Kapil Singh created SPARK-11447:
-----------------------------------
Summary: Null comparison requires type information but type
extraction fails for complex types
Key: SPARK-11447
URL: https://issues.apache.org/jira/browse/SPARK-11447
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 1.5.1
Reporter: Kapil Singh
While comparing a Column to a null literal, comparison works only if type of
null literal matches type of the Column it's being compared to. Example scala
code (can be run from spark shell):
import org.apache.spark.sql._
import org.apache.spark.sql.types._
import org.apache.spark.sql.catalyst.expressions._
val inputRowsData = Seq(Seq("abc"),Seq(null),Seq("xyz"))
val inputRows = for(seq <- inputRowsData) yield Row.fromSeq(seq)
val dfSchema = StructType(Seq(StructField("column", StringType, true)))
val df = sqlContext.createDataFrame(sc.makeRDD(inputRows), dfSchema)
//DOESN'T WORK
val filteredDF = df.filter(df("column") <=> (new Column(Literal(null))))
//WORKS
val filteredDF = df.filter(df("column") <=> (new Column(Literal.create(null,
SparkleFunctions.dataType(df("column"))))))
Why should type information be required for a null comparison? If it's
required, it's not always possible to extract type information from complex
types (e.g. StructType). Following scala code (can be run from spark shell),
throws org.apache.spark.sql.catalyst.analysis.UnresolvedException:
import org.apache.spark.sql._
import org.apache.spark.sql.types._
import org.apache.spark.sql.catalyst.expressions._
val inputRowsData = Seq(Seq(Row.fromSeq(Seq("abc",
"def"))),Seq(Row.fromSeq(Seq(null, "123"))),Seq(Row.fromSeq(Seq("ghi", "jkl"))))
val inputRows = for(seq <- inputRowsData) yield Row.fromSeq(seq)
val dfSchema = StructType(Seq(StructField("column",
StructType(Seq(StructField("p1", StringType, true), StructField("p2",
StringType, true))), true)))
val filteredDF = df.filter(df("column")("p1") <=> (new
Column(Literal.create(null, SparkleFunctions.dataType(df("column")("p1"))))))
org.apache.spark.sql.catalyst.analysis.UnresolvedException: Invalid call to
dataType on unresolved object, tree: column#0[p1]
at
org.apache.spark.sql.catalyst.analysis.UnresolvedExtractValue.dataType(unresolved.scala:243)
at
org.apache.spark.sql.ArithmeticFunctions$class.dataType(ArithmeticFunctions.scala:76)
at
org.apache.spark.sql.SparkleFunctions$.dataType(SparkleFunctions.scala:14)
at
$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:38)
at
$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:43)
at
$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:45)
at
$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:47)
at
$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:49)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:51)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:53)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:55)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:57)
at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:59)
at $iwC$$iwC$$iwC$$iwC.<init>(<console>:61)
at $iwC$$iwC$$iwC.<init>(<console>:63)
at $iwC$$iwC.<init>(<console>:65)
at $iwC.<init>(<console>:67)
at <init>(<console>:69)
at .<init>(<console>:73)
at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at
org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
at
org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1340)
at
org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
at
org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
at
org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
at
org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670)
at
org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997)
at
org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at
org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
at
scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at
org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at
org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:672)
at
org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:180)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:205)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:120)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
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