GitHub user gatorsmile opened a pull request:
https://github.com/apache/spark/pull/21821
[SPARK-24867] [SQL] Add AnalysisBarrier to DataFrameWriter
## What changes were proposed in this pull request?
```Scala
val udf1 = udf({(x: Int, y: Int) => x + y})
val df = spark.range(0, 3).toDF("a")
.withColumn("b", udf1($"a", udf1($"a", lit(10))))
df.cache()
df.write.saveAsTable("t")
```
Cache is not being used because the plans do not match with the cached
plan. This is a regression caused by the changes we made in AnalysisBarrier,
since not all the Analyzer rules are idempotent.
## How was this patch tested?
Added a test.
Also found a bug in the DSV1 write path. This is not a regression. Thus,
opened a separate JIRA https://issues.apache.org/jira/browse/SPARK-24869
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/gatorsmile/spark testMaster22
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/21821.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 #21821
----
commit 23ec09fc3bbedd2f34c594daf461cebd9c0295a6
Author: Xiao Li <gatorsmile@...>
Date: 2018-07-19T23:38:44Z
fix
----
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
