This answer to shows how to produce High/Low/Open/Close values from a ticker:
Retrieve aggregates for arbitrary time intervals
我正在try 基于此实现一个解决方案(第9.2页),但很难获得first_value()
的正确值.
到目前为止,我try 了两个问题:
SELECT
cstamp,
price,
date_trunc('hour',cstamp) AS h,
floor(EXTRACT(minute FROM cstamp) / 5) AS m5,
min(price) OVER w,
max(price) OVER w,
first_value(price) OVER w,
last_value(price) OVER w
FROM trades
Where date_trunc('hour',cstamp) = timestamp '2013-03-29 09:00:00'
WINDOW w AS (
PARTITION BY date_trunc('hour',cstamp), floor(extract(minute FROM cstamp) / 5)
ORDER BY date_trunc('hour',cstamp) ASC, floor(extract(minute FROM cstamp) / 5) ASC
)
ORDER BY cstamp;
下面是一个结果:
cstamp price h m5 min max first last
"2013-03-29 09:19:14";77.00000;"2013-03-29 09:00:00";3;77.00000;77.00000;77.00000;77.00000
"2013-03-29 09:26:18";77.00000;"2013-03-29 09:00:00";5;77.00000;77.80000;77.80000;77.00000
"2013-03-29 09:29:41";77.80000;"2013-03-29 09:00:00";5;77.00000;77.80000;77.80000;77.00000
"2013-03-29 09:29:51";77.00000;"2013-03-29 09:00:00";5;77.00000;77.80000;77.80000;77.00000
"2013-03-29 09:30:04";77.00000;"2013-03-29 09:00:00";6;73.99004;77.80000;73.99004;73.99004
正如你所看到的,77.8是not,我认为这是first_value()
的正确值,应该是77.0.
我想这可能是因为WINDOW
中不明确的ORDER BY
,所以我把它改为
ORDER BY cstamp ASC
但这似乎也打乱了PARTITION
人:
cstamp price h m5 min max first last
"2013-03-29 09:19:14";77.00000;"2013-03-29 09:00:00";3;77.00000;77.00000;77.00000;77.00000
"2013-03-29 09:26:18";77.00000;"2013-03-29 09:00:00";5;77.00000;77.00000;77.00000;77.00000
"2013-03-29 09:29:41";77.80000;"2013-03-29 09:00:00";5;77.00000;77.80000;77.00000;77.80000
"2013-03-29 09:29:51";77.00000;"2013-03-29 09:00:00";5;77.00000;77.80000;77.00000;77.00000
"2013-03-29 09:30:04";77.00000;"2013-03-29 09:00:00";6;77.00000;77.00000;77.00000;77.00000
因为max和last的值现在是vary within the partition.
我做错了什么?有人能帮我更好地理解WINDOW
中PARTITION
和ORDER
之间的关系吗?
虽然我有一个答案,但这里有一个精简的pg_转储,允许任何人重新创建表格.唯一不同的是表名.
CREATE TABLE wtest (
cstamp timestamp without time zone,
price numeric(10,5)
);
COPY wtest (cstamp, price) FROM stdin;
2013-03-29 09:04:54 77.80000
2013-03-29 09:04:50 76.98000
2013-03-29 09:29:51 77.00000
2013-03-29 09:29:41 77.80000
2013-03-29 09:26:18 77.00000
2013-03-29 09:19:14 77.00000
2013-03-29 09:19:10 77.00000
2013-03-29 09:33:50 76.00000
2013-03-29 09:33:46 76.10000
2013-03-29 09:33:15 77.79000
2013-03-29 09:30:08 77.80000
2013-03-29 09:30:04 77.00000
\.