ピボットTSQLで

私はこの

enter image description here

どのように見えるようにレポートのためにそれを旋回するようにしたい、この

enter image description here

のように見えた生データを持っている

Starttimesが左から右に順番に並んでいるTSQLのようにピボットするのですか？ここで

元の質問にコメントに関しては

Declare @ProcessHistory Table (Id Int, ProcessId Int, LocationId Int, StartTime DateTime, EndTime DateTime, Duration Time (0)) Insert Into @ProcessHistory Values (2, 13, 0, '2012-01-27 12:23:35.373', '2012-01-27 12:23:35.963', '00:00:00'), (3, 13, 10, '2012-01-27 12:23:35.373', '2012-01-27 12:23:35.633', '00:00:00'), (4, 13, 20, '2012-01-27 12:23:35.633', '2012-01-27 12:23:35.633', '00:00:00'), (5, 13, 30, '2012-01-27 12:23:35.633', '2012-01-27 12:23:35.657', '00:00:00'), (6, 13, 40, '2012-01-27 12:23:35.657', '2012-01-27 12:23:35.847', '00:00:00'), (7, 13, 50, '2012-01-27 12:23:35.847', '2012-01-27 12:23:35.950', '00:00:00'), (8, 13, 60, '2012-01-27 12:23:35.950', '2012-01-27 12:23:35.963', '00:00:00'), (218, 13, 0, '2012-01-27 22:05:34.650', '2012-01-27 22:05:37.297', '00:00:03'), (219, 13, 10, '2012-01-27 22:05:34.653', '2012-01-27 22:05:35.453', '00:00:01'), (220, 13, 20, '2012-01-27 22:05:35.457', '2012-01-27 22:05:35.463', '00:00:00'), (221, 13, 30, '2012-01-27 22:05:35.467', '2012-01-27 22:05:35.570', '00:00:00'), (222, 13, 40, '2012-01-27 22:05:35.570', '2012-01-27 22:05:35.620', '00:00:00'), (223, 13, 50, '2012-01-27 22:05:35.620', '2012-01-27 22:05:37.280', '00:00:02'), (224, 13, 60, '2012-01-27 22:05:37.283', '2012-01-27 22:05:37.293', '00:00:00'), (434, 13, 0, '2012-01-29 04:35:32.370', '2012-01-29 04:35:36.913', '00:00:04'), (435, 13, 10, '2012-01-29 04:35:32.400', '2012-01-29 04:35:33.817', '00:00:01'), (436, 13, 20, '2012-01-29 04:35:33.883', '2012-01-29 04:35:33.933', '00:00:00'), (437, 13, 30, '2012-01-29 04:35:33.933', '2012-01-29 04:35:34.153', '00:00:01'), (438, 13, 40, '2012-01-29 04:35:34.180', '2012-01-29 04:35:34.660', '00:00:00'), (439, 13, 50, '2012-01-29 04:35:34.727', '2012-01-29 04:35:36.700', '00:00:02'), (440, 13, 60, '2012-01-29 04:35:36.763', '2012-01-29 04:35:36.853', '00:00:00'), (650, 13, 0, '2012-01-29 22:19:18.297', '2012-01-29 22:19:22.103', '00:00:04'), (651, 13, 10, '2012-01-29 22:19:18.297', '2012-01-29 22:19:19.450', '00:00:01'), (652, 13, 20, '2012-01-29 22:19:19.453', '2012-01-29 22:19:19.473', '00:00:00'), (653, 13, 30, '2012-01-29 22:19:19.473', '2012-01-29 22:19:19.493', '00:00:00'), (654, 13, 40, '2012-01-29 22:19:19.493', '2012-01-29 22:19:19.537', '00:00:00'), (655, 13, 50, '2012-01-29 22:19:19.537', '2012-01-29 22:19:22.073', '00:00:03'), (656, 13, 60, '2012-01-29 22:19:22.073', '2012-01-29 22:19:22.083', '00:00:00'), (866, 13, 0, '2012-01-30 11:09:21.437', '2012-01-30 11:09:24.163', '00:00:03'), (867, 13, 10, '2012-01-30 11:09:21.437', '2012-01-30 11:09:22.437', '00:00:01'), (868, 13, 20, '2012-01-30 11:09:22.440', '2012-01-30 11:09:22.443', '00:00:00'), (869, 13, 30, '2012-01-30 11:09:22.447', '2012-01-30 11:09:22.490', '00:00:00'), (870, 13, 40, '2012-01-30 11:09:22.490', '2012-01-30 11:09:22.670', '00:00:00'), (871, 13, 50, '2012-01-30 11:09:22.670', '2012-01-30 11:09:24.150', '00:00:02'), (872, 13, 60, '2012-01-30 11:09:24.150', '2012-01-30 11:09:24.163', '00:00:00'), (1038, 13, 0, '2012-01-30 23:12:51.240', '2012-01-30 23:12:54.837', '00:00:03'), (1039, 13, 10, '2012-01-30 23:12:51.240', '2012-01-30 23:12:52.663', '00:00:01'), (1040, 13, 20, '2012-01-30 23:12:52.667', '2012-01-30 23:12:52.680', '00:00:00'), (1041, 13, 30, '2012-01-30 23:12:52.683', '2012-01-30 23:12:52.733', '00:00:00'), (1042, 13, 40, '2012-01-30 23:12:52.733', '2012-01-30 23:12:53.003', '00:00:01'), (1043, 13, 50, '2012-01-30 23:12:53.003', '2012-01-30 23:12:54.813', '00:00:01'), (1044, 13, 60, '2012-01-30 23:12:54.817', '2012-01-30 23:12:54.833', '00:00:00'), (1254, 13, 0, '2012-01-31 23:08:30.760', '2012-01-31 23:08:33.787', '00:00:03'), (1255, 13, 10, '2012-01-31 23:08:30.763', '2012-01-31 23:08:31.733', '00:00:01'), (1256, 13, 20, '2012-01-31 23:08:31.737', '2012-01-31 23:08:31.743', '00:00:00'), (1257, 13, 30, '2012-01-31 23:08:31.743', '2012-01-31 23:08:31.800', '00:00:00'), (1258, 13, 40, '2012-01-31 23:08:31.800', '2012-01-31 23:08:31.940', '00:00:00'), (1259, 13, 50, '2012-01-31 23:08:31.943', '2012-01-31 23:08:33.627', '00:00:02'), (1260, 13, 60, '2012-01-31 23:08:33.627', '2012-01-31 23:08:33.783', '00:00:00'), (1470, 13, 0, '2012-02-02 04:03:14.497', '2012-02-02 04:03:17.323', '00:00:03'), (1471, 13, 10, '2012-02-02 04:03:14.497', '2012-02-02 04:03:15.257', '00:00:01'), (1472, 13, 20, '2012-02-02 04:03:15.257', '2012-02-02 04:03:15.263', '00:00:00'), (1473, 13, 30, '2012-02-02 04:03:15.267', '2012-02-02 04:03:15.360', '00:00:00'), (1474, 13, 40, '2012-02-02 04:03:15.360', '2012-02-02 04:03:15.637', '00:00:00'), (1475, 13, 50, '2012-02-02 04:03:15.640', '2012-02-02 04:03:17.310', '00:00:02'), (1476, 13, 60, '2012-02-02 04:03:17.310', '2012-02-02 04:03:17.320', '00:00:00'), (1686, 13, 0, '2012-02-02 10:30:32.460', '2012-02-02 10:30:35.197', '00:00:03'), (1687, 13, 10, '2012-02-02 10:30:32.463', '2012-02-02 10:30:33.487', '00:00:01'), (1688, 13, 20, '2012-02-02 10:30:33.490', '2012-02-02 10:30:33.493', '00:00:00'), (1689, 13, 30, '2012-02-02 10:30:33.497', '2012-02-02 10:30:33.517', '00:00:00'), (1690, 13, 40, '2012-02-02 10:30:33.520', '2012-02-02 10:30:33.547', '00:00:00'), (1691, 13, 50, '2012-02-02 10:30:33.550', '2012-02-02 10:30:35.180', '00:00:02'), (1692, 13, 60, '2012-02-02 10:30:35.180', '2012-02-02 10:30:35.190', '00:00:00'), (1858, 13, 0, '2012-02-02 22:20:36.840', '2012-02-02 22:20:39.997', '00:00:03'), (1859, 13, 10, '2012-02-02 22:20:36.843', '2012-02-02 22:20:37.853', '00:00:01'), (1860, 13, 20, '2012-02-02 22:20:37.857', '2012-02-02 22:20:37.863', '00:00:00'), (1861, 13, 30, '2012-02-02 22:20:37.863', '2012-02-02 22:20:37.930', '00:00:00'), (1862, 13, 40, '2012-02-02 22:20:37.933', '2012-02-02 22:20:38.317', '00:00:01'), (1863, 13, 50, '2012-02-02 22:20:38.320', '2012-02-02 22:20:39.980', '00:00:01'), (1864, 13, 60, '2012-02-02 22:20:39.983', '2012-02-02 22:20:39.993', '00:00:00'), (2030, 13, 0, '2012-02-03 03:45:27.820', '2012-02-03 03:45:30.723', '00:00:03'), (2031, 13, 10, '2012-02-03 03:45:27.820', '2012-02-03 03:45:28.880', '00:00:01'), (2032, 13, 20, '2012-02-03 03:45:28.880', '2012-02-03 03:45:28.887', '00:00:00'), (2033, 13, 30, '2012-02-03 03:45:28.887', '2012-02-03 03:45:28.923', '00:00:00'), (2034, 13, 40, '2012-02-03 03:45:28.923', '2012-02-03 03:45:29.123', '00:00:01'), (2035, 13, 50, '2012-02-03 03:45:29.127', '2012-02-03 03:45:30.707', '00:00:01'), (2036, 13, 60, '2012-02-03 03:45:30.707', '2012-02-03 03:45:30.720', '00:00:00'), (2246, 13, 0, '2012-02-06 10:25:28.507', '2012-02-06 10:25:31.693', '00:00:03'), (2247, 13, 10, '2012-02-06 10:25:28.507', '2012-02-06 10:25:29.503', '00:00:01'), (2248, 13, 20, '2012-02-06 10:25:29.503', '2012-02-06 10:25:29.523', '00:00:00'), (2249, 13, 30, '2012-02-06 10:25:29.523', '2012-02-06 10:25:29.570', '00:00:00'), (2250, 13, 40, '2012-02-06 10:25:29.570', '2012-02-06 10:25:29.810', '00:00:00'), (2251, 13, 50, '2012-02-06 10:25:29.810', '2012-02-06 10:25:31.667', '00:00:02'), (2252, 13, 60, '2012-02-06 10:25:31.667', '2012-02-06 10:25:31.690', '00:00:00'), (2506, 13, 0, '2012-02-06 22:15:44.787', '2012-02-06 22:15:47.633', '00:00:03'), (2507, 13, 10, '2012-02-06 22:15:44.787', '2012-02-06 22:15:45.913', '00:00:01'), (2508, 13, 20, '2012-02-06 22:15:45.913', '2012-02-06 22:15:45.920', '00:00:00'), (2509, 13, 30, '2012-02-06 22:15:45.923', '2012-02-06 22:15:45.967', '00:00:00'), (2510, 13, 40, '2012-02-06 22:15:45.970', '2012-02-06 22:15:46.007', '00:00:01'), (2511, 13, 50, '2012-02-06 22:15:46.007', '2012-02-06 22:15:47.610', '00:00:01'), (2512, 13, 60, '2012-02-06 22:15:47.610', '2012-02-06 22:15:47.620', '00:00:00'), (2678, 13, 0, '2012-02-07 03:44:24.393', '2012-02-07 03:44:27.510', '00:00:03'), (2679, 13, 10, '2012-02-07 03:44:24.393', '2012-02-07 03:44:25.670', '00:00:01'), (2680, 13, 20, '2012-02-07 03:44:25.673', '2012-02-07 03:44:25.680', '00:00:00'), (2681, 13, 30, '2012-02-07 03:44:25.680', '2012-02-07 03:44:25.750', '00:00:00'), (2682, 13, 40, '2012-02-07 03:44:25.753', '2012-02-07 03:44:25.990', '00:00:00'), (2683, 13, 50, '2012-02-07 03:44:25.993', '2012-02-07 03:44:27.497', '00:00:02'), (2684, 13, 60, '2012-02-07 03:44:27.500', '2012-02-07 03:44:27.510', '00:00:00'), (2894, 13, 0, '2012-02-07 10:29:23.753', '2012-02-07 10:29:26.587', '00:00:03'), (2895, 13, 10, '2012-02-07 10:29:23.753', '2012-02-07 10:29:24.700', '00:00:01'), (2896, 13, 20, '2012-02-07 10:29:24.700', '2012-02-07 10:29:24.710', '00:00:00'), (2897, 13, 30, '2012-02-07 10:29:24.710', '2012-02-07 10:29:24.733', '00:00:00'), (2898, 13, 40, '2012-02-07 10:29:24.733', '2012-02-07 10:29:24.760', '00:00:00'), (2899, 13, 50, '2012-02-07 10:29:24.760', '2012-02-07 10:29:26.540', '00:00:02'), (2900, 13, 60, '2012-02-07 10:29:26.540', '2012-02-07 10:29:26.560', '00:00:00') Select * From @ProcessHistory

出典

2012-02-07 Raj More

が、これは1回限りのレポートですか？また、どのように配信されていますか（たとえば、Excel SS）？ –

これは週単位で実行されます。私はSSRSを使用しますが、Excelも実行できます。 –

データを生成するTSQLです：

これを行う最も簡単な方法は、ピボットをやっされようとしていますExcel。 SQL Serverでは、ピボット操作ですべての単一の列を指定する必要があります。これは動的に行う必要があります。

上記の結果をExcelシートに入れて、同じブックに2番目のシートを読み込み、最初から読み込んでピボットを実行すると、金色になります。

出典

2012-02-07 17:50:37

@Norlaが、これはSQLで行うことはかなり厄介ですが、以下の（方法により、完全にテストされていないので、いくつかのグレムリンを有していても良い）そこにあなたを取得する必要があり、言ったように：

まず、あなたがする必要があります列名のリストを構築（あなたのstartTime列内の一意の値である：

DECLARE @cols NVARCHAR(2000) 
SELECT @cols = COALESCE(@cols + ',[' + startTime+ ']', 
         '[' + startTime+ ']') 
FROM ProcessHistory 
ORDER BY startTime

は、その後、あなたは、動的SQLクエリにこの文字列を供給する必要があります。その後、

DECLARE @query NVARCHAR(4000) 
SET @query = N'SELECT processId,locationId, '[email protected] +' 
       FROM 
       (SELECT t.processId, 
         t.locationId, 
         t.starttime, 
         t.duration 
       FROM ProcessHistory) t PIVOT (SUM(duration) 
               FOR starttime IN ('[email protected] +') 
               ) AS pvt'

し、それを実行しますwith：

EXECUTE(@query)

出典

2012-02-07 18:04:51 StevieG

サンプルデータを見ると、分単位でカラムがユニークでなければならないと思います。そうでなければ、 – Lamak

+1の意味で（そしてラマーの）答えになりません。今日私がいた時、私はその事例を書いたかもしれません。しかし、人は、動的SQLは私がうんざりさせる。 [悪い経験]：D –

[OK]をクリックすると、質問がたくさんあります。動的SQLが必要なので、最初にthis linkを見てください。また、Duration列はデータ型がTIMEなので、SUMには容易ではないため、CASTとCONVERTの多くがあります。

DECLARE @Dates NVARCHAR(MAX)='', @Q NVARCHAR(MAX), @FormatedDates NVARCHAR(MAX) = '' 

SELECT @Dates = @Dates + '[' + CONVERT(VARCHAR(16),StartTime,120) + '],', 
     @FormatedDates = @FormatedDates + 'CONVERT(TIME(0),CAST([' + CONVERT(VARCHAR(16),StartTime,120) +'] AS DATETIME)) AS [' + CONVERT(VARCHAR(16),StartTime,120) +'],' 
FROM ProcessHistory 
GROUP BY CONVERT(VARCHAR(16),StartTime,120) 

SELECT @Dates = LEFT(@Dates,LEN(@Dates)-1), 
     @FormatedDates = LEFT(@FormatedDates,LEN(@FormatedDates)-1) 

SET @Q = ' 
SELECT ProcessId, LocationId, '[email protected]+' 
FROM ( SELECT ProcessId, LocationId, CONVERT(VARCHAR(16),StartTime,120) StartTime, 
       CAST(CONVERT(DATETIME,Duration) AS FLOAT) Duration 
     FROM ProcessHistory) A 
PIVOT (SUM(Duration) FOR StartTime IN ('[email protected]+')) PT' 


EXEC sp_executesql @Q

出典

2012-02-07 20:38:17 Lamak

たぶん、このような何か：

テストデータ：そのたら私は、私はこのクエリを試してみました（あなたの期待される結果を見て）うまく働いたと言っ

CREATE TABLE ProcessHistory (Id Int, ProcessId Int, LocationId Int, StartTime DateTime, EndTime DateTime, Duration Time (0)) 
Insert Into ProcessHistory Values 
(2, 13, 0, '2012-01-27 12:23:35.373', '2012-01-27 12:23:35.963', '00:00:00'), 
..............................

取得固有の列：

DECLARE @cols VARCHAR(MAX) 
;WITH CTE AS 
(
    SELECT 
     convert(varchar, tbl.StartTime, 101)+' '+LEFT(convert(varchar, tbl.StartTime, 114),5) AS StartTime 
    FROM 
     ProcessHistory AS tbl 
), 
CTE2 AS 
(
    SELECT 
     ROW_Number() OVER(PARTITION BY CTE.StartTime ORDER BY CTE.StartTime DESC) AS RowNbr, 
     CTE.StartTime 
    FROM 
     CTE 
) 
SELECT 
    @cols = COALESCE(@cols + ','+QUOTENAME(StartTime), 
       QUOTENAME(StartTime)) 
FROM 
    CTE2 
WHERE 
    CTE2.RowNbr=1

動的SQLの実行（私は秒単位で合計を選択しました）：テーブルをドロップI'am私の場合はその後

DECLARE @query NVARCHAR(4000)= 
N'SELECT 
    * 
FROM 
(
    SELECT 
     tbl.ProcessId, 
     tbl.LocationId, 
     DATEDIFF(s, 0, tbl.Duration) AS Duration, 
     convert(varchar, tbl.StartTime, 101)+'' ''+LEFT(convert(varchar, tbl.StartTime, 114),5) AS StartTime 
    FROM 
     ProcessHistory AS tbl 
) AS P 
PIVOT 
(
    SUM(Duration) 
    FOR StartTime IN('[email protected]+') 
) AS Pvt' 

EXECUTE(@query)

：

DROP TABLE ProcessHistory

出典

2012-02-08 10:12:04 Arion

ピボットTSQLで

答えて

関連する問題