GitHub user gatorsmile opened a pull request:
https://github.com/apache/spark/pull/14729
[SPARK-17167] [SQL] Issue Exceptions when Analyze Table on In-Memory
Cataloged Tables
### What changes were proposed in this pull request?
Currently, `Analyze Table` is only used for Hive-serde tables. We should
issue exceptions in all the other cases. When the tables are data source
tables, we issued an exception. However, when tables are In-Memory Cataloged
tables, we do not issue any exception.
This PR is to issue an exception when the tables are in-memory cataloged.
For example,
```SQL
CREATE TABLE tbl(a INT, b INT) USING parquet
```
`tbl` is a `SimpleCatalogRelation` when the hive support is not enabled.
### How was this patch tested?
Added two test cases. One of them is just to improve the test coverage when
the analyzed table is data source tables.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/gatorsmile/spark
analyzeInMemoryCatalogedTables
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14729.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 #14729
----
commit 1b03d32eb41c07454ae8262ba009b90a818f6000
Author: gatorsmile <gatorsm...@gmail.com>
Date: 2016-08-20T06:36:42Z
fix.
commit a3485651983247aadcc214c9121bd89ee8ce7f06
Author: gatorsmile <gatorsm...@gmail.com>
Date: 2016-08-20T06:50:34Z
add one more test case
commit a8dd663fc25c52cd0a2dbf0eb259f6f6c66ce55d
Author: gatorsmile <gatorsm...@gmail.com>
Date: 2016-08-20T06:50:51Z
fix style
commit bb3fd8f3f88f651dec7d8adb5650b80336c23443
Author: gatorsmile <gatorsm...@gmail.com>
Date: 2016-08-20T07:01:14Z
improved the test cases
----
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