Exception which using ReduceByKeyAndWindow in Spark Streaming.

[SRK]

Hi,

I see the following error when I use ReduceByKeyAndWindow in my Spark
Streaming app. I use reduce, invReduce and filterFunction as shown below.
Any idea as to why I get the error?

 java.lang.Exception: Neither previous window has value for key, nor new
values found. Are you sure your key class hashes consistently?


  def reduceWithHashSet: ((Long, HashSet[String]), (Long, HashSet[String]))
=> (Long, HashSet[String])= {
    case ((timeStamp1: Long, set1: HashSet[String]), (timeStamp2: Long,
set2: HashSet[String])) => (Math.max(timeStamp1, timeStamp2), set1 ++set2 )

  }

  def invReduceWithHashSet: ((Long, HashSet[String]), (Long,
HashSet[String])) => (Long, HashSet[String])= {
    case ((timeStamp1: Long, set1: HashSet[String]), (timeStamp2: Long,
set2: HashSet[String])) => (Math.max(timeStamp1, timeStamp2),
set1.diff(set2))
  }

  def filterFuncForInvReduce: ((String, (Long, HashSet[String]))) =>
(Boolean)= {
    case ((metricName:String, (timeStamp: Long, set: HashSet[String]))) =>
set.size>0
  }






--
View this message in context: 
http://apache-spark-user-list.1001560.n3.nabble.com/Exception-which-using-ReduceByKeyAndWindow-in-Spark-Streaming-tp28748.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.

---------------------------------------------------------------------
To unsubscribe e-mail: user-unsubscr...@spark.apache.org