GitHub user dongjoon-hyun opened a pull request:
https://github.com/apache/spark/pull/17366
[SPARK-19970][SQL][BRANCH-1.6] Table owner should be USER instead of
PRINCIPAL in kerberized clusters
## What changes were proposed in this pull request?
In the kerberized hadoop cluster, when Spark creates tables, the owner of
tables are filled with PRINCIPAL strings instead of USER names. This is
inconsistent with Hive and causes problems when using
[ROLE](https://cwiki.apache.org/confluence/display/Hive/SQL+Standard+Based+Hive+Authorization)
in Hive. We had better to fix this. For Apache Spark 1.6, it happens only with
`CREATE TABLE ... AS SELECT` (CTAS) statement.
**BEFORE**
```scala
scala> sql("create table t_ctas as select 1").show
scala> sql("desc formatted t_ctas").show(false)
...
|Owner: |[email protected]
| |
```
**AFTER**
```scala
scala> sql("create table t_ctas as select 1").show
scala> sql("desc formatted t_ctas").show(false)
...
|Owner: |spark
| |
```
## How was this patch tested?
Manually do `create table` and `desc formatted` because this happens in
Kerberized clusters.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/dongjoon-hyun/spark SPARK-19970-BRANCH-1.6
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/17366.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 #17366
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