Filtering Query Functions

Filter functions allow you to filter events or event data based on whether the query matches the filter. For example:

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in(name,values=["datasource-count"])

Returns all events where the name field equals datasource-count.

Filter functions can also be negated, for example, filter the events that do not match the given filter. For example:

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!in(name,values=["datasource-count"])

Returns all events where the name field does not equal datasource-count.

All the functions in the Filtering Query Functions table are negatable except sample.

Table: Filtering Query Functions

Function	Default Argument	Description
`array:contains(array, value)`	`array`	Checks whether the given value matches any of the values of the array and excludes the event if no value matches.
`array:filter(array, [asArray], function, var)`	`array`	Drops entries from the input array using the given filtering function.
`array:regex(array, [flags], regex)`	`array`	Checks whether the given pattern matches any of the values of the array and excludes the event from the search result.
`cidr([column], field, [file], [negate], [subnet])`	`field`	Filters events using CIDR subnets.
`in(field, [ignoreCase], values)`	`field`	Filters records by values where field is in given values.
`match([column], field, file, [glob], [ignoreCase], [include], [mode], [strict])`	`file`	Searches text using a CSV or JSON file and can enhance entries.
`regex([field], [flags], [limit], regex, [repeat], [strict])`	`regex`	Extracts new fields using a regular expression.
`sample([field], [percentage])`	`percentage`	Samples the event stream.
`selfJoinFilter(field, [prefilter], where)`	`field`	Runs query to determine IDs, and then gets all events containing one of them.
`test(expression)`	`expression`	Evaluates boolean expression and filters events.
`wildcard([field], [ignoreCase], pattern)`	`pattern`	Performs a wildcard pattern search with optional case insensitivity.