Problem using Spark with Hbase

[Vibhor Banga]

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