val jobConf = new JobConf(hbaseConf)  
jobConf.setOutputFormat(classOf[TableOutputFormat])  
jobConf.set(TableOutputFormat.OUTPUT_TABLE, tablename)  

val indataRDD = sc.makeRDD(Array("1,jack,15","2,Lily,16","3,mike,16"))  

indataRDD.map(_.split(','))   
val rdd = indataRDD.map(_.split(',')).map{arr=>{  
val put = new Put(Bytes.toBytes(arr(0).toInt))  
put.add(Bytes.toBytes("cf"),Bytes.toBytes("name"),Bytes.toBytes(arr(1)))  
put.add(Bytes.toBytes("cf"),Bytes.toBytes("age"),Bytes.toBytes(arr(2).toInt))  
(new ImmutableBytesWritable, put)   
}}  
  rdd.saveAsHadoopDataset(jobConf)

当我运行hadoop或spark作业时，经常会遇到以下错误：

Exception in thread "main" java.lang.NoSuchMethodError: org.apache.hadoop.mapred.TaskID.<init>(Lorg/apache/hadoop/mapreduce/JobID;Lorg/apache/hadoop/mapreduce/TaskType;I)V
at org.apache.spark.SparkHadoopWriter.setIDs(SparkHadoopWriter.scala:158)
at org.apache.spark.SparkHadoopWriter.preSetup(SparkHadoopWriter.scala:60)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply$mcV$sp(PairRDDFunctions.scala:1188)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1161)
at org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1.apply(PairRDDFunctions.scala:1161)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:112)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:358)
at org.apache.spark.rdd.PairRDDFunctions.saveAsHadoopDataset(PairRDDFunctions.scala:1161)
at com.iteblog.App$.main(App.scala:62)
at com.iteblog.App.main(App.scala)`

一开始，我认为是jar冲突，但我仔细检查了jar：没有其他jar。spark和hadoop版本是：

<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>2.0.1</version>`

<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-core</artifactId>
<version>2.6.0-mr1-cdh5.5.0</version>

我发现taskid和tasktype都在hadoop核心jar中，但不在同一个包中。为什么mapred.taskid可以引用mapreduce.tasktype？