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https://issues.apache.org/jira/browse/SPARK-13908?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-13908:
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Labels: bulk-closed performance (was: performance)
> Limit not pushed down
> ---------------------
>
> Key: SPARK-13908
> URL: https://issues.apache.org/jira/browse/SPARK-13908
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.0.0
> Environment: Spark compiled from git with commit 53ba6d6
> Reporter: Luca Bruno
> Priority: Major
> Labels: bulk-closed, performance
>
> Hello,
> I'm doing a simple query like this on a single parquet file:
> {noformat}
> SELECT *
> FROM someparquet
> LIMIT 1
> {noformat}
> The someparquet table is just a parquet read and registered as temporary
> table.
> The query takes as much time (minutes) as it would by scanning all the
> records, instead of just taking the first record.
> Using parquet-tools head is instead very fast (seconds), hence I guess it's a
> missing optimization opportunity from spark.
> The physical plan is the following:
> {noformat}
> == Physical Plan ==
>
> CollectLimit 1
> +- WholeStageCodegen
> : +- Scan ParquetFormat part: struct<>, data: struct<........>[...]
> InputPaths: hdfs://...
> {noformat}
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