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按字段分組的結果

2013-11-20 72 views
0

我有一個包含2個重要列的表，其中一個具有日期和時間，另一個具有秒數（所以是整數）。按字段分組的結果

我希望得到一週中的每一天以及一天中的每個小時有多少秒。

我設法讓這個信息在每週的每一天都有24行，一列中的dow值，另一列中的小時數以及最後一列中的秒數。 我最想擁有的僅僅是7行，一列是dow，另一列是數組或者24秒的數組。

關於如何擺脫它的任何想法？

我結束了該查詢：

SELECT dow, hour, sum(duration/60) as minutes 
    FROM(SELECT duration, 
       extract('dow' from datetime) as dow, 
       extract('hour' from datetime) as hour 
      FROM "statistics" 
      WHERE datetime between '2013-10-01' and '2013-11-01' 
      and duration >= 300 
    ) as foo 
    GROUP BY dow, hour 
    ORDER BY dow, hour

這讓我像一個結果：在array_agg()

dow | hour | minuts 
-----+------+-------- 
    0 | 0 | 742 
    0 | 1 | 572 
    0 | 2 | 634 
    0 | 3 | 208 
    0 | 4 | 333 
    0 | 5 | 302 
    0 | 6 | 183 
    0 | 7 | 108 
    0 | 8 | 135 
    0 | 9 | 201 
    0 | 10 | 369 
    0 | 11 | 429 
    0 | 12 | 340 
    0 | 13 | 439 
    0 | 14 | 572 
    0 | 15 | 420 
    0 | 16 | 636 
    0 | 17 | 958 
    0 | 18 | 878 
    0 | 19 | 1176 
    0 | 20 | 995 
    0 | 21 | 740 
    0 | 22 | 783 
    0 | 23 | 857 
    1 | 0 | 474 
    1 | 1 | 576 
    1 | 2 | 431 
    1 | 3 | 157 
    1 | 4 | 140 
    1 | 5 |  55 
    1 | 6 |  17 
    1 | 8 | 118 
    1 | 9 | 356 
    1 | 10 | 994 
    1 | 11 | 930 
    1 | 12 | 1177 
    1 | 13 | 1228 
    1 | 14 | 896 
    1 | 15 | 1072 
    1 | 16 | 1254 
    1 | 17 | 1764 
    1 | 18 | 1303 
    1 | 19 | 1176 
    1 | 20 | 1314 
    1 | 21 | 1003 
    1 | 22 | 1161 
    1 | 23 | 811 
...

來源

2013-11-20 Jester

回答

1

嘗試折騰，例如：

WITH 
monthly_stats as (
SELECT duration, 
     extract('dow' from datetime) as dow, 
     extract('hour' from datetime) as hour 
FROM "statistics" 
WHERE datetime >= '2013-10-01' 
    AND datetime < '2013-10-01' + interval '1 month' 
    AND duration >= 300 
), 
daily_stats as (
SELECT dow, hour, sum(duration/60) as minutes 
FROM monthly_stats 
GROUP BY dow, hour 
) 
SELECT dow, array_agg(minutes ORDER BY hour) 
FROM daily_stats 
GROUP BY dow 
ORDER BY dow

來源

2013-11-20 14:12:42

0

對於那些不使用PostgreSQL，我可以想到2個解決方案。

假設（在這個例子中）含有陶氏，小時列，分鐘 然後您可以將結果表..

1）做一個相當混亂的多連接（Oracle和SQLServer的瞬間顯示的版本） 2）或寫一個可以返回結果的CONCAT_MYSTATS函數。對於SQLITE，您可以使用現有的GROUP_CONCAT聚合函數 。

懶惰的版本代碼 ORACLE：

SELECT  d.dow, 
    MAX(NVL(d0.hour,0)) || '=' || SUM(NVL(d0.mins,0)) 
    || ';' || MAX(NVL(d1.hour,1)) || '=' || SUM(NVL(d1.mins,0)) 
    || ';' || MAX(NVL(d2.hour,2)) || '=' || SUM(NVL(d2.mins,0)) 
    || ';' || MAX(NVL(d3.hour,3)) || '=' || SUM(NVL(d3.mins,0)) 
    || ';' || MAX(NVL(d4.hour,4)) || '=' || SUM(NVL(d4.mins,0)) 
    || ';' || MAX(NVL(d5.hour,5)) || '=' || SUM(NVL(d5.mins,0)) 
    || ';' || MAX(NVL(d6.hour,6)) || '=' || SUM(NVL(d6.mins,0)) 
    || ';' || MAX(NVL(d7.hour,7)) || '=' || SUM(NVL(d7.mins,0)) 
    || ';' || MAX(NVL(d8.hour,8)) || '=' || SUM(NVL(d8.mins,0)) 
    || ';' || MAX(NVL(d9.hour,9)) || '=' || SUM(NVL(d9.mins,0)) 
    || ';' || MAX(NVL(d10.hour,10)) || '=' || SUM(NVL(d10.mins,0)) 
    || ';' || MAX(NVL(d11.hour,11)) || '=' || SUM(NVL(d11.mins,0)) 
    || ';' || MAX(NVL(d12.hour,12)) || '=' || SUM(NVL(d12.mins,0)) 
    || ';' || MAX(NVL(d13.hour,13)) || '=' || SUM(NVL(d13.mins,0)) 
    || ';' || MAX(NVL(d14.hour,14)) || '=' || SUM(NVL(d14.mins,0)) 
    || ';' || MAX(NVL(d15.hour,15)) || '=' || SUM(NVL(d15.mins,0)) 
    || ';' || MAX(NVL(d16.hour,16)) || '=' || SUM(NVL(d16.mins,0)) 
    || ';' || MAX(NVL(d17.hour,17)) || '=' || SUM(NVL(d17.mins,0)) 
    || ';' || MAX(NVL(d18.hour,18)) || '=' || SUM(NVL(d18.mins,0)) 
    || ';' || MAX(NVL(d19.hour,19)) || '=' || SUM(NVL(d19.mins,0)) 
    || ';' || MAX(NVL(d20.hour,20)) || '=' || SUM(NVL(d20.mins,0)) 
    || ';' || MAX(NVL(d21.hour,21)) || '=' || SUM(NVL(d21.mins,0)) 
    || ';' || MAX(NVL(d22.hour,22)) || '=' || SUM(NVL(d22.mins,0)) 
    || ';' || MAX(NVL(d23.hour,23)) || '=' || SUM(NVL(d23.mins,0)) 
FROM  (SELECT distinct dow FROM mystats) d 
    LEFT OUTER JOIN mystats d0 ON d0.dow = d.dow AND d0.hour=0 
    LEFT OUTER JOIN mystats d1 ON d1.dow = d.dow AND d1.hour=1 
    LEFT OUTER JOIN mystats d2 ON d2.dow = d.dow AND d2.hour=2 
    LEFT OUTER JOIN mystats d3 ON d3.dow = d.dow AND d3.hour=3 
    LEFT OUTER JOIN mystats d4 ON d4.dow = d.dow AND d4.hour=4 
    LEFT OUTER JOIN mystats d5 ON d5.dow = d.dow AND d5.hour=5 
    LEFT OUTER JOIN mystats d6 ON d6.dow = d.dow AND d6.hour=6 
    LEFT OUTER JOIN mystats d7 ON d7.dow = d.dow AND d7.hour=7 
    LEFT OUTER JOIN mystats d8 ON d8.dow = d.dow AND d8.hour=8 
    LEFT OUTER JOIN mystats d9 ON d9.dow = d.dow AND d9.hour=9 
    LEFT OUTER JOIN mystats d10 ON d10.dow = d.dow AND d10.hour=10 
    LEFT OUTER JOIN mystats d11 ON d11.dow = d.dow AND d11.hour=11 
    LEFT OUTER JOIN mystats d12 ON d12.dow = d.dow AND d12.hour=12 
    LEFT OUTER JOIN mystats d13 ON d13.dow = d.dow AND d13.hour=13 
    LEFT OUTER JOIN mystats d14 ON d14.dow = d.dow AND d14.hour=14 
    LEFT OUTER JOIN mystats d15 ON d15.dow = d.dow AND d15.hour=15 
    LEFT OUTER JOIN mystats d16 ON d16.dow = d.dow AND d16.hour=16 
    LEFT OUTER JOIN mystats d17 ON d17.dow = d.dow AND d17.hour=17 
    LEFT OUTER JOIN mystats d18 ON d18.dow = d.dow AND d18.hour=18 
    LEFT OUTER JOIN mystats d19 ON d19.dow = d.dow AND d19.hour=19 
    LEFT OUTER JOIN mystats d20 ON d20.dow = d.dow AND d20.hour=20 
    LEFT OUTER JOIN mystats d21 ON d21.dow = d.dow AND d21.hour=21 
    LEFT OUTER JOIN mystats d22 ON d22.dow = d.dow AND d22.hour=22 
    LEFT OUTER JOIN mystats d23 ON d23.dow = d.dow AND d23.hour=23 
GROUP BY d.dow

SQLSERVER：

SELECT  d.dow, 
    CAST(MAX(ISNULL(d0.hour,0)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d0.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d1.hour,1)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d1.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d2.hour,2)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d2.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d3.hour,3)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d3.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d4.hour,4)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d4.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d5.hour,5)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d5.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d6.hour,6)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d6.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d7.hour,7)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d7.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d8.hour,8)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d8.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d9.hour,9)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d9.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d10.hour,10)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d10.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d11.hour,11)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d11.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d12.hour,12)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d12.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d13.hour,13)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d13.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d14.hour,14)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d14.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d15.hour,15)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d15.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d16.hour,16)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d16.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d17.hour,17)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d17.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d18.hour,18)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d18.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d19.hour,19)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d19.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d20.hour,20)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d20.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d21.hour,21)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d21.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d22.hour,22)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d22.mins,0)) AS VARCHAR) 
    + ';' + CAST(MAX(ISNULL(d23.hour,23)) AS VARCHAR) + '=' + CAST(SUM(ISNULL(d23.mins,0)) AS VARCHAR) 
FROM  (SELECT distinct dow FROM mystats) d 
    LEFT OUTER JOIN mystats d0 ON d0.dow = d.dow AND d0.hour=0 
    LEFT OUTER JOIN mystats d1 ON d1.dow = d.dow AND d1.hour=1 
    LEFT OUTER JOIN mystats d2 ON d2.dow = d.dow AND d2.hour=2 
    LEFT OUTER JOIN mystats d3 ON d3.dow = d.dow AND d3.hour=3 
    LEFT OUTER JOIN mystats d4 ON d4.dow = d.dow AND d4.hour=4 
    LEFT OUTER JOIN mystats d5 ON d5.dow = d.dow AND d5.hour=5 
    LEFT OUTER JOIN mystats d6 ON d6.dow = d.dow AND d6.hour=6 
    LEFT OUTER JOIN mystats d7 ON d7.dow = d.dow AND d7.hour=7 
    LEFT OUTER JOIN mystats d8 ON d8.dow = d.dow AND d8.hour=8 
    LEFT OUTER JOIN mystats d9 ON d9.dow = d.dow AND d9.hour=9 
    LEFT OUTER JOIN mystats d10 ON d10.dow = d.dow AND d10.hour=10 
    LEFT OUTER JOIN mystats d11 ON d11.dow = d.dow AND d11.hour=11 
    LEFT OUTER JOIN mystats d12 ON d12.dow = d.dow AND d12.hour=12 
    LEFT OUTER JOIN mystats d13 ON d13.dow = d.dow AND d13.hour=13 
    LEFT OUTER JOIN mystats d14 ON d14.dow = d.dow AND d14.hour=14 
    LEFT OUTER JOIN mystats d15 ON d15.dow = d.dow AND d15.hour=15 
    LEFT OUTER JOIN mystats d16 ON d16.dow = d.dow AND d16.hour=16 
    LEFT OUTER JOIN mystats d17 ON d17.dow = d.dow AND d17.hour=17 
    LEFT OUTER JOIN mystats d18 ON d18.dow = d.dow AND d18.hour=18 
    LEFT OUTER JOIN mystats d19 ON d19.dow = d.dow AND d19.hour=19 
    LEFT OUTER JOIN mystats d20 ON d20.dow = d.dow AND d20.hour=20 
    LEFT OUTER JOIN mystats d21 ON d21.dow = d.dow AND d21.hour=21 
    LEFT OUTER JOIN mystats d22 ON d22.dow = d.dow AND d22.hour=22 
    LEFT OUTER JOIN mystats d23 ON d23.dow = d.dow AND d23.hour=23 
GROUP BY d.dow

CONCAT功能版本： ORACLE：

CREATE FUNCTION CONCAT_MYSTATS (pDOW IN INTEGER) 
RETURN VARCHAR2 
AS 
ALIST  VARCHAR2(200) DEFAULT ''; 
BEGIN 
FOR REC IN ( SELECT  h.HR   AS HOUR, 
       SUM(NVL(d.mins,0)) AS MINS 
     FROM  (SELECT 0 AS Hr FROM dual 
       UNION ALL SELECT 1 AS HR FROM dual 
       UNION ALL SELECT 2 AS HR FROM dual 
       UNION ALL SELECT 3 AS HR FROM dual 
       UNION ALL SELECT 4 AS HR FROM dual 
       UNION ALL SELECT 5 AS HR FROM dual 
       UNION ALL SELECT 6 AS HR FROM dual 
       UNION ALL SELECT 7 AS HR FROM dual 
       UNION ALL SELECT 8 AS HR FROM dual 
       UNION ALL SELECT 9 AS HR FROM dual 
       UNION ALL SELECT 10 AS HR FROM dual 
       UNION ALL SELECT 11 AS HR FROM dual 
       UNION ALL SELECT 12 AS HR FROM dual 
       UNION ALL SELECT 13 AS HR FROM dual 
       UNION ALL SELECT 14 AS HR FROM dual 
       UNION ALL SELECT 15 AS HR FROM dual 
       UNION ALL SELECT 16 AS HR FROM dual 
       UNION ALL SELECT 17 AS HR FROM dual 
       UNION ALL SELECT 18 AS HR FROM dual 
       UNION ALL SELECT 19 AS HR FROM dual 
       UNION ALL SELECT 20 AS HR FROM dual 
       UNION ALL SELECT 21 AS HR FROM dual 
       UNION ALL SELECT 22 AS HR FROM dual 
       UNION ALL SELECT 23 AS HR FROM dual) h 
       LEFT OUTER JOIN mystats d 
        ON d.hour = h.HR 
     WHERE  d.dow = pDOW 
     GROUP BY h.HR 
     ORDER BY 1 
     ) 
LOOP 
    -- 
     IF NVL(ALIST,' ') !=' ' THEN 
     ALIST := ALIST || ';'; 
    END IF; 
    ALIST := ALIST || REC.HOUR || '=' || REC.MINS; 
END LOOP; 
RETURN ALIST; 
END; 
/

然後

SELECT  d.dow, 
     CONCAT_MYSTATS(d.dow) 
FROM  (SELECT distinct dow FROM mystats) d

SQLSERVER版本

CREATE FUNCTION CONCAT_MYSTATS (@pDOW INTEGER) 
RETURNS VARCHAR(200) 
AS 
BEGIN 
DECLARE @ALIST  VARCHAR(200); 
SET @ALIST=''; 
DECLARE @QHR  INTEGER; 
DECLARE @QMINS  INTEGER; 
-- 
DECLARE cREC CURSOR FOR 
    SELECT  h.HR   AS HOUR, 
      SUM(ISNULL(d.mins,0)) AS MINS 
    FROM  (SELECT 0 AS Hr 
      UNION ALL SELECT 1 AS HR 
      UNION ALL SELECT 2 AS HR 
      UNION ALL SELECT 3 AS HR 
      UNION ALL SELECT 4 AS HR 
      UNION ALL SELECT 5 AS HR 
      UNION ALL SELECT 6 AS HR 
      UNION ALL SELECT 7 AS HR 
      UNION ALL SELECT 8 AS HR 
      UNION ALL SELECT 9 AS HR 
      UNION ALL SELECT 10 AS HR 
      UNION ALL SELECT 11 AS HR 
      UNION ALL SELECT 12 AS HR 
      UNION ALL SELECT 13 AS HR 
      UNION ALL SELECT 14 AS HR 
      UNION ALL SELECT 15 AS HR 
      UNION ALL SELECT 16 AS HR 
      UNION ALL SELECT 17 AS HR 
      UNION ALL SELECT 18 AS HR 
      UNION ALL SELECT 19 AS HR 
      UNION ALL SELECT 20 AS HR 
      UNION ALL SELECT 21 AS HR 
      UNION ALL SELECT 22 AS HR 
      UNION ALL SELECT 23 AS HR) h 
      LEFT OUTER JOIN mystats d 
      ON d.hour = h.HR 
    WHERE  d.dow = @pDOW 
    GROUP BY h.HR 
    ORDER BY 1; 
-- 
OPEN cREC 
FETCH cREC INTO @QHR,@QMINS;  
WHILE @@Fetch_Status = 0 
BEGIN 
    -- 
    IF @ALIST!='' SET @[email protected] + ';'; 
    SET @[email protected] + CAST(@QHR AS VARCHAR) + '=' + CAST(@QMINS AS VARCHAR); 
    -- 
FETCH cREC INTO @QHR,@QMINS;  
END 
CLOSE cREC 
DEALLOCATE cREC 
RETURN @ALIST; 
END

然後

SELECT  d.dow, 
    dbo.CONCAT_MYSTATS(d.dow) 
FROM  (SELECT distinct dow FROM mystats) d

最後，SQLite的所有你需要做的是

SELECT  d.dow, 
    GROUP_CONCAT(d.hour || '=' || d.mins,';') 
FROM  mystats d 
GROUP BY d.dow

工作示例（SQLITE） http://www.datagloop.com/?ACTION=LOGIN&USERNAME=DATAGLOOP/SO_CONCAT

來源

2013-11-20 15:24:24

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