GitHub user BryanCutler opened a pull request:
https://github.com/apache/spark/pull/19646
[SPARK-22147][PYTHON] Fix for createDataFrame from pandas.DataFrame with
timestamp
## What changes were proposed in this pull request?
Currently, a pandas.DataFrame that contains a timestamp of type
'datetime64[ns]' when converted to a Spark DataFrame with `createDataFrame`
will interpret the values as LongType. This fix will check for a timestamp type
and convert it to microseconds which will allow Spark to read as TimestampType.
## How was this patch tested?
Added unit test to verify Spark schema is expected for TimestampType and
DateType when created from pandas
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/BryanCutler/spark
pyspark-non-arrow-createDataFrame-ts-fix-SPARK-22417
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/19646.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #19646
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commit cca6757b36fbe8a73a81570625f5efa6e24bd8c6
Author: Bryan Cutler <[email protected]>
Date: 2017-11-02T23:03:00Z
added fix for pandas timestamp to convert to microseconds for
createDataFrame
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