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Jark Wu commented on FLINK-13740: --------------------------------- #1, It will be a great regression for generic types. (most users are using generic type for UDFs) #2, I'm not sure whether it works. Because the javaObjectSer is mainly used for materialize(), but materialize() is an interface of LazyBinaryFormat. It's hard to pass serializer for a nested generic object. An easy way maybe we can make operations of javaObjectSer in a synchronized block, including: 1) {{InstantiationUtil.serializeToByteArray(javaObjectSer, javaObject)}} in {{materialize()}} 2) {{javaObjectSer.copy(javaObject)}} in {{copy()}} > TableAggregateITCase.testNonkeyedFlatAggregate failed on Travis > --------------------------------------------------------------- > > Key: FLINK-13740 > URL: https://issues.apache.org/jira/browse/FLINK-13740 > Project: Flink > Issue Type: Bug > Components: Table SQL / Planner > Affects Versions: 1.9.0, 1.10.0 > Reporter: Till Rohrmann > Priority: Critical > Labels: test-stability > Fix For: 1.10.0, 1.9.1 > > > The {{TableAggregateITCase.testNonkeyedFlatAggregate}} failed on Travis with > {code} > org.apache.flink.runtime.client.JobExecutionException: Job execution failed. > at > org.apache.flink.table.planner.runtime.stream.table.TableAggregateITCase.testNonkeyedFlatAggregate(TableAggregateITCase.scala:93) > Caused by: java.lang.Exception: Artificial Failure > {code} > https://api.travis-ci.com/v3/job/225551182/log.txt -- This message was sent by Atlassian Jira (v8.3.4#803005)