--- id: having title: "Filter groupBy query results" --- A having clause is a JSON object identifying which rows from a groupBy query should be returned, by specifying conditions on aggregated values. It is essentially the equivalent of the HAVING clause in SQL. Apache Druid supports the following types of having clauses. ### Query filters Query filter HavingSpecs allow all [Druid query filters](filters.html) to be used in the Having part of the query. The grammar for a query filter HavingSpec is: ```json { "queryType": "groupBy", "dataSource": "sample_datasource", ... "having": { "type" : "filter", "filter" : } } ``` For example, to use a selector filter: ```json { "queryType": "groupBy", "dataSource": "sample_datasource", ... "having": { "type" : "filter", "filter" : { "type": "selector", "dimension" : "", "value" : "" } } } ``` You can use "filter" HavingSpecs to filter on the timestamp of result rows by applying a filter to the "\_\_time" column. ### Numeric filters The simplest having clause is a numeric filter. Numeric filters can be used as the base filters for more complex boolean expressions of filters. Here's an example of a having-clause numeric filter: ```json { "queryType": "groupBy", "dataSource": "sample_datasource", ... "having": { "type": "greaterThan", "aggregation": "", "value": } } ``` #### Equal To The equalTo filter will match rows with a specific aggregate value. The grammar for an `equalTo` filter is as follows: ```json { "queryType": "groupBy", "dataSource": "sample_datasource", ... "having": { "type": "equalTo", "aggregation": "", "value": } } ``` This is the equivalent of `HAVING = `. #### Greater Than The greaterThan filter will match rows with aggregate values greater than the given value. The grammar for a `greaterThan` filter is as follows: ```json { "queryType": "groupBy", "dataSource": "sample_datasource", ... "having": { "type": "greaterThan", "aggregation": "", "value": } } ``` This is the equivalent of `HAVING > `. #### Less Than The lessThan filter will match rows with aggregate values less than the specified value. The grammar for a `greaterThan` filter is as follows: ```json { "queryType": "groupBy", "dataSource": "sample_datasource", ... "having": { "type": "lessThan", "aggregation": "", "value": } } ``` This is the equivalent of `HAVING < `. ### Dimension Selector Filter #### dimSelector The dimSelector filter will match rows with dimension values equal to the specified value. The grammar for a `dimSelector` filter is as follows: ```json { "queryType": "groupBy", "dataSource": "sample_datasource", ... "having": { "type": "dimSelector", "dimension": "", "value": } } ``` ### Logical expression filters #### AND The grammar for an AND filter is as follows: ```json { "queryType": "groupBy", "dataSource": "sample_datasource", ... "having": { "type": "and", "havingSpecs": [ { "type": "greaterThan", "aggregation": "", "value": }, { "type": "lessThan", "aggregation": "", "value": } ] } } ``` #### OR The grammar for an OR filter is as follows: ```json { "queryType": "groupBy", "dataSource": "sample_datasource", ... "having": { "type": "or", "havingSpecs": [ { "type": "greaterThan", "aggregation": "", "value": }, { "type": "equalTo", "aggregation": "", "value": } ] } } ``` #### NOT The grammar for a NOT filter is as follows: ```json { "queryType": "groupBy", "dataSource": "sample_datasource", ... "having": { "type": "not", "havingSpec": { "type": "equalTo", "aggregation": "", "value": } } } ```