[
https://issues.apache.org/jira/browse/SPARK-13908?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15201190#comment-15201190
]
Apache Spark commented on SPARK-13908:
--------------------------------------
User 'viirya' has created a pull request for this issue:
https://github.com/apache/spark/pull/11817
> 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
> Labels: 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}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
