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Hive分析窗口函数(一) SUM,AVG,MIN,MAX

Hive lxw1234@qq.com 10122℃ 5评论

Hive中提供了越来越多的分析函数,用于完成负责的统计分析。抽时间将所有的分析窗口函数理一遍,将陆续发布。

今天先看几个基础的,SUM、AVG、MIN、MAX。

用于实现分组内所有和连续累积的统计。

Hive版本为 apache-hive-0.13.1

数据准备

CREATE EXTERNAL TABLE lxw1234 (
cookieid string,
createtime string,   --day 
pv INT
) ROW FORMAT DELIMITED 
FIELDS TERMINATED BY ',' 
stored as textfile location '/tmp/lxw11/';

DESC lxw1234;
cookieid                STRING 
createtime              STRING 
pv INT 

hive> select * from lxw1234;
OK
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

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 lxw1234;

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

 

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 lxw1234; 
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
--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 lxw1234;

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
----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 lxw1234;

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

其他函数的介绍将陆续整理发布。。

点此查看所有Hive窗口分析函数的文章

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(5)个小伙伴在吐槽
  1. Mark。学完基础的再来理解
    vito32016-03-02 14:34 回复
  2. 写的真好!佩服
    coolsctv2016-04-12 11:23 回复
  3. 咋么配置支持 OVER(PARTITION BY cookieid ORDER BY createtime) AS pv1 ..
    lzh11042016-10-14 17:44 回复
  4. ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW 写与不写计算方式一样吗
    xwemin2017-02-14 18:00 回复
  5. 以前一直没太明白这个,这次看明白一点了
    454552017-03-24 14:53 (5天前)回复