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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
>>
>>
>
>
>
SparkHBaseMain.java
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