GitHub user windpiger opened a pull request:
https://github.com/apache/spark/pull/16828
[SPARK-19484][SQL]continue work to create hive table with an empty schema
## What changes were proposed in this pull request?
after [SPARK-19279](https://issues.apache.org/jira/browse/SPARK-19279), we
could not create a Hive table with an empty schema,
we should tighten up the condition when create a hive table in
https://github.com/apache/spark/blob/master/sql/hive/src/main/scala/org/apache/spark/sql/hive/client/HiveClientImpl.scala#L835
That is if a CatalogTable t has an empty schema, and (there is no
`spark.sql.schema.numParts` or its value is 0), we should not add a default
`col` schema, if we did, a table with an empty schema will be created, that is
not we expected.
## How was this patch tested?
N/A
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/windpiger/spark
improveCreateTableWithEmptySchema
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/16828.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 #16828
----
commit 40f28965f48c2de2cb02eb5a26a52a4ca27bda5b
Author: windpiger <song...@outlook.com>
Date: 2017-02-07T06:00:46Z
[SPARK-19484][SQL]continue work to create hive table with an empty schema
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