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https://issues.apache.org/jira/browse/SPARK-21375?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16580275#comment-16580275
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Eric Wohlstadter commented on SPARK-21375:
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[~bryanc]
Hi Brian,
I'm using the Spark-Arrow conversion support inside of a DataSourceV2
{{SupportsColumnBatchScan}} DataReader. It uses {{ArrowStreamReader}} to read
from the external data source, and converts the input from the stream to
Spark's {{ArrowColumnVector}}.
I'm having trouble when the original input comes from a Hive TimeStamp (without
timezone). It looks like {{ArrowColumnVector}} requires
{{TimeStampMicroTZVector.}}
So I need to fill in a time zone when creating the {{TimeStampMicroTZVector}}
on the Writer-side of the arrow stream.
This creates some inconsistency when the two ends of the arrow stream are in
different time zones.
I'm wondering if I might be missing some other way of handling this correctly.
Would you happen to know a better way to handle conversion of Timestamp
(without time zone) using the Spark-Arrow conversion support?
/cc [~dongjoon] [~hyukjin.kwon]
> Add date and timestamp support to ArrowConverters for toPandas() collection
> ---------------------------------------------------------------------------
>
> Key: SPARK-21375
> URL: https://issues.apache.org/jira/browse/SPARK-21375
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark, SQL
> Affects Versions: 2.3.0
> Reporter: Bryan Cutler
> Assignee: Bryan Cutler
> Priority: Major
> Fix For: 2.3.0
>
>
> Date and timestamp are not yet supported in DataFrame.toPandas() using
> ArrowConverters. These are common types for data analysis used in both Spark
> and Pandas and should be supported.
> There is a discrepancy with the way that PySpark and Arrow store timestamps,
> without timezone specified, internally. PySpark takes a UTC timestamp that
> is adjusted to local time and Arrow is in UTC time. Hopefully there is a
> clean way to resolve this.
> Spark internal storage spec:
> * *DateType* stored as days
> * *Timestamp* stored as microseconds
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