[
https://issues.apache.org/jira/browse/SPARK-14962?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Justin Foster updated SPARK-14962:
----------------------------------
Description:
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.count // 2
myLoadedDataDF.where("array_field is not null").count // 0 incorrect
was:
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
> 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.count // 2
> myLoadedDataDF.where("array_field is not null").count // 0 incorrect
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