java.lang.ClassNotFoundException: org.apache.hadoop.mapred.JobConf

本文探讨了在Spark local模式下调试代码时遇到的Hadoop版本不一致问题,具体表现为hadoop-mapreduce-client-core、hadoop-common等模块版本差异导致的运行时错误。文章提供了两种解决方案:一是更换Hadoop版本,二是采用CDH(Cloudera Distribution Including Hadoop),以确保Spark与Hadoop组件之间的兼容性。

场景:spark local模式调试代码时运行时 hadoop 错误

原因: 引用的

hadoop-mapreduce-client-core

hadoop-common

hadoop-mapreduce-client-common

hadoop-mapreduce-client-jobclient
版本不一致

解决方案: 换版本 或者使用CDH

[root@hadoop01 bin]# schematool -dbType mysql -initSchema -verbose SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/opt/hive/lib/log4j-slf4j-impl-2.10.0.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/opt/hadoop/share/hadoop/common/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation. SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory] Exception in thread "main" java.lang.NoSuchMethodError: com.google.common.base.Preconditions.checkArgument(ZLjava/lang/String;Ljava/lang/Object;)V at org.apache.hadoop.conf.Configuration.set(Configuration.java:1357) at org.apache.hadoop.conf.Configuration.set(Configuration.java:1338) at org.apache.hadoop.mapred.JobConf.setJar(JobConf.java:518) at org.apache.hadoop.mapred.JobConf.setJarByClass(JobConf.java:536) at org.apache.hadoop.mapred.JobConf.<init>(JobConf.java:430) at org.apache.hadoop.hive.conf.HiveConf.initialize(HiveConf.java:5141) at org.apache.hadoop.hive.conf.HiveConf.<init>(HiveConf.java:5104) at org.apache.hive.beeline.HiveSchemaTool.<init>(HiveSchemaTool.java:96) at org.apache.hive.beeline.HiveSchemaTool.main(HiveSchemaTool.java:1473) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.hadoop.util.RunJar.run(RunJar.java:318) at org.apache.hadoop.util.RunJar.main(RunJar.java:232)
最新发布
11-22
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