问题：spark操作HBase的时候报错Result为序列化问题
报错：
Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 0.0 in stage 1.0 (TID 1) had a not serializable result: org.apache.hadoop.hbase.client.Result
Serialization stack:
- object not serializable (class: org.apache.hadoop.hbase.client.Result, value: keyvalues={tjiloaB#3#20190520/wifiTargetCF:inNum/1581004136600/Put/vlen=4/seqid=0, tjiloaB#3#20190520/wifiTargetCF:outNum/1581004136600/Put/vlen=4/seqid=0})
- element of array (index: 0)
- array (class [Lorg.apache.hadoop.hbase.client.Result;, size 1)
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1640)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1845)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1858)
at org.apache.spark.rdd.RDD$$anonfun$take$1.apply(RDD.scala:1328)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
at org.apache.spark.rdd.RDD.take(RDD.scala:1302)
at cn.com.winner.TestHbase2$.main(TestHbase2.scala:39)
at cn.com.winner.TestHbase2.main(TestHbase2.scala)
23:27:47.914 [Thread-2] INFO org.apache.spark.SparkContext - Invoking stop() from shutdown hook
问题解决：
在SparkConf中设置序列化选项：
val conf = new SparkConf().setMaster("local[2]").setAppName("testHbase")
conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
注意，这个设置项如果加在在HBaseConf中是没有用的，比如：
val hconf = HBaseConfiguration.create()
hconf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")