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Posted to issues@spark.apache.org by "Kevin Chen (JIRA)" <ji...@apache.org> on 2016/06/24 00:39:16 UTC

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

Kevin Chen created SPARK-16181:
----------------------------------

             Summary: 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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