Thanks. I'm trying to run it in a standalone cluster with an existing / large 100 node ES install.
I'm using the standard 1.6.1 -2.6 distribution with elasticsearch-hadoop-2.3.2... I *think* I'm only supposed to use the elasticsearch-spark_2.11-2.3.2.jar with it... but now I get the following exception: java.lang.NoSuchMethodError: scala.Predef$.ArrowAssoc(Ljava/lang/Object;)Ljava/lang/Object; at org.elasticsearch.spark.rdd.EsSpark$.saveToEs(EsSpark.scala:52) at org.elasticsearch.spark.package$SparkRDDFunctions.saveToEs(package.scala:37) at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:40) at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:45) at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:47) at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:49) at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:51) at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:53) at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:55) at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:57) at $iwC$$iwC$$iwC$$iwC.<init>(<console>:59) at $iwC$$iwC$$iwC.<init>(<console>:61) at $iwC$$iwC.<init>(<console>:63) at $iwC.<init>(<console>:65) at <init>(<console>:67) at .<init>(<console>:71) at .<clinit>(<console>) at .<init>(<console>:7) at .<clinit>(<console>) at $print(<console>) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:497) at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065) at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346) at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840) at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871) at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819) at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857) at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902) at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:875) at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902) at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814) at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657) at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665) at org.apache.spark.repl.SparkILoop.org $apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670) at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997) at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945) at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945) at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135) at org.apache.spark.repl.SparkILoop.org $apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945) at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059) at org.apache.spark.repl.Main$.main(Main.scala:31) at org.apache.spark.repl.Main.main(Main.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:497) at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731) at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181) at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) On Thu, Jun 2, 2016 at 3:45 PM, Nick Pentreath <nick.pentre...@gmail.com> wrote: > Hey there > > When I used es-hadoop, I just pulled in the dependency into my pom.xml, > with spark as a "provided" dependency, and built a fat jar with assembly. > > Then with spark-submit use the --jars option to include your assembly jar > (IIRC I sometimes also needed to use --driver-classpath too, but perhaps > not with recent Spark versions). > > > > On Thu, 2 Jun 2016 at 15:34 Kevin Burton <bur...@spinn3r.com> wrote: > >> I'm trying to get spark 1.6.1 to work with 2.3.2... needless to say it's >> not super easy. >> >> I wish there was an easier way to get this stuff to work.. Last time I >> tried to use spark more I was having similar problems with classpath setup >> and Cassandra. >> >> Seems a huge opportunity to make this easier for new developers. This >> stuff isn't rocket science but it can (needlessly) waste a ton of time. >> >> ... anyway... I'm have since figured out I have to specific *specific* >> jars from the elasticsearch-hadoop distribution and use those. >> >> Right now I'm using : >> >> >> SPARK_CLASSPATH=/usr/share/elasticsearch-hadoop/lib/elasticsearch-hadoop-2.3.2.jar:/usr/share/elasticsearch-hadoop/lib/elasticsearch-spark_2.11-2.3.2.jar:/usr/share/elasticsearch-hadoop/lib/elasticsearch-hadoop-mr-2.3.2.jar:/usr/share/apache-spark/lib/* >> >> ... but I"m getting: >> >> java.lang.NoClassDefFoundError: Could not initialize class >> org.elasticsearch.hadoop.util.Version >> at >> org.elasticsearch.hadoop.rest.RestService.createWriter(RestService.java:376) >> at org.elasticsearch.spark.rdd.EsRDDWriter.write(EsRDDWriter.scala:40) >> at >> org.elasticsearch.spark.rdd.EsSpark$$anonfun$saveToEs$1.apply(EsSpark.scala:67) >> at >> org.elasticsearch.spark.rdd.EsSpark$$anonfun$saveToEs$1.apply(EsSpark.scala:67) >> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) >> at org.apache.spark.scheduler.Task.run(Task.scala:89) >> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) >> at >> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) >> at >> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) >> >> ... but I think its caused by this: >> >> 16/06/03 00:26:48 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, >> localhost): java.lang.Error: Multiple ES-Hadoop versions detected in the >> classpath; please use only one >> >> jar:file:/usr/share/elasticsearch-hadoop/lib/elasticsearch-hadoop-2.3.2.jar >> >> jar:file:/usr/share/elasticsearch-hadoop/lib/elasticsearch-spark_2.11-2.3.2.jar >> >> jar:file:/usr/share/elasticsearch-hadoop/lib/elasticsearch-hadoop-mr-2.3.2.jar >> >> at org.elasticsearch.hadoop.util.Version.<clinit>(Version.java:73) >> at >> org.elasticsearch.hadoop.rest.RestService.createWriter(RestService.java:376) >> at org.elasticsearch.spark.rdd.EsRDDWriter.write(EsRDDWriter.scala:40) >> at >> org.elasticsearch.spark.rdd.EsSpark$$anonfun$saveToEs$1.apply(EsSpark.scala:67) >> at >> org.elasticsearch.spark.rdd.EsSpark$$anonfun$saveToEs$1.apply(EsSpark.scala:67) >> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) >> at org.apache.spark.scheduler.Task.run(Task.scala:89) >> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) >> 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:745) >> >> .. still tracking this down but was wondering if there is someting >> obvious I'm dong wrong. I'm going to take out >> elasticsearch-hadoop-2.3.2.jar and try again. >> >> Lots of trial and error here :-/ >> >> Kevin >> >> -- >> >> We’re hiring if you know of any awesome Java Devops or Linux Operations >> Engineers! >> >> Founder/CEO Spinn3r.com >> Location: *San Francisco, CA* >> blog: http://burtonator.wordpress.com >> … or check out my Google+ profile >> <https://plus.google.com/102718274791889610666/posts> >> >> -- We’re hiring if you know of any awesome Java Devops or Linux Operations Engineers! Founder/CEO Spinn3r.com Location: *San Francisco, CA* blog: http://burtonator.wordpress.com … or check out my Google+ profile <https://plus.google.com/102718274791889610666/posts>