最近遇到这样一个业务场景：
业务数据存储于 Hbase 中，并在 Hive 表中建立了 HBASE 映射表，已实现在 Hive 及 Impala 中可查，现想通过 Spark-SQL 进行查询，其中 Spark 集群基于 Yarn。
在打通 Spark-SQL-HBASE 的过程中遇到了很多问题，大部分问题可直接通过错误日志定位到答案，但如标题所示的错误让人无迹可寻。错误日志如下：
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1435)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1422)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1925)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1938)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1951)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:333)
at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:38)
at org.apache.spark.sql.execution.SparkPlan.executeCollectPublic(SparkPlan.scala:295)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$hiveResultString$4.apply(QueryExecution.scala:139)
at org.apache.spark.sql.execution.QueryExecution$$anonfun$hiveResultString$4.apply(QueryExecution.scala:138)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)
at org.apache.spark.sql.execution.QueryExecution.hiveResultString(QueryExecution.scala:138)
at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:63)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:335)
at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:247)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:743)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:187)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:212)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:126)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.IllegalStateException: unread block data
at java.io.ObjectInputStream$BlockDataInputStream.setBlockDataMode(ObjectInputStream.java:2421)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1382)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:75)
at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:114)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:298)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
查阅大量资料后，上述错误定位如下可能：
- Java 版本不一致
- 缺少Jar 包
- Spark 编译版本不兼容
小编的问题刚好就属于第二种，正是缺少了相关 jar 包导致。现将Spark-SQL 集成 Hbase 所需 jar 包罗列如下：
--jars
/opt/cloudera/parcels/CDH/lib/hbase/lib/hbase-client.jar,
/opt/cloudera/parcels/CDH/lib/hbase/lib/hbase-common.jar,
/opt/cloudera/parcels/CDH/lib/hbase/lib/hbase-protocol.jar,
/opt/cloudera/parcels/CDH/lib/hbase/lib/hbase-server.jar,
/opt/cloudera/parcels/CDH/lib/hbase/lib/metrics-core-2.2.0.jar,
/opt/cloudera/parcels/CDH/lib/hbase/lib/htrace-core.jar,
/opt/cloudera/parcels/CDH/lib/hbase/lib/zookeeper.jar,
/opt/cloudera/parcels/CDH/lib/hbase/lib/hive-hbase-handler.jar,
解决方案参考于以下链接，感谢大家的分享！
https://stackoverflow.com/questions/34901331/spark-hbase-error-java-lang-illegalstateexception-unread-block-data
