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我有一個包含子查詢並僅輸出12行數據的Postgres查詢,完全如何我希望它看起來。這些行中的每一行代表數據庫中所有年份的數據的月平均值,每個月一行。 查詢:Postgres根據年數返回多個相同的結果
SELECT
to_char(to_timestamp(to_char(subquery2.month, '999'), 'MM'), 'Mon') AS Month,
subquery2.month AS Month_num,
round(AVG(subquery2.all_use_tot), 2) AS Average_Withdrawals,
round(AVG(subquery2.all_cu_tot), 2) AS Average_Consumptive_Use
FROM
(SELECT
subquery1.month,
subquery1.year,
sum(subquery1.liv_tot) AS all_use_tot,
sum(subquery1.CU_total) AS all_cu_tot
FROM
(SELECT
EXTRACT('Month' FROM withdrawals.begintime) AS month,
EXTRACT(YEAR FROM withdrawals.begintime)::int AS year,
tdx_ic_use_type.use_type_code AS Use_type,
sum(withdrawals.withdrawalvalue_mgd) AS liv_tot,
(tdx_ic_use_type.cufactor)*(sum(withdrawals.withdrawalvalue_mgd)) AS CU_total
FROM
medford.tdx_ic_use_type,
medford.withdrawalsites
JOIN medford.subshed2 ON ST_Contains(medford.subshed2.the_geom, medford.withdrawalsites.the_geom)
JOIN medford.withdrawals ON medford.withdrawals.ic_site_id = medford.withdrawalsites.ic_site_id
WHERE
subshed2.id = '${param.shed_id}' AND
withdrawalsites.ic_pr_use_type_id = tdx_ic_use_type.use_type_code AND
withdrawals.intervalcodes_id = 2
GROUP BY
year,
extract('Month' from withdrawals.begintime),
tdx_ic_use_type.cufactor,
Use_type
ORDER BY
year, extract('Month' from withdrawals.begintime) ASC
) AS subquery1
GROUP BY
subquery1.year,
subquery1.month
) AS subquery2
GROUP BY
subquery2.month
ORDER BY
subquery2.month
輸出的樣子:
"Jan" 1 1426.50 472.65
"Feb" 2 1449.00 482.10
"Mar" 3 1459.50 485.55
"Apr" 4 1470.00 489.00
"May" 5 1480.50 492.45
"Jun" 6 1491.00 495.90
"Jul" 7 1489.50 493.35
"Aug" 8 1512.00 502.80
"Sep" 9 1510.50 500.25
"Oct" 10 1533.00 509.70
"Nov" 11 1543.50 513.15
"Dec" 12 1542.00 510.60
月份列,我從數據庫中的日期時間列提取。我正在使用這個查詢的結果並將其存儲在一個數組中,但是我想重複一遍表中存在的每一年的這些確切結果。因此,如果數據庫中有2年的數據,則應該有24個輸出行,或者相同行中的12個重複兩次。如果數據庫中有3年的數據,應該有36個輸出行,或者12個相同的行重複3次。 如何在我的查詢中完成此操作?有沒有辦法根據列中的值循環查詢(即日期時間字段中存在的年數?)
感謝您的想法。我用實際查詢更新了我的問題。我以幾種不同的方式嘗試了你的建議,但是價值觀在不同年份有所變化,所以相同的12個月的數據集並沒有重複,而是在變化。有什麼方法可以根據列中的值循環查詢嗎? – Jan
我添加了一個例子來生成月份。你應該加入這個結果集。 –