Hi,
I am trying to implement simple sentiment analysis of Twitter streams in
Spark/Scala. I am getting an exception and it appears when I combine
SparkContext with StreamingContext in the same program. When I read the
positive and negative words using only SparkContext.textFile (without
creating a StreamingContext) and analyze static text files, the program
works. Likewise, when I just create the twitter stream using
StreamingContext (and dont create a SparkContext to create the vocabulary),
the program works. The exception seems to be appearing when I combine both
SparkContext and StreamingContext in the same program and I am not sure if
we are not allowed to have both simultaneously. All the examples in the
streaming module contain only the StreamingContext. The error transcript and
my code appear below. I would appreciate your guidance in fixing this error
and the right way to read static files and streams in the same program or
any pointers to relevant examples.
Thanks.
----------------------Error transcript -----------------------------
Lost task 0.0 in stage 2.0 (TID 70, mesos4-dev.sccps.net):
java.io.IOException: unexpected exception type
java.io.ObjectStreamClass.throwMiscException(ObjectStreamClass.java:1538)
java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1025)
java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:62)
org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:87)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:159)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
java.lang.Thread.run(Thread.java:745)
------------------------------ My code below ------------------------------
object TweetSentiment {
def main(args: Array[String]) {
val filters = args
val sparkConf = new SparkConf().setAppName("TweetSentiment")
val sc = new SparkContext(sparkConf)
// get the list of positive words
val pos_list = sc.textFile("positive-words.txt")
.filter(line => !line.isEmpty())
.collect()
.toSet
// get the list of negative words
val neg_list = sc.textFile("negative-words.txt")
.filter(line => !line.isEmpty())
.collect()
.toSet
// create twitter stream
val ssc = new StreamingContext(sparkConf, Seconds(60))
val stream = TwitterUtils.createStream(ssc, None, filters)
val tweets = stream.map(r => r.getText)
tweets.print() // print tweet text
ssc.start()
ssc.awaitTermination()
sc.stop() // I tried commenting this, but the exception still appeared.
}
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