[jira] [Assigned] (SPARK-16181) Incorrect behavior for isNull filter

["Apache Spark (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-16181?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-16181:
------------------------------------

    Assignee:     (was: Apache Spark)

> Incorrect behavior for isNull filter
> ------------------------------------
>
>                 Key: SPARK-16181
>                 URL: https://issues.apache.org/jira/browse/SPARK-16181
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.0.0
>            Reporter: Kevin Chen
>
> Repro:
>         JavaRDD<Row> leftRdd = javaSparkContext.parallelize(ImmutableList.of(RowFactory.create("x")));
>         JavaRDD<Row> rightRdd = javaSparkContext.parallelize(ImmutableList.of(RowFactory.create("y")));
>         StructType schema = DataTypes.createStructType(ImmutableList.of(
>                 DataTypes.createStructField("col", DataTypes.StringType, true)));
>         Dataset<Row> left = sparkSession.createDataFrame(leftRdd, schema);
>         Dataset<Row> right = sparkSession.createDataFrame(rightRdd, schema);
>         // add a column to the right
>         Dataset<Row> withConstantColumn = right.withColumn("new", functions.lit(true));
>         // do a left join. Nothing matches; expect Dataset joined to have a single row ['x', null, null]
>         Column joinCondition = left.col("col").equalTo(right.col("col"));
>         Dataset<Row> joined = left.join(withConstantColumn, joinCondition, LeftOuter.toString());
>         //  filter for nulls, still expect the single row ['x', null, null]
>         Dataset<Row> filtered = joined.filter(functions.col("new").isNull());
>         // This fails with 1 != 0
>         Assert.assertEquals(1, filtered.count());
> [~rxin]



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