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https://issues.apache.org/jira/browse/SPARK-16320?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Maciej Bryński updated SPARK-16320:
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Description:
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 ?
was:
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 ?
> 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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