GitHub user sameeragarwal opened a pull request:
https://github.com/apache/spark/pull/13419
[SPARK-15678][SQL] Drop cache on appends and overwrites
## What changes were proposed in this pull request?
SparkSQL currently doesn't drop caches if the underlying data is
overwritten. This PR fixes that behavior.
```scala
val dir = "/tmp/test"
sqlContext.range(1000).write.mode("overwrite").parquet(dir)
val df = sqlContext.read.parquet(dir).cache()
df.count() // outputs 1000
sqlContext.range(10).write.mode("overwrite").parquet(dir)
sqlContext.read.parquet(dir).count() // outputs 1000 instead of 10 <---- We
are still using the cached dataset
```
## How was this patch tested?
Unit tests for overwrites and appends in `ParquetQuerySuite`.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/sameeragarwal/spark drop-cache-on-write
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/13419.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 #13419
----
commit ee631d2d98f72d99da00d8922fc4cf6a66cf063c
Author: Sameer Agarwal <[email protected]>
Date: 2016-05-31T18:27:41Z
Drop cache on appends and overwrites
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