GitHub user dongjoon-hyun opened a pull request:
https://github.com/apache/spark/pull/19094
[SPARK-21884][SQL] Fix StackOverflowError on MetadataOnlyQuery
## What changes were proposed in this pull request?
This PR aims to fix StackOverflowError in `branch-2.2`. This happens when
`OptimizeMetadataOnlyQuery` returns `LocalRelation` with partition informations
without materializations. `master` branch has the same logic, but it doesn't
throw StackOverflowError due to the other patches.
```scala
scala> spark.version
res0: String = 2.2.0
scala> sql("CREATE TABLE t_1000 (a INT, p INT) USING PARQUET PARTITIONED BY
(p)")
res1: org.apache.spark.sql.DataFrame = []
scala> (1 to 1000).foreach(p => sql(s"ALTER TABLE t_1000 ADD PARTITION
(p=$p)"))
scala> sql("SELECT COUNT(DISTINCT p) FROM t_1000").collect
java.lang.StackOverflowError
at
java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1522)
```
## How was this patch tested?
Pass the Jenkins with a new test case.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/dongjoon-hyun/spark SPARK-21884
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/19094.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 #19094
----
commit 07126f7f0ab0eb05d312b93d9b3f0b6592770345
Author: Dongjoon Hyun <[email protected]>
Date: 2017-08-31T10:08:13Z
[SPARK-21884][SQL] Fix StackOverflowError on MetadataOnlyQuery
----
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