spark读取HBASE数据不能打印数据

2018-05-14 04:36:25 1.1k 阅读 AI 写同款 · GEO 优化AI 选题数据监测一键分发 ›

Spark如何读取Hbase特定查询的数据最近工作需要使用到Spark操作Hbase，上篇文章已经写了如何使用Spark读写Hbase全量表的数据做处理，但这次有所不同，这次的需求是Scan特定的Hbase的数据然后转换成RDD做后续处理，简单的使用Google查询了一下，发现实现方式还是比较简单的，用的还是Hbase的TableInputFormat相关的API。基础软件版本如下： Java代码阅读详情

按官方文档写了以下代码：

//读取数据并转化成rdd
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(count)

hBaseRDD.foreach{case (_,result) =>{
//获取行键
val key = Bytes.toString(result.getRow)
//通过列族和列名获取列
val name = Bytes.toString(result.getValue("A".getBytes,"姓名".getBytes))
val age = Bytes.toInt(result.getValue("A".getBytes,"年龄".getBytes))
println("Row key:"+key+"FileName :"+姓名+" 年龄:"+age)
}}

执行成功。但是未能打印出每条数据的具体信息，日志如下：

18/05/14 16:26:50 INFO DAGScheduler: ResultStage 0 (count at test.scala:64) finished in 2.515 s
18/05/14 16:26:50 INFO DAGScheduler: Job 0 finished: count at test.scala:64, took 2.642359 s
38
18/05/14 16:26:50 INFO SparkContext: Starting job: foreach at test.scala:71
18/05/14 16:26:50 INFO DAGScheduler: Got job 1 (foreach at test.scala:71) with 1 output partitions
18/05/14 16:26:50 INFO DAGScheduler: Final stage: ResultStage 1 (foreach at test.scala:71)
18/05/14 16:26:50 INFO DAGScheduler: Parents of final stage: List()
18/05/14 16:26:50 INFO DAGScheduler: Missing parents: List()
18/05/14 16:26:50 INFO DAGScheduler: Submitting ResultStage 1 (NewHadoopRDD[0] at newAPIHadoopRDD at test.scala:60), which has no missing parents
18/05/14 16:26:50 INFO MemoryStore: Block broadcast_2 stored as values in memory (estimated size 2.1 KB, free 897.2 MB)
18/05/14 16:26:50 INFO MemoryStore: Block broadcast_2_piece0 stored as bytes in memory (estimated size 1334.0 B, free 897.2 MB)
18/05/14 16:26:50 INFO BlockManagerInfo: Added broadcast_2_piece0 in memory on 10.251.6.153:56001 (size: 1334.0 B, free: 897.6 MB)
18/05/14 16:26:50 INFO SparkContext: Created broadcast 2 from broadcast at DAGScheduler.scala:1006
18/05/14 16:26:50 INFO DAGScheduler: Submitting 1 missing tasks from ResultStage 1 (NewHadoopRDD[0] at newAPIHadoopRDD at test.scala:60) (first 15 tasks are for partitions Vector(0))
18/05/14 16:26:50 INFO TaskSchedulerImpl: Adding task set 1.0 with 1 tasks
18/05/14 16:26:50 INFO TaskSetManager: Starting task 0.0 in stage 1.0 (TID 1, 10.124.130.14, executor 2, partition 0, ANY, 4919 bytes)
18/05/14 16:26:50 INFO BlockManagerInfo: Added broadcast_2_piece0 in memory on 10.124.130.14:54410 (size: 1334.0 B, free: 366.3 MB)
18/05/14 16:26:51 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory on 10.124.130.14:54410 (size: 29.8 KB, free: 366.3 MB)
18/05/14 16:26:52 INFO TaskSetManager: Finished task 0.0 in stage 1.0 (TID 1) in 2453 ms on 10.124.130.14 (executor 2) (1/1)
18/05/14 16:26:52 INFO TaskSchedulerImpl: Removed TaskSet 1.0, whose tasks have all completed, from pool
18/05/14 16:26:52 INFO DAGScheduler: ResultStage 1 (foreach at test.scala:71) finished in 2.454 s
18/05/14 16:26:52 INFO DAGScheduler: Job 1 finished: foreach at test.scala:71, took 2.469872 s

红色字体是HBASE表的总行数，但是下面的foreach没有任何数据打印出来，查了好几天了没找到问题所在
请大神赐教

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