GitHub user clockfly opened a pull request:
https://github.com/apache/spark/pull/13632
[SPARK-15910][SQL] Check schema consistency when using Kryo encoder to
convert DataFrame to Dataset
## What changes were proposed in this pull request?
This PR enforces schema check when converting DataFrame to Dataset using
Kryo encoder. For example.
**Before the change:**
Schema is NOT checked when converting DataFrame to Dataset using kryo
encoder.
```
scala> case class B(b: Int)
scala> implicit val encoder = Encoders.kryo[B]
scala> val df = Seq((1)).toDF("b")
scala> val ds = df.as[B] // Schema compatibility is NOT checked
```
**After the change:**
Report AnalysisException since the schema is NOT compatible.
```
scala> val ds = Seq((1)).toDF("b").as[B]
org.apache.spark.sql.AnalysisException: cannot resolve 'CAST(`b` AS
BINARY)' due to data type mismatch: cannot cast IntegerType to BinaryType;
...
```
## How was this patch tested?
Unit test.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/clockfly/spark spark-15910
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/13632.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 #13632
----
commit 50bb48d6f2a59e2e88fe68699fceac308153e08a
Author: Sean Zhong <[email protected]>
Date: 2016-06-13T04:01:57Z
SPARK-15910: Check schema
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