我正在使用PostgreSQL数据库进行时间聚合的Java实现。
我的表格看起来像这样
Value | Start | Stop
(int) | (Date) | (Date)
-------------------------------
1 | 2004-01-01 | 2010-01-01
4 | 2000-01-01 | 2008-01-01
所以想象一下这个时期:
------------------------------
----------------------------------------
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
[ 4 ][ 5=4+1 ][ 1 ]
我的算法现在计算数据的时间聚合,例如SUM():
Value | Start | Stop
-------------------------------
4 | 2000-01-01 | 2004-01-01
5 | 2004-01-01 | 2008-01-01
1 | 2008-01-01 | 2010-01-01
为了测试获得的结果,我现在想使用PostgreSQL直接查询数据。我知道这个问题还没有简单的方法。但是,肯定有办法获得相同的结果。应支持聚合计数,最大值,最小值,总和和平均值。我不介意一个坏的或缓慢的解决方案,只需要工作。
到目前为止我发现的查询应该具有类似的作用如下:
select count(*), ts, te
from ( checkout a normalize checkout b using() ) checkoutNorm
group by ts, te;
我的收养看起来像这样:
select count(*), start, stop
from ( myTable a normalize myTable b using() ) myTableNorm
group by start, stop;
但是,报告了错误ERROR: syntax error at or near "normalize" -- LINE 2: from ( ndbs_10 a normalize ndbs_10 b using() ) ndbsNorm
。
有没有人能解决这个问题?它不必基于上述查询,只要它有效。非常感谢。
答案 0 :(得分:2)
你的问题很难理解。但我想我想出来了。
您想要一个超过value
的运行总和。值仅适用于某个时间段的start
和stop
之间。因此,必须在该期间开始时添加它们并在结束时扣除
此外,您希望结果期间的开始和结束总和有效。
应该这样做:
-- DROP SCHEMA x CASCADE;
CREATE SCHEMA x;
CREATE TABLE x.tbl(val int, start date, stop date);
INSERT INTO x.tbl VALUES
(4 ,'2000-01-01' ,'2008-01-01')
,(7 ,'2001-01-01' ,'2009-01-01')
,(1 ,'2004-01-01' ,'2010-01-01')
,(2 ,'2005-01-01' ,'2006-01-01');
WITH a AS (
SELECT start as ts, val FROM x.tbl
UNION ALL
SELECT stop, val * (-1) FROM x.tbl
ORDER BY 1, 2)
SELECT sum(val) OVER w AS val_sum
,ts AS start
,lead(ts) OVER w AS stop
FROM a
WINDOW w AS (ORDER BY ts)
ORDER BY ts;
val_sum | start | stop
--------+------------+------------
4 | 2000-01-01 | 2001-01-01
11 | 2001-01-01 | 2004-01-01
12 | 2004-01-01 | 2005-01-01
14 | 2005-01-01 | 2006-01-01
12 | 2006-01-01 | 2008-01-01
8 | 2008-01-01 | 2009-01-01
1 | 2009-01-01 | 2010-01-01
0 | 2010-01-01 |
对于所有请求的聚合函数:
SELECT period
,val_sum
,val_count
,val_sum::float /val_count AS val_avg
,(SELECT min(val) FROM x.tbl WHERE start < y.stop AND stop > y.start) AS val_min
,(SELECT max(val) FROM x.tbl WHERE start < y.stop AND stop > y.start) AS val_max
,start
,stop
FROM (
WITH a AS (
SELECT start as ts, val, 1 AS c FROM x.tbl
UNION ALL
SELECT stop, val, -1 FROM x.tbl
ORDER BY 1, 2)
SELECT count(*) OVER w AS period
,sum(val*c) OVER w AS val_sum
,sum(c) OVER w AS val_count
,ts AS start
,lead(ts) OVER w AS stop
FROM a
WINDOW w AS (ORDER BY ts)
ORDER BY ts
) y
WHERE stop IS NOT NULL;
period | val_sum | val_count | val_avg | val_min | val_max | start | stop
--------+---------+-----------+---------+---------+---------+------------+------------
1 | 4 | 1 | 4 | 4 | 4 | 2000-01-01 | 2001-01-01
2 | 11 | 2 | 5.5 | 4 | 7 | 2001-01-01 | 2004-01-01
3 | 12 | 3 | 4 | 1 | 7 | 2004-01-01 | 2005-01-01
4 | 14 | 4 | 3.5 | 1 | 7 | 2005-01-01 | 2006-01-01
5 | 12 | 3 | 4 | 1 | 7 | 2006-01-01 | 2008-01-01
6 | 8 | 2 | 4 | 1 | 7 | 2008-01-01 | 2009-01-01
7 | 1 | 1 | 1 | 1 | 1 | 2009-01-01 | 2010-01-01
min()
和max
可能会进行优化,但这应该足够好了。
正如您所见,CTE(WITH
子句)和子查询是可交换的。