[jira] [Created] (SPARK-14962) spark.sql.orc.filterPushdown=true breaks DataFrame where functionality

["Justin Foster (JIRA)" <ji...@apache.org>]

Justin Foster created SPARK-14962:
-------------------------------------

             Summary: spark.sql.orc.filterPushdown=true breaks DataFrame where functionality
                 Key: SPARK-14962
                 URL: https://issues.apache.org/jira/browse/SPARK-14962
             Project: Spark
          Issue Type: Bug
          Components: SQL
    Affects Versions: 1.5.2
            Reporter: Justin Foster


When running spark-shell with the configuration "spark.sql.orc.filterPushdown=true", the DataFrame function where and filter have an error. In particular, "column is not null" fails.

Example Code:

import sqlContext.implicits._
case class MyData(string_field: String, array_field: Seq[String])

val myDataArray = Array(
    MyData("foo", Seq("bar")),
    MyData("foobar", null)
)

val myDataDF = sc.parallelize(myDataArray).toDF
myDataDF.count // 2
myDataDF.where("array_field is null").count // 1
myDataDF.where("array_field is not null").count // 1

myDataDF.write.format("orc").save("/tmp/mydata.orc")

val myLoadedDataDF = sqlContext.read.format("orc").load("/tmp/mydata.orc")
myLoadedDataDF.where("array_field is not null").count // 2
myLoadedDataDF.where("array_field is not null").count // 0 incorrect




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