Thanks Mayur for the reply. Actually issue was the I was running Spark application on hadoop-2.2.0 and hbase version there was 0.95.2.
But spark by default gets build by an older hbase version. So I had to build spark again with hbase version as 0.95.2 in spark build file. And it worked. Thanks, -Vibhor On Wed, May 28, 2014 at 11:34 PM, Mayur Rustagi <mayur.rust...@gmail.com> wrote: > Try this.. > > Mayur Rustagi > Ph: +1 (760) 203 3257 > http://www.sigmoidanalytics.com > @mayur_rustagi <https://twitter.com/mayur_rustagi> > > > > On Wed, May 28, 2014 at 7:40 PM, Vibhor Banga <vibhorba...@gmail.com> > wrote: > >> Any one who has used spark this way or has faced similar issue, please >> help. >> >> Thanks, >> -Vibhor >> >> >> On Wed, May 28, 2014 at 6:03 PM, Vibhor Banga <vibhorba...@gmail.com> >> wrote: >> >>> Hi all, >>> >>> I am facing issues while using spark with HBase. I am getting >>> NullPointerException at org.apache.hadoop.hbase.TableName.valueOf >>> (TableName.java:288) >>> >>> Can someone please help to resolve this issue. What am I missing ? >>> >>> >>> I am using following snippet of code - >>> >>> Configuration config = HBaseConfiguration.create(); >>> >>> config.set("hbase.zookeeper.znode.parent", "hostname1"); >>> config.set("hbase.zookeeper.quorum","hostname1"); >>> config.set("hbase.zookeeper.property.clientPort","2181"); >>> config.set("hbase.master", "hostname1: >>> config.set("fs.defaultFS","hdfs://hostname1/"); >>> config.set("dfs.namenode.rpc-address","hostname1:8020"); >>> >>> config.set(TableInputFormat.INPUT_TABLE, "tableName"); >>> >>> JavaSparkContext ctx = new JavaSparkContext(args[0], "Simple", >>> System.getenv(sparkHome), >>> JavaSparkContext.jarOfClass(Simple.class)); >>> >>> JavaPairRDD<ImmutableBytesWritable, Result> hBaseRDD >>> = ctx.newAPIHadoopRDD( config, TableInputFormat.class, >>> ImmutableBytesWritable.class, Result.class); >>> >>> Map<ImmutableBytesWritable, Result> rddMap = >>> hBaseRDD.collectAsMap(); >>> >>> >>> But when I go to the spark cluster and check the logs, I see following >>> error - >>> >>> INFO NewHadoopRDD: Input split: w3-target1.nm.flipkart.com:, >>> 14/05/28 16:48:51 ERROR TableInputFormat: java.lang.NullPointerException >>> at org.apache.hadoop.hbase.TableName.valueOf(TableName.java:288) >>> at org.apache.hadoop.hbase.client.HTable.<init>(HTable.java:154) >>> at >>> org.apache.hadoop.hbase.mapreduce.TableInputFormat.setConf(TableInputFormat.java:99) >>> at >>> org.apache.spark.rdd.NewHadoopRDD$$anon$1.<init>(NewHadoopRDD.scala:92) >>> at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:84) >>> at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:48) >>> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:241) >>> at org.apache.spark.rdd.RDD.iterator(RDD.scala:232) >>> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:109) >>> at org.apache.spark.scheduler.Task.run(Task.scala:53) >>> at >>> org.apache.spark.executor.Executor$TaskRunner$$anonfun$run$1.apply$mcV$sp(Executor.scala:211) >>> at >>> org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:42) >>> at >>> org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:41) >>> at java.security.AccessController.doPrivileged(Native Method) >>> at javax.security.auth.Subject.doAs(Subject.java:415) >>> at >>> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1121) >>> at >>> org.apache.spark.deploy.SparkHadoopUtil.runAsUser(SparkHadoopUtil.scala:41) >>> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:176) >>> 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) >>> >>> Thanks, >>> >>> -Vibhor >>> >>> >> >> >> > -- Vibhor Banga Software Development Engineer Flipkart Internet Pvt. Ltd., Bangalore
