I tried hbase-0.96.2/0.98.1/0.98.2 HDFS version is 2.3
-- Nan Zhu On Sunday, May 18, 2014 at 4:18 PM, Nan Zhu wrote: > Hi, all > > I tried to write data to HBase in a Spark-1.0 rc8 application, > > the application is terminated due to the java.lang.IllegalAccessError, Hbase > shell works fine, and the same application works with a standalone Hbase > deployment > > java.lang.IllegalAccessError: com/google/protobuf/HBaseZeroCopyByteString > at > org.apache.hadoop.hbase.protobuf.RequestConverter.buildRegionSpecifier(RequestConverter.java:930) > at > org.apache.hadoop.hbase.protobuf.RequestConverter.buildGetRowOrBeforeRequest(RequestConverter.java:133) > at > org.apache.hadoop.hbase.protobuf.ProtobufUtil.getRowOrBefore(ProtobufUtil.java:1466) > at > org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.locateRegionInMeta(HConnectionManager.java:1236) > at > org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.locateRegion(HConnectionManager.java:1110) > at > org.apache.hadoop.hbase.client.HConnectionManager$HConnectionImplementation.locateRegion(HConnectionManager.java:1067) > at > org.apache.hadoop.hbase.client.AsyncProcess.findDestLocation(AsyncProcess.java:356) > at org.apache.hadoop.hbase.client.AsyncProcess.submit(AsyncProcess.java:301) > at > org.apache.hadoop.hbase.client.HTable.backgroundFlushCommits(HTable.java:955) > at org.apache.hadoop.hbase.client.HTable.flushCommits(HTable.java:1239) > at org.apache.hadoop.hbase.client.HTable.close(HTable.java:1276) > at > org.apache.hadoop.hbase.mapreduce.TableOutputFormat$TableRecordWriter.close(TableOutputFormat.java:112) > at org.apache.spark.rdd.PairRDDFunctions.org > (http://org.apache.spark.rdd.PairRDDFunctions.org)$apache$spark$rdd$PairRDDFunctions$$writeShard$1(PairRDDFunctions.scala:720) > at > org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:730) > at > org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsNewAPIHadoopDataset$1.apply(PairRDDFunctions.scala:730) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:111) > at org.apache.spark.scheduler.Task.run(Task.scala:51) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:187) > 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:744) > > > Can anyone give some hint to the issue? > > Best, > > -- > Nan Zhu >
