[ 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. -- 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