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https://issues.apache.org/jira/browse/SPARK-11894?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15020601#comment-15020601
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Xiao Li commented on SPARK-11894:
---------------------------------
[~marmbrus] [~rxin] [~cloud_fan] I am stuck in this again.
To be honest, I am not familiar with the CodeGen.
When the type is UnsafeRow, the dataset's collect function can return right
answer.
For example,
val ds1 = Seq((null.asInstanceOf[java.lang.Integer], "1"), (new
java.lang.Integer(22), "2")).toDS()
ds1.collect()
When the type is GenericMutableRow, the dataset's collect function is unable to
return right answer.
val newDS = ds1.joinWith(ds1, lit(true))
newDS.collect()
I suspected it is caused by getStruct. I think I am unable to complete it in
the short period. Could you take look at it?
Thank you!
> Incorrect results are returned when using null
> ----------------------------------------------
>
> Key: SPARK-11894
> URL: https://issues.apache.org/jira/browse/SPARK-11894
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 1.6.0
> Reporter: Xiao Li
>
> In DataSet APIs, the following two datasets are the same.
> Seq((new java.lang.Integer(0), "1"), (new java.lang.Integer(22),
> "2")).toDS()
> Seq((null.asInstanceOf[java.lang.Integer],, "1"), (new
> java.lang.Integer(22), "2")).toDS()
> Note: java.lang.Integer is Nullable.
> It could generate an incorrect result. For example,
> val ds1 = Seq((null.asInstanceOf[java.lang.Integer], "1"), (new
> java.lang.Integer(22), "2")).toDS()
> val ds2 = Seq((null.asInstanceOf[java.lang.Integer], "1"), (new
> java.lang.Integer(22), "2")).toDS()//toDF("key", "value").as('df2)
> val res1 = ds1.joinWith(ds2, lit(true)).collect()
> The expected result should be
> ((null,1),(null,1))
> ((22,2),(null,1))
> ((null,1),(22,2))
> ((22,2),(22,2))
> The actual result is
> ((0,1),(0,1))
> ((22,2),(0,1))
> ((0,1),(22,2))
> ((22,2),(22,2))
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