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The filter allows you to enter a value into the text field that will be used to refine the rows displayed in the grid based on the values stored in a single column, which can be chosen by clicking on the Filter button to the left of the text field.

Based upon what type of data is stored in each column, there are different filters that can be used to refine the rows, for . For example, if a column contains text that then the column can be filtered based on matching characters in the text, but if the column contains numbers then the column can be filtered based on the values being less than a particular number.

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The filtering for text is case sensitive and is based on wildcards, using * as the wildcard character. If

By default if you don’t include the wildcard character in the filter field by default it one will be added to the end, so the filtering will only display rows that start with the text entered, but this can be disabled by setting stringFilterWildcard to false in the grid panel config.

If you want to display rows that contain the filter text in the middle then you need to add * to the start and the end, if . If you want to filter based on the text ending with the filter value then you just add the * at the start. To use an * in the filter, without it being interpreted as a wildcard placeholder, then you should precede it with the \ character. To use a \ in the filter before an * and have it interpreted as a slash followed by a wildcard, as opposed to an asterisk, use a double \.

If you don’t want to use a wildcard at all and search for the exact text entered then you need to can enclose the filter text in double-quotes, this will also disable the evaluation of \ and * characters and treat them and regular characters (and not escape or wildcard markers).

You can also combine two text filter if you want to match multiple values using | (pipe).

The following table shows the values the user enters and what the actual filter value will be, assuming stringFilterWildcard is true, which is the default, and what values the filter would match.

Entered Value

Filter Value

Matches

WATSON CREEK

WATSON CREEK*

Values that start with “WATSON CREEK”

WATSON CREEK*

WATSON CREEK*

Values that start with “WATSON CREEK”

*WATSON CREEK

*WATSON CREEK

Values then end with “WATSON CREEK”

*WATSON CREEK*

*WATSON CREEK*

Values that contain “WATSON CREEK”

“WATSON CREEK”

“WATSON CREEK”

Values that are “WATSON CREEK”

WATSON|FIDDLER

WATSON*|FIDDLER*

Values that start with “WATSON” or “FIDDLER”

“WATSON”|FIDDLER

“WATSON”|FIDDLER

Values that are “WATSON” or start with “FIDDLER”

*WATSON|”FIDDLER”

*WASTON|”FIDDLER”

Values that end with “WATSON” or are “FIDDLER”

C\*Productions

C\*Productions*

Values that start with “C*Productions”

*C\*Prod*

*C\*Prod*

Values that contain “C*Prod”

“C*Productions”

“C*Productions”

Values that are “C*Productions”

\*

\**

Values that begin with “*”

*\**

*\**

Values that contain “*”

*\*

*\*

Values that end with “*”

*\\*

*\\*

Values that contain “\”

\\*

\\*

Values that start with “\”

\\\*

\\\*

Values that are “\*”

“*”

“*”

Values that are “*”

“\*”

“\*”

Values that are “\*”

“\\\*”

“\\\*”

Values that are “\\\*”

Numbers

If you’re filtering a column of numbers then just entering a number will filter the rows that match that value, there is no wildcards like textwildcard as for a text field. If you want to include numbers less than, less than or equal, greater than or greater than or equal then you can preceed precede the value with <, <=, > or >=, or use <> for not equal.

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Column Type

Entered Value

Matches

Date

<20191014

Before 12:00am 14 Oct 2019

<201910

Before 12:00am 1 Oct 2019

<2019

Before 12:00am 1 Jan 2019

<=20191014

Before 12:00am 15 Oct 2019

>20191014

At or after 12:00am 15 Oct 2019

>=20191014

At or after 12:00am 14 Oct 2019

<>20191014

Before 12:00am 14 Oct 2019 or at or after 12:00am 15 Oct 2019

20191014

At or after 12:00am 14 Oct 2019 and before 12:00am 15 Oct 2019

>=20191014 <20191021

At or after 12:00am 14 Oct 2019 and before 12:00am 21 Oct 2019

<20191014 | >= 20191021

Before 12:00am 14 Oct 2019 or at or after 12:00am 21 Oct 2019

201902 | 201905

At or after 12:00am 1 Feb 2019 and before 12:00am 1 March 2019 or at or after 12:00am 1 May 2019 and before 12:00am 1 June 2019

Time

<1430

Before 2:30pm

<=1430

At or before 2:30pm

>1430

At or after 2:31pm

>= 1430

At or after 2:30pm

<>1430

Before 2:30pm or at or after 2:31pm

>=14 <16

At or after 2:00pm and before 4:00pm

<14 | >=16

Before 2:00pm or at or after 4:00pm

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Time filtering with SQL Server

If when filtering data from a SQL Server database you receive errors about the data types time and datetime being incompatible you can resolve this by setting sendTimeAsDatetime to false as a parameter in the connection URL, e.g.

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