Input Filter (default)

Index

Description

Input filter is the default filter when enabling filters.

Demo

Demo Page / Demo Component

UI Usage

All column types support the following operators: (>, >=, <, <=, <>, !=, =, ==, *), range filters can also have 1 of these options (rangeInclusive or rangeExclusive, the inclusive is default) Example:

  • Number type

    • >100 => bigger than 100

    • <>100 => not include number 100

    • 15..44 => between 15 and 44 (you can also provide option rangeInclusive or rangeExclusive, inclusive is default)

  • Date types

    • >=2001-01-01 => bigger or equal than date 2001-01-01

    • <02/28/17 => smaller than date 02/28/17

    • 2001-01-01..2002-02-22 => between 2001-01-01 and 2002-02-22

  • String type

    • <>John => not containing the sub-string John

    • !=John => not equal to the text John (note that this is not equivalent to <>)

    • John* => starts with the sub-string John

    • *Doe => ends with the sub-string Doe

    • ab..ef => anything included between "af" and "ef"

      • refer to the ASCII table for each character assigned index

    • != => get defined only data and exclude any undefined, null or empty string ''

      • notice the empty string in the search value ' '

Note that you could do the same functionality with a Compound Filter.

Note

For filters to work properly (default is string), make sure to provide a FieldType (type is against the dataset, not the Formatter), for example on a Date Filters, we can set the FieldType of dateUtc/date (from dataset) can use an extra option of filterSearchType to let user filter more easily. For example, with a column having a "UTC Date" coming from the dataset but has a formatter: Formatters.dateUs, you can type a date in US format >02/28/2017, also when dealing with UTC you have to take the time difference in consideration.

How to use Input Filter

Simply set the flag filterable to True and and enable the filters in the Grid Options. Here is an example with a full column definition:

// define you columns, in this demo Effort Driven will use a Select Filter
this.columnDefinitions = [
  { id: 'title', name: 'Title', field: 'title' },
  { id: 'description', name: 'Description', field: 'description', filterable: true }
];

// you also need to enable the filters in the Grid Options
this.gridOptions = {
   enableFiltering: true
};

Filtering with Localization (i18n)

When using a regular grid with a JSON dataset (that is without using Backend Service API), the filter might not working correctly on cell values that are translated (because it will try to filter against the translation key instead of the actual formatted value). So to bypass this problem, a new extra params was created to resolve this, you need to set useFormatterOuputToFilter to True and the filter will, has the name suggest, use the output of the Formatter to filter against. Example:

// define you columns, in this demo Effort Driven will use a Select Filter
this.columnDefinitions = [
  { id: 'title', name: 'Title', field: 'id',
    headerKey: 'TITLE',
    formatter: this.taskTranslateFormatter,  // <-- this could be a custom Formatter or the built-in translateFormatter
    filterable: true,
    params: { useFormatterOuputToFilter: true } // <-- set this flag to True
  },
  { id: 'description', name: 'Description', field: 'description', filterable: true }
];

// you also need to enable the filters in the Grid Options
this.gridOptions = {
   enableFiltering: true
};

// using a custom translate Formatter OR translateFormatter
taskTranslateFormatter: Formatter = (row, cell, value, columnDef, dataContext) => {
  return this.i18n.tr('TASK_X', { x: value });
}

How to Filter Complex Objects?

You can filter complex objects using the dot (.) notation inside the field property defined in your Columns Definition.

For example, let say that we have this dataset

const dataset = [
 { item: 'HP Desktop', buyer: { id: 1234, address: { street: '123 belleville', zip: 123456 }},
 { item: 'Lenovo Mouse', buyer: { id: 456, address: { street: '456 hollywood blvd', zip: 789123 }}
];

We can now filter the zip code from the buyer's address using this filter:

this.columnDefinitions = [
  {
    // the zip is a property of a complex object which is under the "buyer" property
    // it will use the "field" property to explode (from "." notation) and find the child value
    id: 'zip', name: 'ZIP', field: 'buyer.address.zip', filterable: true
   // id: 'street',  ...
];

Update Filters Dynamically

You can update/change the Filters dynamically (on the fly) via the updateFilters method from the FilterService. Note that calling this method will override all filters and replace them with the new array of filters provided. For example, you could update the filters from a button click or a select dropdown list with predefined filter set.

Component

export class Example extends React.Component<Props, State> {
  reactGrid: SlickgridReactInstance;

  reactGridReady(reactGrid: SlickgridReactInstance) {
    this.reactGrid = reactGrid;
  }

  setFiltersDynamically() {
    // we can Set Filters Dynamically (or different filters) afterward through the FilterService
    this.reactGrid.filterService.updateFilters([
      { columnId: 'duration', searchTerms: [2, 25, 48, 50] },
      { columnId: 'complete', searchTerms: [95], operator: '<' },
      { columnId: 'effort-driven', searchTerms: [true] },
      { columnId: 'start', operator: '>=', searchTerms: ['2001-02-28'] },
    ]);
  }

  render() {
    return (
      <button className="btn btn-outline-secondary btn-sm btn-icon" data-test="set-dynamic-filter"
        onClick={() => this.setFiltersDynamically()}>
        Set Filters Dynamically
      </button>

      <SlickgridReact gridId="grid1"
        columnDefinitions={this.state.columnDefinitions}
        gridOptions={this.state.gridOptions}
        dataset={this.state.dataset}
        onReactGridCreated={$event => this.reactGridReady($event.detail)}
        onGridStateChanged={$event => this.gridStateChanged($event.detail)}
      />
    );
  }
}

Extra Arguments

The updateFilters method has 2 extra arguments:

  • 2nd argument, defaults to true, is to emit a filter changed event (the GridStateService uses this event)

    • optional and defaults to true updateFilters([], true)

  • 3rd argument is to trigger a backend query (when using a Backend Service like OData/GraphQL), this could be useful when using updateFilters & updateSorting and you wish to only send the backend query once.

    • optional and defaults to true updateFilters([], true, true)

Query Different Field

Sometime you want to display a certain column (let say countryName) but you want to filter from a different column (say countryCode), in such use case you can use 1 of these 4 optional

  • queryField: this will affect both the Filter & Sort

  • queryFieldFilter: this will affect only the Filter

  • queryFieldSorter: this will affect only the Sort

  • queryFieldNameGetterFn: dynamically change column to do Filter/Sort (see below)

Dynamic Query Field

What if you a field that you only know which field to query only at run time and depending on the item object (dataContext)? We can defined a queryFieldNameGetterFn callback that will be executed on each row when Filtering and/or Sorting.

queryFieldNameGetterFn: (dataContext) => {
  // do your logic and return the field name will be queried
  // for example let say that we query "profitRatio" when we have a profit else we query "lossRatio"
  return dataContext.profit > 0 ? 'profitRatio' : 'lossRatio';
},

Debounce/Throttle Text Search (wait for user to stop typing before filtering)

When having a large dataset, it might be useful to add a debounce delay so that typing multiple character successively won't affect the search time, you can use the filterTypingDebounce grid option for that use case. What it will do is simply wait for the user to finish typing before executing the filter condition, you typically don't want to put this number too high and I find that between 250-500 is a good number.

this.gridOptions = {
   filterTypingDebounce: 250,
};

Ignore Locale Accent in Text Filter/Sorting

You can ignore latin accent (or any other language accent) in text filter via the Grid Option ignoreAccentOnStringFilterAndSort flag (default is false)

this.gridOptions = {
   ignoreAccentOnStringFilterAndSort: true,
};

Custom Filter Predicate

You can provide a custom predicate by using the filterPredicate when defining your filter, the callback will provide you with 2 arguments (dataContext and searchFilterArgs). The searchFilterArgs has a type of SearchColumnFilter interface which will provide you more info about the filter itself (like parsed operator, search terms, column definition, column id and type as well). You can see a live demo at Example 14 and the associated lines of code.

this.columnDefinitions = [
  {
    id: 'title', name: 'Title', field: 'title', sortable: true,
    filterable: true, type: FieldType.string,
    filter: {
      model: Filters.inputText,
      // you can use your own custom filter predicate when built-in filters aren't working for you
      // for example the example below will function similarly to an SQL LIKE to answer this SO: https://stackoverflow.com/questions/78471412/angular-slickgrid-filter
      filterPredicate: (dataContext, searchFilterArgs) => {
        const searchVals = (searchFilterArgs.searchTerms || []) as SearchTerm[];
        if (searchVals?.length) {
          const columnId = searchFilterArgs.columnId;
          const searchVal = searchVals[0] as string;
          const likeMatches = searchVal.split('%');
          if (likeMatches.length > 3) {
            // for matches like "%Ta%10%" will return text that starts with "Ta" and ends with "10" (e.g. "Task 10", "Task 110", "Task 210")
            const [_, start, end] = likeMatches;
            return dataContext[columnId].startsWith(start) && dataContext[columnId].endsWith(end);
          } else if (likeMatches.length > 2) {
            // for matches like "%Ta%10" will return text that starts with "Ta" and contains "10" (e.g. "Task 10", "Task 100", "Task 101")
            const [_, start, contain] = likeMatches;
            return dataContext[columnId].startsWith(start) && dataContext[columnId].includes(contain);
          }
          // for anything else we'll simply expect a Contains
          return dataContext[columnId].includes(searchVal);
        }
        // if we fall here then the value is not filtered out
        return true;
      },
    },
  },
];

The custom filter predicate above was to answer a Stack Overflow question and will work similarly to an SQL LIKE matcher (it's not perfect and probably requires more work but is enough to demo the usage of a custom filter predicate)

image

Filter Shortcuts

User can declare some Filter Shortcuts, that will be added to the Header Menu of the Column it was assigned. These shortcuts are simply a list of filter search values (e.g. Filter the Blank/Non-Blanks Values), the end user can type the same search values themselves but the shortcuts are simply meant to be quicker without having to know what to type (e.g. Filter Current Year).

The shortcuts can be declared via an array that must include at least a title (or titleKey) a searchTerms array and lastly an optional operator can also be provided. The available properties of these shortcut is a merge of Header Menu Item interface (except command and action which are reserved and assigned internally) and of course the 3 properties mentioned above. The declaration is very similar to how we use it when declaring Grid Presets as shown below

this.columnDefinitions = [
  {
    id: 'country', name: 'Country', field: 'country',
    filter: {
      model: Filters.inputText,
      filterShortcuts: [
        { title: 'Blank Values', searchTerms: ['A'], operator: '<', iconCssClass: 'mdi mdi-filter-minus-outline', },
        { title: 'Non-Blank Values', searchTerms: ['A'], operator: '>', iconCssClass: 'mdi mdi-filter-plus-outline', },
      ]
    },
  },
  {
    id: 'finish', name: 'Finish', field: 'finish',
    filter: {
      model: Filters.dateRange,
      filterShortcuts: [
        {
          // using Locale translations & Tempo to calculate next 30 days
          titleKey: 'NEXT_30_DAYS',
          iconCssClass: 'mdi mdi-calendar',
          searchTerms: [tempoFormat(new Date(), 'YYYY-MM-DD'), tempoFormat(addDay(new Date(), 30), 'YYYY-MM-DD')],
        },
      ]
    },
  },
];

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