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| author | windpiger <songjun@outlook.com> | 2017-01-14 10:53:33 -0800 |
|---|---|---|
| committer | gatorsmile <gatorsmile@gmail.com> | 2017-01-14 10:53:33 -0800 |
| commit | 8942353905c354c4ce31b0d1a44d33feb3dcf737 (patch) | |
| tree | 23281a909c8c44da8dc13eede62dcd18a97ba6f7 /data/graphx | |
| parent | b6a7aa4f770634e6db7244e88f8b6273fb9b6d1e (diff) | |
| download | spark-8942353905c354c4ce31b0d1a44d33feb3dcf737.tar.gz spark-8942353905c354c4ce31b0d1a44d33feb3dcf737.tar.bz2 spark-8942353905c354c4ce31b0d1a44d33feb3dcf737.zip | |
[SPARK-19151][SQL] DataFrameWriter.saveAsTable support hive overwrite
## What changes were proposed in this pull request?
After [SPARK-19107](https://issues.apache.org/jira/browse/SPARK-19107), we now can treat hive as a data source and create hive tables with DataFrameWriter and Catalog. However, the support is not completed, there are still some cases we do not support.
This PR implement:
DataFrameWriter.saveAsTable work with hive format with overwrite mode
## How was this patch tested?
unit test added
Author: windpiger <songjun@outlook.com>
Closes #16549 from windpiger/saveAsTableWithHiveOverwrite.
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