Hive函数：LAG,LEAD,FIRST_VALUE,LAST

参考自大数据田地：http://lxw1234.com/archives/2015/04/190.htm

测试数据准备：

create external table test_data (

cookieid string,

createtime string,  --页面访问时间

url string       --被访问页面

) ROW FORMAT DELIMITED

FIELDS TERMINATED BY ','

stored as textfile location '/user/jc_rc_ftp/test_data';

 select * from test_data l;

+-------------+----------------------+---------+--+

| l.cookieid  |     l.createtime     |  l.url  |

+-------------+----------------------+---------+--+

| cookie1     | 2015-04-10 10:00:02  | url2    |

| cookie1     | 2015-04-10 10:00:00  | url1    |

| cookie1     | 2015-04-10 10:03:04  | 1url3   |

| cookie1     | 2015-04-10 10:50:05  | url6    |

| cookie1     | 2015-04-10 11:00:00  | url7    |

| cookie1     | 2015-04-10 10:10:00  | url4    |

| cookie1     | 2015-04-10 10:50:01  | url5    |

| cookie2     | 2015-04-10 10:00:02  | url22   |

| cookie2     | 2015-04-10 10:00:00  | url11   |

| cookie2     | 2015-04-10 10:03:04  | 1url33  |

| cookie2     | 2015-04-10 10:50:05  | url66   |

| cookie2     | 2015-04-10 11:00:00  | url77   |

| cookie2     | 2015-04-10 10:10:00  | url44   |

| cookie2     | 2015-04-10 10:50:01  | url55   |

+-------------+----------------------+---------+--+

LAG
LAG(col,n,DEFAULT) 用于统计窗口内往上第n行值

第一个参数为列名，第二个参数为往上第n行（可选，默认为1），第三个参数为默认值（当往上第n行为NULL时候，取默认值，如不指定，则为NULL）

SELECT cookieid,

createtime,

url,

ROW_NUMBER() OVER(PARTITION BY cookieid ORDER BY createtime) AS rn,

LAG(createtime,1,'1970-01-01 00:00:00') OVER(PARTITION BY cookieid ORDER BY createtime) AS last_1_time,

LAG(createtime,2) OVER(PARTITION BY cookieid ORDER BY createtime) AS last_2_time

FROM test_data;

+-----------+----------------------+---------+-----+----------------------+----------------------+--+

| cookieid  |      createtime      |   url   | rn  |     last_1_time      |     last_2_time      |

+-----------+----------------------+---------+-----+----------------------+----------------------+--+

| cookie1   | 2015-04-10 10:00:00  | url1    | 1   | 1970-01-01 00:00:00  | NULL                 |

| cookie1   | 2015-04-10 10:00:02  | url2    | 2   | 2015-04-10 10:00:00  | NULL                 |

| cookie1   | 2015-04-10 10:03:04  | 1url3   | 3   | 2015-04-10 10:00:02  | 2015-04-10 10:00:00  |

| cookie1   | 2015-04-10 10:10:00  | url4    | 4   | 2015-04-10 10:03:04  | 2015-04-10 10:00:02  |

| cookie1   | 2015-04-10 10:50:01  | url5    | 5   | 2015-04-10 10:10:00  | 2015-04-10 10:03:04  |

| cookie1   | 2015-04-10 10:50:05  | url6    | 6   | 2015-04-10 10:50:01  | 2015-04-10 10:10:00  |

| cookie1   | 2015-04-10 11:00:00  | url7    | 7   | 2015-04-10 10:50:05  | 2015-04-10 10:50:01  |

| cookie2   | 2015-04-10 10:00:00  | url11   | 1   | 1970-01-01 00:00:00  | NULL                 |

| cookie2   | 2015-04-10 10:00:02  | url22   | 2   | 2015-04-10 10:00:00  | NULL                 |

| cookie2   | 2015-04-10 10:03:04  | 1url33  | 3   | 2015-04-10 10:00:02  | 2015-04-10 10:00:00  |

| cookie2   | 2015-04-10 10:10:00  | url44   | 4   | 2015-04-10 10:03:04  | 2015-04-10 10:00:02  |

| cookie2   | 2015-04-10 10:50:01  | url55   | 5   | 2015-04-10 10:10:00  | 2015-04-10 10:03:04  |

| cookie2   | 2015-04-10 10:50:05  | url66   | 6   | 2015-04-10 10:50:01  | 2015-04-10 10:10:00  |

| cookie2   | 2015-04-10 11:00:00  | url77   | 7   | 2015-04-10 10:50:05  | 2015-04-10 10:50:01  |

+-----------+----------------------+---------+-----+----------------------+----------------------+--+

LEAD

与LAG相反
LEAD(col,n,DEFAULT) 用于统计窗口内往下第n行值
第一个参数为列名，第二个参数为往下第n行（可选，默认为1），第三个参数为默认值（当往下第n行为NULL时候，取默认值，如不指定，则为NULL）

SELECT cookieid,

createtime,

url,

ROW_NUMBER() OVER(PARTITION BY cookieid ORDER BY createtime) AS rn,

LEAD(createtime,1,'1970-01-01 00:00:00') OVER(PARTITION BY cookieid ORDER BY createtime) AS next_1_time,

LEAD(createtime,2) OVER(PARTITION BY cookieid ORDER BY createtime) AS next_2_time

FROM test_data;

+-----------+----------------------+---------+-----+----------------------+----------------------+--+

| cookieid  |      createtime      |   url   | rn  |     next_1_time      |     next_2_time      |

+-----------+----------------------+---------+-----+----------------------+----------------------+--+

| cookie1   | 2015-04-10 10:00:00  | url1    | 1   | 2015-04-10 10:00:02  | 2015-04-10 10:03:04  |

| cookie1   | 2015-04-10 10:00:02  | url2    | 2   | 2015-04-10 10:03:04  | 2015-04-10 10:10:00  |

| cookie1   | 2015-04-10 10:03:04  | 1url3   | 3   | 2015-04-10 10:10:00  | 2015-04-10 10:50:01  |

| cookie1   | 2015-04-10 10:10:00  | url4    | 4   | 2015-04-10 10:50:01  | 2015-04-10 10:50:05  |

| cookie1   | 2015-04-10 10:50:01  | url5    | 5   | 2015-04-10 10:50:05  | 2015-04-10 11:00:00  |

| cookie1   | 2015-04-10 10:50:05  | url6    | 6   | 2015-04-10 11:00:00  | NULL                 |

| cookie1   | 2015-04-10 11:00:00  | url7    | 7   | 1970-01-01 00:00:00  | NULL                 |

| cookie2   | 2015-04-10 10:00:00  | url11   | 1   | 2015-04-10 10:00:02  | 2015-04-10 10:03:04  |

| cookie2   | 2015-04-10 10:00:02  | url22   | 2   | 2015-04-10 10:03:04  | 2015-04-10 10:10:00  |

| cookie2   | 2015-04-10 10:03:04  | 1url33  | 3   | 2015-04-10 10:10:00  | 2015-04-10 10:50:01  |

| cookie2   | 2015-04-10 10:10:00  | url44   | 4   | 2015-04-10 10:50:01  | 2015-04-10 10:50:05  |

| cookie2   | 2015-04-10 10:50:01  | url55   | 5   | 2015-04-10 10:50:05  | 2015-04-10 11:00:00  |

| cookie2   | 2015-04-10 10:50:05  | url66   | 6   | 2015-04-10 11:00:00  | NULL                 |

| cookie2   | 2015-04-10 11:00:00  | url77   | 7   | 1970-01-01 00:00:00  | NULL                 |

+-----------+----------------------+---------+-----+----------------------+----------------------+--+

FIRST_VALUE

取分组内排序后，截止到当前行，第一个值

SELECT cookieid,

createtime,

url,

ROW_NUMBER() OVER(PARTITION BY cookieid ORDER BY createtime) AS rn,

FIRST_VALUE(url) OVER(PARTITION BY cookieid ORDER BY createtime) AS first1

FROM test_data;

+-----------+----------------------+---------+-----+---------+--+

| cookieid  |      createtime      |   url   | rn  | first1  |

+-----------+----------------------+---------+-----+---------+--+

| cookie1   | 2015-04-10 10:00:00  | url1    | 1   | url1    |

| cookie1   | 2015-04-10 10:00:02  | url2    | 2   | url1    |

| cookie1   | 2015-04-10 10:03:04  | 1url3   | 3   | url1    |

| cookie1   | 2015-04-10 10:10:00  | url4    | 4   | url1    |

| cookie1   | 2015-04-10 10:50:01  | url5    | 5   | url1    |

| cookie1   | 2015-04-10 10:50:05  | url6    | 6   | url1    |

| cookie1   | 2015-04-10 11:00:00  | url7    | 7   | url1    |

| cookie2   | 2015-04-10 10:00:00  | url11   | 1   | url11   |

| cookie2   | 2015-04-10 10:00:02  | url22   | 2   | url11   |

| cookie2   | 2015-04-10 10:03:04  | 1url33  | 3   | url11   |

| cookie2   | 2015-04-10 10:10:00  | url44   | 4   | url11   |

| cookie2   | 2015-04-10 10:50:01  | url55   | 5   | url11   |

| cookie2   | 2015-04-10 10:50:05  | url66   | 6   | url11   |

| cookie2   | 2015-04-10 11:00:00  | url77   | 7   | url11   |

+-----------+----------------------+---------+-----+---------+--+

LAST_VALUE

取分组内排序后，截止到当前行，最后一个值

SELECT cookieid,

createtime,

url,

ROW_NUMBER() OVER(PARTITION BY cookieid ORDER BY createtime) AS rn,

LAST_VALUE(url) OVER(PARTITION BY cookieid ORDER BY createtime) AS last1

FROM test_data;

+-----------+----------------------+---------+-----+---------+--+

| cookieid  |      createtime      |   url   | rn  |  last1  |

+-----------+----------------------+---------+-----+---------+--+

| cookie1   | 2015-04-10 10:00:00  | url1    | 1   | url1    |

| cookie1   | 2015-04-10 10:00:02  | url2    | 2   | url2    |

| cookie1   | 2015-04-10 10:03:04  | 1url3   | 3   | 1url3   |

| cookie1   | 2015-04-10 10:10:00  | url4    | 4   | url4    |

| cookie1   | 2015-04-10 10:50:01  | url5    | 5   | url5    |

| cookie1   | 2015-04-10 10:50:05  | url6    | 6   | url6    |

| cookie1   | 2015-04-10 11:00:00  | url7    | 7   | url7    |

| cookie2   | 2015-04-10 10:00:00  | url11   | 1   | url11   |

| cookie2   | 2015-04-10 10:00:02  | url22   | 2   | url22   |

| cookie2   | 2015-04-10 10:03:04  | 1url33  | 3   | 1url33  |

| cookie2   | 2015-04-10 10:10:00  | url44   | 4   | url44   |

| cookie2   | 2015-04-10 10:50:01  | url55   | 5   | url55   |

| cookie2   | 2015-04-10 10:50:05  | url66   | 6   | url66   |

| cookie2   | 2015-04-10 11:00:00  | url77   | 7   | url77   |

+-----------+----------------------+---------+-----+---------+--+

SELECT cookieid,

createtime,

url,

ROW_NUMBER() OVER(PARTITION BY cookieid ORDER BY createtime) AS rn,

LAST_VALUE(url) OVER(PARTITION BY cookieid ORDER BY createtime DESC) AS last1

FROM test_data;

+-----------+----------------------+---------+-----+---------+--+

| cookieid  |      createtime      |   url   | rn  |  last1  |

+-----------+----------------------+---------+-----+---------+--+

| cookie1   | 2015-04-10 11:00:00  | url7    | 7   | url7    |

| cookie1   | 2015-04-10 10:50:05  | url6    | 6   | url6    |

| cookie1   | 2015-04-10 10:50:01  | url5    | 5   | url5    |

| cookie1   | 2015-04-10 10:10:00  | url4    | 4   | url4    |

| cookie1   | 2015-04-10 10:03:04  | 1url3   | 3   | 1url3   |

| cookie1   | 2015-04-10 10:00:02  | url2    | 2   | url2    |

| cookie1   | 2015-04-10 10:00:00  | url1    | 1   | url1    |

| cookie2   | 2015-04-10 11:00:00  | url77   | 7   | url77   |

| cookie2   | 2015-04-10 10:50:05  | url66   | 6   | url66   |

| cookie2   | 2015-04-10 10:50:01  | url55   | 5   | url55   |

| cookie2   | 2015-04-10 10:10:00  | url44   | 4   | url44   |

| cookie2   | 2015-04-10 10:03:04  | 1url33  | 3   | 1url33  |

| cookie2   | 2015-04-10 10:00:02  | url22   | 2   | url22   |

| cookie2   | 2015-04-10 10:00:00  | url11   | 1   | url11   |

+-----------+----------------------+---------+-----+---------+--+

如果不指定ORDER BY，则默认按照记录在文件中的偏移量进行排序，会出现错误的结果

SELECT cookieid,

createtime,

url,

FIRST_VALUE(url) OVER(PARTITION BY cookieid) AS first2

FROM test_data;

+-----------+----------------------+---------+---------+--+

| cookieid  |      createtime      |   url   | first2  |

+-----------+----------------------+---------+---------+--+

| cookie1   | 2015-04-10 10:00:02  | url2    | url2    |

| cookie1   | 2015-04-10 10:50:01  | url5    | url2    |

| cookie1   | 2015-04-10 10:10:00  | url4    | url2    |

| cookie1   | 2015-04-10 11:00:00  | url7    | url2    |

| cookie1   | 2015-04-10 10:50:05  | url6    | url2    |

| cookie1   | 2015-04-10 10:03:04  | 1url3   | url2    |

| cookie1   | 2015-04-10 10:00:00  | url1    | url2    |

| cookie2   | 2015-04-10 10:50:01  | url55   | url55   |

| cookie2   | 2015-04-10 10:10:00  | url44   | url55   |

| cookie2   | 2015-04-10 11:00:00  | url77   | url55   |

| cookie2   | 2015-04-10 10:50:05  | url66   | url55   |

| cookie2   | 2015-04-10 10:03:04  | 1url33  | url55   |

| cookie2   | 2015-04-10 10:00:00  | url11   | url55   |

| cookie2   | 2015-04-10 10:00:02  | url22   | url55   |

+-----------+----------------------+---------+---------+--+

SELECT cookieid,

createtime,

url,

LAST_VALUE(url) OVER(PARTITION BY cookieid) AS last2

FROM test_data;

+-----------+----------------------+---------+--------+--+

| cookieid  |      createtime      |   url   | last2  |

+-----------+----------------------+---------+--------+--+

| cookie1   | 2015-04-10 10:00:02  | url2    | url1   |

| cookie1   | 2015-04-10 10:50:01  | url5    | url1   |

| cookie1   | 2015-04-10 10:10:00  | url4    | url1   |

| cookie1   | 2015-04-10 11:00:00  | url7    | url1   |

| cookie1   | 2015-04-10 10:50:05  | url6    | url1   |

| cookie1   | 2015-04-10 10:03:04  | 1url3   | url1   |

| cookie1   | 2015-04-10 10:00:00  | url1    | url1   |

| cookie2   | 2015-04-10 10:50:01  | url55   | url22  |

| cookie2   | 2015-04-10 10:10:00  | url44   | url22  |

| cookie2   | 2015-04-10 11:00:00  | url77   | url22  |

| cookie2   | 2015-04-10 10:50:05  | url66   | url22  |

| cookie2   | 2015-04-10 10:03:04  | 1url33  | url22  |

| cookie2   | 2015-04-10 10:00:00  | url11   | url22  |

| cookie2   | 2015-04-10 10:00:02  | url22   | url22  |

+-----------+----------------------+---------+--------+--+

14 rows selected (78.058 seconds)

如果想要取分组内排序后最后一个值，则需要变通一下：

SELECT cookieid,

createtime,

url,

ROW_NUMBER() OVER(PARTITION BY cookieid ORDER BY createtime) AS rn,

LAST_VALUE(url) OVER(PARTITION BY cookieid ORDER BY createtime) AS last1,

FIRST_VALUE(url) OVER(PARTITION BY cookieid ORDER BY createtime DESC) AS last2

FROM test_data

ORDER BY cookieid,createtime;

+-----------+----------------------+---------+-----+---------+--------+--+

| cookieid  |      createtime      |   url   | rn  |  last1  | last2  |

+-----------+----------------------+---------+-----+---------+--------+--+

| cookie1   | 2015-04-10 10:00:00  | url1    | 1   | url1    | url7   |

| cookie1   | 2015-04-10 10:00:02  | url2    | 2   | url2    | url7   |

| cookie1   | 2015-04-10 10:03:04  | 1url3   | 3   | 1url3   | url7   |

| cookie1   | 2015-04-10 10:10:00  | url4    | 4   | url4    | url7   |

| cookie1   | 2015-04-10 10:50:01  | url5    | 5   | url5    | url7   |

| cookie1   | 2015-04-10 10:50:05  | url6    | 6   | url6    | url7   |

| cookie1   | 2015-04-10 11:00:00  | url7    | 7   | url7    | url7   |

| cookie2   | 2015-04-10 10:00:00  | url11   | 1   | url11   | url77  |

| cookie2   | 2015-04-10 10:00:02  | url22   | 2   | url22   | url77  |

| cookie2   | 2015-04-10 10:03:04  | 1url33  | 3   | 1url33  | url77  |

| cookie2   | 2015-04-10 10:10:00  | url44   | 4   | url44   | url77  |

| cookie2   | 2015-04-10 10:50:01  | url55   | 5   | url55   | url77  |

| cookie2   | 2015-04-10 10:50:05  | url66   | 6   | url66   | url77  |

| cookie2   | 2015-04-10 11:00:00  | url77   | 7   | url77   | url77  |

+-----------+----------------------+---------+-----+---------+--------+--+

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Hive函数：LAG,LEAD,FIRST_VALUE,LAST_VALUE

LEAD

FIRST_VALUE

LAST_VALUE

Hive函数：LAG,LEAD,FIRST_VALUE,LAST_VALUE的更多相关文章

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