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From JoshRosen <...@git.apache.org>
Subject [GitHub] spark pull request: [SPARK-746][CORE][WIP] Added Avro Serializatio...
Date Sat, 27 Jun 2015 23:00:24 GMT
Github user JoshRosen commented on the pull request:

    https://github.com/apache/spark/pull/7004#issuecomment-116164570
  
    Also, to clarify: is this primarily intended to improve the performance of programs written
against the Spark Core API?  For Spark SQL + DataFrames, I think the [spark-avro](https://github.com/databricks/spark-avro)
library will convert the Avro records into Spark SQL's internal Row representation, which
should be more efficient to serialize and shuffle. I'd be curious to know whether you could
see most of these benefits for simpler workflows by using Dataframes and leaving the serialization
up to that.


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