[ https://issues.apache.org/jira/browse/SPARK-18362?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Josh Rosen updated SPARK-18362: ------------------------------- Summary: Use TextFileFormat in implementation of CSVFileFormat (was: Use TextFileFormat in implementation of JsonFileFormat and CSVFileFormat) > Use TextFileFormat in implementation of CSVFileFormat > ----------------------------------------------------- > > Key: SPARK-18362 > URL: https://issues.apache.org/jira/browse/SPARK-18362 > Project: Spark > Issue Type: Improvement > Components: SQL > Reporter: Josh Rosen > Assignee: Josh Rosen > > Spark's CSVFileFormat and JsonFileFormat data sources use inefficient methods > for reading files during schema inference and do not benefit from file > listing / IO performance improvements made in Spark 2.0. In order to fix this > performance problem, we should re-implement those read paths in terms of > TextFileFormat. -- 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