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From "Rosner, Frank (Allianz SE)" <FRANK.ROS...@ALLIANZ.COM>
Subject RE: Pattern Matching / Equals on Case Classes in Spark Not Working
Date Tue, 13 Jan 2015 17:00:10 GMT
Yep it is in the REPL. I will try your solution and also to submit the whole thing as a job
jar. If this is true, this should be fixed, right? I will check whether there is a ticket
already. Somebody pointed me to but I need
to investigate.


From: Matei Zaharia []
Sent: Montag, 12. Januar 2015 19:54
To: Rosner, Frank (Allianz SE)
Subject: Re: Pattern Matching / Equals on Case Classes in Spark Not Working

Is this in the Spark shell? Case classes don't work correctly in the Spark shell unfortunately
(though they do work in the Scala shell) because we change the way lines of code compile to
allow shipping functions across the network. The best way to get case classes in there is
to compile them into a JAR and then add that to your spark-shell's classpath with --jars.


On Jan 12, 2015, at 10:04 AM, Rosner, Frank (Allianz SE) <FRANK.ROSNER@ALLIANZ.COM<mailto:FRANK.ROSNER@ALLIANZ.COM>>

Dear Spark Users,

I googled the web for several hours now but I don't find a solution for my problem. So maybe
someone from this list can help.

I have an RDD of case classes, generated from CSV files with Spark. When I used the distinct
operator, there were still duplicates. So I investigated and found out that the equals returns
false although the two objects were equal (so were their individual fields as well as toStrings).

After googling it I found that the case class equals might break in case the two objects are
created by different class loaders. So I implemented my own equals method using mattern matching
(code example below). It still didn't work. Some debugging revealed that the problem lies
in the pattern matching. Depending on the objects I compare (and maybe the split / classloader
they are generated in?) the patternmatching works /doesn't:

case class Customer(id: String, age: Option[Int], entryDate: Option[java.util.Date]) {
  def equals(that: Any): Boolean = that match {
    case Customer(id, age, entryDate) => {
      println("Pattern matching worked!") == id && this.age == age && this.entryDate == entryDate
    case _ => false

//val x: Array[Customer]
// ... some spark code to filter original data and collect x

scala> x(0)
Customer("a", Some(5), Some(Fri Sep 23 00:00:00 CEST 1994))
scala> x(1)
Customer("a", None, None)
scala> x(2)
Customer("a", None, None)
scala> x(3)
Customer("a", None, None)

scala> x(0) == x(0) // should be true and works
Pattern matching works!
res0: Boolean = true
scala> x(0) == x(1) // should be false and works
Pattern matching works!
res1: Boolean = false
scala> x(1) == x(2) // should be true, does not work
res2: Boolean = false
scala> x(2) == x(3) // should be true, does not work
Pattern matching works!
res3: Boolean = true
scala> x(0) == x(3) // should be false, does not work
res4: Boolean = false

Why is the pattern matching not working? It seems that there are two kinds of Customers: 0,1
and 2,3 which don't match somehow. Is this related to some classloaders? Is there a way around
this other than using instanceof and defining a custom equals operation for every case class
I write?

Thanks for the help!

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