shell编程实例_shell编程实例大全_linux shell编程实例_shell脚本编程实例
shell编程实例
第一部分:Hadoop Bin
后面根据项目的实际需要Hadoop Bin 包括:
Hadoop hadoop的Shell
hadoop-config.sh 它的作用是对一些变量进行赋值
HADOOP_HOME(hadoop的安装目录)。
HADOOP_CONF_DIR(hadoop的配置文件目录)。HADOOP_SLAVES(–hosts指定的文件的地址)
hadoop-daemon.sh 单节点启动
hadoop-daemons.sh 启动slaves.sh和hadoop-daemon.sh
start-all.sh 启动HDFS与MapReduce
start-balancer.sh 启动Hadoop的负载均衡
start-dfs.sh 启动HDFS
start-jobhistoryserver.sh
start-mapred.sh 启动MapReduce
来进行调整。
后面根据项目的实际需要Hadoop Bin 包括:
Hadoop hadoop的Shell
hadoop-config.sh 它的作用是对一些变量进行赋值
HADOOP_HOME(hadoop的安装目录)。
HADOOP_CONF_DIR(hadoop的配置文件目录)。
HADOOP_SLAVES(–hosts指定的文件的地址)
hadoop-daemon.sh 单节点启动
hadoop-daemons.sh 在所有slaves上运行相同的脚本hadoop-daemon.sh
start-all.sh 启动HDFS与MapReduce
start-balancer.sh 启动Hadoop的负载均衡
start-dfs.sh 启动HDFS
start-jobhistoryserver.sh
start-mapred.sh 启动MapReduce
来进行调整。
stop-all.sh 停止HDFS与MapReduce
stop-balancer.sh 停止做负载均衡
stop-dfs.sh 停止HDFS
stop-jobhistoryserver.sh 停止Job追踪
stop-mapred.sh 停止MapReduce
task-controller
第二部分:Hadoop Shell 基本操作
nHadoop shell
包括: namenode -format format the DFS filesystem
secondarynamenode run the DFS secondary namenode
namenode run the DFS namenode
datanode run a DFS datanode
dfsadmin run a DFS admin client
mradmin run a Map-Reduce admin client
fsck run a DFS filesystem checking utility
fs run a generic filesystem user client
balancer run a cluster balancing utility
fetchdt fetch delegation token from the NameNode
jobtracker run the MapReduce job Tracker node
pipes run a Pipes job
tasktracker run a MapReduce task Tracker node
historyserver run job history servers as a standalone daemon
job manipulate MapReduce jobs
queue get information regarding JobQueues
version print the version
jar <jar> run a jar file
distcp <srcurl> <desturl> copy file or directories recursively
archive -archiveName NAME -p <parent path> <src>* <dest> create a hadoop archive
classpath prints the class path needed to get the
Hadoop jar and the required libraries
daemonlog get/set the log level for each daemon
or
CLASSNAME run the class named CLASSNAME
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