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 > > >
