查找連續日期範圍和它們發生的次數row_id

Question

我有一張表格，它爲每個公司顯示與它們相關的聯繫人以及關係持續的日期。我想要做的是爲每家公司制定一個關係存在的範圍集合以及在此期間鏈接的聯繫人數量。

（我找不到在搜索領域的可比性問題，所以道歉，如果這是一個重複）

對於下面的示例數據：

CREATE TABLE #overlap 
(
contact_id NVARCHAR(255) 
,company_id NVARCHAR(255) 
,relationship_started DATETIME 
,relationship_ended DATETIME 
) 

INSERT INTO #overlap VALUES ('19CB6330-8559-4357-BF70-8F2EBAE4CF90','AECA7DFD-4551-455A-B01D-0000AE19B712','2006-07-25 00:00:00.000','2010-04-11 10:52:00.000') 
INSERT INTO #overlap VALUES ('90331A59-EED3-47D5-8885-4648825FE06F','AECA7DFD-4551-455A-B01D-0000AE19B712','2007-07-31 00:00:00.000','2007-08-24 01:09:00.000') 
INSERT INTO #overlap VALUES ('CFF414A7-4AB7-4C38-9915-6A107C9044AE','AECA7DFD-4551-455A-B01D-0000AE19B712','2008-01-11 00:00:00.000','2008-02-05 08:23:00.000') 
INSERT INTO #overlap VALUES ('EC520389-4B84-429B-97D2-9653CFC47669','AECA7DFD-4551-455A-B01D-0000AE19B712','2008-01-01 00:00:00.000','2011-02-08 09:00:00.000') 

我想以下結果：

CREATE TABLE #results 
(
company_id NVARCHAR(255) 
,start_date DATETIME 
,end_date DATETIME 
,relationship_number INT 
,num_contacts INT 
) 
INSERT INTO #results VALUES('AECA7DFD-4551-455A-B01D-0000AE19B712','2006-07-25 00:00:00.000','2007-07-31 00:00:00.000',1,1) 
INSERT INTO #results VALUES('AECA7DFD-4551-455A-B01D-0000AE19B712','2007-07-31 00:00:00.000','2007-08-24 01:09:00.000',2,2) 
INSERT INTO #results VALUES('AECA7DFD-4551-455A-B01D-0000AE19B712','2007-08-24 01:09:00.000','2008-01-01 00:00:00.000',3,1) 
INSERT INTO #results VALUES('AECA7DFD-4551-455A-B01D-0000AE19B712','2008-01-01 00:00:00.000','2008-01-11 00:00:00.000',4,2) 
INSERT INTO #results VALUES('AECA7DFD-4551-455A-B01D-0000AE19B712','2008-01-11 00:00:00.000','2008-02-05 08:23:00.000',5,3) 
INSERT INTO #results VALUES('AECA7DFD-4551-455A-B01D-0000AE19B712','2008-02-05 08:23:00.000','2010-04-11 10:52:00.000',6,2) 
INSERT INTO #results VALUES('AECA7DFD-4551-455A-B01D-0000AE19B712','2010-04-11 10:52:00.000','2011-02-08 09:00:00.000',7,1) 

我開始使用這組開始日期（然後重複結束日期），但可能不知道如何使用組CONTIN區分優惠範圍

DENSE_RANK() OVER 
     (PARTITION BY company_id 
     ORDER BY DATEPART(YEAR, relationship_started)*12 + DATEPART(MONTH, relationship_started)) AS start_group 

任何指針在正確的方向感激地收到！ :)

編輯以包括更多的樣本數據：

CREATE TABLE #overlap 
(
contact_id NVARCHAR(255) 
,company_id NVARCHAR(255) 
,relationship_started DATETIME 
,relationship_ended DATETIME 
) 

INSERT INTO #overlap VALUES ('19CB6330-8559-4357-BF70-8F2EBAE4CF90','AECA7DFD-4551-455A-B01D-0000AE19B712','2006-07-25 00:00:00.000','2010-04-11 10:52:00.000') 
INSERT INTO #overlap VALUES ('90331A59-EED3-47D5-8885-4648825FE06F','AECA7DFD-4551-455A-B01D-0000AE19B712','2007-07-31 00:00:00.000','2007-08-24 01:09:00.000') 
INSERT INTO #overlap VALUES ('CFF414A7-4AB7-4C38-9915-6A107C9044AE','AECA7DFD-4551-455A-B01D-0000AE19B712','2008-01-11 00:00:00.000','2008-02-05 08:23:00.000') 
INSERT INTO #overlap VALUES ('EC520389-4B84-429B-97D2-9653CFC47669','AECA7DFD-4551-455A-B01D-0000AE19B712','2008-01-01 00:00:00.000','2011-02-08 09:00:00.000') 
INSERT INTO #overlap VALUES ('E892EF8B-962F-4974-A3ED-60F6E916DB86','0B10F07D-3662-454B-8FAC-87E5AE92EE8D','2008-07-01 00:00:00.000','2011-02-08 09:00:00.000') 
INSERT INTO #overlap VALUES ('76F944E1-E9C8-486E-912B-4A322F5F0A05','6FB62827-A27C-4110-BBA4-BC04C84C0219','2010-12-06 00:00:00.000','2011-02-08 13:00:00.000') 
INSERT INTO #overlap VALUES ('69E3768C-3118-48E1-B590-8A7D02726227','6FB62827-A27C-4110-BBA4-BC04C84C0219','1950-01-01 00:00:00.000','2010-12-06 00:00:00.000') 

Answer 1

WITH Dates 
    AS (SELECT company_id, relationship_started As Date 
     FROM #overlap 
     UNION 
     SELECT company_id, relationship_ended 
     FROM #overlap), 
    T 
    AS (SELECT COUNT(*)        AS Cnt, 
       d.Date, 
       ROW_NUMBER() OVER (PARTITION BY d.company_id ORDER BY (d.Date)) AS RN, 
       d.company_id 
     FROM Dates d 
       left JOIN #overlap o 
        ON d.Date >= relationship_started 
        and d.Date < relationship_ended 
        and d.company_id = o.company_id 
     group by d.Date, 
        d.company_id) 
SELECT t1.company_id, 
     t1.Date, 
     t2.Date, 
     ROW_NUMBER() over (PARTITION BY t1.company_id order by (select 0)) as relationship_number, 
     t1.Cnt 
FROM T t1 
     JOIN T t2 
     ON t2.RN = t1.RN + 1 AND t1.company_id = t2.company_id 
ORDER BY t1.company_id, t1.Date 

Answer 2

我不能完全做到，但 - 但也許這輸入可帶你進入正確的方向。

我的想法是創建兩個CTE（公用表表達式），它將列出新關係開始時的日期（值爲+1）以及關係結束時的值（值爲-1 ）。

因此，基本上，您會得到一個關於與該公司關係發生變化的歷史清單。

我現在走到這一步：

;WITH DatesStarted AS 
(SELECT relationship_started AS 'TheDate', 1 AS 'Delta' 
FROM #overlap 
), 
DatesEnded AS 
(SELECT relationship_ended AS 'TheDate', -1 AS 'Delta' 
FROM #overlap 
) 
SELECT * 
FROM DatesStarted 
UNION 
SELECT * 
FROM DatesEnded 
ORDER BY thedate 

，我得到的輸出是這樣的：

TheDate    Delta 
2006-07-25 00:00:00.000 1 
2007-07-31 00:00:00.000 1 
2007-08-24 01:09:00.000 -1 
2008-01-01 00:00:00.000 1 
2008-01-11 00:00:00.000 1 
2008-02-05 08:23:00.000 -1 
2010-04-11 10:52:00.000 -1 
2011-02-08 09:00:00.000 -1 

所以給這個，你現在應該生成插入到你的結果表....還沒有完成（我必須跑開會） - 但也許這有助於你開始！

Answer 3

我相信這個答案適用於多家公司。評論嵌入到代碼中：

WITH company_dates (company_id, date) AS (
    /* get all relevant dates */ 
    SELECT company_id, relationship_started AS date 
    FROM #overlap 
    UNION 
    SELECT company_id, relationship_ended 
    FROM #overlap 
) 
, sequenced_dates (company_id, date, sequence) AS (
    /* assign dates a sequence for easy joining */ 
    SELECT company_id, date, row_number() OVER (PARTITION BY company_id ORDER BY DATE) AS sequence 
    FROM company_dates 
) 
SELECT d1.company_id, d1.date AS start_date, d2.date AS end_date, row_number() OVER (PARTITION BY d1.company_id ORDER BY d1.date) AS relationship_number, count(*) AS numContacts 
FROM sequenced_dates d1 
JOIN sequenced_dates d2 /* join to get start and end date for each region */ 
    ON d1.company_id = d2.company_id 
    AND d1.sequence = d2.sequence-1 
JOIN #overlap o /* join to get all involved relationships */ 
    ON o.company_id = d1.company_id 
    AND o.relationship_started <= d1.date 
    AND o.relationship_ended >= d2.date 
GROUP BY d1.company_id, d1.date, d2.date 
ORDER BY d1.company_Id, d1.date 

Answer 4

這是我的解決方案，用於記錄。

不知何故，我已經設法重構了一下，所以它對我來說已經不再是巨大的了。儘管如此，執行計劃表示它的性能不如公認的解決方案。

;WITH 
dates AS (
    SELECT 
    company_id, 
    date   = relationship_started, 
    count_change = +1 
    FROM #overlap 
    UNION ALL 
    SELECT 
    company_id, 
    date   = relationship_ended, 
    count_change = -1 
    FROM #overlap 
), 
sorted_dates AS (
    SELECT 
    company_id, 
    date, 
    count_change, 
    rownum = ROW_NUMBER() OVER (PARTITION BY company_id ORDER BY date) 
    FROM (
    SELECT 
     company_id, 
     date, 
     count_change = SUM(count_change) 
    FROM dates 
    GROUP BY company_id, date 
    HAVING SUM(count_change) <> 0 
) s 
) 
SELECT 
    sd1.company_id, 
    start_date   = MAX(sd2.date), 
    end_date   = sd1.date, 
    relationship_number = MAX(sd2.rownum), 
    num_contacts  = SUM(sd2.count_change) 
FROM sorted_dates sd1 
    INNER JOIN sorted_dates sd2 ON sd1.company_id = sd2.company_id 
    AND sd2.rownum BETWEEN 1 AND sd1.rownum - 1 
GROUP BY sd1.company_id, sd1.date