[jira] [Created] (SPARK-22221) Add User Documentation for Working with Arrow in Spark

["Bryan Cutler (JIRA)" <ji...@apache.org>]

Bryan Cutler created SPARK-22221:
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             Summary: 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


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.



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