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Posted to issues@spark.apache.org by "Sean Zhong (JIRA)" <ji...@apache.org> on 2016/08/01 23:35:20 UTC
[jira] [Created] (SPARK-16841) Improve the row level metrics
performance when reading Parquet table
Sean Zhong created SPARK-16841:
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Summary: Improve 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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