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https://issues.apache.org/jira/browse/FLINK-5658?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15880052#comment-15880052
 ] 

ASF GitHub Bot commented on FLINK-5658:
---------------------------------------

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

    https://github.com/apache/flink/pull/3386#discussion_r102652936
  
    --- Diff: 
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/windowing/assigners/GlobalEventTimeRowWindowAssigner.java
 ---
    @@ -0,0 +1,113 @@
    +/**
    + * 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.streaming.api.windowing.assigners;
    +
    +import org.apache.flink.annotation.Internal;
    +import org.apache.flink.annotation.PublicEvolving;
    +import org.apache.flink.api.common.ExecutionConfig;
    +import org.apache.flink.api.common.typeutils.TypeSerializer;
    +import 
org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;
    +import org.apache.flink.streaming.api.windowing.triggers.Trigger;
    +import org.apache.flink.streaming.api.windowing.triggers.TriggerResult;
    +import org.apache.flink.streaming.api.windowing.windows.GlobalWindow;
    +
    +import java.util.Collection;
    +import java.util.Collections;
    +
    +/**
    + * A {@link WindowAssigner} that assigns all elements to the same global 
row window.
    + *
    + */
    +@PublicEvolving
    +public class GlobalEventTimeRowWindowAssigner extends 
WindowAssigner<Object, GlobalWindow> {
    --- End diff --
    
    This windowassigner is aim to keep the currentelement eventtime and current 
max timestamp, if new element timestamp is before the current max timestamp, i 
will just discard it.


> Add event time OVER RANGE BETWEEN UNBOUNDED PRECEDING aggregation to SQL
> ------------------------------------------------------------------------
>
>                 Key: FLINK-5658
>                 URL: https://issues.apache.org/jira/browse/FLINK-5658
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Table API & SQL
>            Reporter: Fabian Hueske
>            Assignee: Yuhong Hong
>
> The goal of this issue is to add support for OVER RANGE aggregations on event 
> time streams to the SQL interface.
> Queries similar to the following should be supported:
> {code}
> SELECT 
>   a, 
>   SUM(b) OVER (PARTITION BY c ORDER BY rowTime() RANGE BETWEEN UNBOUNDED 
> PRECEDING AND CURRENT ROW) AS sumB,
>   MIN(b) OVER (PARTITION BY c ORDER BY rowTime() RANGE BETWEEN UNBOUNDED 
> PRECEDING AND CURRENT ROW) AS minB
> FROM myStream
> {code}
> The following restrictions should initially apply:
> - All OVER clauses in the same SELECT clause must be exactly the same.
> - The PARTITION BY clause is optional (no partitioning results in single 
> threaded execution).
> - The ORDER BY clause may only have rowTime() as parameter. rowTime() is a 
> parameterless scalar function that just indicates processing time mode.
> - bounded PRECEDING is not supported (see FLINK-5655)
> - FOLLOWING is not supported.
> The restrictions will be resolved in follow up issues. If we find that some 
> of the restrictions are trivial to address, we can add the functionality in 
> this issue as well.
> This issue includes:
> - Design of the DataStream operator to compute OVER ROW aggregates
> - Translation from Calcite's RelNode representation (LogicalProject with 
> RexOver expression).



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