GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/14752
[SPARK-17186][SQL] remove catalog table type INDEX
## What changes were proposed in this pull request?
Actually Spark SQL doesn't support index, the catalog table type `INDEX` is
from Hive. However, most operations in Spark SQL can't handle index table, e.g.
create table, alter table, etc.
Logically index table should be invisible to end users, and Hive also
generates special table name for index table to avoid users accessing it
directly. Hive has special SQL syntax to create/show/drop index tables.
At Spark SQL side, although we can describe index table directly, but the
result is unreadable, we should use the dedicated SQL syntax to do it(e.g.
`SHOW INDEX ON tbl`). Spark SQL can also read index table directly, but the
result is always empty.(Can hive read index table directly?)
This PR remove the table type `INDEX`, to make it clear that Spark SQL
doesn't support index currently.
## How was this patch tested?
existing tests.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/cloud-fan/spark minor2
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14752.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 #14752
----
commit d2bc794767eef9a357c7cb77cdef017403516cb9
Author: Wenchen Fan <wenc...@databricks.com>
Date: 2016-08-22T13:41:18Z
remove catalog table type INDEX
----
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
