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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