Open save in React Spreadsheet component
14 Dec 202424 minutes to read
In import an Excel file, it needs to be read and converted to client side Spreadsheet model. The converted client side Spreadsheet model is sent as JSON which is used to render Spreadsheet. Similarly, when you save the Spreadsheet, the client Spreadsheet model is sent to the server as JSON for processing and saved. Server configuration is used for this process.
To get start quickly with Open and Save, you can check on this video:
Open
The Spreadsheet control opens an Excel document with its data, style, format, and more. To enable this feature, set allowOpen as true and assign service url to the openUrl property.
User Interface:
In user interface you can open an Excel document by clicking File > Open menu item in ribbon.
The following sample shows the Open option by using the openUrl property in the Spreadsheet control. You can also use the beforeOpen event to trigger before opening an Excel file.
import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent } from '@syncfusion/ej2-react-spreadsheet';
function App() {
const beforeOpen = () => {};
return (
<SpreadsheetComponent allowOpen={true} openUrl='https://services.syncfusion.com/react/production/api/spreadsheet/open' beforeOpen={beforeOpen} />
);
};
export default App;
const root = createRoot(document.getElementById('root'));
root.render(<App />);import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent } from '@syncfusion/ej2-react-spreadsheet';
function App() {
const beforeOpen = ():void => {};
return (
<SpreadsheetComponent allowOpen={true} openUrl='https://services.syncfusion.com/react/production/api/spreadsheet/open' beforeOpen={beforeOpen} />
);
};
export default App;
const root = createRoot(document.getElementById('root')!);
root.render(<App />);Please find the below table for the beforeOpen event arguments.
| Parameter | Type | Description |
|---|---|---|
| file | FileList or string or File | To get the file stream. FileList - contains length and item index. File - specifies the file lastModified and file name. |
| cancel | boolean | To prevent the open operation. |
| requestData | object | To provide the Form data. |
Open an excel file using a file uploader
If you explore your machine to select and upload an Excel document using the file uploader, you will receive the uploaded document as a raw file in the success event of the file uploader. In this success event, you should pass the received raw file as an argument to the Spreadsheet’s open method to see the appropriate output.
The following code example shows how to import an Excel document using file uploader in spreadsheet.
import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent } from '@syncfusion/ej2-react-spreadsheet';
import { UploaderComponent } from '@syncfusion/ej2-react-inputs';
function App() {
const spreadsheetRef = React.useRef(null);
const uploaderRef = React.useRef(null);
const asyncSettings = {
saveUrl:
'https://services.syncfusion.com/react/production/api/FileUploader/Save',
removeUrl:
'https://services.syncfusion.com/react/production/api/FileUploader/Remove',
};
const allowedExtensions = '.xlsx, .xls, .csv';
const onSuccess = (args) => {
if (args.operation == 'upload')
spreadsheetRef.current.open({ file: args.file.rawFile });
};
return (
<div>
<UploaderComponent
ref={uploaderRef}
asyncSettings={asyncSettings}
success={onSuccess}
allowedExtensions={allowedExtensions}
></UploaderComponent>
<SpreadsheetComponent
ref={spreadsheetRef}
openUrl="https://services.syncfusion.com/react/production/api/spreadsheet/open"
/>
</div>
);
}
export default App;
const root = createRoot(document.getElementById('root'));
root.render(<App />);import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent } from '@syncfusion/ej2-react-spreadsheet';
import { UploaderComponent } from '@syncfusion/ej2-react-inputs';
function App() {
const spreadsheetRef = React.useRef<SpreadsheetComponent>(null);
const uploaderRef = React.useRef<UploaderComponent>(null);
const asyncSettings = {
saveUrl:
'https://services.syncfusion.com/react/production/api/FileUploader/Save',
removeUrl:
'https://services.syncfusion.com/react/production/api/FileUploader/Remove',
};
const allowedExtensions: string = '.xlsx, .xls, .csv';
const onSuccess = (args) => {
if (args.operation == 'upload')
spreadsheetRef.current.open({ file: args.file.rawFile });
};
return (
<div>
<UploaderComponent
ref={uploaderRef}
asyncSettings={asyncSettings}
success={onSuccess}
allowedExtensions={allowedExtensions}
></UploaderComponent>
<SpreadsheetComponent
ref={spreadsheetRef}
openUrl="https://services.syncfusion.com/react/production/api/spreadsheet/open"
/>
</div>
);
}
export default App;
const root = createRoot(document.getElementById('root')!);
root.render(<App />);Open an external URL excel file while initial load
You can achieve to access the remote Excel file by using the created event. In this event you can fetch the Excel file and convert it to a blob. Convert this blob to a file and open this file by using Spreadsheet component open method.
import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent } from '@syncfusion/ej2-react-spreadsheet';
function App() {
const spreadsheetRef = React.useRef(null);
React.useEffect(() => {
const fetchData = async () => {
const response = await fetch('https://cdn.syncfusion.com/scripts/spreadsheet/Sample.xlsx'); // fetch the remote url
const fileBlob = await response.blob(); // convert the excel file to blob
const file = new File([fileBlob], 'Sample.xlsx'); //convert the blob into file
let spreadsheet = spreadsheetRef.current;
if (spreadsheet) {
spreadsheet.open({ file }); // open the file into Spreadsheet
}
};
fetchData();
}, []);
return (
<SpreadsheetComponent ref={spreadsheetRef} openUrl='https://services.syncfusion.com/react/production/api/spreadsheet/open' />
);
};
export default App;
const root = createRoot(document.getElementById('root'));
root.render(<App />);import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent } from '@syncfusion/ej2-react-spreadsheet';
function App() {
const spreadsheetRef = React.useRef<SpreadsheetComponent>(null);
React.useEffect(() => {
const fetchData = async (): Promise<void> => {
const response: Response = await fetch('https://cdn.syncfusion.com/scripts/spreadsheet/Sample.xlsx'); // fetch the remote url
const fileBlob: Blob = await response.blob(); // convert the excel file to blob
const file: File = new File([fileBlob], 'Sample.xlsx'); //convert the blob into file
let spreadsheet = spreadsheetRef.current;
if (spreadsheet) {
spreadsheet.open({ file }); // open the file into Spreadsheet
}
};
fetchData();
}, []);
return (
<SpreadsheetComponent ref={spreadsheetRef} openUrl='https://services.syncfusion.com/react/production/api/spreadsheet/open' />
);
};
export default App;
const root = createRoot(document.getElementById('root')!);
root.render(<App />);Open an excel file from blob data
By default, the Spreadsheet component provides an option to browse files from the local file system and open them within the component. If you want to open an Excel file from blob data, you need to fetch the blob data from the server or another source and convert this blob data into a File object. Then, you can use the open method in the Spreadsheet component to load that File object.
Please find the code to fetch the blob data and load it into the Spreadsheet component below.
import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent } from '@syncfusion/ej2-react-spreadsheet';
function App() {
const spreadsheetRef = React.useRef(null);
const base64String = "data:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet;base64,UEsDBBQAAAAIAP1o41i4AvtcvQIAAHISAAANAAAAeGwvc3R5bGVzLnhtbOxYW2vbMBT+K0LvreM0ydoQp2yFQGGUsm4wGHuQZdkR1cXIcrH363ckO3bSJOvW9iEDv0RHx/q+c9ElOlpcV1KgJ2YKrlWEw/MRRkxRnXCVRbi06dklRoUlKiFCKxbhmhX4erkobC3Yw5oxi4BAFXNJI7y2Np8HQUHXTJLiXOdMwcdUG0ksdE0WSGIey/yMapkTy2MuuK2D8Wg0w0jS+W2mtCGxADNVOCEUt9y+s0cvOTW60Kk9B7pApymnLChyw0hSOMekcMxXwVXQMf2Ni3sMM/CaK7xcpFrZAlFdKhvhaauAVPxCT0RA7kKMguVCEckaxQ0RPDbca+mamAKS5T+MvCpo4APJfk58U0BuuBBdxse4USwXsHYsM2oFHdTKX+scVo2CJepGZTdaaIO4SljFkgjPJp493tNPG6tbhM64b14wlRlSh+Ppe1nzDUQca5PAZtzEHOKNarkQLLUOb3i29oLVubejrdXSSQknmVZEeCsbWCsAN2VCPLh9+z3tk+oiqFKkSrmS9jbxE+GyvxHBrVZseNpOcBwVHkeRPBf1R8EzJZmzvlF98oP6/l0pY2ZWflf2WpewvndvtGXU+mPrP3NoPDj0QoZGpzZlg0NDhoY1NOyy4Rxyp+Hk4l3/XVdA9cojeuLMn4YncOs7EU/Gp+LJ1ak48uZL7XEU1AidbSQ0fXRX/baaqVL42b52N5dwL7zCvyp9i6MtfHwAH07+keDADaupfn20XaA+7K7WuMRbWuTq5AjfObTYCi0uubBc9YE+R9xoKckGEE53EBfHEejH6GeHmu2gZodRpTHwElJ3oA87oMkfQTvWLneAQHMAeM8MhcXfYWDnbGGawnHPGDHogbgEf2G5NvazX3xQdJZS+XHPpvwl/Dd1nGFrdptJhWqz6svIxoB1bze7c95uhP65aPkbAAD//wMAUEsDBBQAAAAIAP1o41iHwWa9AgMAALMIAAAUAAAAeGwvc2hhcmVkU3RyaW5ncy54bWx0Vl1vGksM/SsW7y1JVN1GFaEKNJCm5ENASe+jYR3Wysx4Mx9ptr++XlVXV1pvn4A5Mx77+PgMk89v3sErxcQSLkan709GQOEgFYfjxajkp3fno8/TSUoZSuCXQnMpIV+Mzk9HcPjz9fTsbAQaJaSLUZ1z82k8ToeaPKb30lBQ5Emix6w/43GcmkhYpZooezc+Ozn5Z+yRw0jv4OkkT+clZfEU4Q49TcZ5Ohl3wB/wVipy/cW5OIn9xQdsPYUM3Yk+9oUca8UtfMFswEvfVdVfXYuXgHBNmBw3fXSLJZZkIr0U9Bg5DCSw5wxzjJWpxWEkmGHOFLOEPrxpMEb5aYrl8GwiYarhPsB/xfbxK9SKYBuRk8lvGTFUMK8pyjMZdOaKWbujrFmHZ1VNH7opjkuCpcRApk3L7b1JPFL1F3ZuKGgTNodaxD0xObNh9aO/8i85Zwm7xdi6NgSCayV0IOm5KiOi5YXI9GTHribnWTNbETfkjHg+woYikxHIUlxFIYopY4Zx36rYODlL2VziK6k+jETJxPmmZQaYCRt1rOmIZpC+hoqPYknH0N0HD+gbx1aTH/ori5IObMibR06Z4So1HMRwsV2ZbFJSDor3dkbKHh7xaMdjWyhV2MICS3ZG8btz2GHIeKSB1Hyy4daS1MUiI2xr8RjMBtUovuKAIsSRUcGqVSnCoqgr0S/T8S5QZThbYxu6U6vuc9D3sJKBQwSPtfqOYfnDuqjojaR2HI+dfi9rjBLY0LoxY/VAGTuDSDUPWG+unzhU9h61AoLvUV8aU4vefLQHVvQTluxa9UPDmGglr+yc4eVG9qQakJiLuWf2bngUZ05U/ATzWLyx9520OJDctsSXIgP2udC+aJdVNzMOIQ2760Pktz5yr4hV5w3qs6uDB0t0+iYYfFPCnq1ZXqN6t4crTIn2ZhhuOQ4Mwh0fnsVhZ9dcqeL7+I9vA5asQoOvR0fJzvzl4SA2swW+wSNnfV5SIwNj15EAa9FXCzaNtvH/DWP9HzL9DQAA//8DAFBLAwQUAAAACAD9aONYKH0NfPcGAAAGJAAAGAAAAHhsL3dvcmtzaGVldHMvc2hlZXQxLnhtbKSabY+jNhDHvwri/QEGzMNqd09NsqiVrmrVSr3XbOJs0JGQAvtw377GBg5mhgbr3qyy5Jc/nmE8/hu4//xxLq03UTdFdXmwmePZlrjsq0NxeXmwX9vjp8S2mja/HPKyuogH+7to7M+P9+9V/a05CdFa8veX5q5+sE9te71z3WZ/Eue8caqruMjvjlV9zlv5b/3iVsdjsRe7av96FpfW9T0vcmtR5q08d3Mqro3dq32wEOmdi31dNdWxdfbVuZdym2st8oMayLnsBFM3dc95cRmUzvs1Azvn9bfX6ycpfJWDeS7Kov2uhjcO6LAqwEOdv8vE6aFE09Ht9De93hotFFqkA3u8V8f+rC338f5QyEx2l86qxfHB/oXdZYG8gm4P/VOI92by2Wqr6xdxbLeiLDvatt7k0Qf70p23tK02f/5blGLfioOsBdvqrvJzVX3rfvubPOR1Z1dAd8pr3hVEL2lbuTz6Jn5IN//2Y1LjccdBTD8Pg8tU4DKm/WvTVudfRfFyaqV2/Sps6yCO+WvZ/lW9D8dZ6Phcye6rUmrIv9a56OrXts75hx57cWhPD7bPnZh5aRBLvmm/l0J9qU/zVSN6gKOG32sEowZLHB57AfNXa4S9RvgT4+C9Bv+JcUS9RvRDI3ZY6EU3JVydWV28eZs/3tfVuyVnQXdl5ZWXNczupKy6HFJsfuGYLJR9R6tCUD+SRxt59O3Ru3ffOv2e2GCCzYktJvw5scNEMCeeMBHOiQwTfCRcGfyYAd8sAz7SjUAGMBGDDGAiARnARAoyoAlfx+6zFIwiGxSUOvdTx/fp+AOz+AN8fWEJEAisAQKBRUAgsAqCWQ54BGtgkFA/jpMoclhKJyE0S0KIxwbOvSEQDpJAIOAq7ggEFNNTOEuCz0Gqs0FCZzDhgeMtJIGbJYHjsYEy3hAIqOMtvzkXMOGDinvi0xwEXgILYZBQPw6CxIlDOgWRWQoiPDSQ/g2BgErfEgio9F10OwfRNAcshd9ng4RqJjxOnHChIcZmOYjx0OBcIBA4FwgEzoX4dkOIZ3MhhXMlGyR0JbKQOdFCV0zMkpDg4YNzbwgEVPqWQMB02SW3CyGZJSHg4CzZIKHWLh4GTkCnIDVLQYoXbbgwEAhcGAgELgzp7RSk87kQwToYJHQReQF3vIhOAvMMDZKHAwBVuqEYMGW2FAPmzI5goEvokSETcQxXh1FD9+8wSZxkIROmVpFwcdAqUQw0SxQDlwiCQetkzwzzwvPAZclGEW1HAumtvYVlghmaRsWDGMCl2hBMCOp6SzAoFf7t6dEzQ1VEsNVmo4jqEX7gOZNWO8+EoX1UPIgSLpkUA9dMtsJBUgzaSMw9pAfLLxtF1PSKvdQJF+wTMzSRigdholZBMKhVEAxqFeHtVhGCpgnSmY0aOhOdm15IhKGRVDwIAHUKgkGdgmDQ9OArOsXMTrIohivoKKI2d1HCl2vC0FAqHoSAGgVmOGoU0YpURLdrYmYqfZ6g2TF1lSzxmL9oK5mhr1Q8CBN1CoJBnSJe0SniFU1zbi45MtijiLZ//1cVhu5S8SBM1CkIBnWK5La7IhhUFXOHGcO9bzZqqF9L+7W432KGJlPxIErQ6zYUA9rJlmBwUaQrlg/gNKFHy0YRPdQkdCZ2cH4fytBpKh6ECfccFAM3HQSDioJgUNfsmXHfgdaPUURP0yRy+FIqDK2m4kGYsGsSTAS7JsGgrkkw6NbczGkynsL1Y9TQNcUZc9KFtdQ3vT1J3J+EXZNiYNckGGQqCAZ1zZ75kQu4gowiahhhmizeo/MNrabiQZiwa1IM7JoEg+7TUQyaIDOryVLoabNRRN9VDXjqTHau81wYek3Fgzhh36QY2DcpBsS5IxhcFjOzGRC3r6dmM2HyWclkwzRPhaHbVDwIAd63pBh445JgYhDmjmDQEtIzQ9+M4FqVjSK6LHxPriFLZWFoNxUPYkDdgmBQt4hWrCHRiikyv4nJYdKzUURXsJ8s3rjxDe2m4kGYqFsQDOoW8YrGGd9eQ2ZukyUp9FijhvY3TD7gWXrAZeg2FQ+iRL2CYFCvSFZMkNtus0dG3+2htjl1m9xLmTPZRs8zYeg2FQ8iQBaLYJDFSldkIr2diZnZDAK4Sc5GDTW5Qi636N7C3bzuvQKjx37YAcbQYhFMAi0WpQNTQTBoAemZcQGB+yH14sTUbYbOZPOqU6FfXNCPw6/5i/g9r1+KS2OV8gUI+XaEI2dYrfOgPstXI9QnmaXnqpVZGv47yTc7hDyn58gF/FhV7fiPfPKuv8zUUavZ56X4WrQn+daMCjAvi5dLd6A/d/dShnUojkdRy3dqsqJuurNPDv1xODy9CfkugH4vRHy0X5pWPeEf3+F5/A8AAP//AwBQSwMEFAAAAAgA/WjjWEIio45GAQAAQgIAAA8AAAB4bC93b3JrYm9vay54bWyMkctOwzAQRX/F8p46iUiAqmklHotuUAVVWRtn3Fj1S7ZD+/lM0kQFumEVj69z5ni8WJ2MJl8QonK2pvksowSscI2y+5p2Sd7c09VycXTh8OncgeBpG+ehpm1Kfs5YFC0YHmfOg8VMumB4wjLsmZNSCXh2ojNgEyuyrGIBNE/YKbbKRzrSTnl5xTNKBBedTDPhzIhi0QfgTWwBktEIzDOW58xwZUfUf7T+QtBqICwXUmnYnSdBuPev3EBNT5oSzWN6aVSCpqa3WLoj/NoInX/slO6LMqsoYZeBbQLBYcKZtW1V/BgDShqQvNNpi6ZTW3yAqnooygHRn9opOMYLrS/7iP3IhptMX2KHRk88kHeuIZI38C4kSoZ0jYY56s4VLsK6wXUPmwiCa4G+stN6E0Co0YiSPhj+Lcq7UY5NSstvAAAA//8DAFBLAwQUAAAACAD9aONYjtrdGNsAAAA3AgAAGgAAAHhsL19yZWxzL3dvcmtib29rLnhtbC5yZWxzrJHBasMwDIZfxei+OOlglFK3l1563fYCxlbi0MQ2ktoubz+zQkihlB16EpLR939Y2/3POKgLEvcpGmiqGhRGl3wfOwNnad/WoFhs9HZIEQ1MyLDfbT9xsFJWOPSZVWFENhBE8kZrdgFHy1XKGMtLm2i0UlrqdLbuZDvUq7r+0LRkwD1THb0BOvoG1PeU8T/s1La9w0Ny5xGjPIjQ10QnDohSoJY6FAPziPVfaapCBaUf26xeacMyDeUzZ5Vb/zT//aX5wRL6L6Fy6qXGcjzb6LuD734BAAD//wMAUEsDBBQAAAAIAP1o41gb/8y3sQAAAOwAAAAQAAAAZG9jUHJvcHMvYXBwLnhtbEyOTwsCIRBHv4p4b7WCiHCNoA6d6hRdxZ0twR3FmaK+fVb05zjzHj+eWd6GKK5QKCRs5bjRUgD61AU8tfLC/WguBbHDzsWE0Mo7kFxasy8pQ+EAJOoAUivPzHmhFPkzDI6airGSPpXBcT3LSaW+Dx7WyV8GQFYTrWcKbgzYQTfK30FpzSrnGLzj2mQ3RNUOLopjpO3OqH/4NA/veDueNXqq9Uv4/Iz6hdoHAAAA//8DAFBLAwQUAAAACAD9aONYpj2ahycBAAA2AgAAEQAAAGRvY1Byb3BzL2NvcmUueG1spJHNasMwEIRfxYhebcl22gRhO4eUnlooNNDSm5DWiYj1g6TUydtXdrDbktx63flm2Nmt1ifVJV/gvDS6RnlGUAKaGyH1rkbH0KYrlPjAtGCd0VCjM3i0bipuKTcOXp2x4IIEn8Qc7angNdqHYCnG9ui6zLgdFhxDBwp08DjPcoxmNoBT/qZhVH6RSoazhZvoJM70ycsZ7Ps+68sRLQjJ8cfL8xvfg2Kp1EMtDpOL29nkR8JnsZuOYmucYsGPIZbxA9vBEPaAFQQmWGB4OEVq51ugphKccgcsGNdYQZToD4QUm3JxV8V9ZyliY9HLAEQSV6eXopPyXm4et0+oKUixSMkyJeU2LylZ0vvV55D1x/8TqOIHW/mPxCmgqfDVr5tvAAAA//8DAFBLAwQUAAAACAD9aONYT1g2JpgAAADlAAAAEwAAAGRvY1Byb3BzL2N1c3RvbS54bWyczkEKgzAQBdCrhNlrbBeliNFND9BF6T7EiQomEzKj1Ns3pdADdPn5n8fvhldY1Y6ZF4oGTnUDCqOjcYmTgU18dQXFYuNoV4po4ECGoe/umRJmWZBVASK3uxiYRVKrNbsZg+W6LGIpPeVgpcQ8afJ+cXgjtwWMos9Nc9EjuY/Gz8eRCv71/sXcxkKhSr97oHT/BgAA//8DAFBLAwQUAAAACAD9aONYylePDEoBAACjBAAAEwAAAFtDb250ZW50X1R5cGVzXS54bWyslE1OwzAQha8SeYsStywQQk27ALZQCS5g7Elj1X/yTEp7eyYJrRCqWiq6GiUz773Pziizxda7YgMZbQy1mFYTUUDQ0diwqkVHTXkvCiQVjHIxQC12gGIxn73vEmDB2oC1aInSg5SoW/AKq5ggcKeJ2Svix7ySSem1WoG8nUzupI6BIFBJvYeYz56gUZ2j4nnLr0cOlovicZzro2qhUnJWK+K2HLryqDCDwxPKTTC/8MpvtIqVwwy2NuHNPuKVryZbA8VSZXpRnv3k1kmknQOsTmMeCYtNYzWYqDvPkgpTBmWwBSDvqtH0bHSrMpg3yvyFrk7w0/scyGfM648Y11dn4Fp5ZcNfAIZplEOZXpnk4H8ShMXLHBNKjvo3APSbbMCUiS0hkz2zD4dwHTNcnr7f/V59eWSHFP2/jzzaHEuXw09m/gUAAP//AwBQSwMEFAAAAAgA/WjjWLgS9sP5AAAA4QIAAAsAAABfcmVscy8ucmVsc6ySQU7DMBBFr2LNvnFaEEKobjfddIcQFxjsSRol9lj2BNLbY1hUFJXQRZe2/zw/fc16O/lBvVPKHQcDy6oGRcGy60JrYJRm8QgqCwaHAwcycKQM2836hQaUMpIPXcyqMEI2cBCJT1pneyCPueJIobw0nDxKOaZWR7Q9tqRXdf2g008GnDPV3hlIe7cE9XqMdA2bm6aztGM7egpy4YtfiULG1JIYmAb9wal/Y+6rAgWlL8usbilDk1Bw5BYxlfkkXSn2ZOTYPpfrrDHGWaW765X+7l57EnQoqC0nmhf6Sswa3d+yJDtmYf+P0Xfm5KTPVnPzCQAA//8DAFBLAQItABQAAAAIAP1o41i4AvtcvQIAAHISAAANAAAAAAAAAAAAIAAAAAAAAAB4bC9zdHlsZXMueG1sUEsBAi0AFAAAAAgA/WjjWIfBZr0CAwAAswgAABQAAAAAAAAAAAAgAAAA6AIAAHhsL3NoYXJlZFN0cmluZ3MueG1sUEsBAi0AFAAAAAgA/WjjWCh9DXz3BgAABiQAABgAAAAAAAAAAAAgAAAAHAYAAHhsL3dvcmtzaGVldHMvc2hlZXQxLnhtbFBLAQItABQAAAAIAP1o41hCIqOORgEAAEICAAAPAAAAAAAAAAAAIAAAAEkNAAB4bC93b3JrYm9vay54bWxQSwECLQAUAAAACAD9aONYjtrdGNsAAAA3AgAAGgAAAAAAAAAAACAAAAC8DgAAeGwvX3JlbHMvd29ya2Jvb2sueG1sLnJlbHNQSwECLQAUAAAACAD9aONYG//Mt7EAAADsAAAAEAAAAAAAAAAAACAAAADPDwAAZG9jUHJvcHMvYXBwLnhtbFBLAQItABQAAAAIAP1o41imPZqHJwEAADYCAAARAAAAAAAAAAAAIAAAAK4QAABkb2NQcm9wcy9jb3JlLnhtbFBLAQItABQAAAAIAP1o41hPWDYmmAAAAOUAAAATAAAAAAAAAAAAIAAAAAQSAABkb2NQcm9wcy9jdXN0b20ueG1sUEsBAi0AFAAAAAgA/WjjWMpXjwxKAQAAowQAABMAAAAAAAAAAAAgAAAAzRIAAFtDb250ZW50X1R5cGVzXS54bWxQSwECLQAUAAAACAD9aONYuBL2w/kAAADhAgAACwAAAAAAAAAAACAAAABIFAAAX3JlbHMvLnJlbHNQSwUGAAAAAAoACgCAAgAAahUAAAAA";
const onCreated = () => {
let spreadsheet = spreadsheetRef.current;
// To obtain blob data from base64 string.
fetch(base64String)
.then((response) => response.blob())
.then((fileBlob) => {
// To convert obtained blob data as a file.
let file = new File([fileBlob], 'Sample.xlsx');
spreadsheet.open({ file: file });
});
}
return (
<div className='control-section spreadsheet-control'>
<SpreadsheetComponent openUrl='https://services.syncfusion.com/react/production/api/spreadsheet/open' saveUrl='https://services.syncfusion.com/react/production/api/spreadsheet/save' ref={spreadsheetRef} created={onCreated}>
</SpreadsheetComponent>
</div>
);
}
export default App;
const root = createRoot(document.getElementById('root'));
root.render(<App />);import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent } from '@syncfusion/ej2-react-spreadsheet';
function App() {
const spreadsheetRef = React.useRef<SpreadsheetComponent>(null);
const base64String: string | ArrayBuffer = "data:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet;base64,UEsDBBQAAAAIAP1o41i4AvtcvQIAAHISAAANAAAAeGwvc3R5bGVzLnhtbOxYW2vbMBT+K0LvreM0ydoQp2yFQGGUsm4wGHuQZdkR1cXIcrH363ckO3bSJOvW9iEDv0RHx/q+c9ElOlpcV1KgJ2YKrlWEw/MRRkxRnXCVRbi06dklRoUlKiFCKxbhmhX4erkobC3Yw5oxi4BAFXNJI7y2Np8HQUHXTJLiXOdMwcdUG0ksdE0WSGIey/yMapkTy2MuuK2D8Wg0w0jS+W2mtCGxADNVOCEUt9y+s0cvOTW60Kk9B7pApymnLChyw0hSOMekcMxXwVXQMf2Ni3sMM/CaK7xcpFrZAlFdKhvhaauAVPxCT0RA7kKMguVCEckaxQ0RPDbca+mamAKS5T+MvCpo4APJfk58U0BuuBBdxse4USwXsHYsM2oFHdTKX+scVo2CJepGZTdaaIO4SljFkgjPJp493tNPG6tbhM64b14wlRlSh+Ppe1nzDUQca5PAZtzEHOKNarkQLLUOb3i29oLVubejrdXSSQknmVZEeCsbWCsAN2VCPLh9+z3tk+oiqFKkSrmS9jbxE+GyvxHBrVZseNpOcBwVHkeRPBf1R8EzJZmzvlF98oP6/l0pY2ZWflf2WpewvndvtGXU+mPrP3NoPDj0QoZGpzZlg0NDhoY1NOyy4Rxyp+Hk4l3/XVdA9cojeuLMn4YncOs7EU/Gp+LJ1ak48uZL7XEU1AidbSQ0fXRX/baaqVL42b52N5dwL7zCvyp9i6MtfHwAH07+keDADaupfn20XaA+7K7WuMRbWuTq5AjfObTYCi0uubBc9YE+R9xoKckGEE53EBfHEejH6GeHmu2gZodRpTHwElJ3oA87oMkfQTvWLneAQHMAeM8MhcXfYWDnbGGawnHPGDHogbgEf2G5NvazX3xQdJZS+XHPpvwl/Dd1nGFrdptJhWqz6svIxoB1bze7c95uhP65aPkbAAD//wMAUEsDBBQAAAAIAP1o41iHwWa9AgMAALMIAAAUAAAAeGwvc2hhcmVkU3RyaW5ncy54bWx0Vl1vGksM/SsW7y1JVN1GFaEKNJCm5ENASe+jYR3Wysx4Mx9ptr++XlVXV1pvn4A5Mx77+PgMk89v3sErxcQSLkan709GQOEgFYfjxajkp3fno8/TSUoZSuCXQnMpIV+Mzk9HcPjz9fTsbAQaJaSLUZ1z82k8ToeaPKb30lBQ5Emix6w/43GcmkhYpZooezc+Ozn5Z+yRw0jv4OkkT+clZfEU4Q49TcZ5Ohl3wB/wVipy/cW5OIn9xQdsPYUM3Yk+9oUca8UtfMFswEvfVdVfXYuXgHBNmBw3fXSLJZZkIr0U9Bg5DCSw5wxzjJWpxWEkmGHOFLOEPrxpMEb5aYrl8GwiYarhPsB/xfbxK9SKYBuRk8lvGTFUMK8pyjMZdOaKWbujrFmHZ1VNH7opjkuCpcRApk3L7b1JPFL1F3ZuKGgTNodaxD0xObNh9aO/8i85Zwm7xdi6NgSCayV0IOm5KiOi5YXI9GTHribnWTNbETfkjHg+woYikxHIUlxFIYopY4Zx36rYODlL2VziK6k+jETJxPmmZQaYCRt1rOmIZpC+hoqPYknH0N0HD+gbx1aTH/ori5IObMibR06Z4So1HMRwsV2ZbFJSDor3dkbKHh7xaMdjWyhV2MICS3ZG8btz2GHIeKSB1Hyy4daS1MUiI2xr8RjMBtUovuKAIsSRUcGqVSnCoqgr0S/T8S5QZThbYxu6U6vuc9D3sJKBQwSPtfqOYfnDuqjojaR2HI+dfi9rjBLY0LoxY/VAGTuDSDUPWG+unzhU9h61AoLvUV8aU4vefLQHVvQTluxa9UPDmGglr+yc4eVG9qQakJiLuWf2bngUZ05U/ATzWLyx9520OJDctsSXIgP2udC+aJdVNzMOIQ2760Pktz5yr4hV5w3qs6uDB0t0+iYYfFPCnq1ZXqN6t4crTIn2ZhhuOQ4Mwh0fnsVhZ9dcqeL7+I9vA5asQoOvR0fJzvzl4SA2swW+wSNnfV5SIwNj15EAa9FXCzaNtvH/DWP9HzL9DQAA//8DAFBLAwQUAAAACAD9aONYKH0NfPcGAAAGJAAAGAAAAHhsL3dvcmtzaGVldHMvc2hlZXQxLnhtbKSabY+jNhDHvwri/QEGzMNqd09NsqiVrmrVSr3XbOJs0JGQAvtw377GBg5mhgbr3qyy5Jc/nmE8/hu4//xxLq03UTdFdXmwmePZlrjsq0NxeXmwX9vjp8S2mja/HPKyuogH+7to7M+P9+9V/a05CdFa8veX5q5+sE9te71z3WZ/Eue8caqruMjvjlV9zlv5b/3iVsdjsRe7av96FpfW9T0vcmtR5q08d3Mqro3dq32wEOmdi31dNdWxdfbVuZdym2st8oMayLnsBFM3dc95cRmUzvs1Azvn9bfX6ycpfJWDeS7Kov2uhjcO6LAqwEOdv8vE6aFE09Ht9De93hotFFqkA3u8V8f+rC338f5QyEx2l86qxfHB/oXdZYG8gm4P/VOI92by2Wqr6xdxbLeiLDvatt7k0Qf70p23tK02f/5blGLfioOsBdvqrvJzVX3rfvubPOR1Z1dAd8pr3hVEL2lbuTz6Jn5IN//2Y1LjccdBTD8Pg8tU4DKm/WvTVudfRfFyaqV2/Sps6yCO+WvZ/lW9D8dZ6Phcye6rUmrIv9a56OrXts75hx57cWhPD7bPnZh5aRBLvmm/l0J9qU/zVSN6gKOG32sEowZLHB57AfNXa4S9RvgT4+C9Bv+JcUS9RvRDI3ZY6EU3JVydWV28eZs/3tfVuyVnQXdl5ZWXNczupKy6HFJsfuGYLJR9R6tCUD+SRxt59O3Ru3ffOv2e2GCCzYktJvw5scNEMCeeMBHOiQwTfCRcGfyYAd8sAz7SjUAGMBGDDGAiARnARAoyoAlfx+6zFIwiGxSUOvdTx/fp+AOz+AN8fWEJEAisAQKBRUAgsAqCWQ54BGtgkFA/jpMoclhKJyE0S0KIxwbOvSEQDpJAIOAq7ggEFNNTOEuCz0Gqs0FCZzDhgeMtJIGbJYHjsYEy3hAIqOMtvzkXMOGDinvi0xwEXgILYZBQPw6CxIlDOgWRWQoiPDSQ/g2BgErfEgio9F10OwfRNAcshd9ng4RqJjxOnHChIcZmOYjx0OBcIBA4FwgEzoX4dkOIZ3MhhXMlGyR0JbKQOdFCV0zMkpDg4YNzbwgEVPqWQMB02SW3CyGZJSHg4CzZIKHWLh4GTkCnIDVLQYoXbbgwEAhcGAgELgzp7RSk87kQwToYJHQReQF3vIhOAvMMDZKHAwBVuqEYMGW2FAPmzI5goEvokSETcQxXh1FD9+8wSZxkIROmVpFwcdAqUQw0SxQDlwiCQetkzwzzwvPAZclGEW1HAumtvYVlghmaRsWDGMCl2hBMCOp6SzAoFf7t6dEzQ1VEsNVmo4jqEX7gOZNWO8+EoX1UPIgSLpkUA9dMtsJBUgzaSMw9pAfLLxtF1PSKvdQJF+wTMzSRigdholZBMKhVEAxqFeHtVhGCpgnSmY0aOhOdm15IhKGRVDwIAHUKgkGdgmDQ9OArOsXMTrIohivoKKI2d1HCl2vC0FAqHoSAGgVmOGoU0YpURLdrYmYqfZ6g2TF1lSzxmL9oK5mhr1Q8CBN1CoJBnSJe0SniFU1zbi45MtijiLZ//1cVhu5S8SBM1CkIBnWK5La7IhhUFXOHGcO9bzZqqF9L+7W432KGJlPxIErQ6zYUA9rJlmBwUaQrlg/gNKFHy0YRPdQkdCZ2cH4fytBpKh6ECfccFAM3HQSDioJgUNfsmXHfgdaPUURP0yRy+FIqDK2m4kGYsGsSTAS7JsGgrkkw6NbczGkynsL1Y9TQNcUZc9KFtdQ3vT1J3J+EXZNiYNckGGQqCAZ1zZ75kQu4gowiahhhmizeo/MNrabiQZiwa1IM7JoEg+7TUQyaIDOryVLoabNRRN9VDXjqTHau81wYek3Fgzhh36QY2DcpBsS5IxhcFjOzGRC3r6dmM2HyWclkwzRPhaHbVDwIAd63pBh445JgYhDmjmDQEtIzQ9+M4FqVjSK6LHxPriFLZWFoNxUPYkDdgmBQt4hWrCHRiikyv4nJYdKzUURXsJ8s3rjxDe2m4kGYqFsQDOoW8YrGGd9eQ2ZukyUp9FijhvY3TD7gWXrAZeg2FQ+iRL2CYFCvSFZMkNtus0dG3+2htjl1m9xLmTPZRs8zYeg2FQ8iQBaLYJDFSldkIr2diZnZDAK4Sc5GDTW5Qi636N7C3bzuvQKjx37YAcbQYhFMAi0WpQNTQTBoAemZcQGB+yH14sTUbYbOZPOqU6FfXNCPw6/5i/g9r1+KS2OV8gUI+XaEI2dYrfOgPstXI9QnmaXnqpVZGv47yTc7hDyn58gF/FhV7fiPfPKuv8zUUavZ56X4WrQn+daMCjAvi5dLd6A/d/dShnUojkdRy3dqsqJuurNPDv1xODy9CfkugH4vRHy0X5pWPeEf3+F5/A8AAP//AwBQSwMEFAAAAAgA/WjjWEIio45GAQAAQgIAAA8AAAB4bC93b3JrYm9vay54bWyMkctOwzAQRX/F8p46iUiAqmklHotuUAVVWRtn3Fj1S7ZD+/lM0kQFumEVj69z5ni8WJ2MJl8QonK2pvksowSscI2y+5p2Sd7c09VycXTh8OncgeBpG+ehpm1Kfs5YFC0YHmfOg8VMumB4wjLsmZNSCXh2ojNgEyuyrGIBNE/YKbbKRzrSTnl5xTNKBBedTDPhzIhi0QfgTWwBktEIzDOW58xwZUfUf7T+QtBqICwXUmnYnSdBuPev3EBNT5oSzWN6aVSCpqa3WLoj/NoInX/slO6LMqsoYZeBbQLBYcKZtW1V/BgDShqQvNNpi6ZTW3yAqnooygHRn9opOMYLrS/7iP3IhptMX2KHRk88kHeuIZI38C4kSoZ0jYY56s4VLsK6wXUPmwiCa4G+stN6E0Co0YiSPhj+Lcq7UY5NSstvAAAA//8DAFBLAwQUAAAACAD9aONYjtrdGNsAAAA3AgAAGgAAAHhsL19yZWxzL3dvcmtib29rLnhtbC5yZWxzrJHBasMwDIZfxei+OOlglFK3l1563fYCxlbi0MQ2ktoubz+zQkihlB16EpLR939Y2/3POKgLEvcpGmiqGhRGl3wfOwNnad/WoFhs9HZIEQ1MyLDfbT9xsFJWOPSZVWFENhBE8kZrdgFHy1XKGMtLm2i0UlrqdLbuZDvUq7r+0LRkwD1THb0BOvoG1PeU8T/s1La9w0Ny5xGjPIjQ10QnDohSoJY6FAPziPVfaapCBaUf26xeacMyDeUzZ5Vb/zT//aX5wRL6L6Fy6qXGcjzb6LuD734BAAD//wMAUEsDBBQAAAAIAP1o41gb/8y3sQAAAOwAAAAQAAAAZG9jUHJvcHMvYXBwLnhtbEyOTwsCIRBHv4p4b7WCiHCNoA6d6hRdxZ0twR3FmaK+fVb05zjzHj+eWd6GKK5QKCRs5bjRUgD61AU8tfLC/WguBbHDzsWE0Mo7kFxasy8pQ+EAJOoAUivPzHmhFPkzDI6airGSPpXBcT3LSaW+Dx7WyV8GQFYTrWcKbgzYQTfK30FpzSrnGLzj2mQ3RNUOLopjpO3OqH/4NA/veDueNXqq9Uv4/Iz6hdoHAAAA//8DAFBLAwQUAAAACAD9aONYpj2ahycBAAA2AgAAEQAAAGRvY1Byb3BzL2NvcmUueG1spJHNasMwEIRfxYhebcl22gRhO4eUnlooNNDSm5DWiYj1g6TUydtXdrDbktx63flm2Nmt1ifVJV/gvDS6RnlGUAKaGyH1rkbH0KYrlPjAtGCd0VCjM3i0bipuKTcOXp2x4IIEn8Qc7angNdqHYCnG9ui6zLgdFhxDBwp08DjPcoxmNoBT/qZhVH6RSoazhZvoJM70ycsZ7Ps+68sRLQjJ8cfL8xvfg2Kp1EMtDpOL29nkR8JnsZuOYmucYsGPIZbxA9vBEPaAFQQmWGB4OEVq51ugphKccgcsGNdYQZToD4QUm3JxV8V9ZyliY9HLAEQSV6eXopPyXm4et0+oKUixSMkyJeU2LylZ0vvV55D1x/8TqOIHW/mPxCmgqfDVr5tvAAAA//8DAFBLAwQUAAAACAD9aONYT1g2JpgAAADlAAAAEwAAAGRvY1Byb3BzL2N1c3RvbS54bWyczkEKgzAQBdCrhNlrbBeliNFND9BF6T7EiQomEzKj1Ns3pdADdPn5n8fvhldY1Y6ZF4oGTnUDCqOjcYmTgU18dQXFYuNoV4po4ECGoe/umRJmWZBVASK3uxiYRVKrNbsZg+W6LGIpPeVgpcQ8afJ+cXgjtwWMos9Nc9EjuY/Gz8eRCv71/sXcxkKhSr97oHT/BgAA//8DAFBLAwQUAAAACAD9aONYylePDEoBAACjBAAAEwAAAFtDb250ZW50X1R5cGVzXS54bWyslE1OwzAQha8SeYsStywQQk27ALZQCS5g7Elj1X/yTEp7eyYJrRCqWiq6GiUz773Pziizxda7YgMZbQy1mFYTUUDQ0diwqkVHTXkvCiQVjHIxQC12gGIxn73vEmDB2oC1aInSg5SoW/AKq5ggcKeJ2Svix7ySSem1WoG8nUzupI6BIFBJvYeYz56gUZ2j4nnLr0cOlovicZzro2qhUnJWK+K2HLryqDCDwxPKTTC/8MpvtIqVwwy2NuHNPuKVryZbA8VSZXpRnv3k1kmknQOsTmMeCYtNYzWYqDvPkgpTBmWwBSDvqtH0bHSrMpg3yvyFrk7w0/scyGfM648Y11dn4Fp5ZcNfAIZplEOZXpnk4H8ShMXLHBNKjvo3APSbbMCUiS0hkz2zD4dwHTNcnr7f/V59eWSHFP2/jzzaHEuXw09m/gUAAP//AwBQSwMEFAAAAAgA/WjjWLgS9sP5AAAA4QIAAAsAAABfcmVscy8ucmVsc6ySQU7DMBBFr2LNvnFaEEKobjfddIcQFxjsSRol9lj2BNLbY1hUFJXQRZe2/zw/fc16O/lBvVPKHQcDy6oGRcGy60JrYJRm8QgqCwaHAwcycKQM2836hQaUMpIPXcyqMEI2cBCJT1pneyCPueJIobw0nDxKOaZWR7Q9tqRXdf2g008GnDPV3hlIe7cE9XqMdA2bm6aztGM7egpy4YtfiULG1JIYmAb9wal/Y+6rAgWlL8usbilDk1Bw5BYxlfkkXSn2ZOTYPpfrrDHGWaW765X+7l57EnQoqC0nmhf6Sswa3d+yJDtmYf+P0Xfm5KTPVnPzCQAA//8DAFBLAQItABQAAAAIAP1o41i4AvtcvQIAAHISAAANAAAAAAAAAAAAIAAAAAAAAAB4bC9zdHlsZXMueG1sUEsBAi0AFAAAAAgA/WjjWIfBZr0CAwAAswgAABQAAAAAAAAAAAAgAAAA6AIAAHhsL3NoYXJlZFN0cmluZ3MueG1sUEsBAi0AFAAAAAgA/WjjWCh9DXz3BgAABiQAABgAAAAAAAAAAAAgAAAAHAYAAHhsL3dvcmtzaGVldHMvc2hlZXQxLnhtbFBLAQItABQAAAAIAP1o41hCIqOORgEAAEICAAAPAAAAAAAAAAAAIAAAAEkNAAB4bC93b3JrYm9vay54bWxQSwECLQAUAAAACAD9aONYjtrdGNsAAAA3AgAAGgAAAAAAAAAAACAAAAC8DgAAeGwvX3JlbHMvd29ya2Jvb2sueG1sLnJlbHNQSwECLQAUAAAACAD9aONYG//Mt7EAAADsAAAAEAAAAAAAAAAAACAAAADPDwAAZG9jUHJvcHMvYXBwLnhtbFBLAQItABQAAAAIAP1o41imPZqHJwEAADYCAAARAAAAAAAAAAAAIAAAAK4QAABkb2NQcm9wcy9jb3JlLnhtbFBLAQItABQAAAAIAP1o41hPWDYmmAAAAOUAAAATAAAAAAAAAAAAIAAAAAQSAABkb2NQcm9wcy9jdXN0b20ueG1sUEsBAi0AFAAAAAgA/WjjWMpXjwxKAQAAowQAABMAAAAAAAAAAAAgAAAAzRIAAFtDb250ZW50X1R5cGVzXS54bWxQSwECLQAUAAAACAD9aONYuBL2w/kAAADhAgAACwAAAAAAAAAAACAAAABIFAAAX3JlbHMvLnJlbHNQSwUGAAAAAAoACgCAAgAAahUAAAAA";
const onCreated = (): void => {
let spreadsheet: SpreadsheetComponent = spreadsheetRef.current;
// To obtain blob data from base64 string.
fetch(base64String as string)
.then((response) => response.blob())
.then((fileBlob) => {
// To convert obtained blob data as a file.
let file: File = new File([fileBlob], 'Sample.xlsx');
spreadsheet.open({ file: file });
});
}
return (
<div className='control-section spreadsheet-control'>
<SpreadsheetComponent openUrl='https://services.syncfusion.com/react/production/api/spreadsheet/open' saveUrl='https://services.syncfusion.com/react/production/api/spreadsheet/save' ref={spreadsheetRef} created={onCreated} >
</SpreadsheetComponent>
</div>
);
}
export default App;
const root = createRoot(document.getElementById('root')!);
root.render(<App />);Open an Excel file located on a server
By default, the Spreadsheet component provides an option to browse files from the local file system and open them within the component. If you want to load an Excel file located on a server, you need to configure the server endpoint to fetch the Excel file from the server location, process it using Syncfusion.EJ2.Spreadsheet.AspNet.Core, and send it back to the client side as JSON data. On the client side, you should use the openFromJson method to load that JSON data into the Spreadsheet component.
Server Endpoint:
public IActionResult Open([FromBody] FileOptions options)
{
OpenRequest open = new OpenRequest();
string filePath = _env.ContentRootPath.ToString() + "\\Files\\" + options.FileName + ".xlsx";
// Getting the file stream from the file path.
FileStream fileStream = new FileStream(filePath, FileMode.Open);
// Converting "MemoryStream" to "IFormFile".
IFormFile formFile = new FormFile(fileStream, 0, fileStream.Length, "", options.FileName + ".xlsx");
open.File = formFile;
// Processing the Excel file and return the workbook JSON.
var result = Workbook.Open(open);
fileStream.Close();
return Content(result);
}
public class FileOptions
{
public string FileName { get; set; } = string.Empty;
}Client Side:
// Fetch call to server to load the Excel file.
fetch('https://localhost:/Home/Open', {
method: 'POST',
headers: {
'Content-Type': 'application/json',
},
body: JSON.stringify({ FileName: 'Sample' }),
})
.then((response) => response.json())
.then((data) => {
// Load the JSON data into spreadsheet.
spreadsheet.openFromJson({ file: data });
})You can find the server endpoint code to fetch and process the Excel file in this attachment. After launching the server endpoint, you need to update the URL on the client side sample as shown below.
// To open an Excel file from the server.
fetch('https://localhost:{port number}/Home/Open')Open an excel file using a hosted web service in AWS Lambda
Before proceeding with the opening process, you should deploy the spreadsheet open/save web API service in AWS Lambda. To host the open/save web service in the AWS Lambda environment, please refer to the following KB documentation.
How to deploy a spreadsheet open and save web API service to AWS Lambda
After deployment, you will get the AWS service URL for the open and save actions. Before opening the Excel file with this hosted open URL, you need to prevent the default file opening process to avoid getting a corrupted file on the open service end. The spreadsheet component appends the file to the formData and sends it to the open service, which causes the file to get corrupted. To prevent this, set the args.cancel value to true in the beforeOpen event. After that, you will get the selected file in the beforeOpen event argument. Then, convert this file into a base64 string and send it to the open service URL using a fetch request.
On the open service end, convert the base64 string back to a file and pass it as an argument to the workbook Open method. The open service will process the file and return the spreadsheet data in JSON format. You will then receive this JSON data in the fetch success callback. Finally, use the openFromJson method to load this JSON data into the spreadsheet component.
The following code example shows how to open an Excel file using a hosted web service in AWS Lambda, as mentioned above.
function Default() {
let spreadsheet;
const beforeOpenHandler = (eventArgs) => {
eventArgs.cancel = true; // To prevent the default open action.
if (eventArgs.file) {
const reader = new FileReader();
reader.readAsDataURL(eventArgs.file);
reader.onload = () => {
// Removing the xlsx file content-type.
const base64Data = reader.result.replace('data:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet;base64,', '');
openExcel({
file: base64Data,
extension: eventArgs.file.name.slice(eventArgs.file.name.lastIndexOf('.') + 1),
password: eventArgs.password || ''
});
};
}
};
const openExcel = (requestData) => {
// Fetch call to AWS server for open processing.
fetch('https://xxxxxxxxxxxxxxxxxx.amazonaws.com/Prod/api/spreadsheet/open', {
method: 'POST',
headers: {
'Accept': 'application/json, text/plain',
'Content-Type': 'application/json;charset=UTF-8'
},
body: JSON.stringify(requestData)
}).then((response) => {
if (response.ok) {
return response.json();
}
}).then((data) => {
// Loading the JSON data into our spreadsheet.
if (data.Workbook && data.Workbook.sheets) {
spreadsheet.openFromJson({ file: data });
}
}).catch((error) => {
console.log(error);
});
};
return (<div className='control-pane'>
<div className='control-section spreadsheet-control'>
<SpreadsheetComponent openUrl='https://xxxxxxxxxxxxxxxxxx.amazonaws.com/Prod/api/spreadsheet/open' ref={(ssObj) => { spreadsheet = ssObj; }} beforeOpen={beforeOpenHandler}>
</SpreadsheetComponent>
</div>
</div>);
}
export default Default;public IActionResult Open(OpenOptions openOptions)
{
// Convert the base64 string to bytes array.
byte[] bytes = Convert.FromBase64String(openOptions.File);
// Loading the bytes array to stream.
MemoryStream stream = new MemoryStream(bytes);
OpenRequest open = new OpenRequest();
// Converting the stream into FormFile.
open.File = new FormFile(stream, 0, bytes.Length, "Sample", "Sample." + openOptions.Extension);
if (string.IsNullOrEmpty(openOptions.Password))
open.Password = openOptions.Password;
var result = Workbook.Open(open);
return Content(result);
}
public class OpenOptions
{
public string File { get; set; } = string.Empty;
public string Password { get; set; } = string.Empty;
public string Extension { get; set; } = string.Empty;
}Open an excel file from Base64 string data
In the Syncfusion Spreadsheet component, there is no direct option to open data as a Base64 string. To achieve this, the import() function fetches the Base64 string, converts it to a Blob, creates a File object from the Blob, and then opens it using the open method in the spreadsheet.
The following code example shows how to open the spreadsheet data as base64 string.
import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent, SheetsDirective, SheetDirective, RangesDirective, RangeDirective, ColumnsDirective, ColumnDirective } from '@syncfusion/ej2-react-spreadsheet';
import { data } from './datasource';
function App() {
const spreadsheetRef = React.useRef(null);
const [base64String, setBase64String] = React.useState('');
const beforeSave = (args) => {
args.needBlobData = true; // To trigger the saveComplete event.
args.isFullPost = false; // Get the spreadsheet data as blob data in the saveComplete event.
}
const saveComplete = (args) => {
// Convert blob data to base64 string.
let reader = new FileReader();
reader.readAsDataURL(args.blobData);
reader.onloadend = function () {
setBase64String(reader.result);
};
}
const importBtn = () => {
let spreadsheet = spreadsheetRef.current;
fetch(base64String)
.then((response) => response.blob())
.then((fileBlob) => {
let file = new File([fileBlob], 'Sample.xlsx');
spreadsheet.open({ file: file });
});
}
const exportBtn = () => {
let spreadsheet = spreadsheetRef.current;
spreadsheet.save({
url: 'https://services.syncfusion.com/react/production/api/spreadsheet/save',
fileName: 'Worksheet',
saveType: 'Xlsx',
}); // Specifies the save URL, file name, file type need to be saved.
// Logs base64 string into the console.
console.log('Base64 String - ', base64String);
}
return (
<div className='control-section spreadsheet-control'>
<button className="e-btn custom-btn" onClick={importBtn}>Import Base64</button>
<button className="e-btn custom-btn" onClick={exportBtn}>Export as Base64</button>
<SpreadsheetComponent openUrl='https://services.syncfusion.com/react/production/api/spreadsheet/open' ref={spreadsheetRef} beforeSave={beforeSave} saveComplete={saveComplete} >
<SheetsDirective>
<SheetDirective name="Car Sales Report">
<RangesDirective>
<RangeDirective dataSource={data}></RangeDirective>
</RangesDirective>
<ColumnsDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={120}></ColumnDirective>
</ColumnsDirective>
</SheetDirective>
</SheetsDirective>
</SpreadsheetComponent>
</div>
);
}
export default App;
const root = createRoot(document.getElementById('root'));
root.render(<App />);import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent, SheetsDirective, SheetDirective, RangesDirective, RangeDirective, ColumnsDirective, ColumnDirective, SaveCompleteEventArgs, BeforeSaveEventArgs } from '@syncfusion/ej2-react-spreadsheet';
import { data } from './datasource';
function App() {
const spreadsheetRef = React.useRef<SpreadsheetComponent>(null);
const [base64String, setBase64String] = React.useState<string>('')
const beforeSave = (args: BeforeSaveEventArgs): void => {
args.needBlobData = true; // To trigger the saveComplete event.
args.isFullPost = false; // Get the spreadsheet data as blob data in the saveComplete event.
}
const saveComplete = (args: SaveCompleteEventArgs): void => {
// Convert blob data to base64 string.
let reader: FileReader = new FileReader();
reader.readAsDataURL(args.blobData);
reader.onloadend = function () {
setBase64String(reader.result);
};
}
const importBtn = (): void => {
let spreadsheet: SpreadsheetComponent = spreadsheetRef.current;
fetch(base64String)
.then((response) => response.blob())
.then((fileBlob) => {
let file: File = new File([fileBlob], 'Sample.xlsx');
spreadsheet.open({ file: file });
});
}
const exportBtn = (): void => {
let spreadsheet: SpreadsheetComponent = spreadsheetRef.current;
spreadsheet.save({
url: 'https://services.syncfusion.com/react/production/api/spreadsheet/save',
fileName: 'Worksheet',
saveType: 'Xlsx',
}); // Specifies the save URL, file name, file type need to be saved.
// Logs base64 string into the console.
console.log('Base64 String - ', base64String);
}
return (
<div className='control-section spreadsheet-control'>
<button className="e-btn custom-btn" onClick={importBtn}>Import Base64</button>
<button className="e-btn custom-btn" onClick={exportBtn}>Export as Base64</button>
<SpreadsheetComponent openUrl='https://services.syncfusion.com/react/production/api/spreadsheet/open' ref={spreadsheetRef} beforeSave={beforeSave} saveComplete={saveComplete} >
<SheetsDirective>
<SheetDirective name="Car Sales Report">
<RangesDirective>
<RangeDirective dataSource={data}></RangeDirective>
</RangesDirective>
<ColumnsDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={120}></ColumnDirective>
</ColumnsDirective>
</SheetDirective>
</SheetsDirective>
</SpreadsheetComponent>
</div>
);
}
export default App;
const root = createRoot(document.getElementById('root')!);
root.render(<App />);Open excel file into a read-only mode
You can open Excel file into a read-only mode by using the openComplete event. In this event, you must protect all the sheets and lock its used range cells by using protectSheet and lockCells methods.
import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { getRangeAddress, SpreadsheetComponent } from '@syncfusion/ej2-react-spreadsheet';
function App() {
const spreadsheetRef = React.useRef(null);
const openComplete = () => {
let spreadsheet = spreadsheetRef.current;
if (spreadsheet) {
let sheets = spreadsheet.sheets;
for (let index = 0; index < sheets.length; index++) {
let name = spreadsheet.sheets[index].name;
let protectSetting = { selectCells: true, formatCells: false };
//To protect the sheet using sheet name
spreadsheet.protectSheet(name, protectSetting);
let address = getRangeAddress([0, 0, sheets[index].usedRange.rowIndex, sheets[index].usedRange.colIndex,]);
//To lock the used range cells
spreadsheet.lockCells(name + '!' + address, true);
}
}
};
return (
<SpreadsheetComponent ref={spreadsheetRef} openComplete={openComplete}
openUrl="https://services.syncfusion.com/react/production/api/spreadsheet/open" />
);
};
export default App;
const root = createRoot(document.getElementById('root'));
root.render(<App />);import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { getRangeAddress, ProtectSettingsModel, SheetModel, SpreadsheetComponent } from '@syncfusion/ej2-react-spreadsheet';
function App() {
const spreadsheetRef = React.useRef<SpreadsheetComponent>(null);
const openComplete = (): void => {
let spreadsheet = spreadsheetRef.current;
if (spreadsheet) {
let sheets: SheetModel[] = spreadsheet.sheets;
for (let index: number = 0; index < sheets.length; index++) {
let name: string = spreadsheet.sheets[index].name as string;
let protectSetting: ProtectSettingsModel = { selectCells: true, formatCells: false };
//To protect the sheet using sheet name
spreadsheet.protectSheet(name, protectSetting);
let address: string = getRangeAddress([0, 0, sheets[index].usedRange.rowIndex as number, sheets[index].usedRange.colIndex as number,]);
//To lock the used range cells
spreadsheet.lockCells(name + '!' + address, true);
}
}
};
return (
<SpreadsheetComponent ref={spreadsheetRef} openComplete={openComplete}
openUrl="https://services.syncfusion.com/react/production/api/spreadsheet/open" />
);
};
export default App;
const root = createRoot(document.getElementById('root')!);
root.render(<App />);Configure JSON deserialization options
Previously, when opening a workbook JSON object into the Spreadsheet using the openFromJson method, the entire workbook, including all features specified in the JSON object, was processed and loaded into the Spreadsheet.
Now, you have the option to selectively ignore some features during the opening of the JSON object by configuring deserialization options and passing them as arguments to the openFromJson method. This argument is optional, and if not configured, the entire workbook JSON object will be loaded without ignoring any features.
spreadsheet.openFromJson({ file: file }, { ignoreStyle: true });| Options | Description |
|---|---|
| onlyValues | If true, only the cell values will be loaded. |
| ignoreStyle | If true, styles will be excluded when loading the JSON data. |
| ignoreFormula | If true, formulas will be excluded when loading the JSON data. |
| ignoreFormat | If true, number formats will be excluded when loading the JSON data. |
| ignoreConditionalFormat | If true, conditional formatting will be excluded when loading the JSON data. |
| ignoreValidation | If true, data validation rules will be excluded when loading the JSON data. |
| ignoreFreezePane | If true, freeze panes will be excluded when loading the JSON data. |
| ignoreWrap | If true, text wrapping settings will be excluded when loading the JSON data. |
| ignoreChart | If true, charts will be excluded when loading the JSON data. |
| ignoreImage | If true, images will be excluded when loading the JSON data. |
| ignoreNote | If true, notes will be excluded when loading the JSON data. |
The following code snippet demonstrates how to configure the deserialization options and pass them as arguments to the openFromJson method:
import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent } from '@syncfusion/ej2-react-spreadsheet';
import { UploaderComponent } from '@syncfusion/ej2-react-inputs';
function App() {
const spreadsheetRef = React.useRef(null);
const uploaderRef = React.useRef(null);
const asyncSettings = {
saveUrl:
'https://services.syncfusion.com/react/production/api/FileUploader/Save',
removeUrl:
'https://services.syncfusion.com/react/production/api/FileUploader/Remove',
};
const allowedExtensions = '.xlsx, .xls, .csv';
const buttons = { browse: 'Choose file' },
const onSuccess = (args) => {
if (args.operation == 'upload')
spreadsheetRef.current.open({ file: args.file.rawFile });
};
const createOptions = () => {
let options = {};
options.ignoreStyle = document.getElementById('style').checked;
options.ignoreFormula = document.getElementById('formula').checked;
options.ignoreFormat = document.getElementById('format').checked;
options.ignoreConditionalFormat = document.getElementById('cf').checked;
options.ignoreValidation = document.getElementById('dv').checked;
options.ignoreFreezePane = document.getElementById('freeze').checked;
options.ignoreWrap = document.getElementById('wrap').checked;
options.ignoreChart = document.getElementById('chart').checked;
options.ignoreImage = document.getElementById('image').checked;
options.ignoreNote = document.getElementById('note').checked;
return options;
}
const toggleCheckboxes = () => {
let valueOnlyCheckbox = document.getElementById('valueOnly');
let checkboxes = document.querySelectorAll('#Openfromjson input[type="checkbox"]:not(#valueOnly)');
checkboxes.forEach(checkbox => {
(checkbox).disabled = valueOnlyCheckbox.checked;
if (valueOnlyCheckbox.checked) {
(checkbox).checked = false;
}
});
}
const beforeOpen = (args) => {
args.cancel = true;
let valueOnlyCheckbox = document.getElementById("valueOnly").checked;
let options = valueOnlyCheckbox ? { onlyValues: true } : createOptions();
fetch(
'https://services.syncfusion.com/react/production/api/spreadsheet/open',
args.requestData
).then((response) => {
response.json().then((data) => {
spreadsheetRef.current.openFromJson({ file: data }, options)
});
});
}
return (<div className='control-pane'>
<div className='control-section spreadsheet-control'>
<div id="Openfromjson">
<label id="Heading">Open From Json Options:</label> <br/>
<input type="checkbox" id="valueOnly" onChange={toggleCheckboxes}/><label htmlFor="valueOnly">Only Values</label>
<input type="checkbox" id="style"/><label htmlFor="style">Ignore Style</label>
<input type="checkbox" id="formula"/><label htmlFor="formula">Ignore Formula</label>
<input type="checkbox" id="format"/><label htmlFor="format">Ignore Format</label>
<input type="checkbox" id="cf"/><label htmlFor="cf">Ignore CF</label>
<input type="checkbox" id="dv"/><label htmlFor="dv">Ignore Validation</label>
<input type="checkbox" id="freeze"/><label htmlFor="freeze">Ignore Freezepane</label>
<input type="checkbox" id="wrap"/><label htmlFor="wrap">Ignore Wrap</label>
<input type="checkbox" id="chart"/><label htmlFor="chart">Ignore Chart</label>
<input type="checkbox" id="image"/><label htmlFor="image">Ignore Image</label>
<input type="checkbox" id="note"/><label htmlFor="note">Ignore Note</label>
<UploaderComponent
ref={uploaderRef}
asyncSettings={asyncSettings}
success={onSuccess}
allowedExtensions={allowedExtensions}
buttons={buttons}
showFileList={false}
></UploaderComponent>
</div>
<SpreadsheetComponent ref={spreadsheetRef} beforeOpen={beforeOpen}>
</SpreadsheetComponent>
</div>
</div>);
}
export default App;
const root = createRoot(document.getElementById('root'));
root.render(<App />);import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent, BeforeOpenEventArgs, SerializationOptions } from '@syncfusion/ej2-react-spreadsheet';
import { UploaderComponent } from '@syncfusion/ej2-react-inputs';
function App() {
const spreadsheetRef = React.useRef<SpreadsheetComponent>(null);
const uploaderRef = React.useRef<UploaderComponent>(null);
const asyncSettings = {
saveUrl:
'https://services.syncfusion.com/react/production/api/FileUploader/Save',
removeUrl:
'https://services.syncfusion.com/react/production/api/FileUploader/Remove',
};
const allowedExtensions: string = '.xlsx, .xls, .csv';
const buttons = { browse: 'Choose file' },
const onSuccess = (args) => {
if (args.operation == 'upload')
spreadsheetRef.current.open({ file: args.file.rawFile });
};
const createOptions = () => {
const options: SerializationOptions = {};
options.ignoreStyle = (document.getElementById('style') as HTMLInputElement).checked;
options.ignoreFormula = (document.getElementById('formula') as HTMLInputElement).checked;
options.ignoreFormat = (document.getElementById('format') as HTMLInputElement).checked;
options.ignoreConditionalFormat = (document.getElementById('cf') as HTMLInputElement).checked;
options.ignoreValidation = (document.getElementById('dv') as HTMLInputElement).checked;
options.ignoreFreezePane = (document.getElementById('freeze') as HTMLInputElement).checked;
options.ignoreWrap = (document.getElementById('wrap') as HTMLInputElement).checked;
options.ignoreChart = (document.getElementById('chart') as HTMLInputElement).checked;
options.ignoreImage = (document.getElementById('image') as HTMLInputElement).checked;
options.ignoreNote = (document.getElementById('note') as HTMLInputElement).checked;
return options;
}
const toggleCheckboxes = () => {
let valueOnlyCheckbox: HTMLInputElement = document.getElementById('valueOnly') as HTMLInputElement;
let checkboxes: NodeListOf<Element> = document.querySelectorAll('#Openfromjson input[type="checkbox"]:not(#valueOnly)');
checkboxes.forEach(checkbox => {
(checkbox as HTMLInputElement).disabled = valueOnlyCheckbox.checked;
if (valueOnlyCheckbox.checked) {
(checkbox as HTMLInputElement).checked = false;
}
});
}
const beforeOpen = (args: BeforeOpenEventArgs) => {
args.cancel = true;
let valueOnlyCheckbox: boolean = (document.getElementById("valueOnly") as HTMLInputElement).checked;
let options: SerializationOptions = valueOnlyCheckbox ? { onlyValues: true } : createOptions();
fetch(
'https://services.syncfusion.com/react/production/api/spreadsheet/open',
args.requestData
).then((response) => {
response.json().then((data) => {
spreadsheetRef.current.openFromJson({ file: data }, options)
});
});
}
return (<div className='control-pane'>
<div className='control-section spreadsheet-control'>
<div id="Openfromjson">
<label id="Heading">Open From Json Options:</label> <br/>
<input type="checkbox" id="valueOnly" onChange={toggleCheckboxes}/><label htmlFor="valueOnly">Only Values</label>
<input type="checkbox" id="style"/><label htmlFor="style">Ignore Style</label>
<input type="checkbox" id="formula"/><label htmlFor="formula">Ignore Formula</label>
<input type="checkbox" id="format"/><label htmlFor="format">Ignore Format</label>
<input type="checkbox" id="cf"/><label htmlFor="cf">Ignore CF</label>
<input type="checkbox" id="dv"/><label htmlFor="dv">Ignore Validation</label>
<input type="checkbox" id="freeze"/><label htmlFor="freeze">Ignore Freezepane</label>
<input type="checkbox" id="wrap"/><label htmlFor="wrap">Ignore Wrap</label>
<input type="checkbox" id="chart"/><label htmlFor="chart">Ignore Chart</label>
<input type="checkbox" id="image"/><label htmlFor="image">Ignore Image</label>
<input type="checkbox" id="note"/><label htmlFor="note">Ignore Note</label>
<UploaderComponent
ref={uploaderRef}
asyncSettings={asyncSettings}
success={onSuccess}
allowedExtensions={allowedExtensions}
buttons={buttons}
showFileList={false}
></UploaderComponent>
</div>
<SpreadsheetComponent ref={spreadsheetRef} beforeOpen={beforeOpen}>
</SpreadsheetComponent>
</div>
</div>);
}
export default App;
const root = createRoot(document.getElementById('root')!);
root.render(<App />);Add custom header during open
You can add your own custom header to the open action in the Spreadsheet. For processing the data, it has to be sent from server to client side and adding customer header can provide privacy to the data with the help of Authorization Token. Through the beforeOpen event, the custom header can be added to the request during open action.
import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent } from '@syncfusion/ej2-react-spreadsheet';
function App() {
const beforeOpen = (args) => {
args.requestData = {
...args.requestData,
headers: { Authorization: 'YOUR TEXT' },
};
};
return (
<SpreadsheetComponent openUrl="https://services.syncfusion.com/react/production/api/spreadsheet/open" beforeOpen={beforeOpen} />
);
};
export default App;
const root = createRoot(document.getElementById('root'));
root.render(<App />);import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { BeforeOpenEventArgs, SpreadsheetComponent } from '@syncfusion/ej2-react-spreadsheet';
function App() {
const beforeOpen = (args: BeforeOpenEventArgs): void => {
args.requestData = {
...args.requestData,
headers: { Authorization: 'YOUR TEXT' },
};
};
return (
<SpreadsheetComponent openUrl="https://services.syncfusion.com/react/production/api/spreadsheet/open" beforeOpen={beforeOpen} />
);
};
export default App;
const root = createRoot(document.getElementById('root')!);
root.render(<App />);Chunk response processing
When opening large Excel files with many features and data, the server response can become very large. This might cause memory issues or connection problems during data transmission. The Chunk Response Processing feature solves this by dividing the server response into smaller parts, called chunks, and sending them to the client in parallel. The client receives these chunks and combines them to load the Excel data smoothly into the spreadsheet.
You can enable this feature by setting the chunkSize property in the openSettings object. Set the chunkSize to a value greater than 0 (in bytes). The chunkSize defines how large each chunk will be. Make sure your server supports chunked responses to use this feature effectively.
This feature reduces memory usage on both the server and client, ensuring that resources are managed efficiently during data transmission. By sending smaller parts of data, it prevents connection issues that could occur with large payloads, making the transmission process more reliable. Additionally, it allows large Excel files to be loaded smoothly into the spreadsheet, providing a seamless user experience even with extensive data.
The following code example demonstrates the client-side and server-side configuration required for handling chunk-based responses when opening an Excel file.
Client Side:
import { SpreadsheetComponent } from '@syncfusion/ej2-react-spreadsheet';
const App = () => {
const spreadsheetRef = React.useRef(null);
const openSettings = {
// Specifies the size (in bytes) of each chunk for the server response when opening a document.
chunkSize: 1000000,
// Specifies the number of retry attempts for a failed server request when returning the opened file responses in chunks.
// This ensures reliable handling of temporary network or server disruptions during the chunked response process.
retryCount: 3,
// Specifies the delay (in milliseconds) before retrying a failed server request when returning the opened file responses in chunks.
// This ensures controlled retries in case of temporary network or server disruptions during the chunked response process.
retryAfterDelay: 500
}
const openUrl = 'https://localhost:{port number}/Home/Open';
return (
<div className='control-section spreadsheet-control'>
<SpreadsheetComponent openUrl={openUrl} openSettings={openSettings} ref={spreadsheetRef}>
</SpreadsheetComponent>
</div>
);
}
export default App;Server Endpoint:
public IActionResult Open(IFormCollection openRequest)
{
OpenRequest open = new OpenRequest();
if (openRequest.Files.Count > 0)
{
open.File = openRequest.Files[0];
}
Microsoft.Extensions.Primitives.StringValues chunkPayload;
if (openRequest.TryGetValue("chunkPayload", out chunkPayload))
{
// The chunk payload JSON data includes information essential for processing chunked responses.
open.ChunkPayload = chunkPayload;
}
var result = Workbook.Open(open, 150);
return Content(result);
}The attachment includes the server endpoint code for handling chunk-based open processing. After launching the server endpoint, update the openUrl property of the spreadsheet in the client-side sample with the server URL, as shown below.
// Specifies the service URL for processing the Excel file, converting it into a format suitable for loading in the spreadsheet.
<SpreadsheetComponent ref={spreadsheetRef} openUrl="https://localhost:{port number}/Home/Open">
</SpreadsheetComponent>External workbook confirmation dialog
When you open an Excel file that contains external workbook references, you will see a confirmation dialog. This dialog allows you to either continue with the file opening or cancel the operation. This confirmation dialog will appear only if you set the AllowExternalWorkbook property value to false during the open request, as shown below. This prevents the spreadsheet from displaying inconsistent data.
public IActionResult Open(IFormCollection openRequest)
{
OpenRequest open = new OpenRequest();
open.AllowExternalWorkbook = false;
open.File = openRequest.Files[0];
return Content(Workbook.Open(open));
}This feature is only applicable when importing an Excel file and not when loading JSON data or binding cell data.
Supported file formats
The following list of Excel file formats are supported in Spreadsheet:
- MS Excel (.xlsx)
- MS Excel 97-2003 (.xls)
- Comma Separated Values (.csv)
- Excel Macro-Enabled Workbook (.xlsm)
- Excel Binary Workbook(.xlsb)
Save
The Spreadsheet control saves its data, style, format, and more as Excel file document. To enable this feature, set allowSave as true and assign service url to the saveUrl property.
User Interface:
In user interface, you can save Spreadsheet data as Excel document by clicking File > Save As menu item in ribbon.
The following sample shows the Save option by using the saveUrl property in the Spreadsheet control. You can also use the beforeSave event to trigger before saving the Spreadsheet as an Excel file.
import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent, SheetsDirective, SheetDirective, RangesDirective } from '@syncfusion/ej2-react-spreadsheet';
import { RangeDirective, ColumnsDirective, ColumnDirective } from '@syncfusion/ej2-react-spreadsheet';
import { defaultData } from './datasource';
function App() {
const beforeSave = () => {};
return (
<SpreadsheetComponent allowSave={true} saveUrl='https://services.syncfusion.com/react/production/api/spreadsheet/save' beforeSave={beforeSave}>
<SheetsDirective>
<SheetDirective>
<RangesDirective>
<RangeDirective dataSource={defaultData}></RangeDirective>
</RangesDirective>
<ColumnsDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
</ColumnsDirective>
</SheetDirective>
</SheetsDirective>
</SpreadsheetComponent>
);
};
export default App;
const root = createRoot(document.getElementById('root'));
root.render(<App />);import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent, SheetsDirective, SheetDirective, RangesDirective } from '@syncfusion/ej2-react-spreadsheet';
import { RangeDirective, ColumnsDirective, ColumnDirective } from '@syncfusion/ej2-react-spreadsheet';
import { defaultData } from './datasource';
function App() {
const beforeSave = (): void => {};
return (
<SpreadsheetComponent allowSave={true} saveUrl='https://services.syncfusion.com/react/production/api/spreadsheet/save' beforeSave={beforeSave}>
<SheetsDirective>
<SheetDirective>
<RangesDirective>
<RangeDirective dataSource={defaultData}></RangeDirective>
</RangesDirective>
<ColumnsDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
</ColumnsDirective>
</SheetDirective>
</SheetsDirective>
</SpreadsheetComponent>
);
};
export default App;
const root = createRoot(document.getElementById('root')!);
root.render(<App />);/**
* Default data source
*/
export let defaultData = [
{ 'Item Name': 'Casual Shoes', Date: '02/14/2014', Time: '11:34:32 AM', Quantity: 10, Price: 20, Amount: 200, Discount: 1, Profit: 10 },
{ 'Item Name': 'Sports Shoes', Date: '06/11/2014', Time: '05:56:32 AM', Quantity: 20, Price: 30, Amount: 600, Discount: 5, Profit: 50 },
{ 'Item Name': 'Formal Shoes', Date: '07/27/2014', Time: '03:32:44 AM', Quantity: 20, Price: 15, Amount: 300, Discount: 7, Profit: 27 },
{ 'Item Name': 'Sandals & Floaters', Date: '11/21/2014', Time: '06:23:54 AM', Quantity: 15, Price: 20, Amount: 300, Discount: 11, Profit: 67 },
{ 'Item Name': 'Flip- Flops & Slippers', Date: '06/23/2014', Time: '12:43:59 AM', Quantity: 30, Price: 10, Amount: 300, Discount: 10, Profit: 70 },
{ 'Item Name': 'Sneakers', Date: '07/22/2014', Time: '10:55:53 AM', Quantity: 40, Price: 20, Amount: 800, Discount: 13, Profit: 66 },
{ 'Item Name': 'Running Shoes', Date: '02/04/2014', Time: '03:44:34 AM', Quantity: 20, Price: 10, Amount: 200, Discount: 3, Profit: 14 },
{ 'Item Name': 'Loafers', Date: '11/30/2014', Time: '03:12:52 AM', Quantity: 31, Price: 10, Amount: 310, Discount: 6, Profit: 29 },
{ 'Item Name': 'Cricket Shoes', Date: '07/09/2014', Time: '11:32:14 AM', Quantity: 41, Price: 30, Amount: 1210, Discount: 12, Profit: 166 },
{ 'Item Name': 'T-Shirts', Date: '10/31/2014', Time: '12:01:44 AM', Quantity: 50, Price: 10, Amount: 500, Discount: 9, Profit: 55 },
];
/**
* Grid datasource
*/
export function getTradeData(dataCount) {
let employees = [
'Michael', 'Kathryn', 'Tamer', 'Martin', 'Davolio', 'Nancy', 'Fuller', 'Leverling', 'Peacock',
'Margaret', 'Buchanan', 'Janet', 'Andrew', 'Callahan', 'Laura', 'Dodsworth', 'Anne',
'Bergs', 'Vinet', 'Anton', 'Fleet', 'Zachery', 'Van', 'King', 'Jack', 'Rose'
];
let designation = ['Manager', 'CFO', 'Designer', 'Developer', 'Program Directory', 'System Analyst', 'Project Lead'];
let mail = ['sample.com', 'arpy.com', 'rpy.com', 'mail.com', 'jourrapide.com'];
let location = ['UK', 'USA', 'Sweden', 'France', 'Canada', 'Argentina', 'Austria', 'Germany', 'Mexico'];
let status = ['Active', 'Inactive'];
let trustworthiness = ['Perfect', 'Sufficient', 'Insufficient'];
let tradeData = [];
let address = ['59 rue de lAbbaye', 'Luisenstr. 48', 'Rua do Paço, 67', '2, rue du Commerce', 'Boulevard Tirou, 255',
'Rua do mailPaço, 67', 'Hauptstr. 31', 'Starenweg 5', 'Rua do Mercado, 12',
'Carrera 22 con Ave. Carlos Soublette #8-35', 'Kirchgasse 6',
'Sierras de Granada 9993', 'Mehrheimerstr. 369', 'Rua da Panificadora, 12', '2817 Milton Dr.', 'Kirchgasse 6',
'Åkergatan 24', '24, place Kléber', 'Torikatu 38', 'Berliner Platz 43', '5ª Ave. Los Palos Grandes', '1029 - 12th Ave. S.',
'Torikatu 38', 'P.O. Box 555', '2817 Milton Dr.', 'Taucherstraße 10', '59 rue de lAbbaye', 'Via Ludovico il Moro 22',
'Avda. Azteca 123', 'Heerstr. 22', 'Berguvsvägen 8', 'Magazinweg 7', 'Berguvsvägen 8', 'Gran Vía, 1', 'Gran Vía, 1',
'Carrera 52 con Ave. Bolívar #65-98 Llano Largo', 'Magazinweg 7', 'Taucherstraße 10', 'Taucherstraße 10',
'Av. Copacabana, 267', 'Strada Provinciale 124', 'Fauntleroy Circus', 'Av. dos Lusíadas, 23',
'Rua da Panificadora, 12', 'Av. Inês de Castro, 414', 'Avda. Azteca 123', '2817 Milton Dr.'];
let employeeimg = ['usermale', 'userfemale'];
if (typeof dataCount === 'string') {
dataCount = parseInt(dataCount, 10);
}
for (let i = 1; i <= dataCount; i++) {
let code = 10000;
tradeData.push({
'EmployeeID': code + i,
'Employees': employees[Math.floor(Math.random() * employees.length)] + ' ' + employees[Math.floor(Math.random() * employees.length)],
'Designation': designation[Math.floor(Math.random() * designation.length)],
'Location': location[Math.floor(Math.random() * location.length)],
'Status': status[Math.floor(Math.random() * status.length)],
'Trustworthiness': trustworthiness[Math.floor(Math.random() * trustworthiness.length)],
'Rating': Math.floor(Math.random() * 5),
'Software': Math.floor(Math.random() * 100),
'EmployeeImg': employeeimg[Math.floor(Math.random() * employeeimg.length)],
'CurrentSalary': Math.floor((Math.random() * 100000)),
'Address': address[Math.floor(Math.random() * address.length)],
});
let employee = 'Employees';
let emp = tradeData[i - 1][employee];
let sName = emp.substr(0, emp.indexOf(' ')).toLowerCase();
let empmail = 'Mail';
tradeData[i - 1][empmail] = sName + (Math.floor(Math.random() * 100) + 10) + '@' + mail[Math.floor(Math.random() * mail.length)];
}
return tradeData;
}
export let tradeData = [
{
"EmployeeID": 10001,
"Employees": "Laura Nancy",
"Designation": "Designer",
"Location": "France",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 69,
"EmployeeImg": "usermale",
"CurrentSalary": 84194,
"Address": "Taucherstraße 10",
"Mail": "laura15@jourrapide.com"
},
{
"EmployeeID": 10002,
"Employees": "Zachery Van",
"Designation": "CFO",
"Location": "Canada",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 99,
"EmployeeImg": "usermale",
"CurrentSalary": 55349,
"Address": "5ª Ave. Los Palos Grandes",
"Mail": "zachery109@sample.com"
},
{
"EmployeeID": 10003,
"Employees": "Rose Fuller",
"Designation": "CFO",
"Location": "France",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 1,
"EmployeeImg": "usermale",
"CurrentSalary": 16477,
"Address": "2817 Milton Dr.",
"Mail": "rose55@rpy.com"
},
{
"EmployeeID": 10004,
"Employees": "Jack Bergs",
"Designation": "Manager",
"Location": "Mexico",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 36,
"EmployeeImg": "usermale",
"CurrentSalary": 49040,
"Address": "2, rue du Commerce",
"Mail": "jack30@sample.com"
},
{
"EmployeeID": 10005,
"Employees": "Vinet Bergs",
"Designation": "Program Directory",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 39,
"EmployeeImg": "usermale",
"CurrentSalary": 5495,
"Address": "Rua da Panificadora, 12",
"Mail": "vinet32@jourrapide.com"
},
{
"EmployeeID": 10006,
"Employees": "Buchanan Van",
"Designation": "Designer",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 4,
"Software": 78,
"EmployeeImg": "usermale",
"CurrentSalary": 42182,
"Address": "24, place Kléber",
"Mail": "buchanan18@mail.com"
},
{
"EmployeeID": 10007,
"Employees": "Dodsworth Nancy",
"Designation": "Project Lead",
"Location": "USA",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 0,
"EmployeeImg": "userfemale",
"CurrentSalary": 35776,
"Address": "Rua do Paço, 67",
"Mail": "dodsworth84@mail.com"
},
{
"EmployeeID": 10008,
"Employees": "Laura Jack",
"Designation": "Developer",
"Location": "Austria",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 89,
"EmployeeImg": "usermale",
"CurrentSalary": 25108,
"Address": "Rua da Panificadora, 12",
"Mail": "laura82@mail.com"
},
{
"EmployeeID": 10009,
"Employees": "Anne Fuller",
"Designation": "Program Directory",
"Location": "Mexico",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 0,
"Software": 19,
"EmployeeImg": "userfemale",
"CurrentSalary": 32568,
"Address": "Gran Vía, 1",
"Mail": "anne97@jourrapide.com"
},
{
"EmployeeID": 10010,
"Employees": "Buchanan Andrew",
"Designation": "Designer",
"Location": "Austria",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 62,
"EmployeeImg": "userfemale",
"CurrentSalary": 12320,
"Address": "P.O. Box 555",
"Mail": "buchanan50@jourrapide.com"
},
{
"EmployeeID": 10011,
"Employees": "Andrew Janet",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 8,
"EmployeeImg": "userfemale",
"CurrentSalary": 20890,
"Address": "Starenweg 5",
"Mail": "andrew63@mail.com"
},
{
"EmployeeID": 10012,
"Employees": "Margaret Tamer",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 4,
"Software": 7,
"EmployeeImg": "userfemale",
"CurrentSalary": 22337,
"Address": "Magazinweg 7",
"Mail": "margaret26@mail.com"
},
{
"EmployeeID": 10013,
"Employees": "Tamer Fuller",
"Designation": "CFO",
"Location": "Canada",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 78,
"EmployeeImg": "usermale",
"CurrentSalary": 89181,
"Address": "Taucherstraße 10",
"Mail": "tamer40@arpy.com"
},
{
"EmployeeID": 10014,
"Employees": "Tamer Anne",
"Designation": "CFO",
"Location": "Sweden",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 18,
"EmployeeImg": "usermale",
"CurrentSalary": 20998,
"Address": "Taucherstraße 10",
"Mail": "tamer68@arpy.com"
},
{
"EmployeeID": 10015,
"Employees": "Anton Davolio",
"Designation": "Project Lead",
"Location": "France",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 4,
"Software": 8,
"EmployeeImg": "userfemale",
"CurrentSalary": 48232,
"Address": "Luisenstr. 48",
"Mail": "anton46@mail.com"
},
{
"EmployeeID": 10016,
"Employees": "Buchanan Buchanan",
"Designation": "System Analyst",
"Location": "Austria",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 19,
"EmployeeImg": "usermale",
"CurrentSalary": 43041,
"Address": "Carrera 52 con Ave. Bolívar #65-98 Llano Largo",
"Mail": "buchanan68@mail.com"
},
{
"EmployeeID": 10017,
"Employees": "King Buchanan",
"Designation": "Program Directory",
"Location": "Sweden",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 44,
"EmployeeImg": "userfemale",
"CurrentSalary": 25259,
"Address": "Magazinweg 7",
"Mail": "king80@jourrapide.com"
},
{
"EmployeeID": 10018,
"Employees": "Rose Michael",
"Designation": "Project Lead",
"Location": "Canada",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 4,
"Software": 31,
"EmployeeImg": "userfemale",
"CurrentSalary": 91156,
"Address": "Fauntleroy Circus",
"Mail": "rose75@mail.com"
},
{
"EmployeeID": 10019,
"Employees": "King Bergs",
"Designation": "Developer",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 2,
"Software": 29,
"EmployeeImg": "userfemale",
"CurrentSalary": 28826,
"Address": "2817 Milton Dr.",
"Mail": "king57@jourrapide.com"
},
{
"EmployeeID": 10020,
"Employees": "Davolio Fuller",
"Designation": "Designer",
"Location": "Canada",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 3,
"Software": 35,
"EmployeeImg": "userfemale",
"CurrentSalary": 71035,
"Address": "Gran Vía, 1",
"Mail": "davolio29@arpy.com"
},
{
"EmployeeID": 10021,
"Employees": "Rose Rose",
"Designation": "CFO",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 38,
"EmployeeImg": "usermale",
"CurrentSalary": 68123,
"Address": "Rua do Mercado, 12",
"Mail": "rose54@arpy.com"
},
{
"EmployeeID": 10022,
"Employees": "Andrew Michael",
"Designation": "Program Directory",
"Location": "UK",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 2,
"Software": 61,
"EmployeeImg": "userfemale",
"CurrentSalary": 75470,
"Address": "2, rue du Commerce",
"Mail": "andrew88@jourrapide.com"
},
{
"EmployeeID": 10023,
"Employees": "Davolio Kathryn",
"Designation": "Manager",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 25,
"EmployeeImg": "usermale",
"CurrentSalary": 25234,
"Address": "Hauptstr. 31",
"Mail": "davolio42@sample.com"
},
{
"EmployeeID": 10024,
"Employees": "Anne Fleet",
"Designation": "System Analyst",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 0,
"EmployeeImg": "userfemale",
"CurrentSalary": 8341,
"Address": "59 rue de lAbbaye",
"Mail": "anne86@arpy.com"
},
{
"EmployeeID": 10025,
"Employees": "Margaret Andrew",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 51,
"EmployeeImg": "userfemale",
"CurrentSalary": 84975,
"Address": "P.O. Box 555",
"Mail": "margaret41@arpy.com"
},
{
"EmployeeID": 10026,
"Employees": "Kathryn Laura",
"Designation": "Project Lead",
"Location": "Austria",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 48,
"EmployeeImg": "usermale",
"CurrentSalary": 97282,
"Address": "Avda. Azteca 123",
"Mail": "kathryn82@rpy.com"
},
{
"EmployeeID": 10027,
"Employees": "Michael Michael",
"Designation": "Developer",
"Location": "UK",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 4,
"Software": 16,
"EmployeeImg": "usermale",
"CurrentSalary": 4184,
"Address": "Rua do Paço, 67",
"Mail": "michael58@jourrapide.com"
},
{
"EmployeeID": 10028,
"Employees": "Leverling Vinet",
"Designation": "Project Lead",
"Location": "Germany",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 57,
"EmployeeImg": "userfemale",
"CurrentSalary": 38370,
"Address": "59 rue de lAbbaye",
"Mail": "leverling102@sample.com"
},
{
"EmployeeID": 10029,
"Employees": "Rose Jack",
"Designation": "Developer",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 46,
"EmployeeImg": "userfemale",
"CurrentSalary": 84790,
"Address": "Rua do Mercado, 12",
"Mail": "rose108@jourrapide.com"
},
{
"EmployeeID": 10030,
"Employees": "Vinet Van",
"Designation": "Developer",
"Location": "USA",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 40,
"EmployeeImg": "usermale",
"CurrentSalary": 71005,
"Address": "Gran Vía, 1",
"Mail": "vinet90@jourrapide.com"
}
];/**
* Default data source
*/
export let defaultData: Object[] = [
{ 'Item Name': 'Casual Shoes', Date: '02/14/2014', Time: '11:34:32 AM', Quantity: 10, Price: 20, Amount: 200, Discount: 1, Profit: 10 },
{ 'Item Name': 'Sports Shoes', Date: '06/11/2014', Time: '05:56:32 AM', Quantity: 20, Price: 30, Amount: 600, Discount: 5, Profit: 50 },
{ 'Item Name': 'Formal Shoes', Date: '07/27/2014', Time: '03:32:44 AM', Quantity: 20, Price: 15, Amount: 300, Discount: 7, Profit: 27 },
{ 'Item Name': 'Sandals & Floaters', Date: '11/21/2014', Time: '06:23:54 AM', Quantity: 15, Price: 20, Amount: 300, Discount: 11, Profit: 67 },
{ 'Item Name': 'Flip- Flops & Slippers', Date: '06/23/2014', Time: '12:43:59 AM', Quantity: 30, Price: 10, Amount: 300, Discount: 10, Profit: 70 },
{ 'Item Name': 'Sneakers', Date: '07/22/2014', Time: '10:55:53 AM', Quantity: 40, Price: 20, Amount: 800, Discount: 13, Profit: 66 },
{ 'Item Name': 'Running Shoes', Date: '02/04/2014', Time: '03:44:34 AM', Quantity: 20, Price: 10, Amount: 200, Discount: 3, Profit: 14 },
{ 'Item Name': 'Loafers', Date: '11/30/2014', Time: '03:12:52 AM', Quantity: 31, Price: 10, Amount: 310, Discount: 6, Profit: 29 },
{ 'Item Name': 'Cricket Shoes', Date: '07/09/2014', Time: '11:32:14 AM', Quantity: 41, Price: 30, Amount: 1210, Discount: 12, Profit: 166 },
{ 'Item Name': 'T-Shirts', Date: '10/31/2014', Time: '12:01:44 AM', Quantity: 50, Price: 10, Amount: 500, Discount: 9, Profit: 55 },
];
/**
* Grid datasource
*/
export function getTradeData(dataCount?: number): object {
let employees: string[] = [
'Michael', 'Kathryn', 'Tamer', 'Martin', 'Davolio', 'Nancy', 'Fuller', 'Leverling', 'Peacock',
'Margaret', 'Buchanan', 'Janet', 'Andrew', 'Callahan', 'Laura', 'Dodsworth', 'Anne',
'Bergs', 'Vinet', 'Anton', 'Fleet', 'Zachery', 'Van', 'King', 'Jack', 'Rose'];
let designation: string[] = ['Manager', 'CFO', 'Designer', 'Developer', 'Program Directory', 'System Analyst', 'Project Lead'];
let mail: string[] = ['sample.com', 'arpy.com', 'rpy.com', 'mail.com', 'jourrapide.com'];
let location: string[] = ['UK', 'USA', 'Sweden', 'France', 'Canada', 'Argentina', 'Austria', 'Germany', 'Mexico'];
let status: string[] = ['Active', 'Inactive'];
let trustworthiness: string[] = ['Perfect', 'Sufficient', 'Insufficient'];
let tradeData: Object[] = [];
let address: string[] = ['59 rue de lAbbaye', 'Luisenstr. 48', 'Rua do Paço, 67', '2, rue du Commerce', 'Boulevard Tirou, 255',
'Rua do mailPaço, 67', 'Hauptstr. 31', 'Starenweg 5', 'Rua do Mercado, 12',
'Carrera 22 con Ave. Carlos Soublette #8-35', 'Kirchgasse 6',
'Sierras de Granada 9993', 'Mehrheimerstr. 369', 'Rua da Panificadora, 12', '2817 Milton Dr.', 'Kirchgasse 6',
'Åkergatan 24', '24, place Kléber', 'Torikatu 38', 'Berliner Platz 43', '5ª Ave. Los Palos Grandes', '1029 - 12th Ave. S.',
'Torikatu 38', 'P.O. Box 555', '2817 Milton Dr.', 'Taucherstraße 10', '59 rue de lAbbaye', 'Via Ludovico il Moro 22',
'Avda. Azteca 123', 'Heerstr. 22', 'Berguvsvägen 8', 'Magazinweg 7', 'Berguvsvägen 8', 'Gran Vía, 1', 'Gran Vía, 1',
'Carrera 52 con Ave. Bolívar #65-98 Llano Largo', 'Magazinweg 7', 'Taucherstraße 10', 'Taucherstraße 10',
'Av. Copacabana, 267', 'Strada Provinciale 124', 'Fauntleroy Circus', 'Av. dos Lusíadas, 23',
'Rua da Panificadora, 12', 'Av. Inês de Castro, 414', 'Avda. Azteca 123', '2817 Milton Dr.'];
let employeeimg: string[] = ['usermale', 'userfemale'];
if (typeof dataCount === 'string') {
dataCount = parseInt(dataCount, 10);
}
for (let i: number = 1; i <= dataCount; i++) {
let code: any = 10000;
tradeData.push({
'EmployeeID': code + i,
'Employees':
employees[Math.floor(Math.random() * employees.length)] + ' ' + employees[Math.floor(Math.random() * employees.length)],
'Designation': designation[Math.floor(Math.random() * designation.length)],
'Location': location[Math.floor(Math.random() * location.length)],
'Status': status[Math.floor(Math.random() * status.length)],
'Trustworthiness': trustworthiness[Math.floor(Math.random() * trustworthiness.length)],
'Rating': Math.floor(Math.random() * 5),
'Software': Math.floor(Math.random() * 100),
'EmployeeImg': employeeimg[Math.floor(Math.random() * employeeimg.length)],
'CurrentSalary': Math.floor((Math.random() * 100000)),
'Address': address[Math.floor(Math.random() * address.length)],
});
let employee: string = 'Employees';
let emp: string = tradeData[i - 1][employee];
let sName: string = emp.substr(0, emp.indexOf(' ')).toLowerCase();
let empmail: string = 'Mail';
tradeData[i - 1][empmail] = sName + (Math.floor(Math.random() * 100) + 10) + '@' + mail[Math.floor(Math.random() * mail.length)];
}
return tradeData;
}
export let tradeData: Object[] = [
{
"EmployeeID": 10001,
"Employees": "Laura Nancy",
"Designation": "Designer",
"Location": "France",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 69,
"EmployeeImg": "usermale",
"CurrentSalary": 84194,
"Address": "Taucherstraße 10",
"Mail": "laura15@jourrapide.com"
},
{
"EmployeeID": 10002,
"Employees": "Zachery Van",
"Designation": "CFO",
"Location": "Canada",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 99,
"EmployeeImg": "usermale",
"CurrentSalary": 55349,
"Address": "5ª Ave. Los Palos Grandes",
"Mail": "zachery109@sample.com"
},
{
"EmployeeID": 10003,
"Employees": "Rose Fuller",
"Designation": "CFO",
"Location": "France",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 1,
"EmployeeImg": "usermale",
"CurrentSalary": 16477,
"Address": "2817 Milton Dr.",
"Mail": "rose55@rpy.com"
},
{
"EmployeeID": 10004,
"Employees": "Jack Bergs",
"Designation": "Manager",
"Location": "Mexico",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 36,
"EmployeeImg": "usermale",
"CurrentSalary": 49040,
"Address": "2, rue du Commerce",
"Mail": "jack30@sample.com"
},
{
"EmployeeID": 10005,
"Employees": "Vinet Bergs",
"Designation": "Program Directory",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 39,
"EmployeeImg": "usermale",
"CurrentSalary": 5495,
"Address": "Rua da Panificadora, 12",
"Mail": "vinet32@jourrapide.com"
},
{
"EmployeeID": 10006,
"Employees": "Buchanan Van",
"Designation": "Designer",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 4,
"Software": 78,
"EmployeeImg": "usermale",
"CurrentSalary": 42182,
"Address": "24, place Kléber",
"Mail": "buchanan18@mail.com"
},
{
"EmployeeID": 10007,
"Employees": "Dodsworth Nancy",
"Designation": "Project Lead",
"Location": "USA",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 0,
"EmployeeImg": "userfemale",
"CurrentSalary": 35776,
"Address": "Rua do Paço, 67",
"Mail": "dodsworth84@mail.com"
},
{
"EmployeeID": 10008,
"Employees": "Laura Jack",
"Designation": "Developer",
"Location": "Austria",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 89,
"EmployeeImg": "usermale",
"CurrentSalary": 25108,
"Address": "Rua da Panificadora, 12",
"Mail": "laura82@mail.com"
},
{
"EmployeeID": 10009,
"Employees": "Anne Fuller",
"Designation": "Program Directory",
"Location": "Mexico",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 0,
"Software": 19,
"EmployeeImg": "userfemale",
"CurrentSalary": 32568,
"Address": "Gran Vía, 1",
"Mail": "anne97@jourrapide.com"
},
{
"EmployeeID": 10010,
"Employees": "Buchanan Andrew",
"Designation": "Designer",
"Location": "Austria",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 62,
"EmployeeImg": "userfemale",
"CurrentSalary": 12320,
"Address": "P.O. Box 555",
"Mail": "buchanan50@jourrapide.com"
},
{
"EmployeeID": 10011,
"Employees": "Andrew Janet",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 8,
"EmployeeImg": "userfemale",
"CurrentSalary": 20890,
"Address": "Starenweg 5",
"Mail": "andrew63@mail.com"
},
{
"EmployeeID": 10012,
"Employees": "Margaret Tamer",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 4,
"Software": 7,
"EmployeeImg": "userfemale",
"CurrentSalary": 22337,
"Address": "Magazinweg 7",
"Mail": "margaret26@mail.com"
},
{
"EmployeeID": 10013,
"Employees": "Tamer Fuller",
"Designation": "CFO",
"Location": "Canada",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 78,
"EmployeeImg": "usermale",
"CurrentSalary": 89181,
"Address": "Taucherstraße 10",
"Mail": "tamer40@arpy.com"
},
{
"EmployeeID": 10014,
"Employees": "Tamer Anne",
"Designation": "CFO",
"Location": "Sweden",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 18,
"EmployeeImg": "usermale",
"CurrentSalary": 20998,
"Address": "Taucherstraße 10",
"Mail": "tamer68@arpy.com"
},
{
"EmployeeID": 10015,
"Employees": "Anton Davolio",
"Designation": "Project Lead",
"Location": "France",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 4,
"Software": 8,
"EmployeeImg": "userfemale",
"CurrentSalary": 48232,
"Address": "Luisenstr. 48",
"Mail": "anton46@mail.com"
},
{
"EmployeeID": 10016,
"Employees": "Buchanan Buchanan",
"Designation": "System Analyst",
"Location": "Austria",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 19,
"EmployeeImg": "usermale",
"CurrentSalary": 43041,
"Address": "Carrera 52 con Ave. Bolívar #65-98 Llano Largo",
"Mail": "buchanan68@mail.com"
},
{
"EmployeeID": 10017,
"Employees": "King Buchanan",
"Designation": "Program Directory",
"Location": "Sweden",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 44,
"EmployeeImg": "userfemale",
"CurrentSalary": 25259,
"Address": "Magazinweg 7",
"Mail": "king80@jourrapide.com"
},
{
"EmployeeID": 10018,
"Employees": "Rose Michael",
"Designation": "Project Lead",
"Location": "Canada",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 4,
"Software": 31,
"EmployeeImg": "userfemale",
"CurrentSalary": 91156,
"Address": "Fauntleroy Circus",
"Mail": "rose75@mail.com"
},
{
"EmployeeID": 10019,
"Employees": "King Bergs",
"Designation": "Developer",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 2,
"Software": 29,
"EmployeeImg": "userfemale",
"CurrentSalary": 28826,
"Address": "2817 Milton Dr.",
"Mail": "king57@jourrapide.com"
},
{
"EmployeeID": 10020,
"Employees": "Davolio Fuller",
"Designation": "Designer",
"Location": "Canada",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 3,
"Software": 35,
"EmployeeImg": "userfemale",
"CurrentSalary": 71035,
"Address": "Gran Vía, 1",
"Mail": "davolio29@arpy.com"
},
{
"EmployeeID": 10021,
"Employees": "Rose Rose",
"Designation": "CFO",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 38,
"EmployeeImg": "usermale",
"CurrentSalary": 68123,
"Address": "Rua do Mercado, 12",
"Mail": "rose54@arpy.com"
},
{
"EmployeeID": 10022,
"Employees": "Andrew Michael",
"Designation": "Program Directory",
"Location": "UK",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 2,
"Software": 61,
"EmployeeImg": "userfemale",
"CurrentSalary": 75470,
"Address": "2, rue du Commerce",
"Mail": "andrew88@jourrapide.com"
},
{
"EmployeeID": 10023,
"Employees": "Davolio Kathryn",
"Designation": "Manager",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 25,
"EmployeeImg": "usermale",
"CurrentSalary": 25234,
"Address": "Hauptstr. 31",
"Mail": "davolio42@sample.com"
},
{
"EmployeeID": 10024,
"Employees": "Anne Fleet",
"Designation": "System Analyst",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 0,
"EmployeeImg": "userfemale",
"CurrentSalary": 8341,
"Address": "59 rue de lAbbaye",
"Mail": "anne86@arpy.com"
},
{
"EmployeeID": 10025,
"Employees": "Margaret Andrew",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 51,
"EmployeeImg": "userfemale",
"CurrentSalary": 84975,
"Address": "P.O. Box 555",
"Mail": "margaret41@arpy.com"
},
{
"EmployeeID": 10026,
"Employees": "Kathryn Laura",
"Designation": "Project Lead",
"Location": "Austria",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 48,
"EmployeeImg": "usermale",
"CurrentSalary": 97282,
"Address": "Avda. Azteca 123",
"Mail": "kathryn82@rpy.com"
},
{
"EmployeeID": 10027,
"Employees": "Michael Michael",
"Designation": "Developer",
"Location": "UK",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 4,
"Software": 16,
"EmployeeImg": "usermale",
"CurrentSalary": 4184,
"Address": "Rua do Paço, 67",
"Mail": "michael58@jourrapide.com"
},
{
"EmployeeID": 10028,
"Employees": "Leverling Vinet",
"Designation": "Project Lead",
"Location": "Germany",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 57,
"EmployeeImg": "userfemale",
"CurrentSalary": 38370,
"Address": "59 rue de lAbbaye",
"Mail": "leverling102@sample.com"
},
{
"EmployeeID": 10029,
"Employees": "Rose Jack",
"Designation": "Developer",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 46,
"EmployeeImg": "userfemale",
"CurrentSalary": 84790,
"Address": "Rua do Mercado, 12",
"Mail": "rose108@jourrapide.com"
},
{
"EmployeeID": 10030,
"Employees": "Vinet Van",
"Designation": "Developer",
"Location": "USA",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 40,
"EmployeeImg": "usermale",
"CurrentSalary": 71005,
"Address": "Gran Vía, 1",
"Mail": "vinet90@jourrapide.com"
}
]Please find the below table for the beforeSave event arguments.
| Parameter | Type | Description |
|---|---|---|
| url | string | Specifies the save url. |
| fileName | string | Specifies the file name. |
| saveType | SaveType | Specifies the saveType like Xlsx, Xls, Csv and Pdf. |
| customParams | object | Passing the custom parameters from client to server while performing save operation. |
| isFullPost | boolean | It sends the form data from client to server, when set to true. It fetches the data from client to server and returns the data from server to client, when set to false. |
| needBlobData | boolean | You can get the blob data if set to true. |
| cancel | boolean | To prevent the save operations. |
Save an excel file as blob data
By default, the Spreadsheet component saves the Excel file and downloads it to the local file system. If you want to save an Excel file as blob data, you need to set needBlobData property to true and isFullPost property to false in the beforeSave event of the spreadsheet. Subsequently, you will receive the spreadsheet data as a blob in the saveComplete event. You can then post the blob data to the server endpoint for saving.
Please find below the code to retrieve blob data from the Spreadsheet component below.
import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent, SheetsDirective, SheetDirective, RangesDirective, RangeDirective, ColumnsDirective, ColumnDirective } from '@syncfusion/ej2-react-spreadsheet';
import { data } from './datasource';
function App() {
const spreadsheetRef = React.useRef(null);
const beforeSave = (args) => {
args.needBlobData = true; // To trigger the saveComplete event.
args.isFullPost = false; // Get the spreadsheet data as blob data in the saveComplete event.
}
const saveComplete = (args) => {
// To obtain the blob data.
console.log("Spreadsheet BlobData :", args.blobData)
}
return (
<div className='control-section spreadsheet-control'>
<SpreadsheetComponent openUrl='https://services.syncfusion.com/react/production/api/spreadsheet/open' saveUrl='https://services.syncfusion.com/react/production/api/spreadsheet/save' ref={spreadsheetRef} beforeSave={beforeSave} saveComplete={saveComplete} >
<SheetsDirective>
<SheetDirective name="Car Sales Report">
<RangesDirective>
<RangeDirective dataSource={data}></RangeDirective>
</RangesDirective>
<ColumnsDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={120}></ColumnDirective>
</ColumnsDirective>
</SheetDirective>
</SheetsDirective>
</SpreadsheetComponent>
</div>
);
}
export default App;
const root = createRoot(document.getElementById('root'));
root.render(<App />);import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent, SheetsDirective, SheetDirective, RangesDirective, RangeDirective, ColumnsDirective, ColumnDirective, SaveCompleteEventArgs, BeforeSaveEventArgs } from '@syncfusion/ej2-react-spreadsheet';
import { data } from './datasource';
function App() {
const spreadsheetRef = React.useRef<SpreadsheetComponent>(null);
const beforeSave = (args: BeforeSaveEventArgs): void => {
args.needBlobData = true; // To trigger the saveComplete event.
args.isFullPost = false; // Get the spreadsheet data as blob data in the saveComplete event.
}
const saveComplete = (args: SaveCompleteEventArgs): void => {
// To obtain the blob data.
console.log("Spreadsheet BlobData :", args.blobData)
}
return (
<div className='control-section spreadsheet-control'>
<SpreadsheetComponent openUrl='https://services.syncfusion.com/react/production/api/spreadsheet/open' saveUrl='https://services.syncfusion.com/react/production/api/spreadsheet/save' ref={spreadsheetRef} beforeSave={beforeSave} saveComplete={saveComplete} >
<SheetsDirective>
<SheetDirective name="Car Sales Report">
<RangesDirective>
<RangeDirective dataSource={data}></RangeDirective>
</RangesDirective>
<ColumnsDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={120}></ColumnDirective>
</ColumnsDirective>
</SheetDirective>
</SheetsDirective>
</SpreadsheetComponent>
</div>
);
}
export default App;
const root = createRoot(document.getElementById('root')!);
root.render(<App />);Save an Excel file to a server
By default, the Spreadsheet component saves the Excel file and downloads it to the local file system. If you want to save an Excel file to a server location, you need to configure the server endpoint to convert the spreadsheet data into a file stream and save it to the server location. To do this, first, on the client side, you must convert the spreadsheet data into JSON format using the saveAsJson method and send it to the server endpoint. On the server endpoint, you should convert the received spreadsheet JSON data into a file stream using Syncfusion.EJ2.Spreadsheet.AspNet.Core, then convert the stream into an Excel file, and finally save it to the server location.
Client Side:
// Convert the spreadsheet workbook to JSON data.
spreadsheet.saveAsJson().then((json) => {
const formData = new FormData();
formData.append('FileName', "Sample");
formData.append('saveType', 'Xlsx');
// Passing the JSON data to perform the save operation.
formData.append('JSONData', JSON.stringify(json.jsonObject.Workbook));
formData.append('PdfLayoutSettings', JSON.stringify({ FitSheetOnOnePage: false }));
// Using fetch to invoke the save process.
fetch('https://localhost:/Home/Save', {
method: 'POST',
body: formData
}).then((response) => {
console.log(response);
});
});Server Endpoint:
public string Save(SaveSettings saveSettings)
{
ExcelEngine excelEngine = new ExcelEngine();
IApplication application = excelEngine.Excel;
try
{
// Save the workbook as stream.
Stream fileStream = Workbook.Save<Stream>(saveSettings);
// Using XLSIO, we are opening the file stream and saving the file in the server under "Files" folder.
// You can also save the stream file in your server location.
IWorkbook workbook = application.Workbooks.Open(fileStream);
string basePath = _env.ContentRootPath + "\\Files\\" + saveSettings.FileName + ".xlsx";
var file = System.IO.File.Create(basePath);
fileStream.Seek(0, SeekOrigin.Begin);
// To convert the stream to file options.
fileStream.CopyTo(file);
file.Dispose();
fileStream.Dispose();
return string.Empty;
}
catch (Exception ex)
{
return ex.Message;
}
}You can find the server endpoint code to save the spreadsheet data as an Excel file in this attachment. After launching the server endpoint, you need to update the URL on the client side sample as shown below.
//To save an Excel file to the server.
fetch('https://localhost:{port number}/Home/Save')Save an excel file using a hosted web service in AWS Lambda
Before proceeding with the save process, you should deploy the spreadsheet open/save web API service in AWS Lambda. To host the open/save web service in the AWS Lambda environment, please refer to the following KB documentation.
How to deploy a spreadsheet open and save web API service to AWS Lambda
After deployment, you will get the AWS service URL for the open and save actions. Before saving the Excel file with this hosted save URL, you need to prevent the default save action to avoid getting a corrupted excel file on the client end. The save service returns the file stream as a result to the client, which can cause the file to become corrupted. To prevent this, set the args.cancel value to true in the beforeSave event. After that, convert the spreadsheet data into JSON format using the saveAsJson method in the beforeSave event and send it to the save service endpoint URL using a fetch request.
On the server side, the save service will take the received JSON data, pass it to the workbook Save method, and return the result as a base64 string. The fetch success callback will receive the Excel file in base64 string format on the client side. Finally, you can then convert the base64 string back to a file on the client end to obtain a non-corrupted Excel file.
The following code example shows how to save an Excel file using a hosted web service in AWS Lambda, as mentioned above.
function Default() {
let spreadsheet;
let saveInitiated;
const beforeSaveHandler = (eventArgs) => {
if (!saveInitiated) {
eventArgs.cancel = true; // Preventing default save action.
saveInitiated = true; // The "beforeSave" event will trigger for "saveAsJson" action also, so we are preventing for the "saveAsJson".
saveAsExcel(eventArgs);
}
};
const saveAsExcel = (eventArgs) => {
// Convert the spreadsheet workbook to JSON data.
spreadsheet.saveAsJson().then(Json => {
saveInitiated = false;
const formData = new FormData();
// Passing the JSON data to server to perform save operation.
formData.append('JSONData', JSON.stringify(Json.jsonObject.Workbook));
formData.append('saveType', 'Xlsx');
formData.append('fileName', 'Worksheet');
formData.append('pdfLayoutSettings', '{"fitSheetOnOnePage":false,"orientation":"Portrait"}');
// Using fetch API to invoke the server for save processing.
fetch('https://xxxxxxxxxxxxxxxxxxxxxxxxx.amazonaws.com/Prod/api/spreadsheet/save', {
method: 'POST', body: formData
}).then(response => {
if (response.ok) {
return response.blob();
}
}).then(data => {
const reader = new FileReader();
reader.onload = function () {
//Converts the result of the file reading operation into a base64 string.
const textBase64Str = reader.result.toString();
//Converts the base64 string into a Excel base64 string.
const excelBase64Str = atob(textBase64Str.replace('data:text/plain;base64,', ''));
//Converts the Excel base64 string into byte characters.
const byteCharacters = atob(excelBase64Str.replace('data:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet;base64,', ''));
const byteArrays = [];
for (let i = 0; i < byteCharacters.length; i++) {
byteArrays.push(byteCharacters.charCodeAt(i));
}
const byteArray = new Uint8Array(byteArrays);
//creates a blob data from the byte array with xlsx content type.
const blobData = new Blob([byteArray], { type: 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet' });
const blobUrl = URL.createObjectURL(blobData);
const anchor = document.createElement('a');
anchor.download = 'Sample.xlsx';
anchor.href = blobUrl;
document.body.appendChild(anchor);
anchor.click();
URL.revokeObjectURL(blobUrl);
document.body.removeChild(anchor);
}
reader.readAsDataURL(data);
});
});
};
return (<div className='control-pane'>
<div className='control-section spreadsheet-control'>
<SpreadsheetComponent saveUrl='https://xxxxxxxxxxxxxxxxxxxxxxxxx.amazonaws.com/Prod/api/spreadsheet/save' ref={(ssObj) => { spreadsheet = ssObj; }} beforeSave={beforeSaveHandler}>
</SpreadsheetComponent>
</div>
</div>);
}
export default Default;public string Save([FromForm]SaveSettings saveSettings)
{
// This will return the Excel in base64 string format.
return Workbook.Save<string>(saveSettings);
}Save data as a Base64 string
In the Spreadsheet component, there is currently no direct option to save data as a Base64 string. You can achieve this by saving the Spreadsheet data as blob data and then converting that saved blob data to a Base64 string using FileReader.
You can get the Spreadsheet data as blob in the saveComplete event when you set the
needBlobDataas true andisFullPostas false in the beforeSave event.
The following code example shows how to save the spreadsheet data as base64 string.
import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent, SheetsDirective, SheetDirective, RangesDirective, RangeDirective, ColumnsDirective, ColumnDirective } from '@syncfusion/ej2-react-spreadsheet';
import { data } from './datasource';
function App() {
const spreadsheetRef = React.useRef(null);
const [base64String, setBase64String] = React.useState('');
const beforeSave = (args) => {
args.needBlobData = true; // To trigger the saveComplete event.
args.isFullPost = false; // Get the spreadsheet data as blob data in the saveComplete event.
}
const saveComplete = (args) => {
// Convert blob data to base64 string.
let reader = new FileReader();
reader.readAsDataURL(args.blobData);
reader.onloadend = function () {
setBase64String(reader.result);
};
}
const importBtn = () => {
let spreadsheet = spreadsheetRef.current;
fetch(base64String)
.then((response) => response.blob())
.then((fileBlob) => {
let file = new File([fileBlob], 'Sample.xlsx');
spreadsheet.open({ file: file });
});
}
const exportBtn = () => {
let spreadsheet = spreadsheetRef.current;
spreadsheet.save({
url: 'https://services.syncfusion.com/react/production/api/spreadsheet/save',
fileName: 'Worksheet',
saveType: 'Xlsx',
}); // Specifies the save URL, file name, file type need to be saved.
// Logs base64 string into the console.
console.log('Base64 String - ', base64String);
}
return (
<div className='control-section spreadsheet-control'>
<button className="e-btn custom-btn" onClick={importBtn}>Import Base64</button>
<button className="e-btn custom-btn" onClick={exportBtn}>Export as Base64</button>
<SpreadsheetComponent openUrl='https://services.syncfusion.com/react/production/api/spreadsheet/open' ref={spreadsheetRef} beforeSave={beforeSave} saveComplete={saveComplete} >
<SheetsDirective>
<SheetDirective name="Car Sales Report">
<RangesDirective>
<RangeDirective dataSource={data}></RangeDirective>
</RangesDirective>
<ColumnsDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={120}></ColumnDirective>
</ColumnsDirective>
</SheetDirective>
</SheetsDirective>
</SpreadsheetComponent>
</div>
);
}
export default App;
const root = createRoot(document.getElementById('root'));
root.render(<App />);import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent, SheetsDirective, SheetDirective, RangesDirective, RangeDirective, ColumnsDirective, ColumnDirective, SaveCompleteEventArgs, BeforeSaveEventArgs } from '@syncfusion/ej2-react-spreadsheet';
import { data } from './datasource';
function App() {
const spreadsheetRef = React.useRef<SpreadsheetComponent>(null);
const [base64String, setBase64String] = React.useState<string>('')
const beforeSave = (args: BeforeSaveEventArgs): void => {
args.needBlobData = true; // To trigger the saveComplete event.
args.isFullPost = false; // Get the spreadsheet data as blob data in the saveComplete event.
}
const saveComplete = (args: SaveCompleteEventArgs): void => {
// Convert blob data to base64 string.
let reader: FileReader = new FileReader();
reader.readAsDataURL(args.blobData);
reader.onloadend = function () {
setBase64String(reader.result);
};
}
const importBtn = (): void => {
let spreadsheet: SpreadsheetComponent = spreadsheetRef.current;
fetch(base64String)
.then((response) => response.blob())
.then((fileBlob) => {
let file: File = new File([fileBlob], 'Sample.xlsx');
spreadsheet.open({ file: file });
});
}
const exportBtn = (): void => {
let spreadsheet: SpreadsheetComponent = spreadsheetRef.current;
spreadsheet.save({
url: 'https://services.syncfusion.com/react/production/api/spreadsheet/save',
fileName: 'Worksheet',
saveType: 'Xlsx',
}); // Specifies the save URL, file name, file type need to be saved.
// Logs base64 string into the console.
console.log('Base64 String - ', base64String);
}
return (
<div className='control-section spreadsheet-control'>
<button className="e-btn custom-btn" onClick={importBtn}>Import Base64</button>
<button className="e-btn custom-btn" onClick={exportBtn}>Export as Base64</button>
<SpreadsheetComponent openUrl='https://services.syncfusion.com/react/production/api/spreadsheet/open' ref={spreadsheetRef} beforeSave={beforeSave} saveComplete={saveComplete} >
<SheetsDirective>
<SheetDirective name="Car Sales Report">
<RangesDirective>
<RangeDirective dataSource={data}></RangeDirective>
</RangesDirective>
<ColumnsDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={120}></ColumnDirective>
</ColumnsDirective>
</SheetDirective>
</SheetsDirective>
</SpreadsheetComponent>
</div>
);
}
export default App;
const root = createRoot(document.getElementById('root')!);
root.render(<App />);Configure JSON serialization options
Previously, when saving the Spreadsheet as a workbook JSON object using the saveAsJson method, the entire workbook with all loaded features were processed and saved as a JSON object.
Now, you have the option to selectively ignore some features while saving the Spreadsheet as a JSON object by configuring serialization options and passing them as arguments to the saveAsJson method. This argument is optional, and if not configured, the entire workbook JSON object will be saved without ignoring any features.
spreadsheet.saveAsJson({ onlyValues: true });| Options | Description |
|---|---|
| onlyValues | If true, includes only the cell values in the JSON output. |
| ignoreStyle | If true, excludes styles from the JSON output. |
| ignoreFormula | If true, excludes formulas from the JSON output. |
| ignoreFormat | If true, excludes number formats from the JSON output. |
| ignoreConditionalFormat | If true, excludes conditional formatting from the JSON output. |
| ignoreValidation | If true, excludes data validation rules from the JSON output. |
| ignoreFreezePane | If true, excludes freeze panes from the JSON output. |
| ignoreWrap | If true, excludes text wrapping settings from the JSON output. |
| ignoreChart | If true, excludes charts from the JSON output. |
| ignoreImage | If true, excludes images from the JSON output. |
| ignoreNote | If true, excludes notes from the JSON output. |
The following code snippet demonstrates how to configure the serialization options and pass them as arguments to the saveAsJson method:
import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent } from '@syncfusion/ej2-react-spreadsheet';
import { createElement } from '@syncfusion/ej2-base';
function App() {
const spreadsheetRef = React.useRef(null);
const createOptions = () => {
let options = {};
options.ignoreStyle = document.getElementById('style').checked;
options.ignoreFormula = document.getElementById('formula').checked;
options.ignoreFormat = document.getElementById('format').checked;
options.ignoreConditionalFormat = document.getElementById('cf').checked;
options.ignoreValidation = document.getElementById('dv').checked;
options.ignoreFreezePane = document.getElementById('freeze').checked;
options.ignoreWrap = document.getElementById('wrap').checked;
options.ignoreChart = document.getElementById('chart').checked;
options.ignoreImage = document.getElementById('image').checked;
options.ignoreNote = document.getElementById('note').checked;
return options;
}
const toggleCheckboxes = () => {
let valueOnlyCheckbox = document.getElementById('valueOnly');
let checkboxes = document.querySelectorAll('#Saveasjson input[type="checkbox"]:not(#valueOnly)');
checkboxes.forEach(checkbox => {
checkbox.disabled = valueOnlyCheckbox.checked;
if (valueOnlyCheckbox.checked) {
checkbox.checked = false;
}
});
}
const saveFile = () => {
let valueOnlyCheckbox = document.getElementById("valueOnly").checked;
let options = valueOnlyCheckbox ? { onlyValues: true } : createOptions();
spreadsheetRef.current.saveAsJson(options).then((response) => {
var formData = new FormData();
formData.append(
'JSONData',
JSON.stringify(response.jsonObject.Workbook)
);
formData.append('fileName', 'Sample');
formData.append('saveType', 'Xlsx');
formData.append('pdfLayoutSettings', JSON.stringify({ fitSheetOnOnePage: false, orientation: 'Portrait' })),
fetch(
'https://services.syncfusion.com/react/production/api/spreadsheet/save',
{
method: 'POST',
body: formData,
}
).then((response) => {
response.blob().then((data) => {
let anchor = createElement('a', {
attrs: { download: 'Sample.xlsx' },
});
let url = URL.createObjectURL(data);
anchor.href = url;
document.body.appendChild(anchor);
anchor.click();
URL.revokeObjectURL(url);
document.body.removeChild(anchor);
});
});
});
}
return (<div className='control-pane'>
<div className='control-section spreadsheet-control'>
<div id="Saveasjson">
<label id="Heading">Save As Json Options:</label> <br/>
<input type="checkbox" id="valueOnly" onChange={toggleCheckboxes}/><label htmlFor="valueOnly">Only Values</label>
<input type="checkbox" id="style"/><label htmlFor="style">Ignore Style</label>
<input type="checkbox" id="formula"/><label htmlFor="formula">Ignore Formula</label>
<input type="checkbox" id="format"/><label htmlFor="format">Ignore Format</label>
<input type="checkbox" id="cf"/><label htmlFor="cf">Ignore CF</label>
<input type="checkbox" id="dv"/><label htmlFor="dv">Ignore Validation</label>
<input type="checkbox" id="freeze"/><label htmlFor="freeze">Ignore Freezepane</label>
<input type="checkbox" id="wrap"/><label htmlFor="wrap">Ignore Wrap</label>
<input type="checkbox" id="chart"/><label htmlFor="chart">Ignore Chart</label>
<input type="checkbox" id="image"/><label htmlFor="image">Ignore Image</label>
<input type="checkbox" id="note"/><label htmlFor="note">Ignore Note</label>
<button id="save" className="e-btn" onClick={saveFile}>Save with JSON Serialization</button>
</div>
<SpreadsheetComponent ref={spreadsheetRef} openUrl='https://services.syncfusion.com/react/production/api/spreadsheet/open' allowOpen={true} >
</SpreadsheetComponent>
</div>
</div>);
}
export default App;
const root = createRoot(document.getElementById('root'));
root.render(<App />);import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent, SerializationOptions } from '@syncfusion/ej2-react-spreadsheet';
import { createElement } from '@syncfusion/ej2-base';
function App() {
const spreadsheetRef = React.useRef<SpreadsheetComponent>(null);
const createOptions = () => {
const options: SerializationOptions = {};
options.ignoreStyle = (document.getElementById('style') as HTMLInputElement).checked;
options.ignoreFormula = (document.getElementById('formula') as HTMLInputElement).checked;
options.ignoreFormat = (document.getElementById('format') as HTMLInputElement).checked;
options.ignoreConditionalFormat = (document.getElementById('cf') as HTMLInputElement).checked;
options.ignoreValidation = (document.getElementById('dv') as HTMLInputElement).checked;
options.ignoreFreezePane = (document.getElementById('freeze') as HTMLInputElement).checked;
options.ignoreWrap = (document.getElementById('wrap') as HTMLInputElement).checked;
options.ignoreChart = (document.getElementById('chart') as HTMLInputElement).checked;
options.ignoreImage = (document.getElementById('image') as HTMLInputElement).checked;
options.ignoreNote = (document.getElementById('note') as HTMLInputElement).checked;
return options;
}
const toggleCheckboxes = () => {
let valueOnlyCheckbox: HTMLInputElement = document.getElementById('valueOnly') as HTMLInputElement;
let checkboxes: NodeListOf<Element> = document.querySelectorAll('#Saveasjson input[type="checkbox"]:not(#valueOnly)');
checkboxes.forEach(checkbox => {
(checkbox as HTMLInputElement).disabled = valueOnlyCheckbox.checked;
if (valueOnlyCheckbox.checked) {
(checkbox as HTMLInputElement).checked = false;
}
});
}
const saveFile = () => {
let valueOnlyCheckbox: boolean = (document.getElementById("valueOnly") as HTMLInputElement).checked;
let options: SerializationOptions = valueOnlyCheckbox ? { onlyValues: true } : createOptions();
spreadsheetRef.current.saveAsJson(options).then((response) => {
var formData = new FormData();
formData.append(
'JSONData',
JSON.stringify(response.jsonObject.Workbook)
);
formData.append('fileName', 'Sample');
formData.append('saveType', 'Xlsx');
formData.append('pdfLayoutSettings', JSON.stringify({ fitSheetOnOnePage: false, orientation: 'Portrait' })),
fetch(
'https://services.syncfusion.com/react/production/api/spreadsheet/save',
{
method: 'POST',
body: formData,
}
).then((response) => {
response.blob().then((data) => {
let anchor = createElement('a', {
attrs: { download: 'Sample.xlsx' },
});
let url = URL.createObjectURL(data);
anchor.href = url;
document.body.appendChild(anchor);
anchor.click();
URL.revokeObjectURL(url);
document.body.removeChild(anchor);
});
});
});
}
return (<div className='control-pane'>
<div className='control-section spreadsheet-control'>
<div id="Saveasjson">
<label id="Heading">Save As Json Options:</label> <br/>
<input type="checkbox" id="valueOnly" onChange={toggleCheckboxes}/><label htmlFor="valueOnly">Only Values</label>
<input type="checkbox" id="style"/><label htmlFor="style">Ignore Style</label>
<input type="checkbox" id="formula"/><label htmlFor="formula">Ignore Formula</label>
<input type="checkbox" id="format"/><label htmlFor="format">Ignore Format</label>
<input type="checkbox" id="cf"/><label htmlFor="cf">Ignore CF</label>
<input type="checkbox" id="dv"/><label htmlFor="dv">Ignore Validation</label>
<input type="checkbox" id="freeze"/><label htmlFor="freeze">Ignore Freezepane</label>
<input type="checkbox" id="wrap"/><label htmlFor="wrap">Ignore Wrap</label>
<input type="checkbox" id="chart"/><label htmlFor="chart">Ignore Chart</label>
<input type="checkbox" id="image"/><label htmlFor="image">Ignore Image</label>
<input type="checkbox" id="note"/><label htmlFor="note">Ignore Note</label>
<button id="save" className="e-btn" onClick={saveFile}>Save with JSON Serialization</button>
</div>
<SpreadsheetComponent ref={spreadsheetRef} openUrl='https://services.syncfusion.com/react/production/api/spreadsheet/open' allowOpen={true} >
</SpreadsheetComponent>
</div>
</div>);
}
export default App;
const root = createRoot(document.getElementById('root')!);
root.render(<App />);Send and receive custom params from client to server
Passing the custom parameters from client to server by using beforeSave event.
import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent, SheetsDirective, SheetDirective, RangesDirective } from '@syncfusion/ej2-react-spreadsheet';
import { RangeDirective, ColumnsDirective, ColumnDirective } from '@syncfusion/ej2-react-spreadsheet';
import { defaultData } from './datasource';
function App() {
const [customParams, setCustomParams] = React.useState({});
const beforeSave = (args) => {
setCustomParams({ customParams: 'you can pass custom params in server side' });
args.customParams = customParams; // you can pass the custom params
};
return (
<SpreadsheetComponent allowSave={true} saveUrl='https://services.syncfusion.com/react/production/api/spreadsheet/save' beforeSave={beforeSave}>
<SheetsDirective>
<SheetDirective>
<RangesDirective>
<RangeDirective dataSource={defaultData}></RangeDirective>
</RangesDirective>
<ColumnsDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
</ColumnsDirective>
</SheetDirective>
</SheetsDirective>
</SpreadsheetComponent>
);
};
export default App;
const root = createRoot(document.getElementById('root'));
root.render(<App />);import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent, SheetsDirective, SheetDirective, RangesDirective, BeforeSaveEventArgs } from '@syncfusion/ej2-react-spreadsheet';
import { RangeDirective, ColumnsDirective, ColumnDirective } from '@syncfusion/ej2-react-spreadsheet';
import { defaultData } from './datasource';
function App() {
const [customParams, setCustomParams] = React.useState({});
const beforeSave = (args: BeforeSaveEventArgs): void => {
setCustomParams({ customParams: 'you can pass custom params in server side' });
args.customParams = customParams; // you can pass the custom params
};
return (
<SpreadsheetComponent allowSave={true} saveUrl='https://services.syncfusion.com/react/production/api/spreadsheet/save' beforeSave={beforeSave}>
<SheetsDirective>
<SheetDirective>
<RangesDirective>
<RangeDirective dataSource={defaultData}></RangeDirective>
</RangesDirective>
<ColumnsDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
</ColumnsDirective>
</SheetDirective>
</SheetsDirective>
</SpreadsheetComponent>
);
};
export default App;
const root = createRoot(document.getElementById('root')!);
root.render(<App />);/**
* Default data source
*/
export let defaultData = [
{ 'Item Name': 'Casual Shoes', Date: '02/14/2014', Time: '11:34:32 AM', Quantity: 10, Price: 20, Amount: 200, Discount: 1, Profit: 10 },
{ 'Item Name': 'Sports Shoes', Date: '06/11/2014', Time: '05:56:32 AM', Quantity: 20, Price: 30, Amount: 600, Discount: 5, Profit: 50 },
{ 'Item Name': 'Formal Shoes', Date: '07/27/2014', Time: '03:32:44 AM', Quantity: 20, Price: 15, Amount: 300, Discount: 7, Profit: 27 },
{ 'Item Name': 'Sandals & Floaters', Date: '11/21/2014', Time: '06:23:54 AM', Quantity: 15, Price: 20, Amount: 300, Discount: 11, Profit: 67 },
{ 'Item Name': 'Flip- Flops & Slippers', Date: '06/23/2014', Time: '12:43:59 AM', Quantity: 30, Price: 10, Amount: 300, Discount: 10, Profit: 70 },
{ 'Item Name': 'Sneakers', Date: '07/22/2014', Time: '10:55:53 AM', Quantity: 40, Price: 20, Amount: 800, Discount: 13, Profit: 66 },
{ 'Item Name': 'Running Shoes', Date: '02/04/2014', Time: '03:44:34 AM', Quantity: 20, Price: 10, Amount: 200, Discount: 3, Profit: 14 },
{ 'Item Name': 'Loafers', Date: '11/30/2014', Time: '03:12:52 AM', Quantity: 31, Price: 10, Amount: 310, Discount: 6, Profit: 29 },
{ 'Item Name': 'Cricket Shoes', Date: '07/09/2014', Time: '11:32:14 AM', Quantity: 41, Price: 30, Amount: 1210, Discount: 12, Profit: 166 },
{ 'Item Name': 'T-Shirts', Date: '10/31/2014', Time: '12:01:44 AM', Quantity: 50, Price: 10, Amount: 500, Discount: 9, Profit: 55 },
];
/**
* Grid datasource
*/
export function getTradeData(dataCount) {
let employees = [
'Michael', 'Kathryn', 'Tamer', 'Martin', 'Davolio', 'Nancy', 'Fuller', 'Leverling', 'Peacock',
'Margaret', 'Buchanan', 'Janet', 'Andrew', 'Callahan', 'Laura', 'Dodsworth', 'Anne',
'Bergs', 'Vinet', 'Anton', 'Fleet', 'Zachery', 'Van', 'King', 'Jack', 'Rose'
];
let designation = ['Manager', 'CFO', 'Designer', 'Developer', 'Program Directory', 'System Analyst', 'Project Lead'];
let mail = ['sample.com', 'arpy.com', 'rpy.com', 'mail.com', 'jourrapide.com'];
let location = ['UK', 'USA', 'Sweden', 'France', 'Canada', 'Argentina', 'Austria', 'Germany', 'Mexico'];
let status = ['Active', 'Inactive'];
let trustworthiness = ['Perfect', 'Sufficient', 'Insufficient'];
let tradeData = [];
let address = ['59 rue de lAbbaye', 'Luisenstr. 48', 'Rua do Paço, 67', '2, rue du Commerce', 'Boulevard Tirou, 255',
'Rua do mailPaço, 67', 'Hauptstr. 31', 'Starenweg 5', 'Rua do Mercado, 12',
'Carrera 22 con Ave. Carlos Soublette #8-35', 'Kirchgasse 6',
'Sierras de Granada 9993', 'Mehrheimerstr. 369', 'Rua da Panificadora, 12', '2817 Milton Dr.', 'Kirchgasse 6',
'Åkergatan 24', '24, place Kléber', 'Torikatu 38', 'Berliner Platz 43', '5ª Ave. Los Palos Grandes', '1029 - 12th Ave. S.',
'Torikatu 38', 'P.O. Box 555', '2817 Milton Dr.', 'Taucherstraße 10', '59 rue de lAbbaye', 'Via Ludovico il Moro 22',
'Avda. Azteca 123', 'Heerstr. 22', 'Berguvsvägen 8', 'Magazinweg 7', 'Berguvsvägen 8', 'Gran Vía, 1', 'Gran Vía, 1',
'Carrera 52 con Ave. Bolívar #65-98 Llano Largo', 'Magazinweg 7', 'Taucherstraße 10', 'Taucherstraße 10',
'Av. Copacabana, 267', 'Strada Provinciale 124', 'Fauntleroy Circus', 'Av. dos Lusíadas, 23',
'Rua da Panificadora, 12', 'Av. Inês de Castro, 414', 'Avda. Azteca 123', '2817 Milton Dr.'];
let employeeimg = ['usermale', 'userfemale'];
if (typeof dataCount === 'string') {
dataCount = parseInt(dataCount, 10);
}
for (let i = 1; i <= dataCount; i++) {
let code = 10000;
tradeData.push({
'EmployeeID': code + i,
'Employees': employees[Math.floor(Math.random() * employees.length)] + ' ' + employees[Math.floor(Math.random() * employees.length)],
'Designation': designation[Math.floor(Math.random() * designation.length)],
'Location': location[Math.floor(Math.random() * location.length)],
'Status': status[Math.floor(Math.random() * status.length)],
'Trustworthiness': trustworthiness[Math.floor(Math.random() * trustworthiness.length)],
'Rating': Math.floor(Math.random() * 5),
'Software': Math.floor(Math.random() * 100),
'EmployeeImg': employeeimg[Math.floor(Math.random() * employeeimg.length)],
'CurrentSalary': Math.floor((Math.random() * 100000)),
'Address': address[Math.floor(Math.random() * address.length)],
});
let employee = 'Employees';
let emp = tradeData[i - 1][employee];
let sName = emp.substr(0, emp.indexOf(' ')).toLowerCase();
let empmail = 'Mail';
tradeData[i - 1][empmail] = sName + (Math.floor(Math.random() * 100) + 10) + '@' + mail[Math.floor(Math.random() * mail.length)];
}
return tradeData;
}
export let tradeData = [
{
"EmployeeID": 10001,
"Employees": "Laura Nancy",
"Designation": "Designer",
"Location": "France",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 69,
"EmployeeImg": "usermale",
"CurrentSalary": 84194,
"Address": "Taucherstraße 10",
"Mail": "laura15@jourrapide.com"
},
{
"EmployeeID": 10002,
"Employees": "Zachery Van",
"Designation": "CFO",
"Location": "Canada",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 99,
"EmployeeImg": "usermale",
"CurrentSalary": 55349,
"Address": "5ª Ave. Los Palos Grandes",
"Mail": "zachery109@sample.com"
},
{
"EmployeeID": 10003,
"Employees": "Rose Fuller",
"Designation": "CFO",
"Location": "France",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 1,
"EmployeeImg": "usermale",
"CurrentSalary": 16477,
"Address": "2817 Milton Dr.",
"Mail": "rose55@rpy.com"
},
{
"EmployeeID": 10004,
"Employees": "Jack Bergs",
"Designation": "Manager",
"Location": "Mexico",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 36,
"EmployeeImg": "usermale",
"CurrentSalary": 49040,
"Address": "2, rue du Commerce",
"Mail": "jack30@sample.com"
},
{
"EmployeeID": 10005,
"Employees": "Vinet Bergs",
"Designation": "Program Directory",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 39,
"EmployeeImg": "usermale",
"CurrentSalary": 5495,
"Address": "Rua da Panificadora, 12",
"Mail": "vinet32@jourrapide.com"
},
{
"EmployeeID": 10006,
"Employees": "Buchanan Van",
"Designation": "Designer",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 4,
"Software": 78,
"EmployeeImg": "usermale",
"CurrentSalary": 42182,
"Address": "24, place Kléber",
"Mail": "buchanan18@mail.com"
},
{
"EmployeeID": 10007,
"Employees": "Dodsworth Nancy",
"Designation": "Project Lead",
"Location": "USA",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 0,
"EmployeeImg": "userfemale",
"CurrentSalary": 35776,
"Address": "Rua do Paço, 67",
"Mail": "dodsworth84@mail.com"
},
{
"EmployeeID": 10008,
"Employees": "Laura Jack",
"Designation": "Developer",
"Location": "Austria",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 89,
"EmployeeImg": "usermale",
"CurrentSalary": 25108,
"Address": "Rua da Panificadora, 12",
"Mail": "laura82@mail.com"
},
{
"EmployeeID": 10009,
"Employees": "Anne Fuller",
"Designation": "Program Directory",
"Location": "Mexico",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 0,
"Software": 19,
"EmployeeImg": "userfemale",
"CurrentSalary": 32568,
"Address": "Gran Vía, 1",
"Mail": "anne97@jourrapide.com"
},
{
"EmployeeID": 10010,
"Employees": "Buchanan Andrew",
"Designation": "Designer",
"Location": "Austria",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 62,
"EmployeeImg": "userfemale",
"CurrentSalary": 12320,
"Address": "P.O. Box 555",
"Mail": "buchanan50@jourrapide.com"
},
{
"EmployeeID": 10011,
"Employees": "Andrew Janet",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 8,
"EmployeeImg": "userfemale",
"CurrentSalary": 20890,
"Address": "Starenweg 5",
"Mail": "andrew63@mail.com"
},
{
"EmployeeID": 10012,
"Employees": "Margaret Tamer",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 4,
"Software": 7,
"EmployeeImg": "userfemale",
"CurrentSalary": 22337,
"Address": "Magazinweg 7",
"Mail": "margaret26@mail.com"
},
{
"EmployeeID": 10013,
"Employees": "Tamer Fuller",
"Designation": "CFO",
"Location": "Canada",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 78,
"EmployeeImg": "usermale",
"CurrentSalary": 89181,
"Address": "Taucherstraße 10",
"Mail": "tamer40@arpy.com"
},
{
"EmployeeID": 10014,
"Employees": "Tamer Anne",
"Designation": "CFO",
"Location": "Sweden",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 18,
"EmployeeImg": "usermale",
"CurrentSalary": 20998,
"Address": "Taucherstraße 10",
"Mail": "tamer68@arpy.com"
},
{
"EmployeeID": 10015,
"Employees": "Anton Davolio",
"Designation": "Project Lead",
"Location": "France",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 4,
"Software": 8,
"EmployeeImg": "userfemale",
"CurrentSalary": 48232,
"Address": "Luisenstr. 48",
"Mail": "anton46@mail.com"
},
{
"EmployeeID": 10016,
"Employees": "Buchanan Buchanan",
"Designation": "System Analyst",
"Location": "Austria",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 19,
"EmployeeImg": "usermale",
"CurrentSalary": 43041,
"Address": "Carrera 52 con Ave. Bolívar #65-98 Llano Largo",
"Mail": "buchanan68@mail.com"
},
{
"EmployeeID": 10017,
"Employees": "King Buchanan",
"Designation": "Program Directory",
"Location": "Sweden",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 44,
"EmployeeImg": "userfemale",
"CurrentSalary": 25259,
"Address": "Magazinweg 7",
"Mail": "king80@jourrapide.com"
},
{
"EmployeeID": 10018,
"Employees": "Rose Michael",
"Designation": "Project Lead",
"Location": "Canada",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 4,
"Software": 31,
"EmployeeImg": "userfemale",
"CurrentSalary": 91156,
"Address": "Fauntleroy Circus",
"Mail": "rose75@mail.com"
},
{
"EmployeeID": 10019,
"Employees": "King Bergs",
"Designation": "Developer",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 2,
"Software": 29,
"EmployeeImg": "userfemale",
"CurrentSalary": 28826,
"Address": "2817 Milton Dr.",
"Mail": "king57@jourrapide.com"
},
{
"EmployeeID": 10020,
"Employees": "Davolio Fuller",
"Designation": "Designer",
"Location": "Canada",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 3,
"Software": 35,
"EmployeeImg": "userfemale",
"CurrentSalary": 71035,
"Address": "Gran Vía, 1",
"Mail": "davolio29@arpy.com"
},
{
"EmployeeID": 10021,
"Employees": "Rose Rose",
"Designation": "CFO",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 38,
"EmployeeImg": "usermale",
"CurrentSalary": 68123,
"Address": "Rua do Mercado, 12",
"Mail": "rose54@arpy.com"
},
{
"EmployeeID": 10022,
"Employees": "Andrew Michael",
"Designation": "Program Directory",
"Location": "UK",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 2,
"Software": 61,
"EmployeeImg": "userfemale",
"CurrentSalary": 75470,
"Address": "2, rue du Commerce",
"Mail": "andrew88@jourrapide.com"
},
{
"EmployeeID": 10023,
"Employees": "Davolio Kathryn",
"Designation": "Manager",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 25,
"EmployeeImg": "usermale",
"CurrentSalary": 25234,
"Address": "Hauptstr. 31",
"Mail": "davolio42@sample.com"
},
{
"EmployeeID": 10024,
"Employees": "Anne Fleet",
"Designation": "System Analyst",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 0,
"EmployeeImg": "userfemale",
"CurrentSalary": 8341,
"Address": "59 rue de lAbbaye",
"Mail": "anne86@arpy.com"
},
{
"EmployeeID": 10025,
"Employees": "Margaret Andrew",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 51,
"EmployeeImg": "userfemale",
"CurrentSalary": 84975,
"Address": "P.O. Box 555",
"Mail": "margaret41@arpy.com"
},
{
"EmployeeID": 10026,
"Employees": "Kathryn Laura",
"Designation": "Project Lead",
"Location": "Austria",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 48,
"EmployeeImg": "usermale",
"CurrentSalary": 97282,
"Address": "Avda. Azteca 123",
"Mail": "kathryn82@rpy.com"
},
{
"EmployeeID": 10027,
"Employees": "Michael Michael",
"Designation": "Developer",
"Location": "UK",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 4,
"Software": 16,
"EmployeeImg": "usermale",
"CurrentSalary": 4184,
"Address": "Rua do Paço, 67",
"Mail": "michael58@jourrapide.com"
},
{
"EmployeeID": 10028,
"Employees": "Leverling Vinet",
"Designation": "Project Lead",
"Location": "Germany",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 57,
"EmployeeImg": "userfemale",
"CurrentSalary": 38370,
"Address": "59 rue de lAbbaye",
"Mail": "leverling102@sample.com"
},
{
"EmployeeID": 10029,
"Employees": "Rose Jack",
"Designation": "Developer",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 46,
"EmployeeImg": "userfemale",
"CurrentSalary": 84790,
"Address": "Rua do Mercado, 12",
"Mail": "rose108@jourrapide.com"
},
{
"EmployeeID": 10030,
"Employees": "Vinet Van",
"Designation": "Developer",
"Location": "USA",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 40,
"EmployeeImg": "usermale",
"CurrentSalary": 71005,
"Address": "Gran Vía, 1",
"Mail": "vinet90@jourrapide.com"
}
];/**
* Default data source
*/
export let defaultData: Object[] = [
{ 'Item Name': 'Casual Shoes', Date: '02/14/2014', Time: '11:34:32 AM', Quantity: 10, Price: 20, Amount: 200, Discount: 1, Profit: 10 },
{ 'Item Name': 'Sports Shoes', Date: '06/11/2014', Time: '05:56:32 AM', Quantity: 20, Price: 30, Amount: 600, Discount: 5, Profit: 50 },
{ 'Item Name': 'Formal Shoes', Date: '07/27/2014', Time: '03:32:44 AM', Quantity: 20, Price: 15, Amount: 300, Discount: 7, Profit: 27 },
{ 'Item Name': 'Sandals & Floaters', Date: '11/21/2014', Time: '06:23:54 AM', Quantity: 15, Price: 20, Amount: 300, Discount: 11, Profit: 67 },
{ 'Item Name': 'Flip- Flops & Slippers', Date: '06/23/2014', Time: '12:43:59 AM', Quantity: 30, Price: 10, Amount: 300, Discount: 10, Profit: 70 },
{ 'Item Name': 'Sneakers', Date: '07/22/2014', Time: '10:55:53 AM', Quantity: 40, Price: 20, Amount: 800, Discount: 13, Profit: 66 },
{ 'Item Name': 'Running Shoes', Date: '02/04/2014', Time: '03:44:34 AM', Quantity: 20, Price: 10, Amount: 200, Discount: 3, Profit: 14 },
{ 'Item Name': 'Loafers', Date: '11/30/2014', Time: '03:12:52 AM', Quantity: 31, Price: 10, Amount: 310, Discount: 6, Profit: 29 },
{ 'Item Name': 'Cricket Shoes', Date: '07/09/2014', Time: '11:32:14 AM', Quantity: 41, Price: 30, Amount: 1210, Discount: 12, Profit: 166 },
{ 'Item Name': 'T-Shirts', Date: '10/31/2014', Time: '12:01:44 AM', Quantity: 50, Price: 10, Amount: 500, Discount: 9, Profit: 55 },
];
/**
* Grid datasource
*/
export function getTradeData(dataCount?: number): object {
let employees: string[] = [
'Michael', 'Kathryn', 'Tamer', 'Martin', 'Davolio', 'Nancy', 'Fuller', 'Leverling', 'Peacock',
'Margaret', 'Buchanan', 'Janet', 'Andrew', 'Callahan', 'Laura', 'Dodsworth', 'Anne',
'Bergs', 'Vinet', 'Anton', 'Fleet', 'Zachery', 'Van', 'King', 'Jack', 'Rose'];
let designation: string[] = ['Manager', 'CFO', 'Designer', 'Developer', 'Program Directory', 'System Analyst', 'Project Lead'];
let mail: string[] = ['sample.com', 'arpy.com', 'rpy.com', 'mail.com', 'jourrapide.com'];
let location: string[] = ['UK', 'USA', 'Sweden', 'France', 'Canada', 'Argentina', 'Austria', 'Germany', 'Mexico'];
let status: string[] = ['Active', 'Inactive'];
let trustworthiness: string[] = ['Perfect', 'Sufficient', 'Insufficient'];
let tradeData: Object[] = [];
let address: string[] = ['59 rue de lAbbaye', 'Luisenstr. 48', 'Rua do Paço, 67', '2, rue du Commerce', 'Boulevard Tirou, 255',
'Rua do mailPaço, 67', 'Hauptstr. 31', 'Starenweg 5', 'Rua do Mercado, 12',
'Carrera 22 con Ave. Carlos Soublette #8-35', 'Kirchgasse 6',
'Sierras de Granada 9993', 'Mehrheimerstr. 369', 'Rua da Panificadora, 12', '2817 Milton Dr.', 'Kirchgasse 6',
'Åkergatan 24', '24, place Kléber', 'Torikatu 38', 'Berliner Platz 43', '5ª Ave. Los Palos Grandes', '1029 - 12th Ave. S.',
'Torikatu 38', 'P.O. Box 555', '2817 Milton Dr.', 'Taucherstraße 10', '59 rue de lAbbaye', 'Via Ludovico il Moro 22',
'Avda. Azteca 123', 'Heerstr. 22', 'Berguvsvägen 8', 'Magazinweg 7', 'Berguvsvägen 8', 'Gran Vía, 1', 'Gran Vía, 1',
'Carrera 52 con Ave. Bolívar #65-98 Llano Largo', 'Magazinweg 7', 'Taucherstraße 10', 'Taucherstraße 10',
'Av. Copacabana, 267', 'Strada Provinciale 124', 'Fauntleroy Circus', 'Av. dos Lusíadas, 23',
'Rua da Panificadora, 12', 'Av. Inês de Castro, 414', 'Avda. Azteca 123', '2817 Milton Dr.'];
let employeeimg: string[] = ['usermale', 'userfemale'];
if (typeof dataCount === 'string') {
dataCount = parseInt(dataCount, 10);
}
for (let i: number = 1; i <= dataCount; i++) {
let code: any = 10000;
tradeData.push({
'EmployeeID': code + i,
'Employees':
employees[Math.floor(Math.random() * employees.length)] + ' ' + employees[Math.floor(Math.random() * employees.length)],
'Designation': designation[Math.floor(Math.random() * designation.length)],
'Location': location[Math.floor(Math.random() * location.length)],
'Status': status[Math.floor(Math.random() * status.length)],
'Trustworthiness': trustworthiness[Math.floor(Math.random() * trustworthiness.length)],
'Rating': Math.floor(Math.random() * 5),
'Software': Math.floor(Math.random() * 100),
'EmployeeImg': employeeimg[Math.floor(Math.random() * employeeimg.length)],
'CurrentSalary': Math.floor((Math.random() * 100000)),
'Address': address[Math.floor(Math.random() * address.length)],
});
let employee: string = 'Employees';
let emp: string = tradeData[i - 1][employee];
let sName: string = emp.substr(0, emp.indexOf(' ')).toLowerCase();
let empmail: string = 'Mail';
tradeData[i - 1][empmail] = sName + (Math.floor(Math.random() * 100) + 10) + '@' + mail[Math.floor(Math.random() * mail.length)];
}
return tradeData;
}
export let tradeData: Object[] = [
{
"EmployeeID": 10001,
"Employees": "Laura Nancy",
"Designation": "Designer",
"Location": "France",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 69,
"EmployeeImg": "usermale",
"CurrentSalary": 84194,
"Address": "Taucherstraße 10",
"Mail": "laura15@jourrapide.com"
},
{
"EmployeeID": 10002,
"Employees": "Zachery Van",
"Designation": "CFO",
"Location": "Canada",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 99,
"EmployeeImg": "usermale",
"CurrentSalary": 55349,
"Address": "5ª Ave. Los Palos Grandes",
"Mail": "zachery109@sample.com"
},
{
"EmployeeID": 10003,
"Employees": "Rose Fuller",
"Designation": "CFO",
"Location": "France",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 1,
"EmployeeImg": "usermale",
"CurrentSalary": 16477,
"Address": "2817 Milton Dr.",
"Mail": "rose55@rpy.com"
},
{
"EmployeeID": 10004,
"Employees": "Jack Bergs",
"Designation": "Manager",
"Location": "Mexico",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 36,
"EmployeeImg": "usermale",
"CurrentSalary": 49040,
"Address": "2, rue du Commerce",
"Mail": "jack30@sample.com"
},
{
"EmployeeID": 10005,
"Employees": "Vinet Bergs",
"Designation": "Program Directory",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 39,
"EmployeeImg": "usermale",
"CurrentSalary": 5495,
"Address": "Rua da Panificadora, 12",
"Mail": "vinet32@jourrapide.com"
},
{
"EmployeeID": 10006,
"Employees": "Buchanan Van",
"Designation": "Designer",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 4,
"Software": 78,
"EmployeeImg": "usermale",
"CurrentSalary": 42182,
"Address": "24, place Kléber",
"Mail": "buchanan18@mail.com"
},
{
"EmployeeID": 10007,
"Employees": "Dodsworth Nancy",
"Designation": "Project Lead",
"Location": "USA",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 0,
"EmployeeImg": "userfemale",
"CurrentSalary": 35776,
"Address": "Rua do Paço, 67",
"Mail": "dodsworth84@mail.com"
},
{
"EmployeeID": 10008,
"Employees": "Laura Jack",
"Designation": "Developer",
"Location": "Austria",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 89,
"EmployeeImg": "usermale",
"CurrentSalary": 25108,
"Address": "Rua da Panificadora, 12",
"Mail": "laura82@mail.com"
},
{
"EmployeeID": 10009,
"Employees": "Anne Fuller",
"Designation": "Program Directory",
"Location": "Mexico",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 0,
"Software": 19,
"EmployeeImg": "userfemale",
"CurrentSalary": 32568,
"Address": "Gran Vía, 1",
"Mail": "anne97@jourrapide.com"
},
{
"EmployeeID": 10010,
"Employees": "Buchanan Andrew",
"Designation": "Designer",
"Location": "Austria",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 62,
"EmployeeImg": "userfemale",
"CurrentSalary": 12320,
"Address": "P.O. Box 555",
"Mail": "buchanan50@jourrapide.com"
},
{
"EmployeeID": 10011,
"Employees": "Andrew Janet",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 8,
"EmployeeImg": "userfemale",
"CurrentSalary": 20890,
"Address": "Starenweg 5",
"Mail": "andrew63@mail.com"
},
{
"EmployeeID": 10012,
"Employees": "Margaret Tamer",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 4,
"Software": 7,
"EmployeeImg": "userfemale",
"CurrentSalary": 22337,
"Address": "Magazinweg 7",
"Mail": "margaret26@mail.com"
},
{
"EmployeeID": 10013,
"Employees": "Tamer Fuller",
"Designation": "CFO",
"Location": "Canada",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 78,
"EmployeeImg": "usermale",
"CurrentSalary": 89181,
"Address": "Taucherstraße 10",
"Mail": "tamer40@arpy.com"
},
{
"EmployeeID": 10014,
"Employees": "Tamer Anne",
"Designation": "CFO",
"Location": "Sweden",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 18,
"EmployeeImg": "usermale",
"CurrentSalary": 20998,
"Address": "Taucherstraße 10",
"Mail": "tamer68@arpy.com"
},
{
"EmployeeID": 10015,
"Employees": "Anton Davolio",
"Designation": "Project Lead",
"Location": "France",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 4,
"Software": 8,
"EmployeeImg": "userfemale",
"CurrentSalary": 48232,
"Address": "Luisenstr. 48",
"Mail": "anton46@mail.com"
},
{
"EmployeeID": 10016,
"Employees": "Buchanan Buchanan",
"Designation": "System Analyst",
"Location": "Austria",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 19,
"EmployeeImg": "usermale",
"CurrentSalary": 43041,
"Address": "Carrera 52 con Ave. Bolívar #65-98 Llano Largo",
"Mail": "buchanan68@mail.com"
},
{
"EmployeeID": 10017,
"Employees": "King Buchanan",
"Designation": "Program Directory",
"Location": "Sweden",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 44,
"EmployeeImg": "userfemale",
"CurrentSalary": 25259,
"Address": "Magazinweg 7",
"Mail": "king80@jourrapide.com"
},
{
"EmployeeID": 10018,
"Employees": "Rose Michael",
"Designation": "Project Lead",
"Location": "Canada",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 4,
"Software": 31,
"EmployeeImg": "userfemale",
"CurrentSalary": 91156,
"Address": "Fauntleroy Circus",
"Mail": "rose75@mail.com"
},
{
"EmployeeID": 10019,
"Employees": "King Bergs",
"Designation": "Developer",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 2,
"Software": 29,
"EmployeeImg": "userfemale",
"CurrentSalary": 28826,
"Address": "2817 Milton Dr.",
"Mail": "king57@jourrapide.com"
},
{
"EmployeeID": 10020,
"Employees": "Davolio Fuller",
"Designation": "Designer",
"Location": "Canada",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 3,
"Software": 35,
"EmployeeImg": "userfemale",
"CurrentSalary": 71035,
"Address": "Gran Vía, 1",
"Mail": "davolio29@arpy.com"
},
{
"EmployeeID": 10021,
"Employees": "Rose Rose",
"Designation": "CFO",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 38,
"EmployeeImg": "usermale",
"CurrentSalary": 68123,
"Address": "Rua do Mercado, 12",
"Mail": "rose54@arpy.com"
},
{
"EmployeeID": 10022,
"Employees": "Andrew Michael",
"Designation": "Program Directory",
"Location": "UK",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 2,
"Software": 61,
"EmployeeImg": "userfemale",
"CurrentSalary": 75470,
"Address": "2, rue du Commerce",
"Mail": "andrew88@jourrapide.com"
},
{
"EmployeeID": 10023,
"Employees": "Davolio Kathryn",
"Designation": "Manager",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 25,
"EmployeeImg": "usermale",
"CurrentSalary": 25234,
"Address": "Hauptstr. 31",
"Mail": "davolio42@sample.com"
},
{
"EmployeeID": 10024,
"Employees": "Anne Fleet",
"Designation": "System Analyst",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 0,
"EmployeeImg": "userfemale",
"CurrentSalary": 8341,
"Address": "59 rue de lAbbaye",
"Mail": "anne86@arpy.com"
},
{
"EmployeeID": 10025,
"Employees": "Margaret Andrew",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 51,
"EmployeeImg": "userfemale",
"CurrentSalary": 84975,
"Address": "P.O. Box 555",
"Mail": "margaret41@arpy.com"
},
{
"EmployeeID": 10026,
"Employees": "Kathryn Laura",
"Designation": "Project Lead",
"Location": "Austria",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 48,
"EmployeeImg": "usermale",
"CurrentSalary": 97282,
"Address": "Avda. Azteca 123",
"Mail": "kathryn82@rpy.com"
},
{
"EmployeeID": 10027,
"Employees": "Michael Michael",
"Designation": "Developer",
"Location": "UK",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 4,
"Software": 16,
"EmployeeImg": "usermale",
"CurrentSalary": 4184,
"Address": "Rua do Paço, 67",
"Mail": "michael58@jourrapide.com"
},
{
"EmployeeID": 10028,
"Employees": "Leverling Vinet",
"Designation": "Project Lead",
"Location": "Germany",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 57,
"EmployeeImg": "userfemale",
"CurrentSalary": 38370,
"Address": "59 rue de lAbbaye",
"Mail": "leverling102@sample.com"
},
{
"EmployeeID": 10029,
"Employees": "Rose Jack",
"Designation": "Developer",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 46,
"EmployeeImg": "userfemale",
"CurrentSalary": 84790,
"Address": "Rua do Mercado, 12",
"Mail": "rose108@jourrapide.com"
},
{
"EmployeeID": 10030,
"Employees": "Vinet Van",
"Designation": "Developer",
"Location": "USA",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 40,
"EmployeeImg": "usermale",
"CurrentSalary": 71005,
"Address": "Gran Vía, 1",
"Mail": "vinet90@jourrapide.com"
}
]Server side code snippets:
public IActionResult Save(SaveSettings saveSettings, string customParams)
{
Console.WriteLine(customParams); // you can get the custom params in controller side
return Workbook.Save(saveSettings);
}Add custom header during save
You can add your own custom header to the save action in the Spreadsheet. For processing the data, it has to be sent from client to server side and adding customer header can provide privacy to the data with the help of Authorization Token. Through the fileMenuItemSelect event, the custom header can be added to the request during save action.
import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent, SheetsDirective, SheetDirective, RangesDirective } from '@syncfusion/ej2-react-spreadsheet';
import { RangeDirective, ColumnsDirective, ColumnDirective } from '@syncfusion/ej2-react-spreadsheet';
import { createElement } from '@syncfusion/ej2-base';
import { defaultData } from './datasource';
function App() {
const spreadsheetRef = React.useRef(null);
const fileMenuItemSelect = (args) => {
let spreadsheet = spreadsheetRef.current;
if (args.item.text === 'Microsoft Excel' && spreadsheet) {
args.cancel = true;
spreadsheet.saveAsJson().then((response) => {
let formData = new FormData();
formData.append('JSONData', JSON.stringify(response.jsonObject.Workbook));
formData.append('fileName', 'Sample');
formData.append('saveType', 'Xlsx');
formData.append('pdfLayoutSettings', JSON.stringify({ fitSheetOnOnePage: false, orientation: 'Portrait' }));
fetch(
'https://services.syncfusion.com/react/production/api/spreadsheet/save',
{
method: 'POST',
headers: { Authorization: 'YOUR TEXT' },
body: formData,
mode: 'no-cors'
}
).then((response) => {
response.blob().then((data) => {
let anchor = createElement('a', {
attrs: { download: 'Sample.xlsx' },
});
const url = URL.createObjectURL(data);
anchor.href = url;
document.body.appendChild(anchor);
anchor.click();
URL.revokeObjectURL(url);
document.body.removeChild(anchor);
});
});
});
}
};
return (
<SpreadsheetComponent ref={spreadsheetRef} allowSave={true} fileMenuItemSelect={fileMenuItemSelect}
saveUrl="https://services.syncfusion.com/react/production/api/spreadsheet/save" >
<SheetsDirective>
<SheetDirective>
<RangesDirective>
<RangeDirective dataSource={defaultData}></RangeDirective>
</RangesDirective>
<ColumnsDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
</ColumnsDirective>
</SheetDirective>
</SheetsDirective>
</SpreadsheetComponent>
);
};
export default App;
const root = createRoot(document.getElementById('root'));
root.render(<App />);import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent, SheetsDirective, SheetDirective, RangesDirective, MenuSelectEventArgs } from '@syncfusion/ej2-react-spreadsheet';
import { RangeDirective, ColumnsDirective, ColumnDirective } from '@syncfusion/ej2-react-spreadsheet';
import { createElement } from '@syncfusion/ej2-base';
import { defaultData } from './datasource';
function App() {
const spreadsheetRef = React.useRef<SpreadsheetComponent>(null);
const fileMenuItemSelect = (args: MenuSelectEventArgs): void => {
let spreadsheet = spreadsheetRef.current;
if (args.item.text === 'Microsoft Excel' && spreadsheet) {
args.cancel = true;
spreadsheet.saveAsJson().then((response) => {
let formData: FormData = new FormData();
formData.append('JSONData', JSON.stringify(response.jsonObject.Workbook));
formData.append('fileName', 'Sample');
formData.append('saveType', 'Xlsx');
formData.append('pdfLayoutSettings', JSON.stringify({ fitSheetOnOnePage: false, orientation: 'Portrait' }));
fetch(
'https://services.syncfusion.com/react/production/api/spreadsheet/save',
{
method: 'POST',
headers: { Authorization: 'YOUR TEXT' },
body: formData,
mode: 'no-cors'
}
).then((response) => {
response.blob().then((data) => {
let anchor: HTMLElement = createElement('a', {
attrs: { download: 'Sample.xlsx' },
});
const url: string = URL.createObjectURL(data);
anchor.href = url;
document.body.appendChild(anchor);
anchor.click();
URL.revokeObjectURL(url);
document.body.removeChild(anchor);
});
});
});
}
};
return (
<SpreadsheetComponent ref={spreadsheetRef} allowSave={true} fileMenuItemSelect={fileMenuItemSelect}
saveUrl="https://services.syncfusion.com/react/production/api/spreadsheet/save" >
<SheetsDirective>
<SheetDirective>
<RangesDirective>
<RangeDirective dataSource={defaultData}></RangeDirective>
</RangesDirective>
<ColumnsDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
</ColumnsDirective>
</SheetDirective>
</SheetsDirective>
</SpreadsheetComponent>
);
};
export default App;
const root = createRoot(document.getElementById('root')!);
root.render(<App />);/**
* Default data source
*/
export let defaultData = [
{ 'Item Name': 'Casual Shoes', Date: '02/14/2014', Time: '11:34:32 AM', Quantity: 10, Price: 20, Amount: 200, Discount: 1, Profit: 10 },
{ 'Item Name': 'Sports Shoes', Date: '06/11/2014', Time: '05:56:32 AM', Quantity: 20, Price: 30, Amount: 600, Discount: 5, Profit: 50 },
{ 'Item Name': 'Formal Shoes', Date: '07/27/2014', Time: '03:32:44 AM', Quantity: 20, Price: 15, Amount: 300, Discount: 7, Profit: 27 },
{ 'Item Name': 'Sandals & Floaters', Date: '11/21/2014', Time: '06:23:54 AM', Quantity: 15, Price: 20, Amount: 300, Discount: 11, Profit: 67 },
{ 'Item Name': 'Flip- Flops & Slippers', Date: '06/23/2014', Time: '12:43:59 AM', Quantity: 30, Price: 10, Amount: 300, Discount: 10, Profit: 70 },
{ 'Item Name': 'Sneakers', Date: '07/22/2014', Time: '10:55:53 AM', Quantity: 40, Price: 20, Amount: 800, Discount: 13, Profit: 66 },
{ 'Item Name': 'Running Shoes', Date: '02/04/2014', Time: '03:44:34 AM', Quantity: 20, Price: 10, Amount: 200, Discount: 3, Profit: 14 },
{ 'Item Name': 'Loafers', Date: '11/30/2014', Time: '03:12:52 AM', Quantity: 31, Price: 10, Amount: 310, Discount: 6, Profit: 29 },
{ 'Item Name': 'Cricket Shoes', Date: '07/09/2014', Time: '11:32:14 AM', Quantity: 41, Price: 30, Amount: 1210, Discount: 12, Profit: 166 },
{ 'Item Name': 'T-Shirts', Date: '10/31/2014', Time: '12:01:44 AM', Quantity: 50, Price: 10, Amount: 500, Discount: 9, Profit: 55 },
];
/**
* Grid datasource
*/
export function getTradeData(dataCount) {
let employees = [
'Michael', 'Kathryn', 'Tamer', 'Martin', 'Davolio', 'Nancy', 'Fuller', 'Leverling', 'Peacock',
'Margaret', 'Buchanan', 'Janet', 'Andrew', 'Callahan', 'Laura', 'Dodsworth', 'Anne',
'Bergs', 'Vinet', 'Anton', 'Fleet', 'Zachery', 'Van', 'King', 'Jack', 'Rose'
];
let designation = ['Manager', 'CFO', 'Designer', 'Developer', 'Program Directory', 'System Analyst', 'Project Lead'];
let mail = ['sample.com', 'arpy.com', 'rpy.com', 'mail.com', 'jourrapide.com'];
let location = ['UK', 'USA', 'Sweden', 'France', 'Canada', 'Argentina', 'Austria', 'Germany', 'Mexico'];
let status = ['Active', 'Inactive'];
let trustworthiness = ['Perfect', 'Sufficient', 'Insufficient'];
let tradeData = [];
let address = ['59 rue de lAbbaye', 'Luisenstr. 48', 'Rua do Paço, 67', '2, rue du Commerce', 'Boulevard Tirou, 255',
'Rua do mailPaço, 67', 'Hauptstr. 31', 'Starenweg 5', 'Rua do Mercado, 12',
'Carrera 22 con Ave. Carlos Soublette #8-35', 'Kirchgasse 6',
'Sierras de Granada 9993', 'Mehrheimerstr. 369', 'Rua da Panificadora, 12', '2817 Milton Dr.', 'Kirchgasse 6',
'Åkergatan 24', '24, place Kléber', 'Torikatu 38', 'Berliner Platz 43', '5ª Ave. Los Palos Grandes', '1029 - 12th Ave. S.',
'Torikatu 38', 'P.O. Box 555', '2817 Milton Dr.', 'Taucherstraße 10', '59 rue de lAbbaye', 'Via Ludovico il Moro 22',
'Avda. Azteca 123', 'Heerstr. 22', 'Berguvsvägen 8', 'Magazinweg 7', 'Berguvsvägen 8', 'Gran Vía, 1', 'Gran Vía, 1',
'Carrera 52 con Ave. Bolívar #65-98 Llano Largo', 'Magazinweg 7', 'Taucherstraße 10', 'Taucherstraße 10',
'Av. Copacabana, 267', 'Strada Provinciale 124', 'Fauntleroy Circus', 'Av. dos Lusíadas, 23',
'Rua da Panificadora, 12', 'Av. Inês de Castro, 414', 'Avda. Azteca 123', '2817 Milton Dr.'];
let employeeimg = ['usermale', 'userfemale'];
if (typeof dataCount === 'string') {
dataCount = parseInt(dataCount, 10);
}
for (let i = 1; i <= dataCount; i++) {
let code = 10000;
tradeData.push({
'EmployeeID': code + i,
'Employees': employees[Math.floor(Math.random() * employees.length)] + ' ' + employees[Math.floor(Math.random() * employees.length)],
'Designation': designation[Math.floor(Math.random() * designation.length)],
'Location': location[Math.floor(Math.random() * location.length)],
'Status': status[Math.floor(Math.random() * status.length)],
'Trustworthiness': trustworthiness[Math.floor(Math.random() * trustworthiness.length)],
'Rating': Math.floor(Math.random() * 5),
'Software': Math.floor(Math.random() * 100),
'EmployeeImg': employeeimg[Math.floor(Math.random() * employeeimg.length)],
'CurrentSalary': Math.floor((Math.random() * 100000)),
'Address': address[Math.floor(Math.random() * address.length)],
});
let employee = 'Employees';
let emp = tradeData[i - 1][employee];
let sName = emp.substr(0, emp.indexOf(' ')).toLowerCase();
let empmail = 'Mail';
tradeData[i - 1][empmail] = sName + (Math.floor(Math.random() * 100) + 10) + '@' + mail[Math.floor(Math.random() * mail.length)];
}
return tradeData;
}
export let tradeData = [
{
"EmployeeID": 10001,
"Employees": "Laura Nancy",
"Designation": "Designer",
"Location": "France",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 69,
"EmployeeImg": "usermale",
"CurrentSalary": 84194,
"Address": "Taucherstraße 10",
"Mail": "laura15@jourrapide.com"
},
{
"EmployeeID": 10002,
"Employees": "Zachery Van",
"Designation": "CFO",
"Location": "Canada",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 99,
"EmployeeImg": "usermale",
"CurrentSalary": 55349,
"Address": "5ª Ave. Los Palos Grandes",
"Mail": "zachery109@sample.com"
},
{
"EmployeeID": 10003,
"Employees": "Rose Fuller",
"Designation": "CFO",
"Location": "France",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 1,
"EmployeeImg": "usermale",
"CurrentSalary": 16477,
"Address": "2817 Milton Dr.",
"Mail": "rose55@rpy.com"
},
{
"EmployeeID": 10004,
"Employees": "Jack Bergs",
"Designation": "Manager",
"Location": "Mexico",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 36,
"EmployeeImg": "usermale",
"CurrentSalary": 49040,
"Address": "2, rue du Commerce",
"Mail": "jack30@sample.com"
},
{
"EmployeeID": 10005,
"Employees": "Vinet Bergs",
"Designation": "Program Directory",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 39,
"EmployeeImg": "usermale",
"CurrentSalary": 5495,
"Address": "Rua da Panificadora, 12",
"Mail": "vinet32@jourrapide.com"
},
{
"EmployeeID": 10006,
"Employees": "Buchanan Van",
"Designation": "Designer",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 4,
"Software": 78,
"EmployeeImg": "usermale",
"CurrentSalary": 42182,
"Address": "24, place Kléber",
"Mail": "buchanan18@mail.com"
},
{
"EmployeeID": 10007,
"Employees": "Dodsworth Nancy",
"Designation": "Project Lead",
"Location": "USA",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 0,
"EmployeeImg": "userfemale",
"CurrentSalary": 35776,
"Address": "Rua do Paço, 67",
"Mail": "dodsworth84@mail.com"
},
{
"EmployeeID": 10008,
"Employees": "Laura Jack",
"Designation": "Developer",
"Location": "Austria",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 89,
"EmployeeImg": "usermale",
"CurrentSalary": 25108,
"Address": "Rua da Panificadora, 12",
"Mail": "laura82@mail.com"
},
{
"EmployeeID": 10009,
"Employees": "Anne Fuller",
"Designation": "Program Directory",
"Location": "Mexico",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 0,
"Software": 19,
"EmployeeImg": "userfemale",
"CurrentSalary": 32568,
"Address": "Gran Vía, 1",
"Mail": "anne97@jourrapide.com"
},
{
"EmployeeID": 10010,
"Employees": "Buchanan Andrew",
"Designation": "Designer",
"Location": "Austria",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 62,
"EmployeeImg": "userfemale",
"CurrentSalary": 12320,
"Address": "P.O. Box 555",
"Mail": "buchanan50@jourrapide.com"
},
{
"EmployeeID": 10011,
"Employees": "Andrew Janet",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 8,
"EmployeeImg": "userfemale",
"CurrentSalary": 20890,
"Address": "Starenweg 5",
"Mail": "andrew63@mail.com"
},
{
"EmployeeID": 10012,
"Employees": "Margaret Tamer",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 4,
"Software": 7,
"EmployeeImg": "userfemale",
"CurrentSalary": 22337,
"Address": "Magazinweg 7",
"Mail": "margaret26@mail.com"
},
{
"EmployeeID": 10013,
"Employees": "Tamer Fuller",
"Designation": "CFO",
"Location": "Canada",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 78,
"EmployeeImg": "usermale",
"CurrentSalary": 89181,
"Address": "Taucherstraße 10",
"Mail": "tamer40@arpy.com"
},
{
"EmployeeID": 10014,
"Employees": "Tamer Anne",
"Designation": "CFO",
"Location": "Sweden",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 18,
"EmployeeImg": "usermale",
"CurrentSalary": 20998,
"Address": "Taucherstraße 10",
"Mail": "tamer68@arpy.com"
},
{
"EmployeeID": 10015,
"Employees": "Anton Davolio",
"Designation": "Project Lead",
"Location": "France",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 4,
"Software": 8,
"EmployeeImg": "userfemale",
"CurrentSalary": 48232,
"Address": "Luisenstr. 48",
"Mail": "anton46@mail.com"
},
{
"EmployeeID": 10016,
"Employees": "Buchanan Buchanan",
"Designation": "System Analyst",
"Location": "Austria",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 19,
"EmployeeImg": "usermale",
"CurrentSalary": 43041,
"Address": "Carrera 52 con Ave. Bolívar #65-98 Llano Largo",
"Mail": "buchanan68@mail.com"
},
{
"EmployeeID": 10017,
"Employees": "King Buchanan",
"Designation": "Program Directory",
"Location": "Sweden",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 44,
"EmployeeImg": "userfemale",
"CurrentSalary": 25259,
"Address": "Magazinweg 7",
"Mail": "king80@jourrapide.com"
},
{
"EmployeeID": 10018,
"Employees": "Rose Michael",
"Designation": "Project Lead",
"Location": "Canada",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 4,
"Software": 31,
"EmployeeImg": "userfemale",
"CurrentSalary": 91156,
"Address": "Fauntleroy Circus",
"Mail": "rose75@mail.com"
},
{
"EmployeeID": 10019,
"Employees": "King Bergs",
"Designation": "Developer",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 2,
"Software": 29,
"EmployeeImg": "userfemale",
"CurrentSalary": 28826,
"Address": "2817 Milton Dr.",
"Mail": "king57@jourrapide.com"
},
{
"EmployeeID": 10020,
"Employees": "Davolio Fuller",
"Designation": "Designer",
"Location": "Canada",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 3,
"Software": 35,
"EmployeeImg": "userfemale",
"CurrentSalary": 71035,
"Address": "Gran Vía, 1",
"Mail": "davolio29@arpy.com"
},
{
"EmployeeID": 10021,
"Employees": "Rose Rose",
"Designation": "CFO",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 38,
"EmployeeImg": "usermale",
"CurrentSalary": 68123,
"Address": "Rua do Mercado, 12",
"Mail": "rose54@arpy.com"
},
{
"EmployeeID": 10022,
"Employees": "Andrew Michael",
"Designation": "Program Directory",
"Location": "UK",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 2,
"Software": 61,
"EmployeeImg": "userfemale",
"CurrentSalary": 75470,
"Address": "2, rue du Commerce",
"Mail": "andrew88@jourrapide.com"
},
{
"EmployeeID": 10023,
"Employees": "Davolio Kathryn",
"Designation": "Manager",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 25,
"EmployeeImg": "usermale",
"CurrentSalary": 25234,
"Address": "Hauptstr. 31",
"Mail": "davolio42@sample.com"
},
{
"EmployeeID": 10024,
"Employees": "Anne Fleet",
"Designation": "System Analyst",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 0,
"EmployeeImg": "userfemale",
"CurrentSalary": 8341,
"Address": "59 rue de lAbbaye",
"Mail": "anne86@arpy.com"
},
{
"EmployeeID": 10025,
"Employees": "Margaret Andrew",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 51,
"EmployeeImg": "userfemale",
"CurrentSalary": 84975,
"Address": "P.O. Box 555",
"Mail": "margaret41@arpy.com"
},
{
"EmployeeID": 10026,
"Employees": "Kathryn Laura",
"Designation": "Project Lead",
"Location": "Austria",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 48,
"EmployeeImg": "usermale",
"CurrentSalary": 97282,
"Address": "Avda. Azteca 123",
"Mail": "kathryn82@rpy.com"
},
{
"EmployeeID": 10027,
"Employees": "Michael Michael",
"Designation": "Developer",
"Location": "UK",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 4,
"Software": 16,
"EmployeeImg": "usermale",
"CurrentSalary": 4184,
"Address": "Rua do Paço, 67",
"Mail": "michael58@jourrapide.com"
},
{
"EmployeeID": 10028,
"Employees": "Leverling Vinet",
"Designation": "Project Lead",
"Location": "Germany",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 57,
"EmployeeImg": "userfemale",
"CurrentSalary": 38370,
"Address": "59 rue de lAbbaye",
"Mail": "leverling102@sample.com"
},
{
"EmployeeID": 10029,
"Employees": "Rose Jack",
"Designation": "Developer",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 46,
"EmployeeImg": "userfemale",
"CurrentSalary": 84790,
"Address": "Rua do Mercado, 12",
"Mail": "rose108@jourrapide.com"
},
{
"EmployeeID": 10030,
"Employees": "Vinet Van",
"Designation": "Developer",
"Location": "USA",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 40,
"EmployeeImg": "usermale",
"CurrentSalary": 71005,
"Address": "Gran Vía, 1",
"Mail": "vinet90@jourrapide.com"
}
];/**
* Default data source
*/
export let defaultData: Object[] = [
{ 'Item Name': 'Casual Shoes', Date: '02/14/2014', Time: '11:34:32 AM', Quantity: 10, Price: 20, Amount: 200, Discount: 1, Profit: 10 },
{ 'Item Name': 'Sports Shoes', Date: '06/11/2014', Time: '05:56:32 AM', Quantity: 20, Price: 30, Amount: 600, Discount: 5, Profit: 50 },
{ 'Item Name': 'Formal Shoes', Date: '07/27/2014', Time: '03:32:44 AM', Quantity: 20, Price: 15, Amount: 300, Discount: 7, Profit: 27 },
{ 'Item Name': 'Sandals & Floaters', Date: '11/21/2014', Time: '06:23:54 AM', Quantity: 15, Price: 20, Amount: 300, Discount: 11, Profit: 67 },
{ 'Item Name': 'Flip- Flops & Slippers', Date: '06/23/2014', Time: '12:43:59 AM', Quantity: 30, Price: 10, Amount: 300, Discount: 10, Profit: 70 },
{ 'Item Name': 'Sneakers', Date: '07/22/2014', Time: '10:55:53 AM', Quantity: 40, Price: 20, Amount: 800, Discount: 13, Profit: 66 },
{ 'Item Name': 'Running Shoes', Date: '02/04/2014', Time: '03:44:34 AM', Quantity: 20, Price: 10, Amount: 200, Discount: 3, Profit: 14 },
{ 'Item Name': 'Loafers', Date: '11/30/2014', Time: '03:12:52 AM', Quantity: 31, Price: 10, Amount: 310, Discount: 6, Profit: 29 },
{ 'Item Name': 'Cricket Shoes', Date: '07/09/2014', Time: '11:32:14 AM', Quantity: 41, Price: 30, Amount: 1210, Discount: 12, Profit: 166 },
{ 'Item Name': 'T-Shirts', Date: '10/31/2014', Time: '12:01:44 AM', Quantity: 50, Price: 10, Amount: 500, Discount: 9, Profit: 55 },
];
/**
* Grid datasource
*/
export function getTradeData(dataCount?: number): object {
let employees: string[] = [
'Michael', 'Kathryn', 'Tamer', 'Martin', 'Davolio', 'Nancy', 'Fuller', 'Leverling', 'Peacock',
'Margaret', 'Buchanan', 'Janet', 'Andrew', 'Callahan', 'Laura', 'Dodsworth', 'Anne',
'Bergs', 'Vinet', 'Anton', 'Fleet', 'Zachery', 'Van', 'King', 'Jack', 'Rose'];
let designation: string[] = ['Manager', 'CFO', 'Designer', 'Developer', 'Program Directory', 'System Analyst', 'Project Lead'];
let mail: string[] = ['sample.com', 'arpy.com', 'rpy.com', 'mail.com', 'jourrapide.com'];
let location: string[] = ['UK', 'USA', 'Sweden', 'France', 'Canada', 'Argentina', 'Austria', 'Germany', 'Mexico'];
let status: string[] = ['Active', 'Inactive'];
let trustworthiness: string[] = ['Perfect', 'Sufficient', 'Insufficient'];
let tradeData: Object[] = [];
let address: string[] = ['59 rue de lAbbaye', 'Luisenstr. 48', 'Rua do Paço, 67', '2, rue du Commerce', 'Boulevard Tirou, 255',
'Rua do mailPaço, 67', 'Hauptstr. 31', 'Starenweg 5', 'Rua do Mercado, 12',
'Carrera 22 con Ave. Carlos Soublette #8-35', 'Kirchgasse 6',
'Sierras de Granada 9993', 'Mehrheimerstr. 369', 'Rua da Panificadora, 12', '2817 Milton Dr.', 'Kirchgasse 6',
'Åkergatan 24', '24, place Kléber', 'Torikatu 38', 'Berliner Platz 43', '5ª Ave. Los Palos Grandes', '1029 - 12th Ave. S.',
'Torikatu 38', 'P.O. Box 555', '2817 Milton Dr.', 'Taucherstraße 10', '59 rue de lAbbaye', 'Via Ludovico il Moro 22',
'Avda. Azteca 123', 'Heerstr. 22', 'Berguvsvägen 8', 'Magazinweg 7', 'Berguvsvägen 8', 'Gran Vía, 1', 'Gran Vía, 1',
'Carrera 52 con Ave. Bolívar #65-98 Llano Largo', 'Magazinweg 7', 'Taucherstraße 10', 'Taucherstraße 10',
'Av. Copacabana, 267', 'Strada Provinciale 124', 'Fauntleroy Circus', 'Av. dos Lusíadas, 23',
'Rua da Panificadora, 12', 'Av. Inês de Castro, 414', 'Avda. Azteca 123', '2817 Milton Dr.'];
let employeeimg: string[] = ['usermale', 'userfemale'];
if (typeof dataCount === 'string') {
dataCount = parseInt(dataCount, 10);
}
for (let i: number = 1; i <= dataCount; i++) {
let code: any = 10000;
tradeData.push({
'EmployeeID': code + i,
'Employees':
employees[Math.floor(Math.random() * employees.length)] + ' ' + employees[Math.floor(Math.random() * employees.length)],
'Designation': designation[Math.floor(Math.random() * designation.length)],
'Location': location[Math.floor(Math.random() * location.length)],
'Status': status[Math.floor(Math.random() * status.length)],
'Trustworthiness': trustworthiness[Math.floor(Math.random() * trustworthiness.length)],
'Rating': Math.floor(Math.random() * 5),
'Software': Math.floor(Math.random() * 100),
'EmployeeImg': employeeimg[Math.floor(Math.random() * employeeimg.length)],
'CurrentSalary': Math.floor((Math.random() * 100000)),
'Address': address[Math.floor(Math.random() * address.length)],
});
let employee: string = 'Employees';
let emp: string = tradeData[i - 1][employee];
let sName: string = emp.substr(0, emp.indexOf(' ')).toLowerCase();
let empmail: string = 'Mail';
tradeData[i - 1][empmail] = sName + (Math.floor(Math.random() * 100) + 10) + '@' + mail[Math.floor(Math.random() * mail.length)];
}
return tradeData;
}
export let tradeData: Object[] = [
{
"EmployeeID": 10001,
"Employees": "Laura Nancy",
"Designation": "Designer",
"Location": "France",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 69,
"EmployeeImg": "usermale",
"CurrentSalary": 84194,
"Address": "Taucherstraße 10",
"Mail": "laura15@jourrapide.com"
},
{
"EmployeeID": 10002,
"Employees": "Zachery Van",
"Designation": "CFO",
"Location": "Canada",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 99,
"EmployeeImg": "usermale",
"CurrentSalary": 55349,
"Address": "5ª Ave. Los Palos Grandes",
"Mail": "zachery109@sample.com"
},
{
"EmployeeID": 10003,
"Employees": "Rose Fuller",
"Designation": "CFO",
"Location": "France",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 1,
"EmployeeImg": "usermale",
"CurrentSalary": 16477,
"Address": "2817 Milton Dr.",
"Mail": "rose55@rpy.com"
},
{
"EmployeeID": 10004,
"Employees": "Jack Bergs",
"Designation": "Manager",
"Location": "Mexico",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 36,
"EmployeeImg": "usermale",
"CurrentSalary": 49040,
"Address": "2, rue du Commerce",
"Mail": "jack30@sample.com"
},
{
"EmployeeID": 10005,
"Employees": "Vinet Bergs",
"Designation": "Program Directory",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 39,
"EmployeeImg": "usermale",
"CurrentSalary": 5495,
"Address": "Rua da Panificadora, 12",
"Mail": "vinet32@jourrapide.com"
},
{
"EmployeeID": 10006,
"Employees": "Buchanan Van",
"Designation": "Designer",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 4,
"Software": 78,
"EmployeeImg": "usermale",
"CurrentSalary": 42182,
"Address": "24, place Kléber",
"Mail": "buchanan18@mail.com"
},
{
"EmployeeID": 10007,
"Employees": "Dodsworth Nancy",
"Designation": "Project Lead",
"Location": "USA",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 0,
"EmployeeImg": "userfemale",
"CurrentSalary": 35776,
"Address": "Rua do Paço, 67",
"Mail": "dodsworth84@mail.com"
},
{
"EmployeeID": 10008,
"Employees": "Laura Jack",
"Designation": "Developer",
"Location": "Austria",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 89,
"EmployeeImg": "usermale",
"CurrentSalary": 25108,
"Address": "Rua da Panificadora, 12",
"Mail": "laura82@mail.com"
},
{
"EmployeeID": 10009,
"Employees": "Anne Fuller",
"Designation": "Program Directory",
"Location": "Mexico",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 0,
"Software": 19,
"EmployeeImg": "userfemale",
"CurrentSalary": 32568,
"Address": "Gran Vía, 1",
"Mail": "anne97@jourrapide.com"
},
{
"EmployeeID": 10010,
"Employees": "Buchanan Andrew",
"Designation": "Designer",
"Location": "Austria",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 62,
"EmployeeImg": "userfemale",
"CurrentSalary": 12320,
"Address": "P.O. Box 555",
"Mail": "buchanan50@jourrapide.com"
},
{
"EmployeeID": 10011,
"Employees": "Andrew Janet",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 8,
"EmployeeImg": "userfemale",
"CurrentSalary": 20890,
"Address": "Starenweg 5",
"Mail": "andrew63@mail.com"
},
{
"EmployeeID": 10012,
"Employees": "Margaret Tamer",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 4,
"Software": 7,
"EmployeeImg": "userfemale",
"CurrentSalary": 22337,
"Address": "Magazinweg 7",
"Mail": "margaret26@mail.com"
},
{
"EmployeeID": 10013,
"Employees": "Tamer Fuller",
"Designation": "CFO",
"Location": "Canada",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 78,
"EmployeeImg": "usermale",
"CurrentSalary": 89181,
"Address": "Taucherstraße 10",
"Mail": "tamer40@arpy.com"
},
{
"EmployeeID": 10014,
"Employees": "Tamer Anne",
"Designation": "CFO",
"Location": "Sweden",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 18,
"EmployeeImg": "usermale",
"CurrentSalary": 20998,
"Address": "Taucherstraße 10",
"Mail": "tamer68@arpy.com"
},
{
"EmployeeID": 10015,
"Employees": "Anton Davolio",
"Designation": "Project Lead",
"Location": "France",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 4,
"Software": 8,
"EmployeeImg": "userfemale",
"CurrentSalary": 48232,
"Address": "Luisenstr. 48",
"Mail": "anton46@mail.com"
},
{
"EmployeeID": 10016,
"Employees": "Buchanan Buchanan",
"Designation": "System Analyst",
"Location": "Austria",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 19,
"EmployeeImg": "usermale",
"CurrentSalary": 43041,
"Address": "Carrera 52 con Ave. Bolívar #65-98 Llano Largo",
"Mail": "buchanan68@mail.com"
},
{
"EmployeeID": 10017,
"Employees": "King Buchanan",
"Designation": "Program Directory",
"Location": "Sweden",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 44,
"EmployeeImg": "userfemale",
"CurrentSalary": 25259,
"Address": "Magazinweg 7",
"Mail": "king80@jourrapide.com"
},
{
"EmployeeID": 10018,
"Employees": "Rose Michael",
"Designation": "Project Lead",
"Location": "Canada",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 4,
"Software": 31,
"EmployeeImg": "userfemale",
"CurrentSalary": 91156,
"Address": "Fauntleroy Circus",
"Mail": "rose75@mail.com"
},
{
"EmployeeID": 10019,
"Employees": "King Bergs",
"Designation": "Developer",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 2,
"Software": 29,
"EmployeeImg": "userfemale",
"CurrentSalary": 28826,
"Address": "2817 Milton Dr.",
"Mail": "king57@jourrapide.com"
},
{
"EmployeeID": 10020,
"Employees": "Davolio Fuller",
"Designation": "Designer",
"Location": "Canada",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 3,
"Software": 35,
"EmployeeImg": "userfemale",
"CurrentSalary": 71035,
"Address": "Gran Vía, 1",
"Mail": "davolio29@arpy.com"
},
{
"EmployeeID": 10021,
"Employees": "Rose Rose",
"Designation": "CFO",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 38,
"EmployeeImg": "usermale",
"CurrentSalary": 68123,
"Address": "Rua do Mercado, 12",
"Mail": "rose54@arpy.com"
},
{
"EmployeeID": 10022,
"Employees": "Andrew Michael",
"Designation": "Program Directory",
"Location": "UK",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 2,
"Software": 61,
"EmployeeImg": "userfemale",
"CurrentSalary": 75470,
"Address": "2, rue du Commerce",
"Mail": "andrew88@jourrapide.com"
},
{
"EmployeeID": 10023,
"Employees": "Davolio Kathryn",
"Designation": "Manager",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 25,
"EmployeeImg": "usermale",
"CurrentSalary": 25234,
"Address": "Hauptstr. 31",
"Mail": "davolio42@sample.com"
},
{
"EmployeeID": 10024,
"Employees": "Anne Fleet",
"Designation": "System Analyst",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 0,
"EmployeeImg": "userfemale",
"CurrentSalary": 8341,
"Address": "59 rue de lAbbaye",
"Mail": "anne86@arpy.com"
},
{
"EmployeeID": 10025,
"Employees": "Margaret Andrew",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 51,
"EmployeeImg": "userfemale",
"CurrentSalary": 84975,
"Address": "P.O. Box 555",
"Mail": "margaret41@arpy.com"
},
{
"EmployeeID": 10026,
"Employees": "Kathryn Laura",
"Designation": "Project Lead",
"Location": "Austria",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 48,
"EmployeeImg": "usermale",
"CurrentSalary": 97282,
"Address": "Avda. Azteca 123",
"Mail": "kathryn82@rpy.com"
},
{
"EmployeeID": 10027,
"Employees": "Michael Michael",
"Designation": "Developer",
"Location": "UK",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 4,
"Software": 16,
"EmployeeImg": "usermale",
"CurrentSalary": 4184,
"Address": "Rua do Paço, 67",
"Mail": "michael58@jourrapide.com"
},
{
"EmployeeID": 10028,
"Employees": "Leverling Vinet",
"Designation": "Project Lead",
"Location": "Germany",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 57,
"EmployeeImg": "userfemale",
"CurrentSalary": 38370,
"Address": "59 rue de lAbbaye",
"Mail": "leverling102@sample.com"
},
{
"EmployeeID": 10029,
"Employees": "Rose Jack",
"Designation": "Developer",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 46,
"EmployeeImg": "userfemale",
"CurrentSalary": 84790,
"Address": "Rua do Mercado, 12",
"Mail": "rose108@jourrapide.com"
},
{
"EmployeeID": 10030,
"Employees": "Vinet Van",
"Designation": "Developer",
"Location": "USA",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 40,
"EmployeeImg": "usermale",
"CurrentSalary": 71005,
"Address": "Gran Vía, 1",
"Mail": "vinet90@jourrapide.com"
}
]Change the PDF orientation
By default, the PDF document is created in Portrait orientation. You can change the orientation of the PDF document by using the args.pdfLayoutSettings.orientation argument settings in the beforeSave event.
The possible values are:
- Portrait - Used to display content in a vertical layout.
- Landscape - Used to display content in a horizontal layout.
import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent, SheetsDirective, SheetDirective, RangesDirective } from '@syncfusion/ej2-react-spreadsheet';
import { RangeDirective, ColumnsDirective, ColumnDirective } from '@syncfusion/ej2-react-spreadsheet';
import { defaultData } from './datasource';
function App() {
const beforeSave = (args) => {
args.pdfLayoutSettings.orientation = 'Landscape'; // You can change the orientation of the PDF document
}
return (<SpreadsheetComponent allowSave={true} saveUrl='https://services.syncfusion.com/react/production/api/spreadsheet/save' beforeSave={beforeSave}>
<SheetsDirective>
<SheetDirective>
<RangesDirective>
<RangeDirective dataSource={defaultData}></RangeDirective>
</RangesDirective>
<ColumnsDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
</ColumnsDirective>
</SheetDirective>
</SheetsDirective>
</SpreadsheetComponent>);
};
export default App;
const root = createRoot(document.getElementById('root'));
root.render(<App />);import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent, SheetsDirective, SheetDirective, RangesDirective } from '@syncfusion/ej2-react-spreadsheet';
import { RangeDirective, ColumnsDirective, ColumnDirective } from '@syncfusion/ej2-react-spreadsheet';
import { defaultData } from './datasource';
function App() {
const beforeSave = (args): void => {
args.pdfLayoutSettings.orientation = 'Landscape'; // You can change the orientation of the PDF document
}
return (<SpreadsheetComponent allowSave={true} saveUrl='https://services.syncfusion.com/react/production/api/spreadsheet/save' beforeSave={beforeSave}>
<SheetsDirective>
<SheetDirective>
<RangesDirective>
<RangeDirective dataSource={defaultData}></RangeDirective>
</RangesDirective>
<ColumnsDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
</ColumnsDirective>
</SheetDirective>
</SheetsDirective>
</SpreadsheetComponent>);
};
export default App;
const root = createRoot(document.getElementById('root')!);
root.render(<App />);/**
* Default data source
*/
export let defaultData = [
{ 'Item Name': 'Casual Shoes', Date: '02/14/2014', Time: '11:34:32 AM', Quantity: 10, Price: 20, Amount: 200, Discount: 1, Profit: 10 },
{ 'Item Name': 'Sports Shoes', Date: '06/11/2014', Time: '05:56:32 AM', Quantity: 20, Price: 30, Amount: 600, Discount: 5, Profit: 50 },
{ 'Item Name': 'Formal Shoes', Date: '07/27/2014', Time: '03:32:44 AM', Quantity: 20, Price: 15, Amount: 300, Discount: 7, Profit: 27 },
{ 'Item Name': 'Sandals & Floaters', Date: '11/21/2014', Time: '06:23:54 AM', Quantity: 15, Price: 20, Amount: 300, Discount: 11, Profit: 67 },
{ 'Item Name': 'Flip- Flops & Slippers', Date: '06/23/2014', Time: '12:43:59 AM', Quantity: 30, Price: 10, Amount: 300, Discount: 10, Profit: 70 },
{ 'Item Name': 'Sneakers', Date: '07/22/2014', Time: '10:55:53 AM', Quantity: 40, Price: 20, Amount: 800, Discount: 13, Profit: 66 },
{ 'Item Name': 'Running Shoes', Date: '02/04/2014', Time: '03:44:34 AM', Quantity: 20, Price: 10, Amount: 200, Discount: 3, Profit: 14 },
{ 'Item Name': 'Loafers', Date: '11/30/2014', Time: '03:12:52 AM', Quantity: 31, Price: 10, Amount: 310, Discount: 6, Profit: 29 },
{ 'Item Name': 'Cricket Shoes', Date: '07/09/2014', Time: '11:32:14 AM', Quantity: 41, Price: 30, Amount: 1210, Discount: 12, Profit: 166 },
{ 'Item Name': 'T-Shirts', Date: '10/31/2014', Time: '12:01:44 AM', Quantity: 50, Price: 10, Amount: 500, Discount: 9, Profit: 55 },
];
/**
* Grid datasource
*/
export function getTradeData(dataCount) {
let employees = [
'Michael', 'Kathryn', 'Tamer', 'Martin', 'Davolio', 'Nancy', 'Fuller', 'Leverling', 'Peacock',
'Margaret', 'Buchanan', 'Janet', 'Andrew', 'Callahan', 'Laura', 'Dodsworth', 'Anne',
'Bergs', 'Vinet', 'Anton', 'Fleet', 'Zachery', 'Van', 'King', 'Jack', 'Rose'
];
let designation = ['Manager', 'CFO', 'Designer', 'Developer', 'Program Directory', 'System Analyst', 'Project Lead'];
let mail = ['sample.com', 'arpy.com', 'rpy.com', 'mail.com', 'jourrapide.com'];
let location = ['UK', 'USA', 'Sweden', 'France', 'Canada', 'Argentina', 'Austria', 'Germany', 'Mexico'];
let status = ['Active', 'Inactive'];
let trustworthiness = ['Perfect', 'Sufficient', 'Insufficient'];
let tradeData = [];
let address = ['59 rue de lAbbaye', 'Luisenstr. 48', 'Rua do Paço, 67', '2, rue du Commerce', 'Boulevard Tirou, 255',
'Rua do mailPaço, 67', 'Hauptstr. 31', 'Starenweg 5', 'Rua do Mercado, 12',
'Carrera 22 con Ave. Carlos Soublette #8-35', 'Kirchgasse 6',
'Sierras de Granada 9993', 'Mehrheimerstr. 369', 'Rua da Panificadora, 12', '2817 Milton Dr.', 'Kirchgasse 6',
'Åkergatan 24', '24, place Kléber', 'Torikatu 38', 'Berliner Platz 43', '5ª Ave. Los Palos Grandes', '1029 - 12th Ave. S.',
'Torikatu 38', 'P.O. Box 555', '2817 Milton Dr.', 'Taucherstraße 10', '59 rue de lAbbaye', 'Via Ludovico il Moro 22',
'Avda. Azteca 123', 'Heerstr. 22', 'Berguvsvägen 8', 'Magazinweg 7', 'Berguvsvägen 8', 'Gran Vía, 1', 'Gran Vía, 1',
'Carrera 52 con Ave. Bolívar #65-98 Llano Largo', 'Magazinweg 7', 'Taucherstraße 10', 'Taucherstraße 10',
'Av. Copacabana, 267', 'Strada Provinciale 124', 'Fauntleroy Circus', 'Av. dos Lusíadas, 23',
'Rua da Panificadora, 12', 'Av. Inês de Castro, 414', 'Avda. Azteca 123', '2817 Milton Dr.'];
let employeeimg = ['usermale', 'userfemale'];
if (typeof dataCount === 'string') {
dataCount = parseInt(dataCount, 10);
}
for (let i = 1; i <= dataCount; i++) {
let code = 10000;
tradeData.push({
'EmployeeID': code + i,
'Employees': employees[Math.floor(Math.random() * employees.length)] + ' ' + employees[Math.floor(Math.random() * employees.length)],
'Designation': designation[Math.floor(Math.random() * designation.length)],
'Location': location[Math.floor(Math.random() * location.length)],
'Status': status[Math.floor(Math.random() * status.length)],
'Trustworthiness': trustworthiness[Math.floor(Math.random() * trustworthiness.length)],
'Rating': Math.floor(Math.random() * 5),
'Software': Math.floor(Math.random() * 100),
'EmployeeImg': employeeimg[Math.floor(Math.random() * employeeimg.length)],
'CurrentSalary': Math.floor((Math.random() * 100000)),
'Address': address[Math.floor(Math.random() * address.length)],
});
let employee = 'Employees';
let emp = tradeData[i - 1][employee];
let sName = emp.substr(0, emp.indexOf(' ')).toLowerCase();
let empmail = 'Mail';
tradeData[i - 1][empmail] = sName + (Math.floor(Math.random() * 100) + 10) + '@' + mail[Math.floor(Math.random() * mail.length)];
}
return tradeData;
}
export let tradeData = [
{
"EmployeeID": 10001,
"Employees": "Laura Nancy",
"Designation": "Designer",
"Location": "France",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 69,
"EmployeeImg": "usermale",
"CurrentSalary": 84194,
"Address": "Taucherstraße 10",
"Mail": "laura15@jourrapide.com"
},
{
"EmployeeID": 10002,
"Employees": "Zachery Van",
"Designation": "CFO",
"Location": "Canada",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 99,
"EmployeeImg": "usermale",
"CurrentSalary": 55349,
"Address": "5ª Ave. Los Palos Grandes",
"Mail": "zachery109@sample.com"
},
{
"EmployeeID": 10003,
"Employees": "Rose Fuller",
"Designation": "CFO",
"Location": "France",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 1,
"EmployeeImg": "usermale",
"CurrentSalary": 16477,
"Address": "2817 Milton Dr.",
"Mail": "rose55@rpy.com"
},
{
"EmployeeID": 10004,
"Employees": "Jack Bergs",
"Designation": "Manager",
"Location": "Mexico",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 36,
"EmployeeImg": "usermale",
"CurrentSalary": 49040,
"Address": "2, rue du Commerce",
"Mail": "jack30@sample.com"
},
{
"EmployeeID": 10005,
"Employees": "Vinet Bergs",
"Designation": "Program Directory",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 39,
"EmployeeImg": "usermale",
"CurrentSalary": 5495,
"Address": "Rua da Panificadora, 12",
"Mail": "vinet32@jourrapide.com"
},
{
"EmployeeID": 10006,
"Employees": "Buchanan Van",
"Designation": "Designer",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 4,
"Software": 78,
"EmployeeImg": "usermale",
"CurrentSalary": 42182,
"Address": "24, place Kléber",
"Mail": "buchanan18@mail.com"
},
{
"EmployeeID": 10007,
"Employees": "Dodsworth Nancy",
"Designation": "Project Lead",
"Location": "USA",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 0,
"EmployeeImg": "userfemale",
"CurrentSalary": 35776,
"Address": "Rua do Paço, 67",
"Mail": "dodsworth84@mail.com"
},
{
"EmployeeID": 10008,
"Employees": "Laura Jack",
"Designation": "Developer",
"Location": "Austria",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 89,
"EmployeeImg": "usermale",
"CurrentSalary": 25108,
"Address": "Rua da Panificadora, 12",
"Mail": "laura82@mail.com"
},
{
"EmployeeID": 10009,
"Employees": "Anne Fuller",
"Designation": "Program Directory",
"Location": "Mexico",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 0,
"Software": 19,
"EmployeeImg": "userfemale",
"CurrentSalary": 32568,
"Address": "Gran Vía, 1",
"Mail": "anne97@jourrapide.com"
},
{
"EmployeeID": 10010,
"Employees": "Buchanan Andrew",
"Designation": "Designer",
"Location": "Austria",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 62,
"EmployeeImg": "userfemale",
"CurrentSalary": 12320,
"Address": "P.O. Box 555",
"Mail": "buchanan50@jourrapide.com"
},
{
"EmployeeID": 10011,
"Employees": "Andrew Janet",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 8,
"EmployeeImg": "userfemale",
"CurrentSalary": 20890,
"Address": "Starenweg 5",
"Mail": "andrew63@mail.com"
},
{
"EmployeeID": 10012,
"Employees": "Margaret Tamer",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 4,
"Software": 7,
"EmployeeImg": "userfemale",
"CurrentSalary": 22337,
"Address": "Magazinweg 7",
"Mail": "margaret26@mail.com"
},
{
"EmployeeID": 10013,
"Employees": "Tamer Fuller",
"Designation": "CFO",
"Location": "Canada",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 78,
"EmployeeImg": "usermale",
"CurrentSalary": 89181,
"Address": "Taucherstraße 10",
"Mail": "tamer40@arpy.com"
},
{
"EmployeeID": 10014,
"Employees": "Tamer Anne",
"Designation": "CFO",
"Location": "Sweden",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 18,
"EmployeeImg": "usermale",
"CurrentSalary": 20998,
"Address": "Taucherstraße 10",
"Mail": "tamer68@arpy.com"
},
{
"EmployeeID": 10015,
"Employees": "Anton Davolio",
"Designation": "Project Lead",
"Location": "France",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 4,
"Software": 8,
"EmployeeImg": "userfemale",
"CurrentSalary": 48232,
"Address": "Luisenstr. 48",
"Mail": "anton46@mail.com"
},
{
"EmployeeID": 10016,
"Employees": "Buchanan Buchanan",
"Designation": "System Analyst",
"Location": "Austria",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 19,
"EmployeeImg": "usermale",
"CurrentSalary": 43041,
"Address": "Carrera 52 con Ave. Bolívar #65-98 Llano Largo",
"Mail": "buchanan68@mail.com"
},
{
"EmployeeID": 10017,
"Employees": "King Buchanan",
"Designation": "Program Directory",
"Location": "Sweden",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 44,
"EmployeeImg": "userfemale",
"CurrentSalary": 25259,
"Address": "Magazinweg 7",
"Mail": "king80@jourrapide.com"
},
{
"EmployeeID": 10018,
"Employees": "Rose Michael",
"Designation": "Project Lead",
"Location": "Canada",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 4,
"Software": 31,
"EmployeeImg": "userfemale",
"CurrentSalary": 91156,
"Address": "Fauntleroy Circus",
"Mail": "rose75@mail.com"
},
{
"EmployeeID": 10019,
"Employees": "King Bergs",
"Designation": "Developer",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 2,
"Software": 29,
"EmployeeImg": "userfemale",
"CurrentSalary": 28826,
"Address": "2817 Milton Dr.",
"Mail": "king57@jourrapide.com"
},
{
"EmployeeID": 10020,
"Employees": "Davolio Fuller",
"Designation": "Designer",
"Location": "Canada",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 3,
"Software": 35,
"EmployeeImg": "userfemale",
"CurrentSalary": 71035,
"Address": "Gran Vía, 1",
"Mail": "davolio29@arpy.com"
},
{
"EmployeeID": 10021,
"Employees": "Rose Rose",
"Designation": "CFO",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 38,
"EmployeeImg": "usermale",
"CurrentSalary": 68123,
"Address": "Rua do Mercado, 12",
"Mail": "rose54@arpy.com"
},
{
"EmployeeID": 10022,
"Employees": "Andrew Michael",
"Designation": "Program Directory",
"Location": "UK",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 2,
"Software": 61,
"EmployeeImg": "userfemale",
"CurrentSalary": 75470,
"Address": "2, rue du Commerce",
"Mail": "andrew88@jourrapide.com"
},
{
"EmployeeID": 10023,
"Employees": "Davolio Kathryn",
"Designation": "Manager",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 25,
"EmployeeImg": "usermale",
"CurrentSalary": 25234,
"Address": "Hauptstr. 31",
"Mail": "davolio42@sample.com"
},
{
"EmployeeID": 10024,
"Employees": "Anne Fleet",
"Designation": "System Analyst",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 0,
"EmployeeImg": "userfemale",
"CurrentSalary": 8341,
"Address": "59 rue de lAbbaye",
"Mail": "anne86@arpy.com"
},
{
"EmployeeID": 10025,
"Employees": "Margaret Andrew",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 51,
"EmployeeImg": "userfemale",
"CurrentSalary": 84975,
"Address": "P.O. Box 555",
"Mail": "margaret41@arpy.com"
},
{
"EmployeeID": 10026,
"Employees": "Kathryn Laura",
"Designation": "Project Lead",
"Location": "Austria",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 48,
"EmployeeImg": "usermale",
"CurrentSalary": 97282,
"Address": "Avda. Azteca 123",
"Mail": "kathryn82@rpy.com"
},
{
"EmployeeID": 10027,
"Employees": "Michael Michael",
"Designation": "Developer",
"Location": "UK",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 4,
"Software": 16,
"EmployeeImg": "usermale",
"CurrentSalary": 4184,
"Address": "Rua do Paço, 67",
"Mail": "michael58@jourrapide.com"
},
{
"EmployeeID": 10028,
"Employees": "Leverling Vinet",
"Designation": "Project Lead",
"Location": "Germany",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 57,
"EmployeeImg": "userfemale",
"CurrentSalary": 38370,
"Address": "59 rue de lAbbaye",
"Mail": "leverling102@sample.com"
},
{
"EmployeeID": 10029,
"Employees": "Rose Jack",
"Designation": "Developer",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 46,
"EmployeeImg": "userfemale",
"CurrentSalary": 84790,
"Address": "Rua do Mercado, 12",
"Mail": "rose108@jourrapide.com"
},
{
"EmployeeID": 10030,
"Employees": "Vinet Van",
"Designation": "Developer",
"Location": "USA",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 40,
"EmployeeImg": "usermale",
"CurrentSalary": 71005,
"Address": "Gran Vía, 1",
"Mail": "vinet90@jourrapide.com"
}
];/**
* Default data source
*/
export let defaultData: Object[] = [
{ 'Item Name': 'Casual Shoes', Date: '02/14/2014', Time: '11:34:32 AM', Quantity: 10, Price: 20, Amount: 200, Discount: 1, Profit: 10 },
{ 'Item Name': 'Sports Shoes', Date: '06/11/2014', Time: '05:56:32 AM', Quantity: 20, Price: 30, Amount: 600, Discount: 5, Profit: 50 },
{ 'Item Name': 'Formal Shoes', Date: '07/27/2014', Time: '03:32:44 AM', Quantity: 20, Price: 15, Amount: 300, Discount: 7, Profit: 27 },
{ 'Item Name': 'Sandals & Floaters', Date: '11/21/2014', Time: '06:23:54 AM', Quantity: 15, Price: 20, Amount: 300, Discount: 11, Profit: 67 },
{ 'Item Name': 'Flip- Flops & Slippers', Date: '06/23/2014', Time: '12:43:59 AM', Quantity: 30, Price: 10, Amount: 300, Discount: 10, Profit: 70 },
{ 'Item Name': 'Sneakers', Date: '07/22/2014', Time: '10:55:53 AM', Quantity: 40, Price: 20, Amount: 800, Discount: 13, Profit: 66 },
{ 'Item Name': 'Running Shoes', Date: '02/04/2014', Time: '03:44:34 AM', Quantity: 20, Price: 10, Amount: 200, Discount: 3, Profit: 14 },
{ 'Item Name': 'Loafers', Date: '11/30/2014', Time: '03:12:52 AM', Quantity: 31, Price: 10, Amount: 310, Discount: 6, Profit: 29 },
{ 'Item Name': 'Cricket Shoes', Date: '07/09/2014', Time: '11:32:14 AM', Quantity: 41, Price: 30, Amount: 1210, Discount: 12, Profit: 166 },
{ 'Item Name': 'T-Shirts', Date: '10/31/2014', Time: '12:01:44 AM', Quantity: 50, Price: 10, Amount: 500, Discount: 9, Profit: 55 },
];
/**
* Grid datasource
*/
export function getTradeData(dataCount?: number): object {
let employees: string[] = [
'Michael', 'Kathryn', 'Tamer', 'Martin', 'Davolio', 'Nancy', 'Fuller', 'Leverling', 'Peacock',
'Margaret', 'Buchanan', 'Janet', 'Andrew', 'Callahan', 'Laura', 'Dodsworth', 'Anne',
'Bergs', 'Vinet', 'Anton', 'Fleet', 'Zachery', 'Van', 'King', 'Jack', 'Rose'];
let designation: string[] = ['Manager', 'CFO', 'Designer', 'Developer', 'Program Directory', 'System Analyst', 'Project Lead'];
let mail: string[] = ['sample.com', 'arpy.com', 'rpy.com', 'mail.com', 'jourrapide.com'];
let location: string[] = ['UK', 'USA', 'Sweden', 'France', 'Canada', 'Argentina', 'Austria', 'Germany', 'Mexico'];
let status: string[] = ['Active', 'Inactive'];
let trustworthiness: string[] = ['Perfect', 'Sufficient', 'Insufficient'];
let tradeData: Object[] = [];
let address: string[] = ['59 rue de lAbbaye', 'Luisenstr. 48', 'Rua do Paço, 67', '2, rue du Commerce', 'Boulevard Tirou, 255',
'Rua do mailPaço, 67', 'Hauptstr. 31', 'Starenweg 5', 'Rua do Mercado, 12',
'Carrera 22 con Ave. Carlos Soublette #8-35', 'Kirchgasse 6',
'Sierras de Granada 9993', 'Mehrheimerstr. 369', 'Rua da Panificadora, 12', '2817 Milton Dr.', 'Kirchgasse 6',
'Åkergatan 24', '24, place Kléber', 'Torikatu 38', 'Berliner Platz 43', '5ª Ave. Los Palos Grandes', '1029 - 12th Ave. S.',
'Torikatu 38', 'P.O. Box 555', '2817 Milton Dr.', 'Taucherstraße 10', '59 rue de lAbbaye', 'Via Ludovico il Moro 22',
'Avda. Azteca 123', 'Heerstr. 22', 'Berguvsvägen 8', 'Magazinweg 7', 'Berguvsvägen 8', 'Gran Vía, 1', 'Gran Vía, 1',
'Carrera 52 con Ave. Bolívar #65-98 Llano Largo', 'Magazinweg 7', 'Taucherstraße 10', 'Taucherstraße 10',
'Av. Copacabana, 267', 'Strada Provinciale 124', 'Fauntleroy Circus', 'Av. dos Lusíadas, 23',
'Rua da Panificadora, 12', 'Av. Inês de Castro, 414', 'Avda. Azteca 123', '2817 Milton Dr.'];
let employeeimg: string[] = ['usermale', 'userfemale'];
if (typeof dataCount === 'string') {
dataCount = parseInt(dataCount, 10);
}
for (let i: number = 1; i <= dataCount; i++) {
let code: any = 10000;
tradeData.push({
'EmployeeID': code + i,
'Employees':
employees[Math.floor(Math.random() * employees.length)] + ' ' + employees[Math.floor(Math.random() * employees.length)],
'Designation': designation[Math.floor(Math.random() * designation.length)],
'Location': location[Math.floor(Math.random() * location.length)],
'Status': status[Math.floor(Math.random() * status.length)],
'Trustworthiness': trustworthiness[Math.floor(Math.random() * trustworthiness.length)],
'Rating': Math.floor(Math.random() * 5),
'Software': Math.floor(Math.random() * 100),
'EmployeeImg': employeeimg[Math.floor(Math.random() * employeeimg.length)],
'CurrentSalary': Math.floor((Math.random() * 100000)),
'Address': address[Math.floor(Math.random() * address.length)],
});
let employee: string = 'Employees';
let emp: string = tradeData[i - 1][employee];
let sName: string = emp.substr(0, emp.indexOf(' ')).toLowerCase();
let empmail: string = 'Mail';
tradeData[i - 1][empmail] = sName + (Math.floor(Math.random() * 100) + 10) + '@' + mail[Math.floor(Math.random() * mail.length)];
}
return tradeData;
}
export let tradeData: Object[] = [
{
"EmployeeID": 10001,
"Employees": "Laura Nancy",
"Designation": "Designer",
"Location": "France",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 69,
"EmployeeImg": "usermale",
"CurrentSalary": 84194,
"Address": "Taucherstraße 10",
"Mail": "laura15@jourrapide.com"
},
{
"EmployeeID": 10002,
"Employees": "Zachery Van",
"Designation": "CFO",
"Location": "Canada",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 99,
"EmployeeImg": "usermale",
"CurrentSalary": 55349,
"Address": "5ª Ave. Los Palos Grandes",
"Mail": "zachery109@sample.com"
},
{
"EmployeeID": 10003,
"Employees": "Rose Fuller",
"Designation": "CFO",
"Location": "France",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 1,
"EmployeeImg": "usermale",
"CurrentSalary": 16477,
"Address": "2817 Milton Dr.",
"Mail": "rose55@rpy.com"
},
{
"EmployeeID": 10004,
"Employees": "Jack Bergs",
"Designation": "Manager",
"Location": "Mexico",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 36,
"EmployeeImg": "usermale",
"CurrentSalary": 49040,
"Address": "2, rue du Commerce",
"Mail": "jack30@sample.com"
},
{
"EmployeeID": 10005,
"Employees": "Vinet Bergs",
"Designation": "Program Directory",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 39,
"EmployeeImg": "usermale",
"CurrentSalary": 5495,
"Address": "Rua da Panificadora, 12",
"Mail": "vinet32@jourrapide.com"
},
{
"EmployeeID": 10006,
"Employees": "Buchanan Van",
"Designation": "Designer",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 4,
"Software": 78,
"EmployeeImg": "usermale",
"CurrentSalary": 42182,
"Address": "24, place Kléber",
"Mail": "buchanan18@mail.com"
},
{
"EmployeeID": 10007,
"Employees": "Dodsworth Nancy",
"Designation": "Project Lead",
"Location": "USA",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 0,
"EmployeeImg": "userfemale",
"CurrentSalary": 35776,
"Address": "Rua do Paço, 67",
"Mail": "dodsworth84@mail.com"
},
{
"EmployeeID": 10008,
"Employees": "Laura Jack",
"Designation": "Developer",
"Location": "Austria",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 89,
"EmployeeImg": "usermale",
"CurrentSalary": 25108,
"Address": "Rua da Panificadora, 12",
"Mail": "laura82@mail.com"
},
{
"EmployeeID": 10009,
"Employees": "Anne Fuller",
"Designation": "Program Directory",
"Location": "Mexico",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 0,
"Software": 19,
"EmployeeImg": "userfemale",
"CurrentSalary": 32568,
"Address": "Gran Vía, 1",
"Mail": "anne97@jourrapide.com"
},
{
"EmployeeID": 10010,
"Employees": "Buchanan Andrew",
"Designation": "Designer",
"Location": "Austria",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 62,
"EmployeeImg": "userfemale",
"CurrentSalary": 12320,
"Address": "P.O. Box 555",
"Mail": "buchanan50@jourrapide.com"
},
{
"EmployeeID": 10011,
"Employees": "Andrew Janet",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 8,
"EmployeeImg": "userfemale",
"CurrentSalary": 20890,
"Address": "Starenweg 5",
"Mail": "andrew63@mail.com"
},
{
"EmployeeID": 10012,
"Employees": "Margaret Tamer",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 4,
"Software": 7,
"EmployeeImg": "userfemale",
"CurrentSalary": 22337,
"Address": "Magazinweg 7",
"Mail": "margaret26@mail.com"
},
{
"EmployeeID": 10013,
"Employees": "Tamer Fuller",
"Designation": "CFO",
"Location": "Canada",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 78,
"EmployeeImg": "usermale",
"CurrentSalary": 89181,
"Address": "Taucherstraße 10",
"Mail": "tamer40@arpy.com"
},
{
"EmployeeID": 10014,
"Employees": "Tamer Anne",
"Designation": "CFO",
"Location": "Sweden",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 18,
"EmployeeImg": "usermale",
"CurrentSalary": 20998,
"Address": "Taucherstraße 10",
"Mail": "tamer68@arpy.com"
},
{
"EmployeeID": 10015,
"Employees": "Anton Davolio",
"Designation": "Project Lead",
"Location": "France",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 4,
"Software": 8,
"EmployeeImg": "userfemale",
"CurrentSalary": 48232,
"Address": "Luisenstr. 48",
"Mail": "anton46@mail.com"
},
{
"EmployeeID": 10016,
"Employees": "Buchanan Buchanan",
"Designation": "System Analyst",
"Location": "Austria",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 19,
"EmployeeImg": "usermale",
"CurrentSalary": 43041,
"Address": "Carrera 52 con Ave. Bolívar #65-98 Llano Largo",
"Mail": "buchanan68@mail.com"
},
{
"EmployeeID": 10017,
"Employees": "King Buchanan",
"Designation": "Program Directory",
"Location": "Sweden",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 44,
"EmployeeImg": "userfemale",
"CurrentSalary": 25259,
"Address": "Magazinweg 7",
"Mail": "king80@jourrapide.com"
},
{
"EmployeeID": 10018,
"Employees": "Rose Michael",
"Designation": "Project Lead",
"Location": "Canada",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 4,
"Software": 31,
"EmployeeImg": "userfemale",
"CurrentSalary": 91156,
"Address": "Fauntleroy Circus",
"Mail": "rose75@mail.com"
},
{
"EmployeeID": 10019,
"Employees": "King Bergs",
"Designation": "Developer",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 2,
"Software": 29,
"EmployeeImg": "userfemale",
"CurrentSalary": 28826,
"Address": "2817 Milton Dr.",
"Mail": "king57@jourrapide.com"
},
{
"EmployeeID": 10020,
"Employees": "Davolio Fuller",
"Designation": "Designer",
"Location": "Canada",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 3,
"Software": 35,
"EmployeeImg": "userfemale",
"CurrentSalary": 71035,
"Address": "Gran Vía, 1",
"Mail": "davolio29@arpy.com"
},
{
"EmployeeID": 10021,
"Employees": "Rose Rose",
"Designation": "CFO",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 38,
"EmployeeImg": "usermale",
"CurrentSalary": 68123,
"Address": "Rua do Mercado, 12",
"Mail": "rose54@arpy.com"
},
{
"EmployeeID": 10022,
"Employees": "Andrew Michael",
"Designation": "Program Directory",
"Location": "UK",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 2,
"Software": 61,
"EmployeeImg": "userfemale",
"CurrentSalary": 75470,
"Address": "2, rue du Commerce",
"Mail": "andrew88@jourrapide.com"
},
{
"EmployeeID": 10023,
"Employees": "Davolio Kathryn",
"Designation": "Manager",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 25,
"EmployeeImg": "usermale",
"CurrentSalary": 25234,
"Address": "Hauptstr. 31",
"Mail": "davolio42@sample.com"
},
{
"EmployeeID": 10024,
"Employees": "Anne Fleet",
"Designation": "System Analyst",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 0,
"EmployeeImg": "userfemale",
"CurrentSalary": 8341,
"Address": "59 rue de lAbbaye",
"Mail": "anne86@arpy.com"
},
{
"EmployeeID": 10025,
"Employees": "Margaret Andrew",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 51,
"EmployeeImg": "userfemale",
"CurrentSalary": 84975,
"Address": "P.O. Box 555",
"Mail": "margaret41@arpy.com"
},
{
"EmployeeID": 10026,
"Employees": "Kathryn Laura",
"Designation": "Project Lead",
"Location": "Austria",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 48,
"EmployeeImg": "usermale",
"CurrentSalary": 97282,
"Address": "Avda. Azteca 123",
"Mail": "kathryn82@rpy.com"
},
{
"EmployeeID": 10027,
"Employees": "Michael Michael",
"Designation": "Developer",
"Location": "UK",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 4,
"Software": 16,
"EmployeeImg": "usermale",
"CurrentSalary": 4184,
"Address": "Rua do Paço, 67",
"Mail": "michael58@jourrapide.com"
},
{
"EmployeeID": 10028,
"Employees": "Leverling Vinet",
"Designation": "Project Lead",
"Location": "Germany",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 57,
"EmployeeImg": "userfemale",
"CurrentSalary": 38370,
"Address": "59 rue de lAbbaye",
"Mail": "leverling102@sample.com"
},
{
"EmployeeID": 10029,
"Employees": "Rose Jack",
"Designation": "Developer",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 46,
"EmployeeImg": "userfemale",
"CurrentSalary": 84790,
"Address": "Rua do Mercado, 12",
"Mail": "rose108@jourrapide.com"
},
{
"EmployeeID": 10030,
"Employees": "Vinet Van",
"Designation": "Developer",
"Location": "USA",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 40,
"EmployeeImg": "usermale",
"CurrentSalary": 71005,
"Address": "Gran Vía, 1",
"Mail": "vinet90@jourrapide.com"
}
]Supported file formats
The following list of Excel file formats are supported in Spreadsheet:
- MS Excel (.xlsx)
- MS Excel 97-2003 (.xls)
- Comma Separated Values (.csv)
- Portable Document Format (.pdf)
Methods
To save the Spreadsheet document as an xlsx, xls, csv, or pdf file, by using save method should be called with the url, fileName and saveType as parameters. The following code example shows to save the spreadsheet file as an xlsx, xls, csv, or pdf in the button click event.
import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent, SheetsDirective, SheetDirective, RangesDirective } from '@syncfusion/ej2-react-spreadsheet';
import { RangeDirective, ColumnsDirective, ColumnDirective } from '@syncfusion/ej2-react-spreadsheet';
import { DropDownButtonComponent } from '@syncfusion/ej2-react-splitbuttons';
import { defaultData } from './datasource';
function App() {
const spreadsheetRef = React.useRef(null);
const items = [
{ text: "Save As xlsx" },
{ text: "Save As xls" },
{ text: "Save As csv" },
{ text: "Save As pdf" }
];
const itemSelect = (args) => {
let spreadsheet = spreadsheetRef.current;
if (spreadsheet) {
if (args.item.text === 'Save As xlsx')
spreadsheet.save({ url: 'https://services.syncfusion.com/react/production/api/spreadsheet/save', fileName: "Sample", saveType: "Xlsx" });
if (args.item.text === 'Save As xls')
spreadsheet.save({ url: 'https://services.syncfusion.com/react/production/api/spreadsheet/save', fileName: "Sample", saveType: "Xls" });
if (args.item.text === 'Save As csv')
spreadsheet.save({ url: 'https://services.syncfusion.com/react/production/api/spreadsheet/save', fileName: "Sample", saveType: "Csv" });
if (args.item.text === 'Save As pdf')
spreadsheet.save({ url: 'https://services.syncfusion.com/react/production/api/spreadsheet/save', fileName: "Sample", saveType: "Pdf" });
}
};
return (
<div>
<DropDownButtonComponent items={items} select={itemSelect}> Save </DropDownButtonComponent>
<SpreadsheetComponent ref={spreadsheetRef} >
<SheetsDirective>
<SheetDirective>
<RangesDirective>
<RangeDirective dataSource={defaultData}></RangeDirective>
</RangesDirective>
<ColumnsDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
</ColumnsDirective>
</SheetDirective>
</SheetsDirective>
</SpreadsheetComponent>
</div>
);
};
export default App;
const root = createRoot(document.getElementById('root'));
root.render(<App />);import * as React from 'react';
import { createRoot } from 'react-dom/client';
import { SpreadsheetComponent, SheetsDirective, SheetDirective, RangesDirective } from '@syncfusion/ej2-react-spreadsheet';
import { RangeDirective, ColumnsDirective, ColumnDirective } from '@syncfusion/ej2-react-spreadsheet';
import { DropDownButtonComponent, ItemModel, MenuEventArgs } from '@syncfusion/ej2-react-splitbuttons';
import { defaultData } from './datasource';
function App() {
const spreadsheetRef = React.useRef<SpreadsheetComponent>(null);
const items: ItemModel[] = [
{ text: "Save As xlsx" },
{ text: "Save As xls" },
{ text: "Save As csv" },
{ text: "Save As pdf" }
];
const itemSelect = (args: MenuEventArgs): void => {
let spreadsheet = spreadsheetRef.current;
if (spreadsheet) {
if (args.item.text === 'Save As xlsx')
spreadsheet.save({ url: 'https://services.syncfusion.com/react/production/api/spreadsheet/save', fileName: "Sample", saveType: "Xlsx" });
if (args.item.text === 'Save As xls')
spreadsheet.save({ url: 'https://services.syncfusion.com/react/production/api/spreadsheet/save', fileName: "Sample", saveType: "Xls" });
if (args.item.text === 'Save As csv')
spreadsheet.save({ url: 'https://services.syncfusion.com/react/production/api/spreadsheet/save', fileName: "Sample", saveType: "Csv" });
if (args.item.text === 'Save As pdf')
spreadsheet.save({ url: 'https://services.syncfusion.com/react/production/api/spreadsheet/save', fileName: "Sample", saveType: "Pdf" });
}
};
return (
<div>
<DropDownButtonComponent items={items} select={itemSelect}> Save </DropDownButtonComponent>
<SpreadsheetComponent ref={spreadsheetRef} >
<SheetsDirective>
<SheetDirective>
<RangesDirective>
<RangeDirective dataSource={defaultData}></RangeDirective>
</RangesDirective>
<ColumnsDirective>
<ColumnDirective width={180}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
<ColumnDirective width={130}></ColumnDirective>
</ColumnsDirective>
</SheetDirective>
</SheetsDirective>
</SpreadsheetComponent>
</div>
);
};
export default App;
const root = createRoot(document.getElementById('root')!);
root.render(<App />);/**
* Default data source
*/
export let defaultData = [
{ 'Item Name': 'Casual Shoes', Date: '02/14/2014', Time: '11:34:32 AM', Quantity: 10, Price: 20, Amount: 200, Discount: 1, Profit: 10 },
{ 'Item Name': 'Sports Shoes', Date: '06/11/2014', Time: '05:56:32 AM', Quantity: 20, Price: 30, Amount: 600, Discount: 5, Profit: 50 },
{ 'Item Name': 'Formal Shoes', Date: '07/27/2014', Time: '03:32:44 AM', Quantity: 20, Price: 15, Amount: 300, Discount: 7, Profit: 27 },
{ 'Item Name': 'Sandals & Floaters', Date: '11/21/2014', Time: '06:23:54 AM', Quantity: 15, Price: 20, Amount: 300, Discount: 11, Profit: 67 },
{ 'Item Name': 'Flip- Flops & Slippers', Date: '06/23/2014', Time: '12:43:59 AM', Quantity: 30, Price: 10, Amount: 300, Discount: 10, Profit: 70 },
{ 'Item Name': 'Sneakers', Date: '07/22/2014', Time: '10:55:53 AM', Quantity: 40, Price: 20, Amount: 800, Discount: 13, Profit: 66 },
{ 'Item Name': 'Running Shoes', Date: '02/04/2014', Time: '03:44:34 AM', Quantity: 20, Price: 10, Amount: 200, Discount: 3, Profit: 14 },
{ 'Item Name': 'Loafers', Date: '11/30/2014', Time: '03:12:52 AM', Quantity: 31, Price: 10, Amount: 310, Discount: 6, Profit: 29 },
{ 'Item Name': 'Cricket Shoes', Date: '07/09/2014', Time: '11:32:14 AM', Quantity: 41, Price: 30, Amount: 1210, Discount: 12, Profit: 166 },
{ 'Item Name': 'T-Shirts', Date: '10/31/2014', Time: '12:01:44 AM', Quantity: 50, Price: 10, Amount: 500, Discount: 9, Profit: 55 },
];
/**
* Grid datasource
*/
export function getTradeData(dataCount) {
let employees = [
'Michael', 'Kathryn', 'Tamer', 'Martin', 'Davolio', 'Nancy', 'Fuller', 'Leverling', 'Peacock',
'Margaret', 'Buchanan', 'Janet', 'Andrew', 'Callahan', 'Laura', 'Dodsworth', 'Anne',
'Bergs', 'Vinet', 'Anton', 'Fleet', 'Zachery', 'Van', 'King', 'Jack', 'Rose'
];
let designation = ['Manager', 'CFO', 'Designer', 'Developer', 'Program Directory', 'System Analyst', 'Project Lead'];
let mail = ['sample.com', 'arpy.com', 'rpy.com', 'mail.com', 'jourrapide.com'];
let location = ['UK', 'USA', 'Sweden', 'France', 'Canada', 'Argentina', 'Austria', 'Germany', 'Mexico'];
let status = ['Active', 'Inactive'];
let trustworthiness = ['Perfect', 'Sufficient', 'Insufficient'];
let tradeData = [];
let address = ['59 rue de lAbbaye', 'Luisenstr. 48', 'Rua do Paço, 67', '2, rue du Commerce', 'Boulevard Tirou, 255',
'Rua do mailPaço, 67', 'Hauptstr. 31', 'Starenweg 5', 'Rua do Mercado, 12',
'Carrera 22 con Ave. Carlos Soublette #8-35', 'Kirchgasse 6',
'Sierras de Granada 9993', 'Mehrheimerstr. 369', 'Rua da Panificadora, 12', '2817 Milton Dr.', 'Kirchgasse 6',
'Åkergatan 24', '24, place Kléber', 'Torikatu 38', 'Berliner Platz 43', '5ª Ave. Los Palos Grandes', '1029 - 12th Ave. S.',
'Torikatu 38', 'P.O. Box 555', '2817 Milton Dr.', 'Taucherstraße 10', '59 rue de lAbbaye', 'Via Ludovico il Moro 22',
'Avda. Azteca 123', 'Heerstr. 22', 'Berguvsvägen 8', 'Magazinweg 7', 'Berguvsvägen 8', 'Gran Vía, 1', 'Gran Vía, 1',
'Carrera 52 con Ave. Bolívar #65-98 Llano Largo', 'Magazinweg 7', 'Taucherstraße 10', 'Taucherstraße 10',
'Av. Copacabana, 267', 'Strada Provinciale 124', 'Fauntleroy Circus', 'Av. dos Lusíadas, 23',
'Rua da Panificadora, 12', 'Av. Inês de Castro, 414', 'Avda. Azteca 123', '2817 Milton Dr.'];
let employeeimg = ['usermale', 'userfemale'];
if (typeof dataCount === 'string') {
dataCount = parseInt(dataCount, 10);
}
for (let i = 1; i <= dataCount; i++) {
let code = 10000;
tradeData.push({
'EmployeeID': code + i,
'Employees': employees[Math.floor(Math.random() * employees.length)] + ' ' + employees[Math.floor(Math.random() * employees.length)],
'Designation': designation[Math.floor(Math.random() * designation.length)],
'Location': location[Math.floor(Math.random() * location.length)],
'Status': status[Math.floor(Math.random() * status.length)],
'Trustworthiness': trustworthiness[Math.floor(Math.random() * trustworthiness.length)],
'Rating': Math.floor(Math.random() * 5),
'Software': Math.floor(Math.random() * 100),
'EmployeeImg': employeeimg[Math.floor(Math.random() * employeeimg.length)],
'CurrentSalary': Math.floor((Math.random() * 100000)),
'Address': address[Math.floor(Math.random() * address.length)],
});
let employee = 'Employees';
let emp = tradeData[i - 1][employee];
let sName = emp.substr(0, emp.indexOf(' ')).toLowerCase();
let empmail = 'Mail';
tradeData[i - 1][empmail] = sName + (Math.floor(Math.random() * 100) + 10) + '@' + mail[Math.floor(Math.random() * mail.length)];
}
return tradeData;
}
export let tradeData = [
{
"EmployeeID": 10001,
"Employees": "Laura Nancy",
"Designation": "Designer",
"Location": "France",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 69,
"EmployeeImg": "usermale",
"CurrentSalary": 84194,
"Address": "Taucherstraße 10",
"Mail": "laura15@jourrapide.com"
},
{
"EmployeeID": 10002,
"Employees": "Zachery Van",
"Designation": "CFO",
"Location": "Canada",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 99,
"EmployeeImg": "usermale",
"CurrentSalary": 55349,
"Address": "5ª Ave. Los Palos Grandes",
"Mail": "zachery109@sample.com"
},
{
"EmployeeID": 10003,
"Employees": "Rose Fuller",
"Designation": "CFO",
"Location": "France",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 1,
"EmployeeImg": "usermale",
"CurrentSalary": 16477,
"Address": "2817 Milton Dr.",
"Mail": "rose55@rpy.com"
},
{
"EmployeeID": 10004,
"Employees": "Jack Bergs",
"Designation": "Manager",
"Location": "Mexico",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 36,
"EmployeeImg": "usermale",
"CurrentSalary": 49040,
"Address": "2, rue du Commerce",
"Mail": "jack30@sample.com"
},
{
"EmployeeID": 10005,
"Employees": "Vinet Bergs",
"Designation": "Program Directory",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 39,
"EmployeeImg": "usermale",
"CurrentSalary": 5495,
"Address": "Rua da Panificadora, 12",
"Mail": "vinet32@jourrapide.com"
},
{
"EmployeeID": 10006,
"Employees": "Buchanan Van",
"Designation": "Designer",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 4,
"Software": 78,
"EmployeeImg": "usermale",
"CurrentSalary": 42182,
"Address": "24, place Kléber",
"Mail": "buchanan18@mail.com"
},
{
"EmployeeID": 10007,
"Employees": "Dodsworth Nancy",
"Designation": "Project Lead",
"Location": "USA",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 0,
"EmployeeImg": "userfemale",
"CurrentSalary": 35776,
"Address": "Rua do Paço, 67",
"Mail": "dodsworth84@mail.com"
},
{
"EmployeeID": 10008,
"Employees": "Laura Jack",
"Designation": "Developer",
"Location": "Austria",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 89,
"EmployeeImg": "usermale",
"CurrentSalary": 25108,
"Address": "Rua da Panificadora, 12",
"Mail": "laura82@mail.com"
},
{
"EmployeeID": 10009,
"Employees": "Anne Fuller",
"Designation": "Program Directory",
"Location": "Mexico",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 0,
"Software": 19,
"EmployeeImg": "userfemale",
"CurrentSalary": 32568,
"Address": "Gran Vía, 1",
"Mail": "anne97@jourrapide.com"
},
{
"EmployeeID": 10010,
"Employees": "Buchanan Andrew",
"Designation": "Designer",
"Location": "Austria",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 62,
"EmployeeImg": "userfemale",
"CurrentSalary": 12320,
"Address": "P.O. Box 555",
"Mail": "buchanan50@jourrapide.com"
},
{
"EmployeeID": 10011,
"Employees": "Andrew Janet",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 8,
"EmployeeImg": "userfemale",
"CurrentSalary": 20890,
"Address": "Starenweg 5",
"Mail": "andrew63@mail.com"
},
{
"EmployeeID": 10012,
"Employees": "Margaret Tamer",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 4,
"Software": 7,
"EmployeeImg": "userfemale",
"CurrentSalary": 22337,
"Address": "Magazinweg 7",
"Mail": "margaret26@mail.com"
},
{
"EmployeeID": 10013,
"Employees": "Tamer Fuller",
"Designation": "CFO",
"Location": "Canada",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 78,
"EmployeeImg": "usermale",
"CurrentSalary": 89181,
"Address": "Taucherstraße 10",
"Mail": "tamer40@arpy.com"
},
{
"EmployeeID": 10014,
"Employees": "Tamer Anne",
"Designation": "CFO",
"Location": "Sweden",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 18,
"EmployeeImg": "usermale",
"CurrentSalary": 20998,
"Address": "Taucherstraße 10",
"Mail": "tamer68@arpy.com"
},
{
"EmployeeID": 10015,
"Employees": "Anton Davolio",
"Designation": "Project Lead",
"Location": "France",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 4,
"Software": 8,
"EmployeeImg": "userfemale",
"CurrentSalary": 48232,
"Address": "Luisenstr. 48",
"Mail": "anton46@mail.com"
},
{
"EmployeeID": 10016,
"Employees": "Buchanan Buchanan",
"Designation": "System Analyst",
"Location": "Austria",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 19,
"EmployeeImg": "usermale",
"CurrentSalary": 43041,
"Address": "Carrera 52 con Ave. Bolívar #65-98 Llano Largo",
"Mail": "buchanan68@mail.com"
},
{
"EmployeeID": 10017,
"Employees": "King Buchanan",
"Designation": "Program Directory",
"Location": "Sweden",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 44,
"EmployeeImg": "userfemale",
"CurrentSalary": 25259,
"Address": "Magazinweg 7",
"Mail": "king80@jourrapide.com"
},
{
"EmployeeID": 10018,
"Employees": "Rose Michael",
"Designation": "Project Lead",
"Location": "Canada",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 4,
"Software": 31,
"EmployeeImg": "userfemale",
"CurrentSalary": 91156,
"Address": "Fauntleroy Circus",
"Mail": "rose75@mail.com"
},
{
"EmployeeID": 10019,
"Employees": "King Bergs",
"Designation": "Developer",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 2,
"Software": 29,
"EmployeeImg": "userfemale",
"CurrentSalary": 28826,
"Address": "2817 Milton Dr.",
"Mail": "king57@jourrapide.com"
},
{
"EmployeeID": 10020,
"Employees": "Davolio Fuller",
"Designation": "Designer",
"Location": "Canada",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 3,
"Software": 35,
"EmployeeImg": "userfemale",
"CurrentSalary": 71035,
"Address": "Gran Vía, 1",
"Mail": "davolio29@arpy.com"
},
{
"EmployeeID": 10021,
"Employees": "Rose Rose",
"Designation": "CFO",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 38,
"EmployeeImg": "usermale",
"CurrentSalary": 68123,
"Address": "Rua do Mercado, 12",
"Mail": "rose54@arpy.com"
},
{
"EmployeeID": 10022,
"Employees": "Andrew Michael",
"Designation": "Program Directory",
"Location": "UK",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 2,
"Software": 61,
"EmployeeImg": "userfemale",
"CurrentSalary": 75470,
"Address": "2, rue du Commerce",
"Mail": "andrew88@jourrapide.com"
},
{
"EmployeeID": 10023,
"Employees": "Davolio Kathryn",
"Designation": "Manager",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 25,
"EmployeeImg": "usermale",
"CurrentSalary": 25234,
"Address": "Hauptstr. 31",
"Mail": "davolio42@sample.com"
},
{
"EmployeeID": 10024,
"Employees": "Anne Fleet",
"Designation": "System Analyst",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 0,
"EmployeeImg": "userfemale",
"CurrentSalary": 8341,
"Address": "59 rue de lAbbaye",
"Mail": "anne86@arpy.com"
},
{
"EmployeeID": 10025,
"Employees": "Margaret Andrew",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 51,
"EmployeeImg": "userfemale",
"CurrentSalary": 84975,
"Address": "P.O. Box 555",
"Mail": "margaret41@arpy.com"
},
{
"EmployeeID": 10026,
"Employees": "Kathryn Laura",
"Designation": "Project Lead",
"Location": "Austria",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 48,
"EmployeeImg": "usermale",
"CurrentSalary": 97282,
"Address": "Avda. Azteca 123",
"Mail": "kathryn82@rpy.com"
},
{
"EmployeeID": 10027,
"Employees": "Michael Michael",
"Designation": "Developer",
"Location": "UK",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 4,
"Software": 16,
"EmployeeImg": "usermale",
"CurrentSalary": 4184,
"Address": "Rua do Paço, 67",
"Mail": "michael58@jourrapide.com"
},
{
"EmployeeID": 10028,
"Employees": "Leverling Vinet",
"Designation": "Project Lead",
"Location": "Germany",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 57,
"EmployeeImg": "userfemale",
"CurrentSalary": 38370,
"Address": "59 rue de lAbbaye",
"Mail": "leverling102@sample.com"
},
{
"EmployeeID": 10029,
"Employees": "Rose Jack",
"Designation": "Developer",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 46,
"EmployeeImg": "userfemale",
"CurrentSalary": 84790,
"Address": "Rua do Mercado, 12",
"Mail": "rose108@jourrapide.com"
},
{
"EmployeeID": 10030,
"Employees": "Vinet Van",
"Designation": "Developer",
"Location": "USA",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 40,
"EmployeeImg": "usermale",
"CurrentSalary": 71005,
"Address": "Gran Vía, 1",
"Mail": "vinet90@jourrapide.com"
}
];/**
* Default data source
*/
export let defaultData: Object[] = [
{ 'Item Name': 'Casual Shoes', Date: '02/14/2014', Time: '11:34:32 AM', Quantity: 10, Price: 20, Amount: 200, Discount: 1, Profit: 10 },
{ 'Item Name': 'Sports Shoes', Date: '06/11/2014', Time: '05:56:32 AM', Quantity: 20, Price: 30, Amount: 600, Discount: 5, Profit: 50 },
{ 'Item Name': 'Formal Shoes', Date: '07/27/2014', Time: '03:32:44 AM', Quantity: 20, Price: 15, Amount: 300, Discount: 7, Profit: 27 },
{ 'Item Name': 'Sandals & Floaters', Date: '11/21/2014', Time: '06:23:54 AM', Quantity: 15, Price: 20, Amount: 300, Discount: 11, Profit: 67 },
{ 'Item Name': 'Flip- Flops & Slippers', Date: '06/23/2014', Time: '12:43:59 AM', Quantity: 30, Price: 10, Amount: 300, Discount: 10, Profit: 70 },
{ 'Item Name': 'Sneakers', Date: '07/22/2014', Time: '10:55:53 AM', Quantity: 40, Price: 20, Amount: 800, Discount: 13, Profit: 66 },
{ 'Item Name': 'Running Shoes', Date: '02/04/2014', Time: '03:44:34 AM', Quantity: 20, Price: 10, Amount: 200, Discount: 3, Profit: 14 },
{ 'Item Name': 'Loafers', Date: '11/30/2014', Time: '03:12:52 AM', Quantity: 31, Price: 10, Amount: 310, Discount: 6, Profit: 29 },
{ 'Item Name': 'Cricket Shoes', Date: '07/09/2014', Time: '11:32:14 AM', Quantity: 41, Price: 30, Amount: 1210, Discount: 12, Profit: 166 },
{ 'Item Name': 'T-Shirts', Date: '10/31/2014', Time: '12:01:44 AM', Quantity: 50, Price: 10, Amount: 500, Discount: 9, Profit: 55 },
];
/**
* Grid datasource
*/
export function getTradeData(dataCount?: number): object {
let employees: string[] = [
'Michael', 'Kathryn', 'Tamer', 'Martin', 'Davolio', 'Nancy', 'Fuller', 'Leverling', 'Peacock',
'Margaret', 'Buchanan', 'Janet', 'Andrew', 'Callahan', 'Laura', 'Dodsworth', 'Anne',
'Bergs', 'Vinet', 'Anton', 'Fleet', 'Zachery', 'Van', 'King', 'Jack', 'Rose'];
let designation: string[] = ['Manager', 'CFO', 'Designer', 'Developer', 'Program Directory', 'System Analyst', 'Project Lead'];
let mail: string[] = ['sample.com', 'arpy.com', 'rpy.com', 'mail.com', 'jourrapide.com'];
let location: string[] = ['UK', 'USA', 'Sweden', 'France', 'Canada', 'Argentina', 'Austria', 'Germany', 'Mexico'];
let status: string[] = ['Active', 'Inactive'];
let trustworthiness: string[] = ['Perfect', 'Sufficient', 'Insufficient'];
let tradeData: Object[] = [];
let address: string[] = ['59 rue de lAbbaye', 'Luisenstr. 48', 'Rua do Paço, 67', '2, rue du Commerce', 'Boulevard Tirou, 255',
'Rua do mailPaço, 67', 'Hauptstr. 31', 'Starenweg 5', 'Rua do Mercado, 12',
'Carrera 22 con Ave. Carlos Soublette #8-35', 'Kirchgasse 6',
'Sierras de Granada 9993', 'Mehrheimerstr. 369', 'Rua da Panificadora, 12', '2817 Milton Dr.', 'Kirchgasse 6',
'Åkergatan 24', '24, place Kléber', 'Torikatu 38', 'Berliner Platz 43', '5ª Ave. Los Palos Grandes', '1029 - 12th Ave. S.',
'Torikatu 38', 'P.O. Box 555', '2817 Milton Dr.', 'Taucherstraße 10', '59 rue de lAbbaye', 'Via Ludovico il Moro 22',
'Avda. Azteca 123', 'Heerstr. 22', 'Berguvsvägen 8', 'Magazinweg 7', 'Berguvsvägen 8', 'Gran Vía, 1', 'Gran Vía, 1',
'Carrera 52 con Ave. Bolívar #65-98 Llano Largo', 'Magazinweg 7', 'Taucherstraße 10', 'Taucherstraße 10',
'Av. Copacabana, 267', 'Strada Provinciale 124', 'Fauntleroy Circus', 'Av. dos Lusíadas, 23',
'Rua da Panificadora, 12', 'Av. Inês de Castro, 414', 'Avda. Azteca 123', '2817 Milton Dr.'];
let employeeimg: string[] = ['usermale', 'userfemale'];
if (typeof dataCount === 'string') {
dataCount = parseInt(dataCount, 10);
}
for (let i: number = 1; i <= dataCount; i++) {
let code: any = 10000;
tradeData.push({
'EmployeeID': code + i,
'Employees':
employees[Math.floor(Math.random() * employees.length)] + ' ' + employees[Math.floor(Math.random() * employees.length)],
'Designation': designation[Math.floor(Math.random() * designation.length)],
'Location': location[Math.floor(Math.random() * location.length)],
'Status': status[Math.floor(Math.random() * status.length)],
'Trustworthiness': trustworthiness[Math.floor(Math.random() * trustworthiness.length)],
'Rating': Math.floor(Math.random() * 5),
'Software': Math.floor(Math.random() * 100),
'EmployeeImg': employeeimg[Math.floor(Math.random() * employeeimg.length)],
'CurrentSalary': Math.floor((Math.random() * 100000)),
'Address': address[Math.floor(Math.random() * address.length)],
});
let employee: string = 'Employees';
let emp: string = tradeData[i - 1][employee];
let sName: string = emp.substr(0, emp.indexOf(' ')).toLowerCase();
let empmail: string = 'Mail';
tradeData[i - 1][empmail] = sName + (Math.floor(Math.random() * 100) + 10) + '@' + mail[Math.floor(Math.random() * mail.length)];
}
return tradeData;
}
export let tradeData: Object[] = [
{
"EmployeeID": 10001,
"Employees": "Laura Nancy",
"Designation": "Designer",
"Location": "France",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 69,
"EmployeeImg": "usermale",
"CurrentSalary": 84194,
"Address": "Taucherstraße 10",
"Mail": "laura15@jourrapide.com"
},
{
"EmployeeID": 10002,
"Employees": "Zachery Van",
"Designation": "CFO",
"Location": "Canada",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 99,
"EmployeeImg": "usermale",
"CurrentSalary": 55349,
"Address": "5ª Ave. Los Palos Grandes",
"Mail": "zachery109@sample.com"
},
{
"EmployeeID": 10003,
"Employees": "Rose Fuller",
"Designation": "CFO",
"Location": "France",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 1,
"EmployeeImg": "usermale",
"CurrentSalary": 16477,
"Address": "2817 Milton Dr.",
"Mail": "rose55@rpy.com"
},
{
"EmployeeID": 10004,
"Employees": "Jack Bergs",
"Designation": "Manager",
"Location": "Mexico",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 36,
"EmployeeImg": "usermale",
"CurrentSalary": 49040,
"Address": "2, rue du Commerce",
"Mail": "jack30@sample.com"
},
{
"EmployeeID": 10005,
"Employees": "Vinet Bergs",
"Designation": "Program Directory",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 39,
"EmployeeImg": "usermale",
"CurrentSalary": 5495,
"Address": "Rua da Panificadora, 12",
"Mail": "vinet32@jourrapide.com"
},
{
"EmployeeID": 10006,
"Employees": "Buchanan Van",
"Designation": "Designer",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 4,
"Software": 78,
"EmployeeImg": "usermale",
"CurrentSalary": 42182,
"Address": "24, place Kléber",
"Mail": "buchanan18@mail.com"
},
{
"EmployeeID": 10007,
"Employees": "Dodsworth Nancy",
"Designation": "Project Lead",
"Location": "USA",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 0,
"EmployeeImg": "userfemale",
"CurrentSalary": 35776,
"Address": "Rua do Paço, 67",
"Mail": "dodsworth84@mail.com"
},
{
"EmployeeID": 10008,
"Employees": "Laura Jack",
"Designation": "Developer",
"Location": "Austria",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 89,
"EmployeeImg": "usermale",
"CurrentSalary": 25108,
"Address": "Rua da Panificadora, 12",
"Mail": "laura82@mail.com"
},
{
"EmployeeID": 10009,
"Employees": "Anne Fuller",
"Designation": "Program Directory",
"Location": "Mexico",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 0,
"Software": 19,
"EmployeeImg": "userfemale",
"CurrentSalary": 32568,
"Address": "Gran Vía, 1",
"Mail": "anne97@jourrapide.com"
},
{
"EmployeeID": 10010,
"Employees": "Buchanan Andrew",
"Designation": "Designer",
"Location": "Austria",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 1,
"Software": 62,
"EmployeeImg": "userfemale",
"CurrentSalary": 12320,
"Address": "P.O. Box 555",
"Mail": "buchanan50@jourrapide.com"
},
{
"EmployeeID": 10011,
"Employees": "Andrew Janet",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 8,
"EmployeeImg": "userfemale",
"CurrentSalary": 20890,
"Address": "Starenweg 5",
"Mail": "andrew63@mail.com"
},
{
"EmployeeID": 10012,
"Employees": "Margaret Tamer",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 4,
"Software": 7,
"EmployeeImg": "userfemale",
"CurrentSalary": 22337,
"Address": "Magazinweg 7",
"Mail": "margaret26@mail.com"
},
{
"EmployeeID": 10013,
"Employees": "Tamer Fuller",
"Designation": "CFO",
"Location": "Canada",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 78,
"EmployeeImg": "usermale",
"CurrentSalary": 89181,
"Address": "Taucherstraße 10",
"Mail": "tamer40@arpy.com"
},
{
"EmployeeID": 10014,
"Employees": "Tamer Anne",
"Designation": "CFO",
"Location": "Sweden",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 18,
"EmployeeImg": "usermale",
"CurrentSalary": 20998,
"Address": "Taucherstraße 10",
"Mail": "tamer68@arpy.com"
},
{
"EmployeeID": 10015,
"Employees": "Anton Davolio",
"Designation": "Project Lead",
"Location": "France",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 4,
"Software": 8,
"EmployeeImg": "userfemale",
"CurrentSalary": 48232,
"Address": "Luisenstr. 48",
"Mail": "anton46@mail.com"
},
{
"EmployeeID": 10016,
"Employees": "Buchanan Buchanan",
"Designation": "System Analyst",
"Location": "Austria",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 19,
"EmployeeImg": "usermale",
"CurrentSalary": 43041,
"Address": "Carrera 52 con Ave. Bolívar #65-98 Llano Largo",
"Mail": "buchanan68@mail.com"
},
{
"EmployeeID": 10017,
"Employees": "King Buchanan",
"Designation": "Program Directory",
"Location": "Sweden",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 44,
"EmployeeImg": "userfemale",
"CurrentSalary": 25259,
"Address": "Magazinweg 7",
"Mail": "king80@jourrapide.com"
},
{
"EmployeeID": 10018,
"Employees": "Rose Michael",
"Designation": "Project Lead",
"Location": "Canada",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 4,
"Software": 31,
"EmployeeImg": "userfemale",
"CurrentSalary": 91156,
"Address": "Fauntleroy Circus",
"Mail": "rose75@mail.com"
},
{
"EmployeeID": 10019,
"Employees": "King Bergs",
"Designation": "Developer",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 2,
"Software": 29,
"EmployeeImg": "userfemale",
"CurrentSalary": 28826,
"Address": "2817 Milton Dr.",
"Mail": "king57@jourrapide.com"
},
{
"EmployeeID": 10020,
"Employees": "Davolio Fuller",
"Designation": "Designer",
"Location": "Canada",
"Status": "Inactive",
"Trustworthiness": "Sufficient",
"Rating": 3,
"Software": 35,
"EmployeeImg": "userfemale",
"CurrentSalary": 71035,
"Address": "Gran Vía, 1",
"Mail": "davolio29@arpy.com"
},
{
"EmployeeID": 10021,
"Employees": "Rose Rose",
"Designation": "CFO",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 38,
"EmployeeImg": "usermale",
"CurrentSalary": 68123,
"Address": "Rua do Mercado, 12",
"Mail": "rose54@arpy.com"
},
{
"EmployeeID": 10022,
"Employees": "Andrew Michael",
"Designation": "Program Directory",
"Location": "UK",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 2,
"Software": 61,
"EmployeeImg": "userfemale",
"CurrentSalary": 75470,
"Address": "2, rue du Commerce",
"Mail": "andrew88@jourrapide.com"
},
{
"EmployeeID": 10023,
"Employees": "Davolio Kathryn",
"Designation": "Manager",
"Location": "Germany",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 25,
"EmployeeImg": "usermale",
"CurrentSalary": 25234,
"Address": "Hauptstr. 31",
"Mail": "davolio42@sample.com"
},
{
"EmployeeID": 10024,
"Employees": "Anne Fleet",
"Designation": "System Analyst",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 3,
"Software": 0,
"EmployeeImg": "userfemale",
"CurrentSalary": 8341,
"Address": "59 rue de lAbbaye",
"Mail": "anne86@arpy.com"
},
{
"EmployeeID": 10025,
"Employees": "Margaret Andrew",
"Designation": "System Analyst",
"Location": "Germany",
"Status": "Inactive",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 51,
"EmployeeImg": "userfemale",
"CurrentSalary": 84975,
"Address": "P.O. Box 555",
"Mail": "margaret41@arpy.com"
},
{
"EmployeeID": 10026,
"Employees": "Kathryn Laura",
"Designation": "Project Lead",
"Location": "Austria",
"Status": "Active",
"Trustworthiness": "Insufficient",
"Rating": 3,
"Software": 48,
"EmployeeImg": "usermale",
"CurrentSalary": 97282,
"Address": "Avda. Azteca 123",
"Mail": "kathryn82@rpy.com"
},
{
"EmployeeID": 10027,
"Employees": "Michael Michael",
"Designation": "Developer",
"Location": "UK",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 4,
"Software": 16,
"EmployeeImg": "usermale",
"CurrentSalary": 4184,
"Address": "Rua do Paço, 67",
"Mail": "michael58@jourrapide.com"
},
{
"EmployeeID": 10028,
"Employees": "Leverling Vinet",
"Designation": "Project Lead",
"Location": "Germany",
"Status": "Inactive",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 57,
"EmployeeImg": "userfemale",
"CurrentSalary": 38370,
"Address": "59 rue de lAbbaye",
"Mail": "leverling102@sample.com"
},
{
"EmployeeID": 10029,
"Employees": "Rose Jack",
"Designation": "Developer",
"Location": "UK",
"Status": "Active",
"Trustworthiness": "Perfect",
"Rating": 0,
"Software": 46,
"EmployeeImg": "userfemale",
"CurrentSalary": 84790,
"Address": "Rua do Mercado, 12",
"Mail": "rose108@jourrapide.com"
},
{
"EmployeeID": 10030,
"Employees": "Vinet Van",
"Designation": "Developer",
"Location": "USA",
"Status": "Active",
"Trustworthiness": "Sufficient",
"Rating": 0,
"Software": 40,
"EmployeeImg": "usermale",
"CurrentSalary": 71005,
"Address": "Gran Vía, 1",
"Mail": "vinet90@jourrapide.com"
}
]Server Configuration
In Spreadsheet control, Excel import and export support processed in server-side, to use importing and exporting in your projects, it is required to create a server with any of the following web services.
- WebAPI
- WCF Service
- ASP.NET MVC Controller Action
The following code snippets shows server configuration using WebAPI service.
[Route("api/[controller]")]
public class SpreadsheetController : Controller
{
//To open Excel file
[AcceptVerbs("Post")]
[HttpPost]
[EnableCors("AllowAllOrigins")]
[Route("Open")]
public IActionResult Open(IFormCollection openRequest)
{
OpenRequest open = new OpenRequest();
open.File = openRequest.Files[0];
return Content(Workbook.Open(open));
}
//To save as Excel file
[AcceptVerbs("Post")]
[HttpPost]
[EnableCors("AllowAllOrigins")]
[Route("Save")]
public IActionResult Save([FromForm]SaveSettings saveSettings)
{
return Workbook.Save(saveSettings);
}
}Server Dependencies
Open and save helper functions are shipped in the Syncfusion.EJ2.Spreadsheet package, which is available in Essential Studio and nuget.org. Following list of dependencies required for Spreadsheet open and save operations.
- Syncfusion.EJ2
- Syncfusion.EJ2.Spreadsheet
- Syncfusion.Compression.Base
- Syncfusion.XlsIO.Base
And also refer this for more information.
Note
You can refer to our React Spreadsheet feature tour page for its groundbreaking feature representations. You can also explore our React Spreadsheet example to knows how to present and manipulate data.