Looks like you encountered the same problem described in this thread: http://search-hadoop.com/m/q3RTts2s4o5KaWK1
FYI On Mon, Sep 21, 2015 at 3:55 PM, Siva <[email protected]> wrote: > Hi Ted, > > Generated of jar file from the same code and submitted to spark-submit in > yarn-cluster mode. It went through fine, and I see kafka data in hbase. > > Not sure what is the exact issue with spark-shell. Here is the > spark-submit. > > spark-submit --class TestHbaseSpark --deploy-mode cluster --master > yarn-cluster --jars > > /home/sbhavanari/kafka_2.10-0.8.0.jar,/home/sbhavanari/spark-streaming-kafka_2.10-1.2.0.jar,/usr/hdp/2.2.4.2-2/kafka/libs/metrics-core-2.2.0.jar,/home/sbhavanari/zkclient-0.1.0.jar,/usr/hdp/2.2.4.2-2/hbase/lib/hbase-common-0.98.4.2.2.4.2-2-hadoop2.jar,/usr/hdp/2.2.4.2-2/hbase/lib/hbase-server-0.98.4.2.2.4.2-2-hadoop2.jar,/usr/hdp/2.2.4.2-2/hbase/lib/hbase-client-0.98.4.2.2.4.2-2-hadoop2.jar,/usr/hdp/2.2.4.2-2/hbase/lib/hbase-protocol-0.98.4.2.2.4.2-2-hadoop2.jar,/usr/hdp/2.2.4.2-2/hbase/lib/htrace-core-2.04.jar,/usr/hdp/2.2.4.2-2/hbase/lib/guava-12.0.1.jar,/usr/hdp/2.2.4.2-2/hbase/lib/hbase-hadoop-compat-0.98.4.2.2.4.2-2-hadoop2.jar,/usr/hdp/2.2.4.2-2/hadoop/hadoop-common-2.6.0.2.2.4.2-2.jar > testhbasespark_2.10-0.0.1.jar > > > Thanks, > Siva. > > On Mon, Sep 21, 2015 at 11:58 AM, Siva <[email protected]> wrote: > > > I tried running removing that jar as well, still the same issue. That jar > > contains the connector to Hbase from spark developed by cloudera. > > > > Thanks > > > > On Mon, Sep 21, 2015 at 11:56 AM, Ted Yu <[email protected]> wrote: > > > >> bq. spark-hbase-0.0.3-clabs-20150225.184251-1.jar > >> > >> The above jar is yours, right ? > >> > >> Can you check its contents ? > >> > >> Thanks > >> > >> On Mon, Sep 21, 2015 at 11:40 AM, Siva <[email protected]> wrote: > >> > >> > Hi Ted, > >> > > >> > Thanks for your response. I verified all the jars in class path. all > of > >> > them on 2.2.4.2-2. > >> > > >> > here are the spark-shell jars i m using. I verified my bash_profile > and > >> it > >> > looks good. are there any other places to look at it? > >> > > >> > spark-shell --jars > >> > > >> > > >> > /usr/hdp/2.2.4.2-2/hbase/lib/hbase-protocol-0.98.4.2.2.4.2-2-hadoop2.jar,/usr/hdp/2.2.4.2-2/hbase/lib/hbase-client-0.98.4.2.2.4.2-2-hadoop2.jar,/usr/hdp/2.2.4.2-2/hbase/lib/hbase-common-0.98.4.2.2.4.2-2-hadoop2.jar,/usr/hdp/2.2.4.2-2/hbase/lib/htrace-core-3.0.4.jar,/usr/hdp/2.2.4.2-2/hbase/lib/guava-12.0.1.jar,/usr/hdp/2.2.4.2-2/hbase/lib/hbase-server-0.98.4.2.2.4.2-2-hadoop2.jar,/home/common/spark-1.2.1-bin-hadoop2.4/lib/spark-assembly-1.2.1-hadoop2.4.0.jar,/home/sbhavanari/spark-streaming-kafka_2.10-1.2.0.jar,/home/sbhavanari/kafka_2.10-0.8.0.jar,/home/sbhavanari/spark-hbase-0.0.3-clabs-20150225.184251-1.jar,/home/sbhavanari/zkclient-0.1.0.jar,/usr/hdp/2.2.4.2-2/kafka/libs/metrics-core-2.2.0.jar > >> > > >> > Thanks > >> > > >> > > >> > On Mon, Sep 21, 2015 at 4:30 AM, Ted Yu <[email protected]> wrote: > >> > > >> > > Dropping dev@ > >> > > > >> > > Looks like another version of hbase artifact was in the classpath. > >> > > Can you double check ? > >> > > > >> > > Thanks > >> > > > >> > > > On Sep 21, 2015, at 12:45 AM, Siva <[email protected]> wrote: > >> > > > > >> > > > Hi, > >> > > > > >> > > > I m seeing some strange error while inserting data from spark > >> streaming > >> > > to > >> > > > hbase. > >> > > > > >> > > > I can able to write the data from spark (without streaming) to > hbase > >> > > > successfully, but when i use the same code to write dstream I m > >> seeing > >> > > the > >> > > > below error. > >> > > > > >> > > > I tried setting the below parameters, still didnt help. Did any > face > >> > the > >> > > > similar issue? > >> > > > > >> > > > conf.set("hbase.defaults.for.version.skip", "true") > >> > > > conf.set("hbase.defaults.for.version", "0.98.4.2.2.4.2-2-hadoop2") > >> > > > > >> > > > 15/09/20 22:39:10 ERROR Executor: Exception in task 0.0 in stage > >> 14.0 > >> > > (TID > >> > > > 16) > >> > > > java.lang.RuntimeException: hbase-default.xml file seems to be for > >> and > >> > > old > >> > > > version of HBase (null), this version is 0.98.4.2.2.4.2-2-hadoop2 > >> > > > at > >> > > > > >> > > > >> > > >> > org.apache.hadoop.hbase.HBaseConfiguration.checkDefaultsVersion(HBaseConfiguration.java:73) > >> > > > at > >> > > > > >> > > > >> > > >> > org.apache.hadoop.hbase.HBaseConfiguration.addHbaseResources(HBaseConfiguration.java:105) > >> > > > at > >> > > > > >> > > > >> > > >> > org.apache.hadoop.hbase.HBaseConfiguration.create(HBaseConfiguration.java:116) > >> > > > at > >> > > > > >> > > > >> > > >> > org.apache.hadoop.hbase.HBaseConfiguration.create(HBaseConfiguration.java:125) > >> > > > at > >> > > > > >> > > > >> > > >> > $line51.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$HBaseConn$.hbaseConnection(<console>:49) > >> > > > at > >> > > > > >> > > > >> > > >> > $line52.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$TestHbaseSpark$$anonfun$run$1$$anonfun$apply$1.apply(<console>:73) > >> > > > at > >> > > > > >> > > > >> > > >> > $line52.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$TestHbaseSpark$$anonfun$run$1$$anonfun$apply$1.apply(<console>:73) > >> > > > at > >> scala.collection.Iterator$class.foreach(Iterator.scala:727) > >> > > > at > >> > > > > >> > > > >> > > >> > org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28) > >> > > > at > >> > > org.apache.spark.rdd.RDD$$anonfun$foreach$1.apply(RDD.scala:782) > >> > > > at > >> > > org.apache.spark.rdd.RDD$$anonfun$foreach$1.apply(RDD.scala:782) > >> > > > at > >> > > > > >> > > > >> > > >> > org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1353) > >> > > > at > >> > > > > >> > > > >> > > >> > org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1353) > >> > > > at > >> > > > org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61) > >> > > > at org.apache.spark.scheduler.Task.run(Task.scala:56) > >> > > > at > >> > > > > >> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:200) > >> > > > at > >> > > > > >> > > > >> > > >> > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > >> > > > at > >> > > > > >> > > > >> > > >> > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > >> > > > at java.lang.Thread.run(Thread.java:745) > >> > > > 15/09/20 22:39:10 WARN TaskSetManager: Lost task 0.0 in stage 14.0 > >> (TID > >> > > 16, > >> > > > localhost): java.lang.RuntimeException: hbase-default.xml file > >> seems to > >> > > be > >> > > > for and old version of HBase (null), this version is > >> > > > 0.98.4.2.2.4.2-2-hadoop2 > >> > > > > >> > > > > >> > > > Thanks, > >> > > > Siva. > >> > > > >> > > >> > > > > >
