GitHub user sergey-rubtsov opened a pull request:
https://github.com/apache/spark/pull/20140
[SPARK-19228][SQL] Introduce tryParseDate method to process csv date,â¦
⦠add a type-widening rule in findTightestCommonType between DateType and
TimestampType, add java.time.format.DateTimeFormatter to more accurately infer
the type of time, add an end-to-end test case and unit test
## What changes were proposed in this pull request?
By design 'TimestampType' (8 bytes) is larger than 'DateType' (4 bytes).
But when a date is parsed, an option "dateFormat" is ignored and default
date format ("yyyy-MM-dd") is using and the date is parsed as timestamp.
This patch fixes that bug.
For other details, please, read the ticket
https://issues.apache.org/jira/browse/SPARK-19228
## How was this patch tested?
Add an end-to-end test case and unit test
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/sergey-rubtsov/spark master
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/20140.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 #20140
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commit d2ed68673082995bee65a3c58be8b71642a60d57
Author: sergei.rubtcov <sergei.rubtcov@...>
Date: 2018-01-03T10:50:26Z
[SPARK-19228][SQL] Introduce tryParseDate method to process csv date, add a
type-widening rule in findTightestCommonType between DateType and
TimestampType, add java.time.format.DateTimeFormatter to more accurately infer
the type of time, add an end-to-end test case and unit test
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