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https://issues.apache.org/jira/browse/FLINK-13238?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16888489#comment-16888489
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Jark Wu commented on FLINK-13238:
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Hi [~lzljs3620320], I assigned it to you. I think we can create sub-tasks under
this issue, because we may have different ways to reduce the time.
> Reduce blink planner's testing time
> -----------------------------------
>
> Key: FLINK-13238
> URL: https://issues.apache.org/jira/browse/FLINK-13238
> Project: Flink
> Issue Type: Improvement
> Components: Table SQL / Planner
> Reporter: Kurt Young
> Assignee: Jingsong Lee
> Priority: Major
>
> The blink planner has an independent CI profile, but still exceeded 50 min
> limit from time to time. We need to optimize the tests to reduce the testing
> time. This will leading to Travis failure.
>
> We need do some work to reduce time:
> 1.Optimizer big tests:
> 192.503 s LongHashTableTest
> 83.969 s BinaryExternalSorterTest
> 261.497 s BinaryHashTableTest
> 74.223 s - in org.apache.flink.table.runtime.stream.sql.RankITCase
> 135.375 s - in org.apache.flink.table.runtime.stream.sql.JoinITCase
> 99.007 s - in org.apache.flink.table.runtime.stream.sql.SplitAggregateITCase
> 61.216 s - in org.apache.flink.table.runtime.stream.sql.OverWindowITCase
> 77.409 s - in
> org.apache.flink.table.runtime.stream.sql.SemiAntiJoinStreamITCase
> 83.83 s - in org.apache.flink.table.runtime.stream.sql.AggregateRemoveITCase
> 314.376 s - in org.apache.flink.table.runtime.stream.sql.AggregateITCase
> 121.19 s - in org.apache.flink.table.runtime.stream.table.JoinITCase
> 74.417 s - in
> org.apache.flink.table.runtime.batch.sql.agg.SortDistinctAggregateITCase
> 109.185 s - in org.apache.flink.table.runtime.batch.sql.agg.HashAggITCase
> 178.181 s - in
> org.apache.flink.table.runtime.batch.sql.agg.AggregateReduceGroupingITCase
> 112.006 s - in org.apache.flink.table.runtime.batch.sql.agg.SortAggITCase
> 61.863 s - in org.apache.flink.table.runtime.batch.sql.agg.GroupingSetsITCase
> 62.941 s - in
> org.apache.flink.table.runtime.batch.sql.agg.HashDistinctAggregateITCase
> 64.58 s - in org.apache.flink.table.runtime.batch.sql.CalcITCase
> 81.272 s - in org.apache.flink.table.runtime.batch.sql.OverWindowITCase
> 75.298 s - in org.apache.flink.table.runtime.batch.sql.join.JoinITCase
> 82.923 s - in org.apache.flink.table.runtime.batch.sql.join.OuterJoinITCase
> 145.538 s - in org.apache.flink.table.runtime.batch.sql.join.SemiJoinITCase
> 214.933 s - in org.apache.flink.table.runtime.batch.sql.join.InnerJoinITCase
>
> 2.Reuse miniCluster in ITCases.
> Every MiniCluster initialization takes 15 seconds, and MiniCluster is
> class-level reuse. We have many ITCase classes.
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