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| author | windpiger <songjun@outlook.com> | 2017-01-22 11:41:27 +0800 |
|---|---|---|
| committer | Wenchen Fan <wenchen@databricks.com> | 2017-01-22 11:41:27 +0800 |
| commit | aa014eb74bec332ca4d734f2501a4a01a806fa37 (patch) | |
| tree | 36b8540260344fb181dc0127d858920a06ff5493 /R | |
| parent | 6113fe78a5195d3325690703b20000bed6e9efa5 (diff) | |
| download | spark-aa014eb74bec332ca4d734f2501a4a01a806fa37.tar.gz spark-aa014eb74bec332ca4d734f2501a4a01a806fa37.tar.bz2 spark-aa014eb74bec332ca4d734f2501a4a01a806fa37.zip | |
[SPARK-19153][SQL] DataFrameWriter.saveAsTable work with create partitioned table
## What changes were proposed in this pull request?
After [SPARK-19107](https://issues.apache.org/jira/browse/SPARK-19153), 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 provide DataFrameWriter.saveAsTable work with hive format to create partitioned table.
## How was this patch tested?
unit test added
Author: windpiger <songjun@outlook.com>
Closes #16593 from windpiger/saveAsTableWithPartitionedTable.
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