Are you suggesting against the usage of HashSet?
On Tue, Jun 6, 2017 at 3:36 PM, Tathagata Das <tathagata.das1...@gmail.com>
wrote:
> This may be because of HashSet is a mutable data structure, and it seems
> you are actually mutating it in "set1 ++set2". I suggest creating a new
> HashMap in the function (and add both maps into it), rather than mutating
> one of them.
>
> On Tue, Jun 6, 2017 at 11:30 AM, SRK <swethakasire...@gmail.com> wrote:
>
>> 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-ReduceByKeyAndWi
>> ndow-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
>>
>>
>
