Hi,
Would the same issue be present for other Java type like Date ?
Converting the person/teenager example on Patricks page reproduces the
problem ...
Thanks,
scala import scala.math
import scala.math
scala case class Person(name: String, age: BigDecimal)
defined class Person
scala val people =
sc.textFile(/data/spark/examples/src/main/resources/people.txt).map(_.split(,)).map(p
= Person(p(0), BigDecimal(p(1).trim.toInt)))
14/03/31 00:23:40 INFO MemoryStore: ensureFreeSpace(32960) called with
curMem=0, maxMem=308713881
14/03/31 00:23:40 INFO MemoryStore: Block broadcast_0 stored as values to
memory (estimated size 32.2 KB, free 294.4 MB)
people: org.apache.spark.rdd.RDD[Person] = MappedRDD[3] at map at
console:20
scala people take 1
...
scala val t = people.where('age 12 )
scala.MatchError: scala.BigDecimal (of class
scala.reflect.internal.Types$TypeRef$$anon$3)
at
org.apache.spark.sql.catalyst.ScalaReflection$.schemaFor(ScalaReflection.scala:41)
at
org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$schemaFor$1.apply(ScalaReflection.scala:45)
at
org.apache.spark.sql.catalyst.ScalaReflection$$anonfun$schemaFor$1.apply(ScalaReflection.scala:45)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
at scala.collection.immutable.List.foreach(List.scala:318)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
at scala.collection.AbstractTraversable.map(Traversable.scala:105)
at
org.apache.spark.sql.catalyst.ScalaReflection$.schemaFor(ScalaReflection.scala:45)
at
org.apache.spark.sql.catalyst.ScalaReflection$.schemaFor(ScalaReflection.scala:38)
at
org.apache.spark.sql.catalyst.ScalaReflection$.attributesFor(ScalaReflection.scala:32)
at
org.apache.spark.sql.execution.ExistingRdd$.fromProductRdd(basicOperators.scala:128)
at org.apache.spark.sql.SQLContext.createSchemaRDD(SQLContext.scala:79)
at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.init(console:22)
at $iwC$$iwC$$iwC$$iwC$$iwC.init(console:27)
at $iwC$$iwC$$iwC$$iwC.init(console:29)
at $iwC$$iwC$$iwC.init(console:31)
at $iwC$$iwC.init(console:33)
at $iwC.init(console:35)
at init(console:37)
at .init(console:41)
at .clinit(console)
at .init(console:7)
at .clinit(console)
at $print(console)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:601)
at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:777)
at
org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1045)
at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:614)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:645)
at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:609)
at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:795)
at
org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:840)
at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:752)
at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:600)
at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:607)
at org.apache.spark.repl.SparkILoop.loop(SparkILoop.scala:610)
at
org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:935)
at
org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:883)
at
org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:883)
at
scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:883)
at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:981)
at org.apache.spark.repl.Main$.main(Main.scala:31)
at org.apache.spark.repl.Main.main(Main.scala)
On Sun, Mar 30, 2014 at 11:04 AM, Aaron Davidson ilike...@gmail.com wrote:
Well, the error is coming from this case statement not matching on the
BigDecimal type:
https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/ScalaReflection.scala#L41
This seems to be a bug because there is a corresponding Catalyst DataType
for BigDecimal, just no way to produce a schema for it. A patch should be
straightforward enough to match against typeOf[BigDecimal] assuming this
was not for some reason intentional.
On Sun, Mar 30, 2014 at 10:43 AM, smallmonkey...@hotmail.com
smallmonkey...@hotmail.com wrote:
can I get the whole operation? then i can try to locate the error
--
smallmonkey...@hotmail.com
*From:* Manoj Samel manojsamelt...@gmail.com
*Date:* 2014-03-31 01:16
*To:* user user@spark.apache.org
*Subject:* SparkSQL where with BigDecimal type gives stacktrace
Hi,
If I do a where on BigDecimal, I get a stack trace. Changing
