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From clockfly <>
Subject [GitHub] spark pull request #13632: [SPARK-15910][SQL] Check schema consistency when ...
Date Mon, 13 Jun 2016 04:17:02 GMT
GitHub user clockfly opened a pull request:

    [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 =[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 spark-15910

Alternatively you can review and apply these changes as the patch at:

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 <>
Date:   2016-06-13T04:01:57Z

    SPARK-15910: Check schema


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