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本篇内容介绍了“pig的基本操作介绍”的有关知识,在实际案例的操作过程中,不少人都会遇到这样的困境,接下来就让小编带领大家学习一下如何处理这些情况吧!希望大家仔细阅读,能够学有所成!
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pig是什么?
我的理解是: pig就相当于 shell , hadoop就相当于linux (所以我尽可能的会使用pig操作hadoop的文件)
1.进入HADOOP_HOME目录。
2.执行sh bin/hadoop
我们可以看到更多命令的说明信息:
Usage: hadoop [--config confdir] COMMAND
where COMMAND is one of:
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
fsck run a DFS filesystem checking utility
fs run a generic filesystem user client
balancer run a cluster balancing utility
jobtracker run the MapReduce job Tracker node
pipes run a Pipes job
tasktracker run a MapReduce task Tracker node
job manipulate MapReduce jobs
queue get information regarding JobQueues
version print the version
jar
distcp
archive -archiveName NAME
daemonlog get/set the log level for each daemon
or
CLASSNAME run the class named CLASSNAME
Most commands print help when invoked w/o parameters.
常用pig命令
ls/ pwd/ cd
例如: 查看文件大小
grunt> fs -du -h -s 文件名
19.4 G 文件名
grunt> help
Commands:
File system commands:
fs
Diagnostic commands:
describe
[-param_file
-script - Explain the entire script.
-out - Store the output into directory rather than print to stdout.
-brief - Don't expand nested plans (presenting a smaller graph for overview).
-dot - Generate the output in .dot format. Default is text format.
-xml - Generate the output in .xml format. Default is text format.
-param
alias - Alias to explain.
dump
Utility Commands:
exec [-param