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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/03/27 15:42:19 UTC

[GitHub] [spark] pgandhi999 edited a comment on issue #24149: [SPARK-27207] : Ensure aggregate buffers are initialized again for So…

pgandhi999 edited a comment on issue #24149: [SPARK-27207] : Ensure aggregate buffers are initialized again for So…
URL: https://github.com/apache/spark/pull/24149#issuecomment-477216239
 
 
   @cloud-fan So after going through the code, I see that we are calling `update` and `merge` for different copies of aggregatefunctions but are using the buffer created for one copy of aggregatefunction. I am really not an expert with the aggregation framework so was wondering if you could guide me here by elaborating more about how Spark aggregate functions use the aggregation buffer? Thank you.

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