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From Manoj Samel <manojsamelt...@gmail.com>
Subject Re: SparkSQL "where" with BigDecimal type gives stacktrace
Date Mon, 31 Mar 2014 00:35:16 GMT
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 <ilikerps@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, smallmonkey491@hotmail.com <
> smallmonkey491@hotmail.com> wrote:
>
>>  can I get the whole operation? then i can try to locate  the error
>>
>> ------------------------------
>>  smallmonkey491@hotmail.com
>>
>>  *From:* Manoj Samel <manojsameltech@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 BigDecimal
>> to Double works ...
>> ....
>>  scala> case class JournalLine(account: String, credit: BigDecimal,
>> debit: BigDecimal, date: String, company: String, currency: String,
>> costcenter: String, region: String)
>> defined class JournalLine
>> ...
>>  scala> jl.where('credit > 0).foreach(println)
>> scala.MatchError: scala.BigDecimal (of class
>> scala.reflect.internal.Types$TypeRef$$anon$3)
>> at
>> org.apache.sparksql.catalyst.ScalaReflection$.schemaFor(ScalaReflection.scala:41)
>> at
>> org.apache.spark.sql.catalyst.ScalaReflection$$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>:39)
>> at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:44)
>> at $iwC$$iwC$$iwC$$iwC.<init>(<console>:46)
>> at $iwC$$iwC$$iwC.<init>(<console>:48)
>> at $iwC$$iwC.<init>(<console>:50)
>> at $iwC.<init>(<console>:52)
>> at <init>(<console>:54)
>> at .<init>(<console>:58)
>> 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)
>>
>> Thanks,
>>
>>
>>
>

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