Hadoop中mapreduce作业给Hadoop中属性mapreduce.application.classpath配置类路径(Hadoop已经解压在了/usr/local目录下)

时间: 2025-05-17 09:32:33 浏览: 33
<think>好的,用户的问题是关于如何在Hadoop中配置mapreduce.application.classpath来设置MapReduce作业的类路径。首先,我需要回忆Hadoop的相关配置知识。 用户提到引用了几个关于Hadoop运行MapReduce时出现找不到主类的错误的资料,比如错误提到无法加载MRAppMaster类。这通常是由于类路径配置不正确导致的。因此,正确的类路径配置对于解决这些问题至关重要。 接下来,我需要确定mapreduce.application.classpath在Hadoop配置中的位置。根据引用[4],用户修改了mapred-site.xml文件,所以正确的配置应该在这个文件中。Hadoop 3.x版本中,类路径的配置参数可能已经更新,需要确认正确的参数名称和值。 然后,我需要查阅Hadoop官方文档或可靠资料,确认mapreduce.application.classpath的正确格式。Hadoop 3.1.3的默认类路径可能包括多个路径,比如Hadoop的安装目录下的share/hadoop/mapreduce/*、share/hadoop/mapreduce/lib/*等。需要确保这些路径正确指向用户的Hadoop安装位置,即/usr/local/hadoop-3.1.3。 同时,需要注意用户的环境变量是否设置正确,比如HADOOP_HOME是否指向正确的目录。如果环境变量有误,即使配置了mapred-site.xml,也可能导致类路径错误。 另外,用户可能在配置时遗漏了某些必要的路径,比如YARN相关的类路径,这也可能导致MRAppMaster无法加载。因此,配置时需要包括所有相关的JAR文件和目录。 最后,配置完成后需要重启Hadoop集群,以使配置生效。用户可能需要执行stop-yarn.sh和start-yarn.sh,或者完全重启Hadoop服务。 总结步骤应该是:编辑mapred-site.xml,添加正确的mapreduce.application.classpath属性,包含所有必要的路径,保存后重启服务。同时验证配置是否正确,可以通过运行示例程序如wordcount来测试。</think>### 如何在Hadoop中配置`mapreduce.application.classpath`? #### 步骤说明 1. **定位配置文件** 打开Hadoop的`mapred-site.xml`文件,路径为: ```bash vi /usr/local/hadoop-3.1.3/etc/hadoop/mapred-site.xml ``` 2. **添加类路径配置** 在`<configuration>`标签内添加以下配置项: ```xml <property> <name>mapreduce.application.classpath</name> <value> /usr/local/hadoop-3.1.3/share/hadoop/mapreduce/*, /usr/local/hadoop-3.1.3/share/hadoop/mapreduce/lib/*, /usr/local/hadoop-3.1.3/share/hadoop/common/*, /usr/local/hadoop-3.1.3/share/hadoop/common/lib/*, /usr/local/hadoop-3.1.3/share/hadoop/yarn/*, /usr/local/hadoop-3.1.3/share/hadoop/yarn/lib/* </value> </property> ``` **注意**:路径需根据实际安装目录调整,确保包含所有MapReduce依赖的JAR文件。 3. **验证并重启服务** - 保存配置文件后,重启Hadoop集群: ```bash stop-yarn.sh stop-dfs.sh start-dfs.sh start-yarn.sh ``` - 运行测试作业(如WordCount): ```bash hadoop jar $HADOOP_HOME/share/hadoop/mapreduce/hadoop-mapreduce-examples-3.1.3.jar wordcount /input /output ``` #### 关键原理 - **类路径的作用**:`mapreduce.application.classpath`定义了MapReduce作业运行时所需的依赖库路径。若配置错误,会导致`MRAppMaster`等核心类无法加载[^2][^3]。 - **兼容性要求**:Hadoop 3.x的默认类路径包含更多子目录(如`lib/*`),需显式声明所有路径[^4]。
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[hadoop@master flume]$ bin/flume-ng agent -n a2 -c conf -f job/spooldir-flume-hdfs.conf -Dflume.root.logger=INFO,console Info: Sourcing environment configuration script /opt/module/flume/conf/flume-env.sh Info: Including Hadoop libraries found via (/usr/local/hadoop/bin/hadoop) for HDFS access Info: Including HBASE libraries found via (/usr/local/hbase/bin/hbase) for HBASE access Info: Including Hive libraries found via () for Hive access + exec /usr/local/jdk1.8/bin/java -Xmx20m -Dflume.root.logger=INFO,console -cp '/opt/module/flume/conf:/opt/module/flume/lib/*:/usr/local/hadoop/etc/hadoop:/usr/local/hadoop/share/hadoop/common/lib/*:/usr/local/hadoop/share/hadoop/common/*:/usr/local/hadoop/share/hadoop/hdfs:/usr/local/hadoop/share/hadoop/hdfs/lib/*:/usr/local/hadoop/share/hadoop/hdfs/*:/usr/local/hadoop/share/hadoop/mapreduce/lib/*:/usr/local/hadoop/share/hadoop/mapreduce/*:/usr/local/hadoop/share/hadoop/yarn:/usr/local/hadoop/share/hadoop/yarn/lib/*:/usr/local/hadoop/share/hadoop/yarn/*:/usr/local/hbase/conf:/usr/local/jdk1.8/lib/tools.jar:/usr/local/hbase:/usr/local/hbase/lib/shaded-clients/hbase-shaded-client-2.1.0.jar:/usr/local/hbase/lib/client-facing-thirdparty/audience-annotations-0.5.0.jar:/usr/local/hbase/lib/client-facing-thirdparty/commons-logging-1.2.jar:/usr/local/hbase/lib/client-facing-thirdparty/findbugs-annotations-1.3.9-1.jar:/usr/local/hbase/lib/client-facing-thirdparty/htrace-core4-4.2.0-incubating.jar:/usr/local/hbase/lib/client-facing-thirdparty/log4j-1.2.17.jar:/usr/local/hbase/lib/client-facing-thirdparty/slf4j-api-1.7.25.jar:/usr/local/hbase/lib/client-facing-thirdparty/htrace-core-3.1.0-incubating.jar:/usr/local/hadoop/etc/hadoop:/usr/local/hbase/conf:/lib/*' -Djava.library.path= org.apache.flume.node.Application -n a2 -f job/spooldir-flume-hdfs.conf SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/opt/module/flume/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found bin

hadoop jar /home/2230502359zwn/hadoop-3.3.4/share/hadoop/mapreduce/hadoop-mapreduce-examples-3.3.4.jar grep input output ‘dfs[a-z.]+’ 2025-03-18 09:36:53,435 INFO impl.MetricsConfig: Loaded properties from hadoop-metrics2.properties 2025-03-18 09:36:53,472 INFO impl.MetricsSystemImpl: Scheduled Metric snapshot period at 10 second(s). 2025-03-18 09:36:53,473 INFO impl.MetricsSystemImpl: JobTracker metrics system started 2025-03-18 09:36:53,589 INFO mapreduce.JobSubmitter: Cleaning up the staging area file:/tmp/hadoop/mapred/staging/2230502359zwn76858394/.staging/job_local76858394_0001 ENOENT: No such file or directory at org.apache.hadoop.io.nativeio.NativeIO$POSIX.chmodImpl(Native Method) at org.apache.hadoop.io.nativeio.NativeIO$POSIX.chmod(NativeIO.java:382) at org.apache.hadoop.fs.RawLocalFileSystem.setPermission(RawLocalFileSystem.java:974) at org.apache.hadoop.fs.ChecksumFileSystem$1.apply(ChecksumFileSystem.java:591) at org.apache.hadoop.fs.ChecksumFileSystem$FsOperation.run(ChecksumFileSystem.java:572) at org.apache.hadoop.fs.ChecksumFileSystem.setPermission(ChecksumFileSystem.java:594) at org.apache.hadoop.fs.FileSystem.mkdirs(FileSystem.java:752) at org.apache.hadoop.mapreduce.JobResourceUploader.mkdirs(JobResourceUploader.java:660) at org.apache.hadoop.mapreduce.JobResourceUploader.uploadResourcesInternal(JobResourceUploader.java:174) at org.apache.hadoop.mapreduce.JobResourceUploader.uploadResources(JobResourceUploader.java:135) at org.apache.hadoop.mapreduce.JobSubmitter.copyAndConfigureFiles(JobSubmitter.java:99) at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:194) at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1571) at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1568) at java.security.AccessController.doPrivileged(Native Method) at javax.security.auth.Subject.doAs(Subject.java:422) at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1878) at org.apache.hadoop.ma

[root@hadoop1 bin]# hive SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/export/servers/hive-3.1.3/lib/log4j-slf4j-impl-2.17.1.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/export/servers/hadoop-3.3.0/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] /usr/bin/which: no hbase in (/export/servers/hive-3.1.3/bin:/export/servers/flume-1.9.0/bin:/root/.local/bin:/root/bin:/export/servers/flume-1.9.0/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/export/servers/jdk1.8.0_241/bin:/export/servers/hadoop-3.3.0/bin:/export/servers/hadoop-3.3.0/sbin:/export/servers/jdk1.8.0_241/bin:/export/servers/hadoop-3.3.0/bin:/export/servers/hadoop-3.3.0/sbin) SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/export/servers/hive-3.1.3/lib/log4j-slf4j-impl-2.17.1.jar!/org/slf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/export/servers/hadoop-3.3.0/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] Hive Session ID = c684811f-5c32-43ba-b621-c41d4ecf957a Logging initialized using configuration in jar:file:/export/servers/hive-3.1.3/lib/hive-common-3.1.3.jar!/hive-log4j2.properties Async: true Hive-on-MR is deprecated in Hive 2 and may not be available in the future versions. Consider using a different execution engine (i.e. spark, tez) or using Hive 1.X releases. hive (default)>

"C:\Program Files\Java\jdk-17\bin\java.exe" -Didea.launcher.port=54222 "-Didea.launcher.bin.path=D:\hadoop\IntelliJ IDEA Community Edition 2018.3.6\bin" -Dfile.encoding=UTF-8 -classpath "D:\hadoop\Hadoop\target\classes;D:\hadoop\hadoop-3.1.4\share\hadoop\client\hadoop-client-api-3.1.4.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\client\hadoop-client-runtime-3.1.4.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\client\hadoop-client-minicluster-3.1.4.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\common\hadoop-kms-3.1.4.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\common\hadoop-nfs-3.1.4.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\common\hadoop-common-3.1.4.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\common\hadoop-common-3.1.4-tests.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\hdfs\hadoop-hdfs-3.1.4.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\hdfs\hadoop-hdfs-nfs-3.1.4.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\hdfs\hadoop-hdfs-rbf-3.1.4.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\hdfs\hadoop-hdfs-3.1.4-tests.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\hdfs\hadoop-hdfs-client-3.1.4.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\hdfs\hadoop-hdfs-httpfs-3.1.4.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\hdfs\hadoop-hdfs-rbf-3.1.4-tests.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\hdfs\hadoop-hdfs-client-3.1.4-tests.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\hdfs\hadoop-hdfs-native-client-3.1.4.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\hdfs\hadoop-hdfs-native-client-3.1.4-tests.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\mapreduce\hadoop-mapreduce-examples-3.1.4.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\mapreduce\hadoop-mapreduce-client-hs-3.1.4.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\mapreduce\hadoop-mapreduce-client-app-3.1.4.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\mapreduce\hadoop-mapreduce-client-core-3.1.4.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\mapreduce\hadoop-mapreduce-client-common-3.1.4.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\mapreduce\hadoop-mapreduce-client-shuffle-3.1.4.jar;D:\hadoop\hadoop-3.1.4\share\hadoop\mapreduce\hadoop-mapreduce-c

2025-03-13 14:16:04,361 INFO mapreduce.Job: Job job_1741846445680_0001 failed with state FAILED due to: Application application_1741846445680_0001 failed 2 times due to AM Container for appattempt_1741846445680_0001_000002 exited with exitCode: 1 Failing this attempt.Diagnostics: [2025-03-13 14:16:03.777]Exception from container-launch. Container id: container_1741846445680_0001_02_000001 Exit code: 1 [2025-03-13 14:16:03.861]Container exited with a non-zero exit code 1. Error file: prelaunch.err. Last 4096 bytes of prelaunch.err : Last 4096 bytes of stderr : Error: Could not find or load main class org.apache.hadoop.mapreduce.v2.app.MRAppMaster Please check whether your etc/hadoop/mapred-site.xml contains the below configuration: <name>yarn.app.mapreduce.am.env</name> <value>HADOOP_MAPRED_HOME=${full path of your hadoop distribution directory}</value> <name>mapreduce.map.env</name> <value>HADOOP_MAPRED_HOME=${full path of your hadoop distribution directory}</value> <name>mapreduce.reduce.env</name> <value>HADOOP_MAPRED_HOME=${full path of your hadoop distribution directory}</value> [2025-03-13 14:16:03.862]Container exited with a non-zero exit code 1. Error file: prelaunch.err. Last 4096 bytes of prelaunch.err : Last 4096 bytes of stderr : Error: Could not find or load main class org.apache.hadoop.mapreduce.v2.app.MRAppMaster Please check whether your etc/hadoop/mapred-site.xml contains the below configuration: <name>yarn.app.mapreduce.am.env</name> <value>HADOOP_MAPRED_HOME=${full path of your hadoop distribution directory}</value> <name>mapreduce.map.env</name> <value>HADOOP_MAPRED_HOME=${full path of your hadoop distribution directory}</value> <name>mapreduce.reduce.env</name> <value>HADOOP_MAPRED_HOME=${full path of your hadoop distribution directory}</value> For more detailed output, check the application tracking page: http://hadoop01:8088/cluster/app/application_1741846445680_0001 Then click on links to logs of each attempt. . Failing the application. 2025-03-13 14:16:04,427 INFO mapreduce.Job: Counters: 0 报错日志

hadoop jar /opt/program/hadoop-3.1.3/share/hadoop/mapreduce/hadoop-mapreduce-examples-3.1.3.jar words.txt hdfs://hadoop:8020/input hdfs://hadoop1:8020/output/wc Unknown program 'words.txt' chosen. Valid program names are: aggregatewordcount: An Aggregate based map/reduce program that counts the words in the input files. aggregatewordhist: An Aggregate based map/reduce program that computes the histogram of the words in the input files. bbp: A map/reduce program that uses Bailey-Borwein-Plouffe to compute exact digits of Pi. dbcount: An example job that count the pageview counts from a database. distbbp: A map/reduce program that uses a BBP-type formula to compute exact bits of Pi. grep: A map/reduce program that counts the matches of a regex in the input. join: A job that effects a join over sorted, equally partitioned datasets multifilewc: A job that counts words from several files. pentomino: A map/reduce tile laying program to find solutions to pentomino problems. pi: A map/reduce program that estimates Pi using a quasi-Monte Carlo method. randomtextwriter: A map/reduce program that writes 10GB of random textual data per node. randomwriter: A map/reduce program that writes 10GB of random data per node. secondarysort: An example defining a secondary sort to the reduce. sort: A map/reduce program that sorts the data written by the random writer. sudoku: A sudoku solver. teragen: Generate data for the terasort terasort: Run the terasort teravalidate: Checking results of terasort wordcount: A map/reduce program that counts the words in the input files. wordmean: A map/reduce program that counts the average length of the words in the input files. wordmedian: A map/reduce program that counts the median length of the words in the input files. wordstandarddeviation: A map/reduce program that counts the standard deviation of the length of the words in the input files. [root@master hadoop]#

# # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # Set Hadoop-specific environment variables here. ## ## THIS FILE ACTS AS THE MASTER FILE FOR ALL HADOOP PROJECTS. ## SETTINGS HERE WILL BE READ BY ALL HADOOP COMMANDS. THEREFORE, ## ONE CAN USE THIS FILE TO SET YARN, HDFS, AND MAPREDUCE ## CONFIGURATION OPTIONS INSTEAD OF xxx-env.sh. ## ## Precedence rules: ## ## {yarn-env.sh|hdfs-env.sh} > hadoop-env.sh > hard-coded defaults ## ## {YARN_xyz|HDFS_xyz} > HADOOP_xyz > hard-coded defaults ## # Many of the options here are built from the perspective that users # may want to provide OVERWRITING values on the command line. # For example: # # JAVA_HOME=/usr/java/testing hdfs dfs -ls # # Therefore, the vast majority (BUT NOT ALL!) of these defaults # are configured for substitution and not append. If append # is preferable, modify this file accordingly. ### # Generic settings for HADOOP ### # Technically, the only required environment variable is JAVA_HOME. # All others are optional. However, the defaults are probably not # preferred. Many sites configure these options outside of Hadoop, # such as in /etc/profile.d # The java implementation to use. By default, this environment # variable is REQUIRED on ALL platforms except OS X! # export JAVA

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