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Posted to issues@spark.apache.org by "Sean Zhong (JIRA)" <ji...@apache.org> on 2016/08/01 23:37:20 UTC

[jira] [Updated] (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:all-tabpanel ]

Sean Zhong updated SPARK-16841:
-------------------------------
    Summary: Improves the row level metrics performance when reading Parquet table  (was: Improve the row level metrics performance when reading Parquet table)

> 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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