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https://issues.apache.org/jira/browse/SPARK-11282?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen resolved SPARK-11282.
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Resolution: Duplicate
[~maver1ck] this could use a better title, and there is no code attached. I
also strongly suspect it duplicates
https://issues.apache.org/jira/browse/SPARK-10914
> Very strange broadcast join behaviour
> -------------------------------------
>
> Key: SPARK-11282
> URL: https://issues.apache.org/jira/browse/SPARK-11282
> Project: Spark
> Issue Type: Bug
> Components: PySpark, SQL
> Affects Versions: 1.5.1
> Reporter: Maciej Bryński
> Priority: Critical
> Attachments: SPARK-11282.py
>
>
> Hi,
> I found very strange broadcast join behaviour.
> According to this Jira https://issues.apache.org/jira/browse/SPARK-10577
> I'm using hint for broadcast join. (I patched 1.5.1 with
> https://github.com/apache/spark/pull/8801/files )
> I found that working of this feature depends on Executor Memory.
> In my case broadcast join is working up to 31G.
> Example:
> spark1:~/ab$ ~/spark/bin/spark-submit --executor-memory 31G
> debug_broadcast_join.py true
> Creating test tables...
> Joining tables...
> Joined table schema:
> root
> |-- id: long (nullable = true)
> |-- val: long (nullable = true)
> |-- id2: long (nullable = true)
> |-- val2: long (nullable = true)
> Selecting data for id = 5...
> [Row(id=5, val=5, id2=5, val2=5)]
> spark$ ~/spark/bin/spark-submit --executor-memory 32G
> debug_broadcast_join.py true
> Creating test tables...
> Joining tables...
> Joined table schema:
> root
> |-- id: long (nullable = true)
> |-- val: long (nullable = true)
> |-- id2: long (nullable = true)
> |-- val2: long (nullable = true)
> Selecting data for id = 5...
> [Row(id=5, val=5, id2=None, val2=None)]
> Please find example code attached.
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