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ASF GitHub Bot commented on FLINK-5315: --------------------------------------- fhueske commented on a change in pull request #6521: [FLINK-5315][table] Adding support for distinct operation for table API on DataStream URL: https://github.com/apache/flink/pull/6521#discussion_r211206748 ########## File path: docs/dev/table/tableApi.md ########## @@ -381,6 +381,36 @@ Table result = orders {% highlight java %} Table orders = tableEnv.scan("Orders"); Table result = orders.distinct(); +{% endhighlight %} + <p><b>Note:</b> For streaming queries the required state to compute the query result might grow infinitely depending on the number of distinct fields. Please provide a query configuration with valid retention interval to prevent excessive state size. See <a href="streaming.html">Streaming Concepts</a> for details.</p> + </td> + </tr> + <tr> + <td> + <strong>Distinct Aggregation</strong><br> Review comment: I would move it above `DISTINCT` because it is more related to aggregations. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org > Support distinct aggregations in table api > ------------------------------------------ > > Key: FLINK-5315 > URL: https://issues.apache.org/jira/browse/FLINK-5315 > Project: Flink > Issue Type: Sub-task > Components: Table API & SQL > Reporter: Kurt Young > Assignee: Rong Rong > Priority: Major > Labels: pull-request-available > > Support distinct aggregations in Table API in the following format: > For Expressions: > {code:scala} > 'a.count.distinct // Expressions distinct modifier > {code} > For User-defined Function: > {code:scala} > singleArgUdaggFunc.distinct('a) // FunctionCall distinct modifier > multiArgUdaggFunc.distinct('a, 'b) // FunctionCall distinct modifier > {code} -- This message was sent by Atlassian JIRA (v7.6.3#76005)