[ https://issues.apache.org/jira/browse/SPARK-5318?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-5318. ------------------------------ Resolution: Won't Fix > Add ability to control partition count in SparkSql > -------------------------------------------------- > > Key: SPARK-5318 > URL: https://issues.apache.org/jira/browse/SPARK-5318 > Project: Spark > Issue Type: New Feature > Components: SQL > Reporter: Idan Zalzberg > > When using SparkSql, e.g. sqlContext.sql("..."), spark might need to read > hadoop files. > However, unlike the hadoopFile API, there is no documented way to set the > minimal partition count when reading. > There is an undocumented way, though, using "mapred.map.tasks" in hiveConf > I suggest we make a documented way to do it, in the exact same way (possibly > with a better name) -- 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