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https://issues.apache.org/jira/browse/FLINK-3475?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15885560#comment-15885560
 ] 

ASF GitHub Bot commented on FLINK-3475:
---------------------------------------

Github user fhueske commented on a diff in the pull request:

    https://github.com/apache/flink/pull/3111#discussion_r103165057
  
    --- Diff: 
flink-libraries/flink-table/src/main/java/org/apache/flink/table/plan/rules/dataSet/FlinkAggregateExpandDistinctAggregatesRule.java
 ---
    @@ -0,0 +1,1152 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one or more
    + * contributor license agreements.  See the NOTICE file distributed with
    + * this work for additional information regarding copyright ownership.
    + * The ASF licenses this file to you under the Apache License, Version 2.0
    + * (the "License"); you may not use this file except in compliance with
    + * the License.  You may obtain a copy of the License at
    + *
    + * http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +
    +package org.apache.flink.table.plan.rules.dataSet;
    --- End diff --
    
    Move to `org.apache.flink.table.calcite.rules` next to 
`FlinkAggregateJoinTransposeRule`


> DISTINCT aggregate function support for SQL queries
> ---------------------------------------------------
>
>                 Key: FLINK-3475
>                 URL: https://issues.apache.org/jira/browse/FLINK-3475
>             Project: Flink
>          Issue Type: New Feature
>          Components: Table API & SQL
>            Reporter: Chengxiang Li
>            Assignee: Zhenghua Gao
>
> DISTINCT aggregate function may be able to reuse the aggregate function 
> instead of separate implementation, and let Flink runtime take care of 
> duplicate records.



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