博客
关于我
强烈建议你试试无所不能的chatGPT,快点击我
Hadoop Pig学习笔记(一) 各种SQL在PIG中实现
阅读量:7112 次
发布时间:2019-06-28

本文共 3181 字,大约阅读时间需要 10 分钟。

我这里以Mysql 5.1.x为例,Pig的版本是0.8

同时我将数据放在了两个文件,存放在/tmp/data_file_1和/tmp/data_file_2中.文件内容如下:

tmp_file_1:

Txt代码
  1. zhangsan 23 1
  2. lisi 24 1
  3. wangmazi 30 1
  4. meinv 18 0
  5. dama 55 0
zhangsan231lisi241wangmazi301meinv180dama550

tmp_file_2:

Txt代码
  1. 1 a
  2. 23 bb
  3. 50 ccc
  4. 30 dddd
  5. 66 eeeee
1a23bb50ccc30dddd66eeeee

1.从文件导入数据

1)Mysql (Mysql需要先创建表).

CREATE TABLE TMP_TABLE(USER VARCHAR(32),AGE INT,IS_MALE BOOLEAN);

CREATE TABLE TMP_TABLE_2(AGE INT,OPTIONS VARCHAR(50)); -- 用于Join

LOAD DATA LOCAL INFILE '/tmp/data_file_1' INTO TABLE TMP_TABLE ;

LOAD DATA LOCAL INFILE '/tmp/data_file_2' INTO TABLE TMP_TABLE_2;

2)Pig

tmp_table = LOAD '/tmp/data_file_1' USING PigStorage('\t') AS (user:chararray, age:int,is_male:int);

tmp_table_2= LOAD '/tmp/data_file_2' USING PigStorage('\t') AS (age:int,options:chararray);

2.查询整张表

1)Mysql

SELECT * FROM TMP_TABLE;

2)Pig

DUMP tmp_table;

3. 查询前50行

1)Mysql

SELECT * FROM TMP_TABLE LIMIT 50;

2)Pig

tmp_table_limit = LIMIT tmp_table 50;

DUMP tmp_table_limit;

4.查询某些列

1)Mysql

SELECT USER FROM TMP_TABLE;

2)Pig

tmp_table_user = FOREACH tmp_table GENERATE user;

DUMP tmp_table_user;

5. 给列取别名

1)Mysql

SELECT USER AS USER_NAME,AGE AS USER_AGE FROM TMP_TABLE;

2)Pig

tmp_table_column_alias = FOREACH tmp_table GENERATE user AS user_name,age AS user_age;

DUMP tmp_table_column_alias;

6.排序

1)Mysql

SELECT * FROM TMP_TABLE ORDER BY AGE;

2)Pig

tmp_table_order = ORDER tmp_table BY age ASC;

DUMP tmp_table_order;

7.条件查询

1)Mysql

SELECT * FROM TMP_TABLE WHERE AGE>20;

2) Pig

tmp_table_where = FILTER tmp_table by age > 20;

DUMP tmp_table_where;

8.内连接Inner Join

1)Mysql

SELECT * FROM TMP_TABLE A JOIN TMP_TABLE_2 B ON A.AGE=B.AGE;

2)Pig

tmp_table_inner_join = JOIN tmp_table BY age,tmp_table_2 BY age;

DUMP tmp_table_inner_join;

9.左连接Left Join

1)Mysql

SELECT * FROM TMP_TABLE A LEFT JOIN TMP_TABLE_2 B ON A.AGE=B.AGE;

2)Pig

tmp_table_left_join = JOIN tmp_table BY age LEFT OUTER,tmp_table_2 BY age;

DUMP tmp_table_left_join;

10.右连接Right Join

1)Mysql

SELECT * FROM TMP_TABLE A RIGHT JOIN TMP_TABLE_2 B ON A.AGE=B.AGE;

2)Pig

tmp_table_right_join = JOIN tmp_table BY age RIGHT OUTER,tmp_table_2 BY age;

DUMP tmp_table_right_join;

11.全连接Full Join

1)Mysql

SELECT * FROM TMP_TABLE A JOIN TMP_TABLE_2 B ON A.AGE=B.AGE

UNION SELECT * FROM TMP_TABLE A LEFT JOIN TMP_TABLE_2 B ON A.AGE=B.AGE

UNION SELECT * FROM TMP_TABLE A RIGHT JOIN TMP_TABLE_2 B ON A.AGE=B.AGE;

2)Pig

tmp_table_full_join = JOIN tmp_table BY age FULL OUTER,tmp_table_2 BY age;

DUMP tmp_table_full_join;

12.同时对多张表交叉查询

1)Mysql

SELECT * FROM TMP_TABLE,TMP_TABLE_2;

2)Pig

tmp_table_cross = CROSS tmp_table,tmp_table_2;

DUMP tmp_table_cross;

13.分组GROUP BY

1)Mysql

SELECT * FROM TMP_TABLE GROUP BY IS_MALE;

2)Pig

tmp_table_group = GROUP tmp_table BY is_male;

DUMP tmp_table_group;

14.分组并统计

1)Mysql

SELECT IS_MALE,COUNT(*) FROM TMP_TABLE GROUP BY IS_MALE;

2)Pig

tmp_table_group_count = GROUP tmp_table BY is_male;

tmp_table_group_count = FOREACH tmp_table_group_count GENERATE group,COUNT($1);

DUMP tmp_table_group_count;
 

15.查询去重DISTINCT

1)MYSQL

SELECT DISTINCT IS_MALE FROM TMP_TABLE;

2)Pig

tmp_table_distinct = FOREACH tmp_table GENERATE is_male;

tmp_table_distinct = DISTINCT tmp_table_distinct;

DUMP tmp_table_distinct;

本文作者:佚名

来源:51CTO

转载地址:http://nfqhl.baihongyu.com/

你可能感兴趣的文章
Linux系统DNS域名解析服务
查看>>
《LTE教程:原理与实现(第3版)》第1章扩展阅读
查看>>
C语言排序
查看>>
ls命令(常用选项)详解
查看>>
CISCO ACL配置详解
查看>>
回顾我学过的编程语言
查看>>
Linux终端下 dstat 监控工具
查看>>
思科认证——网络工程师
查看>>
elasticsearch安装
查看>>
su,passwd,ls,timestamp,cd,type,hash的简要整理
查看>>
【转】eclipse打不开,提示错误“Error:could not open 'D:\JAVA\JDK\lib\i386\jvm.cfg'"
查看>>
我的友情链接
查看>>
【×××系列五】multipoint Gre Over Ipsec 配置详解
查看>>
KVM的基本使用情况
查看>>
clonezilla搭建
查看>>
SpringMvc笔记
查看>>
MM们改掉不好的生活习惯 瘦肚子其实很简单
查看>>
Windows 2008 DHCP中继(Relay)
查看>>
RHEL6字符模式安装图形界面
查看>>
修改3389端口
查看>>