一.启动集群时 1.节点启动失败 1.1端口占用 1.1报错信息:address already in use - bind Address:50070 解决步骤: 查询端口占用:lsof -i:50070 查询到占用端口的进程:pid 杀死进程:kill -9 {pid} 1.2找不到路径 1.2报错信息(namenode):could not find dir:xxx -> 找不到namenode格式化产生的路径 格式化:hdfs namenode -format 每次格式化时都会产生新的集

用java运行Hadoop例程报错:org.apache.hadoop.fs.LocalFileSystem cannot be cast to org.apache.所写代码如下: package com.pcitc.hadoop; import java.io.IOException; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.FileSystem; import org.apache.h

eclipse运行hadoop程序报错:Connection refused: no further information log4j:WARN No appenders could be found for logger (org.apache.hadoop.conf.Configuration.deprecation). log4j:WARN Please initialize the log4j system properly. log4j:WARN See http://logging

root用户执行hadoop命令报错: [root@vmocdp125 conf]# hadoop fs -ls /user/ [INFO] 17:50:42 main [RetryInvocationHandler]Exception while invoking getFileInfo of class ClientNamenodeProtocolTranslatorPB over vmocdp127.test.com/172.16.145.127:8020. Trying to fail

Maven引入Hadoop依赖报错:Missing artifact jdk.tools:jdk.tools:jar:1.6 原因是缺少tools.jar的依赖,tools.jar在jdk的安装目录中提供了,所以改成如下形式解决此问题:添加依赖 <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-mapreduce-client-core</artifactId>

1.      hadoop启动报错 1.1.    问题1 util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 主要是依赖包 版本 过低的问题. 首先要定位问题,出现该问题的原因主要是hadoop native下面的hadoop静态库的问题: libhadoop.so.1.0.0 原因一: 网上有很

Error: java.io.IOException: Initialization of all the collectors failed. Error in last collector was :interface javax.xml.soap.Text Initialization of all the collectors failed  : 初始化所有收集器失败 2016-03-12 20:08:46,874 WARN org.apache.hadoop.hdfs.DFSClien

删除项目文件夹下的target文件夹里面内容,重新运行测试代码,报错 org.testng.TestNGException: Cannot find class in classpath: com.fc.htgl.testcases.TestOrderYD at org.testng.xml.XmlClass.loadClass(XmlClass.java:81) at org.testng.xml.XmlClass.init(XmlClass.java:73) at org.testng.xm

在win7用Ant编译hadoop工程的时候,遇到了一个报错,如下: org.eclipse.core.runtime.CoreException: D:\workspace\hadoop-1.1.2\build.xml:83: Execute failed: java.io.IOException: Cannot run program "sed" 打开build.xml文件,找到sed,然后把注释掉即可,这段内容是为了替换苹果系统的空格的,但是..Windows出错啦,也难怪,因为

内容源自:https://blog.csdn.net/u014470581/article/details/51480600 报错信息: Exception in thread "main" java.lang.reflect.InvocationTargetException at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.in

报错: 经过查看集群的jps如下: ==================== hadoop01 jps =================== FsShell ResourceManager NameNode Jps ==================== hadoop02 jps =================== NodeManager DataNode JournalNode QuorumPeerMain Jps ==================== hadoop03 jps =

报如错误:JAVA_HOME is not set and could not be found,可能是因为JAVA_HOME环境没配置正确,还有一种情况是即使各结点都正确地配置了JAVA_HOME,但在集群环境下还是报该错误,解决方法是显示地重新声明一遍JAVA_HOME 1.检查JAVA_HOME是否配置正确(伪分布式环境) 启动start-all.sh时报错,如下所示 解决方法: 输入java –version,查看jdk是否安装成功 输入export,查看jdk环境变量是否设置成功 2.

hadoop启动journalnode时报错:localhost: ssh: Could not resolve hostname localhost: Temporary failure in name resolution 解决办法:将高亮部分补充到/etc/profile中,然后source生效 export JAVA_HOME=/opt/module/jdk1.8.0_144 export HADOOP_HOME=/opt/ha/hadoop-2.7.4 export HADOOP_CO

1.Hadoop安装完后,启动时报Error: JAVA_HOME is not set and could not be found. 解决办法: 修改/etc/hadoop/hadoop-env.sh中设JAVA_HOME. 应当使用绝对路径 2.namenode没有启动 首先运行bin/start-all.sh发现namenode没有启动 只有它们 9428 DataNode 9712 JobTracker 9626 SecondaryNameNode 9983 Jps 9915 Task

这个错误是由于配置文件没有配置好.解决方案如下: 1 打开profile文件 vim /etc/profile 2 在文件最后加入的内容应该如下(高亮的两句一般是大家缺少的): export JAVA_HOME=/usr/java/jdk export HADOOP_HOME=/itcast/hadoop-2.6.4 export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/nativeexport HADOOP_OPTS="-Djava.libr

baidu了很多,都说防火墙,datanode没有正常启动的问题,可是检查了都是正常,后来还是在老外的网站上找到了解决的方法 修改了/etc/security/limits.conf文件,上传成功 这些hadoop的报错都是莫名其妙,从这个日志无法看出是这个的问题,看来还是要自己慢慢积累 * soft nofile 65536 * hard nofile 65536 hadoop dfs -put 1.txt /input/ 报错日志如下: 15/06/24 14:45:40 WARN util

环境: openSUSE42.2 hadoop2.6.0-cdh5.10.0 spark1.6.0-cdh5.10.0 按照网上的spark安装教程安装完之后,启动spark-shell,出现如下报错: 报错信息: Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/hadoop/fs/FSDataInputStream at org.apache.spark.deploy.SparkSubmitA

先上代码: table = tablexx.select('*).tablexx.groupBy('x).select('x, xx.count ) tableEnvironment // declare the external system to connect to .connect( new Kafka() .version("0.10") .topic("test-input") .startFromEarliest() .property("z

Hbase master启动报错: java.lang.RuntimeException: Failed construction of Master: class org.apache.hadoop.hbase.master.HMaster at org.apache.hadoop.hbase.master.HMaster.constructMaster(HMaster.java:2893) at org.apache.hadoop.hbase.master.HMasterCommandLin

报错背景: CDH中集成hive插件,启动报错. 报错现象: [main]: Metastore Thrift Server threw an exception... javax.jdo.JDOFatalInternalException: Error creating transactional connection factory at org.datanucleus.api.jdo.NucleusJDOHelper.getJDOExceptionForNucleusException(N

用的apache Hadoop3.X,今天运行MR报错: 找不到或无法加载主类 org.apache.hadoop.mapreduce.v2.app.MRAppMaster 关键需要配置两个配置:mapred-site.xml 和 yarn-site.xml下面配置hadoop classpath. 先运行shell命令:hadoop classpath 复制输出到上面两个文件中: 重启下集群就好了.