[ https://issues.apache.org/jira/browse/SPARK-22221?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Takuya Ueshin updated SPARK-22221: ---------------------------------- Target Version/s: 2.3.0 > Add User Documentation for Working with Arrow in Spark > ------------------------------------------------------ > > Key: SPARK-22221 > URL: https://issues.apache.org/jira/browse/SPARK-22221 > Project: Spark > Issue Type: Sub-task > Components: PySpark, SQL > Affects Versions: 2.3.0 > Reporter: Bryan Cutler > Priority: Major > > There needs to be user facing documentation that will show how to enable/use > Arrow with Spark, what the user should expect, and describe any differences > with similar existing functionality. > A comment from Xiao Li on https://github.com/apache/spark/pull/18664 > Given the users/applications contain the Timestamp in their Dataset and their > processing algorithms also need to have the codes based on the corresponding > time-zone related assumptions. > * For the new users/applications, they first enabled Arrow and later hit an > Arrow bug? Can they simply turn off spark.sql.execution.arrow.enable? If not, > what should they do? > * For the existing users/applications, they want to utilize Arrow for better > performance. Can they just turn on spark.sql.execution.arrow.enable? What > should they do? > Note Hopefully, the guides/solutions are user-friendly. That means, it must > be very simple to understand for most users. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org