使用spark 2.3 thriftserver与hive 2.2.0集成。从Spark直线跑。尝试将数据插入配置单元hbase表（以hbase作为存储的配置单元表）。插入到配置单元本机表是可以的。在向配置单元hbase表中插入时，会引发以下异常：
classcastexception:org.apache.hadoop.hive.hbase.hivehbasetableoutputformat不能转换为org.apache.hadoop.hive.ql.io.hiveoutputformat
在org.apache.spark.scheduler.task.run（task。scala:109)在org.apache.spark.executor.executor$taskrunner.run（executor。scala:345)位于java.util.concurrent.threadpoolexecutor.runworker（threadpoolexecutor。java:1149)在java.util.concurrent.threadpoolexecutor$worker.run（threadpoolexecutor。java:624)在java.lang.thread.run（线程。java:748)原因：java.lang.classcastexception:org.apache.hadoop.hive.hbase.hivehbasetableoutputformat不能转换为org.apache.hadoop.hive.ql.io.hiveoutputformat at org.apache.spark.sql.hive.execution.hivefileformat$$anon$1.outputformat$lzycompute（hivefileformat）。scala:93)k在写入行时失败。位于org.apache.spark.sql.execution.datasources.fileformatwriter$.org$apache$spark$sql$execution$datasources$fileformatwriter$$executetask（fileformatwriter）。scala:285)在org.apache.spark.sql.execution.datasources.fileformatwriter$$anonfun$write$1.apply（fileformatwriter。scala:197)在org.apache.spark.sql.execution.datasources.fileformatwriter$$anonfun$write$1.apply（fileformatwriter。scala:196)在org.apache.spark.scheduler.resulttask.runtask（resulttask。scala:87)在org.apache.spark.scheduler.task.run（task。scala:109)在org.apache.spark.executor.executor$taskrunner.run（executor。scala:345)在java.util.concurrent.threadpoolexecutor.runworker（threadpoolexecutor。java:1149)在java.util.concurrent.threadpoolexecutor$worker.run（threadpoolexecutor。java:624)在java.lang.thread.run（线程。java:748)原因：java.lang.classcastexception:org.apache.hadoop.hive.hbase.hivehbasetableoutputformat无法转换为org.apache.hadoop.hive.ql.io.hiveoutputformat位于org.apache.spark.sql.hive.execution.hivefileformat$$anon$1.outputformat$lzycompute（hivefileformat）。scala:93)