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Posted to issues@spark.apache.org by "Maciej Bryński (JIRA)" <ji...@apache.org> on 2016/06/30 07:22:10 UTC

[jira] [Created] (SPARK-16320) Spark 2.0 slower than 1.6 when querying nested columns

Maciej Bryński created SPARK-16320:
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             Summary: Spark 2.0 slower than 1.6 when querying nested columns
                 Key: SPARK-16320
                 URL: https://issues.apache.org/jira/browse/SPARK-16320
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 2.0.0
            Reporter: Maciej Bryński


I did some test on parquet file with many nested columns (about 30G in
400 partitions) and Spark 2.0 is sometimes slower.

I tested following queries:
1) select count(*) where id > some_id
In this query performance is similar. (about 1 sec)

2) select count(*) where nested_column.id > some_id
Spark 1.6 -> 1.6 min
Spark 2.0 -> 2.1 min

Should I expect such a drop in performance ?

I don't know how to prepare sample data to show the problem.
Any ideas ? Or public data with many nested columns ?



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