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https://issues.apache.org/jira/browse/FLINK-14243?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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jackylau updated FLINK-14243:
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Description:
Flink1.9 bring in hive connector, but it will have some problem when the
original hive udf using cache. We konw that hive is processed level parallel
based on jvm, while flink/spark is task level parallel. If flink just calls the
hive udf, it wll exists thread-safe problem when using cache.
So it may need check the hive udf code and if it is not thread-safe, and set
the flink parallize=1
was:
Flink1.9 bring in hive connector, but it will have some problem when the
original hive udf using cache. We konw that hive is processed level parallel
based on jvm, while flink/spark is task level parallel. If flink just calls the
hive udf, it wll exists thread-safe problem when using cache.
So it may need check the hive udf code and if it is not thread-fase, and set
the flink parallize=1
> flink hiveudf need some check when it is using cache
> ----------------------------------------------------
>
> Key: FLINK-14243
> URL: https://issues.apache.org/jira/browse/FLINK-14243
> Project: Flink
> Issue Type: Bug
> Components: Connectors / Hive, Table SQL / Planner
> Affects Versions: 1.9.0
> Reporter: jackylau
> Priority: Major
> Fix For: 1.10.0
>
>
> Flink1.9 bring in hive connector, but it will have some problem when the
> original hive udf using cache. We konw that hive is processed level parallel
> based on jvm, while flink/spark is task level parallel. If flink just calls
> the hive udf, it wll exists thread-safe problem when using cache.
> So it may need check the hive udf code and if it is not thread-safe, and set
> the flink parallize=1
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