Hi Justin, Can you try with sbt, may be that will help.
-> Install sbt for windows http://www.scala-sbt.org/0.13/tutorial/Installing-sbt-on-Windows.html -> Create a lib directory in your project directory -> Place these jars in it: - spark-streaming-twitter_2.10-1.3.1.jar - twitter4j-async-3.0.3.jar - twitter4j-core-3.0.3.jar - twitter4j-media-support-3.0.3.jar - twitter4j-stream-3.0.3.jar -> Create a build.sbt file and add these contents: name := "twitterStream" version := "1.0" scalaVersion := "2.10.4" libraryDependencies += "org.apache.spark" % "spark-streaming_2.10" % "1.3.1" -> Create a TwitterStream.scala and add these contents: import org.apache.spark.streaming.twitter._ import org.apache.spark.streaming._ import org.apache.spark.{SparkContext, SparkConf} object TwitterStream { def main(args: Array[String]) { System.setProperty("twitter4j.oauth.consumerKey","*****") System.setProperty("twitter4j.oauth.consumerSecret","*****") System.setProperty("twitter4j.oauth.accessToken","*****") System.setProperty("twitter4j.oauth.accessTokenSecret","*****") val sconf = new SparkConf() .setMaster("local[*]") .setAppName("TwitterStream") val sc = new SparkContext(sconf) val ssc = new StreamingContext(sc, Seconds(10)) val stream = TwitterUtils.createStream(ssc, None) ssc.start() ssc.awaitTermination() } } -> Now do a sbt run Thanks Best Regards On Tue, May 19, 2015 at 9:56 AM, Justin Pihony <justin.pih...@gmail.com> wrote: > I think I found the answer -> > http://apache-spark-user-list.1001560.n3.nabble.com/Error-while-running-example-scala-application-using-spark-submit-td10056.html > > Do I have no way of running this in Windows locally? > > > On Mon, May 18, 2015 at 10:44 PM, Justin Pihony <justin.pih...@gmail.com> > wrote: > >> I'm not 100% sure that is causing a problem, though. The stream still >> starts, but is giving blank output. I checked the environment variables in >> the ui and it is running local[*], so there should be no bottleneck there. >> >> On Mon, May 18, 2015 at 10:08 PM, Justin Pihony <justin.pih...@gmail.com> >> wrote: >> >>> I am trying to print a basic twitter stream and receiving the following >>> error: >>> >>> >>> 15/05/18 22:03:14 INFO Executor: Fetching >>> http://192.168.56.1:49752/jars/twitter4j-media-support-3.0.3.jar with >>> timestamp 1432000973058 >>> 15/05/18 22:03:14 INFO Utils: Fetching >>> http://192.168.56.1:49752/jars/twitter4j-media-support-3.0.3.jar to >>> C:\Users\Justin\AppData\Local\Temp\spark-4a37d3 >>> >>> e9-34a2-40d4-b09b-6399931f527d\userFiles-65ee748e-4721-4e16-9fe6-65933651fec1\fetchFileTemp8970201232303518432.tmp >>> 15/05/18 22:03:14 ERROR Executor: Exception in task 0.0 in stage 0.0 >>> (TID 0) >>> java.lang.NullPointerException >>> at java.lang.ProcessBuilder.start(ProcessBuilder.java:1012) >>> at org.apache.hadoop.util.Shell.runCommand(Shell.java:482) >>> at org.apache.hadoop.util.Shell.run(Shell.java:455) >>> at >>> org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.ja >>> va:715) >>> at org.apache.hadoop.fs.FileUtil.chmod(FileUtil.java:873) >>> at org.apache.hadoop.fs.FileUtil.chmod(FileUtil.java:853) >>> at org.apache.spark.util.Utils$.fetchFile(Utils.scala:443) >>> at >>> >>> org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:374) >>> at >>> >>> org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:366) >>> at >>> >>> scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772) >>> at >>> >>> scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98) >>> at >>> >>> scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98) >>> at >>> >>> scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226) >>> at >>> scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39) >>> at scala.collection.mutable.HashMap.foreach(HashMap.scala:98) >>> at >>> >>> scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771) >>> at >>> org.apache.spark.executor.Executor.org >>> $apache$spark$executor$Executor$$updateDependencies(Executor.scala:366) >>> at >>> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:184) >>> at >>> >>> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) >>> at >>> >>> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) >>> at java.lang.Thread.run(Thread.java:744) >>> >>> >>> Code is: >>> >>> spark-shell --jars >>> >>> \Spark\lib\spark-streaming-twitter_2.10-1.3.1.jar,\Spark\lib\twitter4j-async-3.0.3.jar,\Spark\lib\twitter4j-core-3.0.3.jar,\Spark\lib\twitter4j-media-support-3.0.3.jar,\Spark\lib\twitter4j-stream-3.0.3.jar >>> >>> import org.apache.spark.streaming.twitter._ >>> import org.apache.spark.streaming._ >>> >>> System.setProperty("twitter4j.oauth.consumerKey","*****") >>> System.setProperty("twitter4j.oauth.consumerSecret","*****") >>> System.setProperty("twitter4j.oauth.accessToken","*****") >>> System.setProperty("twitter4j.oauth.accessTokenSecret","*****") >>> >>> val ssc = new StreamingContext(sc, Seconds(10)) >>> val stream = TwitterUtils.createStream(ssc, None) >>> stream.print >>> ssc.start >>> >>> >>> This seems to be happening at FileUtil.chmod(targetFile.getAbsolutePath, >>> "a+x") but Im not sure why... >>> >>> >>> >>> -- >>> View this message in context: >>> http://apache-spark-user-list.1001560.n3.nabble.com/TwitterUtils-on-Windows-tp22939.html >>> Sent from the Apache Spark User List mailing list archive at Nabble.com. >>> >>> --------------------------------------------------------------------- >>> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >>> For additional commands, e-mail: user-h...@spark.apache.org >>> >>> >> >
