相关配置可参考：https://blog.csdn.net/weixin_46389691/article/details/134126254
原作者：月亮给我抄代码 他写的很详细

ERROR : Job failed with java.lang.IllegalAccessError: tried to access method com.google.common.base.Stopwatch.<init>()V from class org.apache.hadoop.mapreduce.lib.input.FileInputFormatat org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:262)at org.apache.hadoop.hive.shims.Hadoop23Shims$1.listStatus(Hadoop23Shims.java:134)at org.apache.hadoop.mapreduce.lib.input.CombineFileInputFormat.getSplits(CombineFileInputFormat.java:217)at org.apache.hadoop.mapred.lib.CombineFileInputFormat.getSplits(CombineFileInputFormat.java:75)at org.apache.hadoop.hive.shims.HadoopShimsSecure$CombineFileInputFormatShim.getSplits(HadoopShimsSecure.java:321)at org.apache.hadoop.hive.ql.io.CombineHiveInputFormat.getCombineSplits(CombineHiveInputFormat.java:444)at org.apache.hadoop.hive.ql.io.CombineHiveInputFormat.getSplits(CombineHiveInputFormat.java:564)at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:200)at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)at scala.Option.getOrElse(Option.scala:121)at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)at org.apache.spark.rdd.RDD.getNumPartitions(RDD.scala:267)at org.apache.spark.api.java.JavaRDDLike$class.getNumPartitions(JavaRDDLike.scala:65)at org.apache.spark.api.java.AbstractJavaRDDLike.getNumPartitions(JavaRDDLike.scala:45)at org.apache.hadoop.hive.ql.exec.spark.SparkPlanGenerator.generateMapInput(SparkPlanGenerator.java:215)at org.apache.hadoop.hive.ql.exec.spark.SparkPlanGenerator.generateParentTran(SparkPlanGenerator.java:142)at org.apache.hadoop.hive.ql.exec.spark.SparkPlanGenerator.generate(SparkPlanGenerator.java:114)at org.apache.hadoop.hive.ql.exec.spark.RemoteHiveSparkClient$JobStatusJob.call(RemoteHiveSparkClient.java:359)at org.apache.hive.spark.client.RemoteDriver$JobWrapper.call(RemoteDriver.java:378)at org.apache.hive.spark.client.RemoteDriver$JobWrapper.call(RemoteDriver.java:343)at java.util.concurrent.FutureTask.run(FutureTask.java:266)at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)at java.lang.Thread.run(Thread.java:750)java.lang.IllegalAccessError: tried to access method com.google.common.base.Stopwatch.<init>()V from class org.apache.hadoop.mapreduce.lib.input.FileInputFormatat org.apache.hadoop.mapreduce.lib.input.FileInputFormat.listStatus(FileInputFormat.java:262)at org.apache.hadoop.hive.shims.Hadoop23Shims$1.listStatus(Hadoop23Shims.java:134)at org.apache.hadoop.mapreduce.lib.input.CombineFileInputFormat.getSplits(CombineFileInputFormat.java:217)at org.apache.hadoop.mapred.lib.CombineFileInputFormat.getSplits(CombineFileInputFormat.java:75)at org.apache.hadoop.hive.shims.HadoopShimsSecure$CombineFileInputFormatShim.getSplits(HadoopShimsSecure.java:321)at org.apache.hadoop.hive.ql.io.CombineHiveInputFormat.getCombineSplits(CombineHiveInputFormat.java:444)at org.apache.hadoop.hive.ql.io.CombineHiveInputFormat.getSplits(CombineHiveInputFormat.java:564)at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:200)at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)at scala.Option.getOrElse(Option.scala:121)at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)at org.apache.spark.rdd.RDD.getNumPartitions(RDD.scala:267)at org.apache.spark.api.java.JavaRDDLike$class.getNumPartitions(JavaRDDLike.scala:65)at org.apache.spark.api.java.AbstractJavaRDDLike.getNumPartitions(JavaRDDLike.scala:45)at org.apache.hadoop.hive.ql.exec.spark.SparkPlanGenerator.generateMapInput(SparkPlanGenerator.java:215)at org.apache.hadoop.hive.ql.exec.spark.SparkPlanGenerator.generateParentTran(SparkPlanGenerator.java:142)at org.apache.hadoop.hive.ql.exec.spark.SparkPlanGenerator.generate(SparkPlanGenerator.java:114)at org.apache.hadoop.hive.ql.exec.spark.RemoteHiveSparkClient$JobStatusJob.call(RemoteHiveSparkClient.java:359)at org.apache.hive.spark.client.RemoteDriver$JobWrapper.call(RemoteDriver.java:378)at org.apache.hive.spark.client.RemoteDriver$JobWrapper.call(RemoteDriver.java:343)at java.util.concurrent.FutureTask.run(FutureTask.java:266)at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)at java.lang.Thread.run(Thread.java:750)ERROR : FAILED: Execution Error, return code 3 from org.apache.hadoop.hive.ql.exec.spark.SparkTask. Spark job failed during runtime. Please check stacktrace for the root cause.

报以上问题时，原博主给的方法是置换guava版本，实际有人存在，对就是我，置换版本之后hive之间无法启动了，那么又该如何解决呢？
很简单，在该博主的步骤中上传spark纯净版jar下的jar包到hdfs上时，其实无需上传
hadoop-mapreduce-client-core-2.6.5.jar
这个包，已上传的删除即可正常运行！！！亲测可行！！