hi,XueFu
i checkout a spark branch from sparkgithub(tags:v1.2.0-snapshot0)and i compare this spark's pom.xml with spark-parent-1.2.0-SNAPSHOT.pom(get from http://ec2-50-18-79-139.us-west-1.compute.amazonaws.com/data/spark_2.10-1.2-SNAPSHOT/org/apache/spark/spark-parent/1.2.0-SNAPSHOT/),and there is only difference is follow:
in spark-parent-1.2.0-SNAPSHOT.pom
  <artifactId>spark-parent</artifactId>
  <version>1.2.0-SNAPSHOT</version>
and in v1.2.0-snapshot0
<artifactId>spark-parent</artifactId>
  <version>1.2.0</version>
i think there is no essence diff,and i built v1.2.0-snapshot0 and deploy it as my spark clusters when i run query about join two table ,it still give some error what i show u earlier

Job aborted due to stage failure: Task 0 in stage 1.0 failed 4 times, most recent failure: Lost task 0.3 in stage 1.0 (TID 7, datasight18): java.lang.NullPointerException+details

Job aborted due to stage failure: Task 0 in stage 1.0 failed 4 times, most 
recent failure: Lost task 0.3 in stage 1.0 (TID 7, datasight18): 
java.lang.NullPointerException
        at 
org.apache.hadoop.hive.ql.io.HiveInputFormat.init(HiveInputFormat.java:255)
        at 
org.apache.hadoop.hive.ql.io.HiveInputFormat.pushProjectionsAndFilters(HiveInputFormat.java:437)
        at 
org.apache.hadoop.hive.ql.io.HiveInputFormat.pushProjectionsAndFilters(HiveInputFormat.java:430)
        at 
org.apache.hadoop.hive.ql.io.CombineHiveInputFormat.getRecordReader(CombineHiveInputFormat.java:587)
        at org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:233)
        at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:210)
        at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:99)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
        at 
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
        at 
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
        at 
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
        at org.apache.spark.scheduler.Task.run(Task.scala:56)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
        at java.lang.Thread.run(Thread.java:722)

Driver stacktrace:



i think my spark clusters did't had any problem,but why always give me such error






















On 2014/12/2 13:39, Xuefu Zhang wrote:
You need to build your spark assembly from spark 1.2 branch. this should give your both a spark build as well as spark-assembly jar, which you need to copy to Hive lib directory. Snapshot is fine, and spark 1.2 hasn't been released yet.

--Xuefu

On Mon, Dec 1, 2014 at 7:41 PM, yuemeng1 <yueme...@huawei.com <mailto:yueme...@huawei.com>> wrote:



    hi.XueFu,
    thanks a lot for your inforamtion,but as far as i know ,the latest
    spark version on github is spark-snapshot-1.3,but there is no
    spark-1.2,only have a branch-1.2 with spark-snapshot-1.2,can u
    tell me which spark version i should built,and for now,that's
    spark-assembly-1.2.0-SNAPSHOT-hadoop2.4.0.jar produce error like that


    On 2014/12/2 11:03, Xuefu Zhang wrote:
    It seems that wrong class, HiveInputFormat, is loaded. The
    stacktrace is way off the current Hive code. You need to build
    Spark 1.2 and copy spark-assembly jar to Hive's lib directory and
    that it.

    --Xuefu

    On Mon, Dec 1, 2014 at 6:22 PM, yuemeng1 <yueme...@huawei.com
    <mailto:yueme...@huawei.com>> wrote:

        hi,i built a hive on spark package and my spark assembly jar
        is spark-assembly-1.2.0-SNAPSHOT-hadoop2.4.0.jar,when i run a
        query in hive shell,before execute this query,
        i set all the  require which hive need with spark.and i
        execute a join query :
        select distinct st.sno,sname from student st join score sc
        on(st.sno=sc.sno) where sc.cno IN(11,12,13) and st.sage > 28;
        but it failed,
        get follow error in spark webUI:
        Job aborted due to stage failure: Task 0 in stage 1.0 failed
        4 times, most recent failure: Lost task 0.3 in stage 1.0 (TID
        7, datasight18): java.lang.NullPointerException+details

        Job aborted due to stage failure: Task 0 in stage 1.0 failed 4 times, 
most recent failure: Lost task 0.3 in stage 1.0 (TID 7, datasight18): 
java.lang.NullPointerException
                at 
org.apache.hadoop.hive.ql.io.HiveInputFormat.init(HiveInputFormat.java:255)
                at 
org.apache.hadoop.hive.ql.io.HiveInputFormat.pushProjectionsAndFilters(HiveInputFormat.java:437)
                at 
org.apache.hadoop.hive.ql.io.HiveInputFormat.pushProjectionsAndFilters(HiveInputFormat.java:430)
                at 
org.apache.hadoop.hive.ql.io.CombineHiveInputFormat.getRecordReader(CombineHiveInputFormat.java:587)
                at 
org.apache.spark.rdd.HadoopRDD$$anon$1.<init>(HadoopRDD.scala:233)
                at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:210)
                at org.apache.spark.rdd.HadoopRDD.compute(HadoopRDD.scala:99)
                at 
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
                at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
                at 
org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35)
                at 
org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
                at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
                at 
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:68)
                at 
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
                at org.apache.spark.scheduler.Task.run(Task.scala:56)
                at 
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
                at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
                at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
                at java.lang.Thread.run(Thread.java:722)

        Driver stacktrace:

        can u give me a help to deal this probelm,and i think my
        built was succussed!





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