[jira] [Created] (SPARK-4926) Spark manipulate Hbase

["Lily (JIRA)" <ji...@apache.org>]

Lily created SPARK-4926:
---------------------------

             Summary: Spark manipulate Hbase
                 Key: SPARK-4926
                 URL: https://issues.apache.org/jira/browse/SPARK-4926
             Project: Spark
          Issue Type: Question
            Reporter: Lily


When I run the program below,I got an error “Job aborted due to stage failure: Task 0.0 in stage 2.0 (TID 14) had a not serializable result:org.apache.hadoop.hbase.io.ImmutableBytesWritable”

How can I manipulate the results?
How to realize get,put,scan of hbase by scala?
There are not any examples in the source code files.




import org.apache.hadoop.hbase.client.HBaseAdmin
import org.apache.hadoop.hbase.{ HBaseConfiguration, HTableDescriptor }
import org.apache.hadoop.hbase.mapreduce.TableInputFormat
import org.apache.spark._

object HbaseTest extends Serializable{
  def main(args: Array[String]) {
    val sparkConf = new SparkConf().setAppName("HBaseTest")
    val sc = new SparkContext(sparkConf)
    val conf = HBaseConfiguration.create()
    conf.set("hbase.zookeeper.property.clientPort", "2181");
    conf.set("hbase.zookeeper.quorum", "192.168.179.146");
    conf.set(TableInputFormat.INPUT_TABLE, "sensteer_rawdata")

    val admin = new HBaseAdmin(conf)
    if (!admin.isTableAvailable("sensteer_rawdata")) {
      val tableDesc = new HTableDescriptor("sensteer_rawdata")
      admin.createTable(tableDesc)
    }

    val hBaseRDD = sc.newAPIHadoopRDD(conf, classOf[TableInputFormat],
      classOf[org.apache.hadoop.hbase.io.ImmutableBytesWritable],
      classOf[org.apache.hadoop.hbase.client.Result])
    val count = hBaseRDD.count()
    println("--------------" + hBaseRDD.count() + "--------------")

    val res = hBaseRDD.take(count.toInt)

    sc.stop()
  }

}




--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org