In #1, class HTable can not be serializable.
You also need to check you self defined function getUserActions and make sure
it is a member function of one class who implement serializable interface.
发自我的 iPad
> 在 2014年12月12日，下午4:35，yangliuyu <yangli...@163.com> 写道：
>
> The scenario is using HTable instance to scan multiple rowkey range in Spark
> tasks look likes below:
> Option 1:
> val users = input
> .map { case (deviceId, uid) =>
> uid}.distinct().sortBy(x=>x).mapPartitions(iterator=>{
> val conf = HBaseConfiguration.create()
> val table = new HTable(conf, "actions")
> val result = iterator.map{ userId=>
> (userId, getUserActions(table, userId, timeStart, timeStop))
> }
> table.close()
> result
> })
>
> But got the exception:
> org.apache.spark.SparkException: Task not serializable
> at
> org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:166)
> at
> org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:158)
> at org.apache.spark.SparkContext.clean(SparkContext.scala:1264)
> at org.apache.spark.rdd.RDD.mapPartitions(RDD.scala:597)
> at
> $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:60)...
> ...
> Caused by: java.io.NotSerializableException:
> org.apache.hadoop.conf.Configuration
> at
> java.io.ObjectOutputStream.writeObject0(ObjectOutputStream.java:1183)
> at
> java.io.ObjectOutputStream.defaultWriteFields(ObjectOutputStream.java:1547)
> at
> java.io.ObjectOutputStream.writeSerialData(ObjectOutputStream.java:1508)
>
> The reason not using sc.newAPIHadoopRDD is it only support one scan each
> time.
> val hbaseRDD = sc.newAPIHadoopRDD(conf, classOf[TableInputFormat],
> classOf[org.apache.hadoop.hbase.io.ImmutableBytesWritable],
> classOf[org.apache.hadoop.hbase.client.Result])
>
> And if using MultiTableInputFormat, driver is not possible put all rowkeys
> into HBaseConfiguration
> Option 2:
> sc.newAPIHadoopRDD(conf, classOf[MultiTableInputFormat],
> classOf[org.apache.hadoop.hbase.io.ImmutableBytesWritable],
> classOf[org.apache.hadoop.hbase.client.Result])
>
> It may divide all rowkey ranges into several parts then use option 2, but I
> prefer option 1. So is there any solution for option 1?
>
>
>
> --
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