转自：http://lxw1234.com/archives/2015/04/176.htm，Hive分析窗口函数(一) SUM,AVG,MIN,MAX

之前看到大数据田地有关于max()over(partition by)的用法，今天恰好工作中用到了它，但是使用中遇到了一个问题：在max(rsrp)over(partition by buildingid,height) as max_rsrp返回的结果不是分组中的最大值。最中找到了问题的原因：max_rsrp数据类型为string而不是double类型，导致的一个bug问题。

再处理的过程中也再次把大数据田地的中关于sum,avg,max,min的函数用法做了demo，因此有了该参考后的文章。

数据准备：

echo ''>data_file.txt

vim data_file.txt

cookie1,2015-04-10,1

cookie1,2015-04-11,5

cookie1,2015-04-12,7

cookie1,2015-04-13,3

cookie1,2015-04-14,2

cookie1,2015-04-15,4

cookie1,2015-04-16,4

cookie2,2015-04-10,6

cookie2,2015-04-11,5

cookie2,2015-04-12,7

cookie2,2015-04-13,4

cookie2,2015-04-14,3

cookie2,2015-04-15,5

cookie2,2015-04-16,5

hadoop fs -rm -r /user/jrf/test_data

hadoop fs -mkdir /user/jrf/test_data

hadoop fs -copyFromLocal data_file.txt /user/jrf/test_data/
drop table if exists test_data;

create EXTERNAL TABLE test_data (

cookieid string,

createtime string,   --day

pv INT

) ROW FORMAT DELIMITED

FIELDS TERMINATED BY ','

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

select * from test_data;

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

| test_data.cookieid  | test_data.createtime  | test_data.pv  |

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

| cookie1             | 2015-04-10            | 1             |

| cookie1             | 2015-04-11            | 5             |

| cookie1             | 2015-04-12            | 7             |

| cookie1             | 2015-04-13            | 3             |

| cookie1             | 2015-04-14            | 2             |

| cookie1             | 2015-04-15            | 4             |

| cookie1             | 2015-04-16            | 4             |

| cookie2             | 2015-04-10            | 6             |

| cookie2             | 2015-04-11            | 5             |

| cookie2             | 2015-04-12            | 7             |

| cookie2             | 2015-04-13            | 4             |

| cookie2             | 2015-04-14            | 3             |

| cookie2             | 2015-04-15            | 5             |

| cookie2             | 2015-04-16            | 5             |

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

SUM — 注意,结果和ORDER BY相关,默认为升序

SELECT cookieid,createtime,pv,

SUM(pv) OVER(PARTITION BY cookieid ORDER BY createtime) AS pv1, -- 默认为从起点到当前行

SUM(pv) OVER(PARTITION BY cookieid ORDER BY createtime ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS pv2, --从起点到当前行，结果同pv1

SUM(pv) OVER(PARTITION BY cookieid) AS pv3,--分组内所有行

SUM(pv) OVER(PARTITION BY cookieid ORDER BY createtime ROWS BETWEEN 3 PRECEDING AND CURRENT ROW) AS pv4,--当前行+往前3行

SUM(pv) OVER(PARTITION BY cookieid ORDER BY createtime ROWS BETWEEN 3 PRECEDING AND 1 FOLLOWING) AS pv5,--当前行+往前3行+往后1行

SUM(pv) OVER(PARTITION BY cookieid ORDER BY createtime ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING) AS pv6 --当前行+往后所有行

FROM test_data order by cookieid,createtime;

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

| cookieid  | createtime  | pv  | pv1  | pv2  | pv3  | pv4  | pv5  | pv6  |

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

| cookie1   | 2015-04-10  | 1   | 1    | 1    | 26   | 1    | 6    | 26   |

| cookie1   | 2015-04-11  | 5   | 6    | 6    | 26   | 6    | 13   | 25   |

| cookie1   | 2015-04-12  | 7   | 13   | 13   | 26   | 13   | 16   | 20   |

| cookie1   | 2015-04-13  | 3   | 16   | 16   | 26   | 16   | 18   | 13   |

| cookie1   | 2015-04-14  | 2   | 18   | 18   | 26   | 17   | 21   | 10   |

| cookie1   | 2015-04-15  | 4   | 22   | 22   | 26   | 16   | 20   | 8    |

| cookie1   | 2015-04-16  | 4   | 26   | 26   | 26   | 13   | 13   | 4    |

| cookie2   | 2015-04-10  | 6   | 6    | 6    | 35   | 6    | 11   | 35   |

| cookie2   | 2015-04-11  | 5   | 11   | 11   | 35   | 11   | 18   | 29   |

| cookie2   | 2015-04-12  | 7   | 18   | 18   | 35   | 18   | 22   | 24   |

| cookie2   | 2015-04-13  | 4   | 22   | 22   | 35   | 22   | 25   | 17   |

| cookie2   | 2015-04-14  | 3   | 25   | 25   | 35   | 19   | 24   | 13   |

| cookie2   | 2015-04-15  | 5   | 30   | 30   | 35   | 19   | 24   | 10   |

| cookie2   | 2015-04-16  | 5   | 35   | 35   | 35   | 17   | 17   | 5    |

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

pv1: 分组内从起点到当前行的pv累积，如，11号的pv1=10号的pv+11号的pv, 12号=10号+11号+12号

pv2: 同pv1

pv3: 分组内(cookie1)所有的pv累加

pv4: 分组内当前行+往前3行，如，11号=10号+11号， 12号=10号+11号+12号， 13号=10号+11号+12号+13号， 14号=11号+12号+13号+14号

pv5: 分组内当前行+往前3行+往后1行，如，14号=11号+12号+13号+14号+15号=5+7+3+2+4=21

pv6: 分组内当前行+往后所有行，如，13号=13号+14号+15号+16号=3+2+4+4=13，14号=14号+15号+16号=2+4+4=10

如果不指定ROWS BETWEEN,默认为从起点到当前行;
如果不指定ORDER BY，则将分组内所有值累加;
关键是理解ROWS BETWEEN含义,也叫做WINDOW子句：
PRECEDING：往前
FOLLOWING：往后
CURRENT ROW：当前行
UNBOUNDED：起点，UNBOUNDED PRECEDING 表示从前面的起点， UNBOUNDED FOLLOWING：表示到后面的终点

–其他AVG，MIN，MAX，和SUM用法一样。

--AVG

SELECT cookieid,createtime,pv,

AVG(pv) OVER(PARTITION BY cookieid ORDER BY createtime) AS pv1, -- 默认为从起点到当前行

AVG(pv) OVER(PARTITION BY cookieid ORDER BY createtime ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS pv2, --从起点到当前行，结果同pv1

AVG(pv) OVER(PARTITION BY cookieid) AS pv3,--分组内所有行

AVG(pv) OVER(PARTITION BY cookieid ORDER BY createtime ROWS BETWEEN 3 PRECEDING AND CURRENT ROW) AS pv4,--当前行+往前3行

AVG(pv) OVER(PARTITION BY cookieid ORDER BY createtime ROWS BETWEEN 3 PRECEDING AND 1 FOLLOWING) AS pv5,--当前行+往前3行+往后1行

AVG(pv) OVER(PARTITION BY cookieid ORDER BY createtime ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING) AS pv6 --当前行+往后所有行

FROM test_data  order by cookieid,createtime;

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

| cookieid  | createtime  | pv  |         pv1         |         pv2         |         pv3         |        pv4         |        pv5         |         pv6         |

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

| cookie1   | 2015-04-10  | 1   | 1.0                 | 1.0                 | 3.7142857142857144  | 1.0                | 3.0                | 3.7142857142857144  |

| cookie1   | 2015-04-11  | 5   | 3.0                 | 3.0                 | 3.7142857142857144  | 3.0                | 4.333333333333333  | 4.166666666666667   |

| cookie1   | 2015-04-12  | 7   | 4.333333333333333   | 4.333333333333333   | 3.7142857142857144  | 4.333333333333333  | 4.0                | 4.0                 |

| cookie1   | 2015-04-13  | 3   | 4.0                 | 4.0                 | 3.7142857142857144  | 4.0                | 3.6                | 3.25                |

| cookie1   | 2015-04-14  | 2   | 3.6                 | 3.6                 | 3.7142857142857144  | 4.25               | 4.2                | 3.3333333333333335  |

| cookie1   | 2015-04-15  | 4   | 3.6666666666666665  | 3.6666666666666665  | 3.7142857142857144  | 4.0                | 4.0                | 4.0                 |

| cookie1   | 2015-04-16  | 4   | 3.7142857142857144  | 3.7142857142857144  | 3.7142857142857144  | 3.25               | 3.25               | 4.0                 |

| cookie2   | 2015-04-10  | 6   | 6.0                 | 6.0                 | 5.0                 | 6.0                | 5.5                | 5.0                 |

| cookie2   | 2015-04-11  | 5   | 5.5                 | 5.5                 | 5.0                 | 5.5                | 6.0                | 4.833333333333333   |

| cookie2   | 2015-04-12  | 7   | 6.0                 | 6.0                 | 5.0                 | 6.0                | 5.5                | 4.8                 |

| cookie2   | 2015-04-13  | 4   | 5.5                 | 5.5                 | 5.0                 | 5.5                | 5.0                | 4.25                |

| cookie2   | 2015-04-14  | 3   | 5.0                 | 5.0                 | 5.0                 | 4.75               | 4.8                | 4.333333333333333   |

| cookie2   | 2015-04-15  | 5   | 5.0                 | 5.0                 | 5.0                 | 4.75               | 4.8                | 5.0                 |

| cookie2   | 2015-04-16  | 5   | 5.0                 | 5.0                 | 5.0                 | 4.25               | 4.25               | 5.0                 |

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

--MIN

SELECT cookieid,createtime,pv,

MIN(pv) OVER(PARTITION BY cookieid ORDER BY createtime) AS pv1, -- 默认为从起点到当前行

MIN(pv) OVER(PARTITION BY cookieid ORDER BY createtime ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS pv2,--从起点到当前行，结果同pv1

MIN(pv) OVER(PARTITION BY cookieid) AS pv3,--分组内所有行

MIN(pv) OVER(PARTITION BY cookieid ORDER BY createtime ROWS BETWEEN 3 PRECEDING AND CURRENT ROW) AS pv4,--当前行+往前3行

MIN(pv) OVER(PARTITION BY cookieid ORDER BY createtime ROWS BETWEEN 3 PRECEDING AND 1 FOLLOWING) AS pv5,--当前行+往前3行+往后1行

MIN(pv) OVER(PARTITION BY cookieid ORDER BY createtime ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING) AS pv6 --当前行+往后所有行

FROM test_data order by cookieid,createtime;

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

| cookieid  | createtime  | pv  | pv1  | pv2  | pv3  | pv4  | pv5  | pv6  |

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

| cookie1   | 2015-04-10  | 1   | 1    | 1    | 1    | 1    | 1    | 1    |

| cookie1   | 2015-04-11  | 5   | 1    | 1    | 1    | 1    | 1    | 2    |

| cookie1   | 2015-04-12  | 7   | 1    | 1    | 1    | 1    | 1    | 2    |

| cookie1   | 2015-04-13  | 3   | 1    | 1    | 1    | 1    | 1    | 2    |

| cookie1   | 2015-04-14  | 2   | 1    | 1    | 1    | 2    | 2    | 2    |

| cookie1   | 2015-04-15  | 4   | 1    | 1    | 1    | 2    | 2    | 4    |

| cookie1   | 2015-04-16  | 4   | 1    | 1    | 1    | 2    | 2    | 4    |

| cookie2   | 2015-04-10  | 6   | 6    | 6    | 3    | 6    | 5    | 3    |

| cookie2   | 2015-04-11  | 5   | 5    | 5    | 3    | 5    | 5    | 3    |

| cookie2   | 2015-04-12  | 7   | 5    | 5    | 3    | 5    | 4    | 3    |

| cookie2   | 2015-04-13  | 4   | 4    | 4    | 3    | 4    | 3    | 3    |

| cookie2   | 2015-04-14  | 3   | 3    | 3    | 3    | 3    | 3    | 3    |

| cookie2   | 2015-04-15  | 5   | 3    | 3    | 3    | 3    | 3    | 5    |

| cookie2   | 2015-04-16  | 5   | 3    | 3    | 3    | 3    | 3    | 5    |

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

--MAX

SELECT cookieid,createtime,pv,

MAX(pv) OVER(PARTITION BY cookieid ORDER BY createtime) AS pv1, -- 默认为从起点到当前行

MAX(pv) OVER(PARTITION BY cookieid ORDER BY createtime ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS pv2, --从起点到当前行，结果同pv1

MAX(pv) OVER(PARTITION BY cookieid) AS pv3, --分组内所有行

MAX(pv) OVER(PARTITION BY cookieid ORDER BY createtime ROWS BETWEEN 3 PRECEDING AND CURRENT ROW) AS pv4, --当前行+往前3行

MAX(pv) OVER(PARTITION BY cookieid ORDER BY createtime ROWS BETWEEN 3 PRECEDING AND 1 FOLLOWING) AS pv5, --当前行+往前3行+往后1行

MAX(pv) OVER(PARTITION BY cookieid ORDER BY createtime ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING) AS pv6 --当前行+往后所有行

FROM test_data order by cookieid,createtime;

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

| cookieid  | createtime  | pv  | pv1  | pv2  | pv3  | pv4  | pv5  | pv6  |

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

| cookie1   | 2015-04-10  | 1   | 1    | 1    | 7    | 1    | 5    | 7    |

| cookie1   | 2015-04-11  | 5   | 5    | 5    | 7    | 5    | 7    | 7    |

| cookie1   | 2015-04-12  | 7   | 7    | 7    | 7    | 7    | 7    | 7    |

| cookie1   | 2015-04-13  | 3   | 7    | 7    | 7    | 7    | 7    | 4    |

| cookie1   | 2015-04-14  | 2   | 7    | 7    | 7    | 7    | 7    | 4    |

| cookie1   | 2015-04-15  | 4   | 7    | 7    | 7    | 7    | 7    | 4    |

| cookie1   | 2015-04-16  | 4   | 7    | 7    | 7    | 4    | 4    | 4    |

| cookie2   | 2015-04-10  | 6   | 6    | 6    | 7    | 6    | 6    | 7    |

| cookie2   | 2015-04-11  | 5   | 6    | 6    | 7    | 6    | 7    | 7    |

| cookie2   | 2015-04-12  | 7   | 7    | 7    | 7    | 7    | 7    | 7    |

| cookie2   | 2015-04-13  | 4   | 7    | 7    | 7    | 7    | 7    | 5    |

| cookie2   | 2015-04-14  | 3   | 7    | 7    | 7    | 7    | 7    | 5    |

| cookie2   | 2015-04-15  | 5   | 7    | 7    | 7    | 7    | 7    | 5    |

| cookie2   | 2015-04-16  | 5   | 7    | 7    | 7    | 5    | 5    | 5    |

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

SELECT cookieid,

createtime,

pv,

min(pv) OVER(PARTITION BY cookieid) AS min_pv,

max(pv) OVER(PARTITION BY cookieid) AS max_pv

FROM test_data;

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

| cookieid  | createtime  | pv  | min_pv  | max_pv  |

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

| cookie1   | 2015-04-10  | 1   | 1       | 7       |

| cookie1   | 2015-04-16  | 4   | 1       | 7       |

| cookie1   | 2015-04-15  | 4   | 1       | 7       |

| cookie1   | 2015-04-14  | 2   | 1       | 7       |

| cookie1   | 2015-04-13  | 3   | 1       | 7       |

| cookie1   | 2015-04-12  | 7   | 1       | 7       |

| cookie1   | 2015-04-11  | 5   | 1       | 7       |

| cookie2   | 2015-04-16  | 5   | 3       | 7       |

| cookie2   | 2015-04-15  | 5   | 3       | 7       |

| cookie2   | 2015-04-14  | 3   | 3       | 7       |

| cookie2   | 2015-04-13  | 4   | 3       | 7       |

| cookie2   | 2015-04-12  | 7   | 3       | 7       |

| cookie2   | 2015-04-11  | 5   | 3       | 7       |

| cookie2   | 2015-04-10  | 6   | 3       | 7       |

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

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