Table Filter
React Bootstrap 5 Table Filter component
Responsive Table Filter built with React Bootstrap 5. Search filter is the most common useful table control. Filter any table with ease using datatables features.
Basic example
You can easily add search input to your datatable by adding search property.
import React from 'react';
import { MDBContainer, MDBDatatable } from 'mdb-react-ui-kit';
export default function App() {
const basicData = {
columns: ['Name', 'Position', 'Office', 'Age', 'Start date', 'Salary'],
rows: [
['Tiger Nixon', 'System Architect', 'Edinburgh', '61', '2011/04/25', '$320,800'],
['Garrett Winters', 'Accountant', 'Tokyo', '63', '2011/07/25', '$170,750'],
['Ashton Cox', 'Junior Technical Author', 'San Francisco', '66', '2009/01/12', '$86,000'],
['Cedric Kelly', 'Senior Javascript Developer', 'Edinburgh', '22', '2012/03/29', '$433,060'],
['Airi Satou', 'Accountant', 'Tokyo', '33', '2008/11/28', '$162,700'],
['Brielle Williamson', 'Integration Specialist', 'New York', '61', '2012/12/02', '$372,000'],
['Herrod Chandler', 'Sales Assistant', 'San Francisco', '59', '2012/08/06', '$137,500'],
['Rhona Davidson', 'Integration Specialist', 'Tokyo', '55', '2010/10/14', '$327,900'],
['Colleen Hurst', 'Javascript Developer', 'San Francisco', '39', '2009/09/15', '$205,500'],
['Sonya Frost', 'Software Engineer', 'Edinburgh', '23', '2008/12/13', '$103,600'],
['Jena Gaines', 'Office Manager', 'London', '30', '2008/12/19', '$90,560'],
['Quinn Flynn', 'Support Lead', 'Edinburgh', '22', '2013/03/03', '$342,000'],
['Charde Marshall', 'Regional Director', 'San Francisco', '36', '2008/10/16', '$470,600'],
['Haley Kennedy', 'Senior Marketing Designer', 'London', '43', '2012/12/18', '$313,500'],
],
};
return (
<MDBContainer className='mt-5'>
<MDBDatatable data={basicData} search />
</MDBContainer>
);
}
Advanced search
You can specify your own search by passing a callback to advancedSearch.
The callback must return an object which looks like this: {phrase: string; columns: string | string[] }
import React, { useCallback } from 'react';
import { MDBContainer, MDBDatatable } from 'mdb-react-ui-kit';
const basicData = {
columns: ['Name', 'Position', 'Office', 'Age', 'Start date', 'Salary'],
rows: [
['Tiger Nixon', 'System Architect', 'Edinburgh', '61', '2011/04/25', '$320,800'],
['Garrett Winters', 'Accountant', 'Tokyo', '63', '2011/07/25', '$170,750'],
['Ashton Cox', 'Junior Technical Author', 'San Francisco', '66', '2009/01/12', '$86,000'],
['Cedric Kelly', 'Senior Javascript Developer', 'Edinburgh', '22', '2012/03/29', '$433,060'],
['Airi Satou', 'Accountant', 'Tokyo', '33', '2008/11/28', '$162,700'],
['Brielle Williamson', 'Integration Specialist', 'New York', '61', '2012/12/02', '$372,000'],
['Herrod Chandler', 'Sales Assistant', 'San Francisco', '59', '2012/08/06', '$137,500'],
['Rhona Davidson', 'Integration Specialist', 'Tokyo', '55', '2010/10/14', '$327,900'],
['Colleen Hurst', 'Javascript Developer', 'San Francisco', '39', '2009/09/15', '$205,500'],
['Sonya Frost', 'Software Engineer', 'Edinburgh', '23', '2008/12/13', '$103,600'],
['Jena Gaines', 'Office Manager', 'London', '30', '2008/12/19', '$90,560'],
['Quinn Flynn', 'Support Lead', 'Edinburgh', '22', '2013/03/03', '$342,000'],
['Charde Marshall', 'Regional Director', 'San Francisco', '36', '2008/10/16', '$470,600'],
['Haley Kennedy', 'Senior Marketing Designer', 'London', '43', '2012/12/18', '$313,500'],
],
};
export default function App() {
const search = useCallback((value) => {
let [phrase, columns] = value.split(' in:').map((str) => str.trim());
if (columns) {
columns = columns.split(',').map((str) => str.toLowerCase().trim());
}
return {phrase, columns};
}, []);
return (
<MDBContainer className='mt-5'>
<MDBDatatable data={basicData} advancedSearch={search} />
</MDBContainer>
);
}