Ah I see, yeah you might need to set hadoop.version and yarn.version. I thought he profile set this automatically.
On Mon, Aug 4, 2014 at 10:02 AM, Ron's Yahoo! <zlgonza...@yahoo.com> wrote: > I meant yarn and hadoop defaulted to 1.0.4 so the yarn build fails since > 1.0.4 doesn't exist for yarn... > > Thanks, > Ron > > On Aug 4, 2014, at 10:01 AM, Ron's Yahoo! <zlgonza...@yahoo.com> wrote: > > That failed since it defaulted the versions for yarn and hadoop > I'll give it a try with just 2.4.0 for both yarn and hadoop... > > Thanks, > Ron > > On Aug 4, 2014, at 9:44 AM, Patrick Wendell <pwend...@gmail.com> wrote: > > Can you try building without any of the special `hadoop.version` flags and > just building only with -Phadoop-2.4? In the past users have reported > issues trying to build random spot versions... I think HW is supposed to be > compatible with the normal 2.4.0 build. > > > On Mon, Aug 4, 2014 at 8:35 AM, Ron's Yahoo! <zlgonza...@yahoo.com.invalid > > wrote: > >> Thanks, I ensured that $SPARK_HOME/pom.xml had the HDP repository under >> the repositories element. I also confirmed that if the build couldn't find >> the version, it would fail fast so it seems as if it's able to get the >> versions it needs to build the distribution. >> I ran the following (generated from make-distribution.sh), but it did not >> address the problem, while building with an older version >> (2.4.0.2.1.2.0-402) worked. Any other thing I can try? >> >> mvn clean package -Phadoop-2.4 -Phive -Pyarn >> -Dyarn.version=2.4.0.2.1.2.0-563 -Dhadoop.version=2.4.0.2.1.3.0-563 >> -DskipTests >> >> >> Thanks, >> Ron >> >> >> On Aug 4, 2014, at 7:13 AM, Steve Nunez <snu...@hortonworks.com> wrote: >> >> Provided you¹ve got the HWX repo in your pom.xml, you can build with this >> line: >> >> mvn -Pyarn -Phive -Phadoop-2.4 -Dhadoop.version=2.4.0.2.1.1.0-385 >> -DskipTests clean package >> >> I haven¹t tried building a distro, but it should be similar. >> >> >> - SteveN >> >> On 8/4/14, 1:25, "Sean Owen" <so...@cloudera.com> wrote: >> >> For any Hadoop 2.4 distro, yes, set hadoop.version but also set >> -Phadoop-2.4. >> http://spark.apache.org/docs/latest/building-with-maven.html >> >> On Mon, Aug 4, 2014 at 9:15 AM, Patrick Wendell <pwend...@gmail.com> >> wrote: >> >> For hortonworks, I believe it should work to just link against the >> corresponding upstream version. I.e. just set the Hadoop version to >> "2.4.0" >> >> Does that work? >> >> - Patrick >> >> >> On Mon, Aug 4, 2014 at 12:13 AM, Ron's Yahoo! >> <zlgonza...@yahoo.com.invalid> >> wrote: >> >> >> Hi, >> Not sure whose issue this is, but if I run make-distribution using >> HDP >> 2.4.0.2.1.3.0-563 as the hadoop version (replacing it in >> make-distribution.sh), I get a strange error with the exception below. >> If I >> use a slightly older version of HDP (2.4.0.2.1.2.0-402) with >> make-distribution, using the generated assembly all works fine for me. >> Either 1.0.0 or 1.0.1 will work fine. >> >> Should I file a JIRA or is this a known issue? >> >> Thanks, >> Ron >> >> Exception in thread "main" org.apache.spark.SparkException: Job aborted >> due to stage failure: Task 0.0:0 failed 1 times, most recent failure: >> Exception failure in TID 0 on host localhost: >> java.lang.IncompatibleClassChangeError: Found interface >> org.apache.hadoop.mapreduce.TaskAttemptContext, but class was expected >> >> >> org.apache.avro.mapreduce.AvroKeyInputFormat.createRecordReader(AvroKeyI >> nputFormat.java:47) >> >> >> org.apache.spark.rdd.NewHadoopRDD$$anon$1.<init>(NewHadoopRDD.scala:111) >> >> org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:99) >> >> org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:61) >> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) >> org.apache.spark.rdd.RDD.iterator(RDD.scala:229) >> org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31) >> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) >> >> org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:77) >> org.apache.spark.rdd.RDD.iterator(RDD.scala:227) >> org.apache.spark.rdd.MappedRDD.compute(MappedRDD.scala:31) >> org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:262) >> org.apache.spark.rdd.RDD.iterator(RDD.scala:229) >> >> org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111) >> org.apache.spark.scheduler.Task.run(Task.scala:51) >> >> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187) >> >> >> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.jav >> a:1145) >> >> >> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.ja >> va:615) >> java.lang.Thread.run(Thread.java:745) >> >> >> >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org >> For additional commands, e-mail: dev-h...@spark.apache.org >> >> >> >> >> -- >> CONFIDENTIALITY NOTICE >> NOTICE: This message is intended for the use of the individual or entity >> to >> which it is addressed and may contain information that is confidential, >> privileged and exempt from disclosure under applicable law. If the reader >> >> of this message is not the intended recipient, you are hereby notified >> that >> any printing, copying, dissemination, distribution, disclosure or >> forwarding of this communication is strictly prohibited. If you have >> received this communication in error, please contact the sender >> immediately >> and delete it from your system. Thank You. >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >> For additional commands, e-mail: user-h...@spark.apache.org >> >> >> > > >
