Question

我有一个包含2个重要列的表，一个有日期和时间，另一个有秒数（所以，整数）。

我希望获得一周中每一天以及一天中每个小时的秒数。

我设法在一周中的每一天都有24行的这些信息，其中dow在一列中，小时在另一列中，以及最后一列中的秒数。我希望拥有的只有7行，其中一列是dow，另一列是数组或具有24秒的数据。

关于如何摆脱它的任何想法？

我结束的查询是：

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

这给了我一个结果：

 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
...

Answer 1

尝试折腾array_agg()，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

Answer 2

对于那些不使用PostgreSQL的人，我可以想到2个解决方案。

假设（对于此示例）包含dow，hour和mins列的结果表那么你可以......

1）做一个相当混乱的多连接（片刻显示的Oracle和SQLServer版本） 2）或编写一个可以返回结果的CONCAT_MYSTATS函数。对于SQLITE你可以使用现有的GROUP_CONCAT聚合函数。

懒惰版本代码 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; /

然后

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 @ALIST=@ALIST + ';'; SET @ALIST=@ALIST + CAST(@QHR AS VARCHAR) + '=' + CAST(@QMINS AS VARCHAR); -- FETCH cREC INTO @QHR,@QMINS; END CLOSE cREC DEALLOCATE cREC RETURN @ALIST; END

然后

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

最后，对于SQLITE，您需要做的就是

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

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

根据一个领域分组结果

2 个答案: