Hello Everyone, I am trying to implement this example (Spark Streaming with Twitter).
https://github.com/apache/spark/blob/master/examples/src/main/scala/org/apache/spark/examples/streaming/TwitterPopularTags.scala I am able to do: hashTags.print() to get a live stream of filtered hashtags, but I get these warnings, not sure if they're related to the error: WARN BlockManager: Block input-0-1428450594600 replicated to only 0 peer(s) instead of 1 peers then when I try to print out topCounts60 or topCounts10, I get this error when building: /home/ec2-user/sparkApps/TwitterApp/src/main/scala/TwitterPopularTags.scala:35: error: value reduceByKeyAndWindow is not a member of org.apache.spark.streaming.dstream.DStream[(String, Int)] [INFO] val topCounts60 = hashTags.map((_, 1)).reduceByKeyAndWindow(_ + _, Seconds(60)).map{case (topic, count) => (count, topic)}.transform(_.sortByKey(false)) Thank you for the help! Best, Su --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org