首先声明，我是一个菜鸟。一下文章中出现技术误导情况盖不负责
Pig大的运行方法：
1、脚本
2、Grunt
3、嵌入式
Grunt
1、主动补全制机 （令命补全、不支持文件名补全）
2、autocomplete文件
3、Eclipse件插PigPen
进入Grunt shell令命
[hadoop@master pig]$ ./bin/pig
2013-04-13 23:00:19,909 [main] INFO org.apache.pig.Main - Apache Pig version 0.10.0 (r1328203) compiled Apr 19 2012, 22:54:12 2013-04-13 23:00:19,909 [main] INFO org.apache.pig.Main - Logging error messages to: /opt/pig/pig_1365865219902.log 2013-04-13 23:00:20,237 [main] INFO org.apache.pig.backend.hadoop.executionengine.HExecutionEngine - Connecting to hadoop file system at: hdfs://192.168.154.100:9000 2013-04-13 23:00:20,536 [main] INFO org.apache.pig.backend.hadoop.executionengine.HExecutionEngine - Connecting to map-reduce job tracker at: 192.168.154.100:9001
帮助（help）
grunt> help
Commands: <pig latin statement>; - See the PigLatin manual for details: http://hadoop.apache.org/pig File system commands: fs <fs arguments> - Equivalent to Hadoop dfs command: http://hadoop.apache.org/common/docs/current/hdfs_shell.html Diagnostic commands: describe <alias>[::<alias] - Show the schema for the alias. Inner aliases can be described as A::B. explain [-script <pigscript>] [-out <path>] [-brief] [-dot] [-param <param_name>=<param_value>] [-param_file <file_name>] [<alias>] - Show the execution plan to compute the alias or for entire script. -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. -param <param_name - See parameter substitution for details. -param_file <file_name> - See parameter substitution for details. alias - Alias to explain. dump <alias> - Compute the alias and writes the results to stdout. Utility Commands: exec [-param <param_name>=param_value] [-param_file <file_name>] <script> - Execute the script with access to grunt environment including aliases. -param <param_name - See parameter substitution for details. -param_file <file_name> - See parameter substitution for details. script - Script to be executed. run [-param <param_name>=param_value] [-param_file <file_name>] <script> - Execute the script with access to grunt environment. -param <param_name - See parameter substitution for details. -param_file <file_name> - See parameter substitution for details. script - Script to be executed. sh <shell command> - Invoke a shell command. kill <job_id> - Kill the hadoop job specified by the hadoop job id. set <key> <value> - Provide execution parameters to Pig. Keys and values are case sensitive. The following keys are supported: default_parallel - Script-level reduce parallelism. Basic input size heuristics used by default. debug - Set debug on or off. Default is off. job.name - Single-quoted name for jobs. Default is PigLatin:<script name> job.priority - Priority for jobs. Values: very_low, low, normal, high, very_high. Default is normal stream.skippath - String that contains the path. This is used by streaming. any hadoop property. help - Display this message. quit - Quit the grunt shell.
查看（ls、cd 、cat）
grunt> ls
hdfs://192.168.154.100:9000/user/hadoop/in <dir> hdfs://192.168.154.100:9000/user/hadoop/out <dir>grunt> cd in
grunt> ls hdfs://192.168.154.100:9000/user/hadoop/in/test1.txt<r 1> 12 hdfs://192.168.154.100:9000/user/hadoop/in/test2.txt<r 1> 13 hdfs://192.168.154.100:9000/user/hadoop/in/test_1.txt<r 1> 328 hdfs://192.168.154.100:9000/user/hadoop/in/test_2.txt<r 1> 139 grunt> cat test1.txt hello world
复制到当地（copyToLocal）
grunt> ls
hdfs://192.168.154.100:9000/user/hadoop/in/test1.txt<r 1> 12 hdfs://192.168.154.100:9000/user/hadoop/in/test2.txt<r 1> 13 hdfs://192.168.154.100:9000/user/hadoop/in/test_1.txt<r 1> 328 hdfs://192.168.154.100:9000/user/hadoop/in/test_2.txt<r 1> 139 grunt> copyToLocal test1.txt ttt
[root@master pig]# ls -l ttt
-rwxrwxrwx. 1 hadoop hadoop 12 4月 13 23:06 ttt [root@master pig]#行执操纵系统令命：sh
grunt> sh jps
2098 DataNode 1986 NameNode 2700 Jps 2539 RunJar 2297 JobTracker 2211 SecondaryNameNode 2411 TaskTracker grunt>
Pig数据模型
Bag：表
Tuple：行，录记
Field：性属
Pig不要求同一个bag面里的各个tuple有雷同数量或雷同类型的field
Pig latin经常使用语句
LOAD：指出载入数据的方法
FOREACH：逐行扫描行进某种处置
FILTER：滤过行
DUMP：把结果表现到屏幕
STORE：把结果保存到文件
pig脚本实例：
grunt> records = LOAD 'input/ncdc/micro-tab/sample.txt'
>> AS (year:chararray, temerature:int, quality:int);
(1949,111)
(1950,22)
由此功成算计年每的最高气温。
实例二：
文章结束给大家分享下程序员的一些笑话语录： 看到有人回帖“不顶不是中国人”，他的本意是想让帖子沉了。