The class path formations on driver and executors are different. Cheers
On Fri, Jan 22, 2016 at 3:25 PM, Ajinkya Kale <kaleajin...@gmail.com> wrote: > Is this issue only when the computations are in distributed mode ? > If I do (pseudo code) : > rdd.collect.call_to_hbase I dont get this error, > > but if I do : > rdd.call_to_hbase.collect it throws this error. > > On Wed, Jan 20, 2016 at 6:50 PM Ajinkya Kale <kaleajin...@gmail.com> > wrote: > >> Unfortunately I cannot at this moment (not a decision I can make) :( >> >> On Wed, Jan 20, 2016 at 6:46 PM Ted Yu <yuzhih...@gmail.com> wrote: >> >>> I am not aware of a workaround. >>> >>> Can you upgrade to 0.98.4+ release ? >>> >>> Cheers >>> >>> On Wed, Jan 20, 2016 at 6:26 PM, Ajinkya Kale <kaleajin...@gmail.com> >>> wrote: >>> >>>> Hi Ted, >>>> >>>> Thanks for responding. >>>> Is there a work around for 0.98.0 ? Adding the hbase-protocol jar to >>>> HADOOP_CLASSPATH didnt work for me. >>>> >>>> On Wed, Jan 20, 2016 at 6:14 PM Ted Yu <yuzhih...@gmail.com> wrote: >>>> >>>>> 0.98.0 didn't have fix from HBASE-11118 >>>>> >>>>> Please upgrade your hbase version and try again. >>>>> >>>>> If still there is problem, please pastebin the stack trace. >>>>> >>>>> Thanks >>>>> >>>>> On Wed, Jan 20, 2016 at 5:41 PM, Ajinkya Kale <kaleajin...@gmail.com> >>>>> wrote: >>>>> >>>>>> >>>>>> I have posted this on hbase user list but i thought makes more sense >>>>>> on spark user list. >>>>>> I am able to read the table in yarn-client mode from spark-shell but >>>>>> I have exhausted all online forums for options to get it working in the >>>>>> yarn-cluster mode through spark-submit. >>>>>> >>>>>> I am using this code-example >>>>>> http://www.vidyasource.com/blog/Programming/Scala/Java/Data/Hadoop/Analytics/2014/01/25/lighting-a-spark-with-hbase >>>>>> to >>>>>> read a hbase table using Spark with the only change of adding the >>>>>> hbase.zookeeper.quorum through code as it is not picking it from the >>>>>> hbase-site.xml. >>>>>> >>>>>> Spark 1.5.3 >>>>>> >>>>>> HBase 0.98.0 >>>>>> >>>>>> >>>>>> Facing this error - >>>>>> >>>>>> 16/01/20 12:56:59 WARN >>>>>> client.ConnectionManager$HConnectionImplementation: Encountered problems >>>>>> when prefetch hbase:meta table: >>>>>> org.apache.hadoop.hbase.client.RetriesExhaustedException: Failed after >>>>>> attempts=3, exceptions:Wed Jan 20 12:56:58 GMT-07:00 2016, >>>>>> org.apache.hadoop.hbase.client.RpcRetryingCaller@111585e, >>>>>> java.lang.IllegalAccessError: class >>>>>> com.google.protobuf.HBaseZeroCopyByteString cannot access its superclass >>>>>> com.google.protobuf.LiteralByteStringWed Jan 20 12:56:58 GMT-07:00 2016, >>>>>> org.apache.hadoop.hbase.client.RpcRetryingCaller@111585e, >>>>>> java.lang.IllegalAccessError: >>>>>> com/google/protobuf/HBaseZeroCopyByteStringWed Jan 20 12:56:59 GMT-07:00 >>>>>> 2016, org.apache.hadoop.hbase.client.RpcRetryingCaller@111585e, >>>>>> java.lang.IllegalAccessError: com/google/protobuf/HBaseZeroCopyByteString >>>>>> >>>>>> at >>>>>> org.apache.hadoop.hbase.client.RpcRetryingCaller.callWithRetries(RpcRetryingCaller.java:136) >>>>>> at >>>>>> org.apache.hadoop.hbase.client.HTable.getRowOrBefore(HTable.java:751) >>>>>> at >>>>>> org.apache.hadoop.hbase.client.MetaScanner.metaScan(MetaScanner.java:147) >>>>>> at >>>>>> org.apache.hadoop.hbase.client.ConnectionManager$HConnectionImplementation.prefetchRegionCache(ConnectionManager.java:1215) >>>>>> at >>>>>> org.apache.hadoop.hbase.client.ConnectionManager$HConnectionImplementation.locateRegionInMeta(ConnectionManager.java:1280) >>>>>> at >>>>>> org.apache.hadoop.hbase.client.ConnectionManager$HConnectionImplementation.locateRegion(ConnectionManager.java:1128) >>>>>> at >>>>>> org.apache.hadoop.hbase.client.ConnectionManager$HConnectionImplementation.locateRegion(ConnectionManager.java:1111) >>>>>> at >>>>>> org.apache.hadoop.hbase.client.ConnectionManager$HConnectionImplementation.locateRegion(ConnectionManager.java:1070) >>>>>> at org.apache.hadoop.hbase.client.HTable.finishSetup(HTable.java:347) >>>>>> at org.apache.hadoop.hbase.client.HTable.<init>(HTable.java:201) >>>>>> at org.apache.hadoop.hbase.client.HTable.<init>(HTable.java:159) >>>>>> at >>>>>> org.apache.hadoop.hbase.mapreduce.TableInputFormat.setConf(TableInputFormat.java:101) >>>>>> at >>>>>> org.apache.spark.rdd.NewHadoopRDD.getPartitions(NewHadoopRDD.scala:111) >>>>>> at >>>>>> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:239) >>>>>> at >>>>>> org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:237) >>>>>> at scala.Option.getOrElse(Option.scala:120) >>>>>> at org.apache.spark.rdd.RDD.partitions(RDD.scala:237) >>>>>> at org.apache.spark.rdd.RDD$$anonfun$take$1.apply(RDD.scala:1281) >>>>>> at >>>>>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) >>>>>> at >>>>>> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108) >>>>>> at org.apache.spark.rdd.RDD.withScope(RDD.scala:310) >>>>>> at org.apache.spark.rdd.RDD.take(RDD.scala:1276) >>>>>> >>>>>> I tried adding the hbase protocol jar on spar-defaults.conf and in >>>>>> the driver-classpath as suggested here >>>>>> http://apache-spark-user-list.1001560.n3.nabble.com/java-lang-IllegalAccessError-class-com-google-protobuf-HBaseZeroCopyByteString-cannot-access-its-supg-td24303.html >>>>>> but >>>>>> no success. >>>>>> Any suggestions ? >>>>>> >>>>>> >>>>> >>>
