{"id": "json_api:column-filter-arguments", "page": "json_api", "ref": "column-filter-arguments", "title": "Column filter arguments", "content": "You can filter the data returned by the table based on column values using a query string argument. \n                 \n                     \n                         ?column__exact=value  or  ?_column=value \n                         \n                             Returns rows where the specified column exactly matches the value. \n                         \n                     \n                     \n                         ?column__not=value \n                         \n                             Returns rows where the column does not match the value. \n                         \n                     \n                     \n                         ?column__contains=value \n                         \n                             Rows where the string column contains the specified value ( column like \"%value%\"  in SQL). \n                         \n                     \n                     \n                         ?column__notcontains=value \n                         \n                             Rows where the string column does not contain the specified value ( column not like \"%value%\"  in SQL). \n                         \n                     \n                     \n                         ?column__endswith=value \n                         \n                             Rows where the string column ends with the specified value ( column like \"%value\"  in SQL). \n                         \n                     \n                     \n                         ?column__startswith=value \n                         \n                             Rows where the string column starts with the specified value ( column like \"value%\"  in SQL). \n                         \n                     \n                     \n                         ?column__gt=value \n                         \n                             Rows which are greater than the specified value. \n                         \n                     \n                     \n                         ?column__gte=value \n                         \n                             Rows which are greater than or equal to the specified value. \n                         \n                     \n                     \n                         ?column__lt=value \n                         \n                             Rows which are less than the specified value. \n                         \n                     \n                     \n                         ?column__lte=value \n                         \n                             Rows which are less than or equal to the specified value. \n                         \n                     \n                     \n                         ?column__like=value \n                         \n                             Match rows with a LIKE clause, case insensitive and with  %  as the wildcard character. \n                         \n                     \n                     \n                         ?column__notlike=value \n                         \n                             Match rows that do not match the provided LIKE clause. \n                         \n                     \n                     \n                         ?column__glob=value \n                         \n                             Similar to LIKE but uses Unix wildcard syntax and is case sensitive. \n                         \n                     \n                     \n                         ?column__in=value1,value2,value3 \n                         \n                             Rows where column matches any of the provided values. \n                             You can use a comma separated string, or you can use a JSON array. \n                             The JSON array option is useful if one of your matching values itself contains a comma: \n                             ?column__in=[\"value\",\"value,with,commas\"] \n                         \n                     \n                     \n                         ?column__notin=value1,value2,value3 \n                         \n                             Rows where column does not match any of the provided values. The inverse of  __in= . Also supports JSON arrays. \n                         \n                     \n                     \n                         ?column__arraycontains=value \n                         \n                             Works against columns that contain JSON arrays - matches if any of the values in that array match the provided value. \n                             This is only available if the  json1  SQLite extension is enabled. \n                         \n                     \n                     \n                         ?column__arraynotcontains=value \n                         \n                             Works against columns that contain JSON arrays - matches if none of the values in that array match the provided value. \n                             This is only available if the  json1  SQLite extension is enabled. \n                         \n                     \n                     \n                         ?column__date=value \n                         \n                             Column is a datestamp occurring on the specified YYYY-MM-DD date, e.g.  2018-01-02 . \n                         \n                     \n                     \n                         ?column__isnull=1 \n                         \n                             Matches rows where the column is null. \n                         \n                     \n                     \n                         ?column__notnull=1 \n                         \n                             Matches rows where the column is not null. \n                         \n                     \n                     \n                         ?column__isblank=1 \n                         \n                             Matches rows where the column is blank, meaning null or the empty string. \n                         \n                     \n                     \n                         ?column__notblank=1 \n                         \n                             Matches rows where the column is not blank.", "breadcrumbs": "[\"JSON API\", \"Table arguments\"]", "references": "[]"}