I don’t think there is an hwx profile, but there probably should be. - Steve
From: Patrick Wendell <pwend...@gmail.com> Date: Monday, August 4, 2014 at 10:08 To: Ron's Yahoo! <zlgonza...@yahoo.com> Cc: Ron's Yahoo! <zlgonza...@yahoo.com.invalid>, Steve Nunez <snu...@hortonworks.com>, <user@spark.apache.org>, "d...@spark.apache.org" <d...@spark.apache.org> Subject: Re: Issues with HDP 2.4.0.2.1.3.0-563 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. 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