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https://issues.apache.org/jira/browse/SPARK-12371?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Lian updated SPARK-12371:
-------------------------------
Summary: Make sure non-nullable arguments of NewInstance don't receive null
input data (was: Make sure Dataset nullability conforms to its underlying
logical plan)
> Make sure non-nullable arguments of NewInstance don't receive null input data
> -----------------------------------------------------------------------------
>
> Key: SPARK-12371
> URL: https://issues.apache.org/jira/browse/SPARK-12371
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 1.6.0, 2.0.0
> Reporter: Cheng Lian
> Assignee: Apache Spark
>
> Currently it's possible to construct a Dataset with different nullability
> from its underlying logical plan, which should be caught during analysis
> phase:
> {code}
> val rowRDD = sqlContext.sparkContext.parallelize(Seq(Row("hello"), Row(null)))
> val schema = StructType(Seq(StructField("_1", StringType, nullable = false)))
> val df = sqlContext.createDataFrame(rowRDD, schema)
> df.as[Tuple1[String]].collect().foreach(println)
> // Output:
> //
> // (hello)
> // (null)
> {code}
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