GitHub user andrewor14 opened a pull request:
https://github.com/apache/spark/pull/13490
[SPARK-15722][SQL] Disallow specifying schema in CTAS statement
## What changes were proposed in this pull request?
As of this patch, this leads to an exception because the schemas may not
match:
```
CREATE TABLE students (age INT, name STRING) AS SELECT * FROM boxes
```
but this is OK:
```
CREATE TABLE students AS SELECT * FROM boxes
```
this is also OK because there's not an existing schema for us to borrow
from:
```
CREATE TABLE students (age INT, name STRING) AS SELECT 1, 'hello'
```
## How was this patch tested?
SQLQuerySuite, HiveDDLCommandSuite
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/andrewor14/spark ctas-no-column
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/13490.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 #13490
----
commit 1e3704550dde279215a49db41cfa3bdbd44809d4
Author: Andrew Or <and...@databricks.com>
Date: 2016-06-02T01:04:14Z
Ban CTAS with schema
commit 347d8b361ecc21c446e6b5186e2af2e519c5d549
Author: Andrew Or <and...@databricks.com>
Date: 2016-06-02T01:08:45Z
Fix tests
commit fc372f5d487109bf5cf7cc59f41f38004f2bc108
Author: Andrew Or <and...@databricks.com>
Date: 2016-06-03T01:13:18Z
Fix tests
Now we throw an exception only if the SELECT statement actually
reads from a table, which has a schema.
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