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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/08/01 23:48:20 UTC
[jira] [Commented] (SPARK-16841) Improves the row level metrics
performance when reading Parquet table
[ https://issues.apache.org/jira/browse/SPARK-16841?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15403053#comment-15403053 ]
Apache Spark commented on SPARK-16841:
--------------------------------------
User 'clockfly' has created a pull request for this issue:
https://github.com/apache/spark/pull/14446
> Improves the row level metrics performance when reading Parquet table
> ---------------------------------------------------------------------
>
> Key: SPARK-16841
> URL: https://issues.apache.org/jira/browse/SPARK-16841
> Project: Spark
> Issue Type: Improvement
> Reporter: Sean Zhong
>
> When reading Parquet table, Spark adds row level metrics like recordsRead, bytesRead (https://github.com/apache/spark/blob/v2.0.0/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileScanRDD.scala#L93).
> The implementation is not very efficient. When parquet vectorized reader is not used, it may take 20% of read time to update these metrics.
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