GitHub user liancheng opened a pull request:
https://github.com/apache/spark/pull/12734
Add PARTITION BY and BUCKET BY clause for "CREATE TABLE ... USING ..."
syntax
## What changes were proposed in this pull request?
Currently, we can only create persisted partitioned and/or bucketed data
source tables using the Dataset API but not using SQL DDL. This PR implements
the following syntax to add partitioning and bucketing support to the SQL DDL:
```sql
CREATE TABLE <table-name>
USING <provider> [OPTIONS (<key1> <value1>, <key2> <value2>, ...)]
[PARTITIONED BY (col1, col2, ...)]
[CLUSTERED BY (col1, col2, ...) [SORTED BY (col1, col2, ...)] INTO <n>
BUCKETS]
```
## How was this patch tested?
Test cases are added in `MetastoreDataSourcesSuite` to check the newly
added syntax.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/liancheng/spark spark-14954
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/12734.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 #12734
----
commit f51300c6ed22a54ff1dc49262cd046774166d957
Author: Cheng Lian <l...@databricks.com>
Date: 2016-04-27T13:06:53Z
Add PARTITION BY and BUCKET BY clause for "CREATE TABLE ... USING ..."
syntax
commit af973d64cf3e1079e6c8a185d826e2e43cb06532
Author: Cheng Lian <l...@databricks.com>
Date: 2016-04-27T13:33:13Z
Moves test case to MetastoreDataSourcesSuite
Also checks for metastore table properties
----
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