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

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

     [ https://issues.apache.org/jira/browse/SPARK-4926?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Patrick Wendell resolved SPARK-4926.
------------------------------------
    Resolution: Invalid

Resolving in agreement with [~sowen]

> 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()
>   }
> }



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