Popolamento dei dati mancanti in base ai valori di fine mese precedenti


12

Dati i seguenti dati:

create table #histories
(
    username varchar(10),
    account varchar(10),
    assigned date  
);

insert into #histories 
values 
('PHIL','ACCOUNT1','2017-01-04'),
('PETER','ACCOUNT1','2017-01-15'),
('DAVE','ACCOUNT1','2017-03-04'),
('ANDY','ACCOUNT1','2017-05-06'),
('DAVE','ACCOUNT1','2017-05-07'),
('FRED','ACCOUNT1','2017-05-08'),
('JAMES','ACCOUNT1','2017-08-05'),
('DAVE','ACCOUNT2','2017-01-02'),
('PHIL','ACCOUNT2','2017-01-18'),
('JOSH','ACCOUNT2','2017-04-08'),
('JAMES','ACCOUNT2','2017-04-09'),
('DAVE','ACCOUNT2','2017-05-06'),
('PHIL','ACCOUNT2','2017-05-07') ; 

... che rappresenta quando un determinato utente è stato assegnato a un account.

Sto cercando di stabilire chi ha posseduto un determinato account l'ultimo giorno di ogni mese (la data assegnata è la data in cui l'account ha trasferito la proprietà), con eventuali fine mese mancanti popolati (eventualmente creati da una pratica datestabella che ho a disposizione, con colonne utili DateKey, Datee LastDayOfMonth, [concessione @AaronBertrand]) 1 .

I risultati desiderati sarebbero:

PETER, ACCOUNT1, 2017-01-31
PETER, ACCOUNT1, 2017-02-28
DAVE, ACCOUNT1, 2017-03-31
DAVE, ACCOUNT1, 2017-04-30
FRED, ACCOUNT1, 2017-05-31
FRED, ACCOUNT1, 2017-06-30
FRED, ACCOUNT1, 2017-07-31
JAMES, ACCOUNT1, 2017-08-31
PHIL, ACCOUNT2, 2017-01-31
PHIL, ACCOUNT2, 2017-02-28
PHIL, ACCOUNT2, 2017-03-31
JAMES, ACCOUNT2, 2017-04-30
PHIL, ACCOUNT2, 2017-05-31

Fare la parte iniziale di questo con una funzione di windowing è banale, sta aggiungendo le righe "mancanti" con cui sto lottando.


Quindi stai supponendo che Phil abbia il conto l'ultimo giorno del 2017-05perché lo aveva 2017-05-07e non c'era un detentore successivo?
Evan Carroll,

Sì, questa è la logica
Philᵀᴹ

Risposte:


9

Un approccio a questo problema è quello di effettuare le seguenti operazioni:

  1. Emulare LEADsu SQL Server 2008. È possibile utilizzare APPLYo una query per questo.
  2. Per le righe senza una riga successiva, aggiungi un mese alla data del loro account.
  3. Partecipa a una tabella dimensionale che contiene le date di fine mese. Ciò elimina tutte le righe che non si estendono per almeno un mese e aggiunge le righe per riempire gli spazi vuoti, se necessario.

Ho modificato un po 'i dati del test per rendere determinanti i risultati. Aggiunto anche un indice:

create table #histories
(
    username varchar(10),
    account varchar(10),
    assigned date  
);

insert into #histories 
values 
('PHIL','ACCOUNT1','2017-01-04'),
('PETER','ACCOUNT1','2017-01-15'),
('DAVE','ACCOUNT1','2017-03-04'),
('ANDY','ACCOUNT1','2017-05-06'),
('DAVE','ACCOUNT1','2017-05-07'),
('FRED','ACCOUNT1','2017-05-08'),
('JAMES','ACCOUNT1','2017-08-05'),
('DAVE','ACCOUNT2','2017-01-02'),
('PHIL','ACCOUNT2','2017-01-18'),
('JOSH','ACCOUNT2','2017-04-08'), -- changed this date to have deterministic results
('JAMES','ACCOUNT2','2017-04-09'),
('DAVE','ACCOUNT2','2017-05-06'),
('PHIL','ACCOUNT2','2017-05-07') ;

-- make life easy
create index gotta_go_fast ON #histories (account, assigned);

Ecco la tabella delle dimensioni della data più pigra di tutti i tempi:

create table #date_dim_months_only (
    month_date date,
    primary key (month_date)
);

-- put 2500 month ends into table
INSERT INTO #date_dim_months_only WITH (TABLOCK)
SELECT DATEADD(DAY, -1, DATEADD(MONTH, ROW_NUMBER() OVER (ORDER BY (SELECT NULL)), '20000101'))
FROM master..spt_values;

Per il passaggio 1, ci sono molti modi per emulare LEAD. Ecco un metodo:

SELECT 
  h1.username
, h1.account
, h1.assigned
, next_date.assigned
FROM #histories h1
OUTER APPLY (
    SELECT TOP 1 h2.assigned
    FROM #histories h2
    WHERE h1.account = h2.account
    AND h1.assigned < h2.assigned
    ORDER BY h2.assigned ASC
) next_date;

Per il passaggio 2, dobbiamo modificare i valori NULL in qualcos'altro. Si desidera includere l'ultimo mese per ciascun account, quindi è sufficiente aggiungere un mese alla data di inizio:

ISNULL(next_date.assigned, DATEADD(MONTH, 1, h1.assigned))

Per il passaggio 3, possiamo unirci alla tabella delle dimensioni della data. La colonna della tabella delle dimensioni è esattamente la colonna necessaria per il set di risultati:

INNER JOIN #date_dim_months_only dd ON
    dd.month_date >= h1.assigned AND
    dd.month_date < ISNULL(next_date.assigned, DATEADD(MONTH, 1, h1.assigned))

Non mi è piaciuta la query che ho ricevuto quando ho messo tutto insieme. Ci possono essere problemi con l'ordine dei join quando si combinano OUTER APPLYe INNER JOIN. Per ottenere l'ordine di join che volevo, l'ho riscritto con una subquery:

SELECT 
  hist.username
, hist.account
, dd.month_date 
FROM
(
    SELECT 
      h1.username
    , h1.account
    , h1.assigned
    , ISNULL(
        (SELECT TOP 1 h2.assigned
            FROM #histories h2
            WHERE h1.account = h2.account
            AND h1.assigned < h2.assigned
            ORDER BY h2.assigned ASC
        )
        , DATEADD(MONTH, 1, h1.assigned)
    ) next_assigned
    FROM #histories h1
) hist
INNER JOIN #date_dim_months_only dd ON
    dd.month_date >= hist.assigned AND
    dd.month_date < hist.next_assigned;

Non so quanti dati hai, quindi potrebbe non interessarti. Ma il piano sembra come lo voglio:

buon piano

I risultati corrispondono ai tuoi:

╔══════════╦══════════╦════════════╗
 username  account   month_date 
╠══════════╬══════════╬════════════╣
 PETER     ACCOUNT1  2017-01-31 
 PETER     ACCOUNT1  2017-02-28 
 DAVE      ACCOUNT1  2017-03-31 
 DAVE      ACCOUNT1  2017-04-30 
 FRED      ACCOUNT1  2017-05-31 
 FRED      ACCOUNT1  2017-06-30 
 FRED      ACCOUNT1  2017-07-31 
 JAMES     ACCOUNT1  2017-08-31 
 PHIL      ACCOUNT2  2017-01-31 
 PHIL      ACCOUNT2  2017-02-28 
 PHIL      ACCOUNT2  2017-03-31 
 JAMES     ACCOUNT2  2017-04-30 
 PHIL      ACCOUNT2  2017-05-31 
╚══════════╩══════════╩════════════╝

500k righe. Fa parte di un ETL notturno, quindi non ha bisogno di funzionare in un millisecondo :)
Philᵀᴹ

4

Qui non uso una tabella del calendario ma una tabella numerica naturale nums.dbo.nums (spero che anche tu l'abbia, in caso contrario, può essere facilmente generata)

Ho una risposta leggermente diversa dalla tua ('JOSH' <-> 'JAMES') perché i tuoi dati contengono queste 2 righe:

('JOSH','ACCOUNT2','2017-04-09'),
('JAMES','ACCOUNT2','2017-04-09'),

con lo stesso account e la data assegnata e non hai precisato quale dovrebbe essere preso è questa situazione.

declare @eom table(account varchar(10), dt date); 

with acc_mm AS
(
select account, min(assigned) as min_dt, max(assigned) as max_dt
from #histories
group by account
),

acc_mm1 AS
(
select account,
       dateadd(month, datediff(month, '19991231', min_dt), '19991231') as start_dt,
       dateadd(month, datediff(month, '19991231', max_dt), '19991231') as end_dt
from acc_mm
)

insert into @eom (account, dt) 
select account, dateadd(month, n - 1, start_dt)
from acc_mm1
      join nums.dbo.nums            
           on n - 1 <= datediff(month, start_dt, end_dt); 

select eom.dt, eom.account, a.username
from @eom eom 
     cross apply(select top 1 *
                 from #histories h 
                 where eom.account = h.account
                   and h.assigned <= eom.dt
                 order by h.assigned desc) a
order by eom.account, eom.dt;                          

2

Questa non è affatto una soluzione pulita, ma sembra fornire i risultati che stai cercando (sono sicuro che altri avranno domande carine, pulite e completamente ottimizzate per te).

create table #histories
(
    username varchar(10),
    account varchar(10),
    assigned date  
);

insert into #histories 
values 
('PHIL','ACCOUNT1','2017-01-04'),
('PETER','ACCOUNT1','2017-01-15'),
('DAVE','ACCOUNT1','2017-03-04'),
('ANDY','ACCOUNT1','2017-05-06'),
('DAVE','ACCOUNT1','2017-05-07'),
('FRED','ACCOUNT1','2017-05-08'),
('JAMES','ACCOUNT1','2017-08-05'),
('DAVE','ACCOUNT2','2017-01-02'),
('PHIL','ACCOUNT2','2017-01-18'),
('JOSH','ACCOUNT2','2017-04-09'),
('JAMES','ACCOUNT2','2017-04-09'),
('DAVE','ACCOUNT2','2017-05-06'),
('PHIL','ACCOUNT2','2017-05-07') ; 


IF (SELECT OBJECT_ID(N'tempdb..#IncompleteResults')) IS NOT NULL
    DROP TABLE #IncompleteResults;

DECLARE @EOMTable TABLE ( EndOfMonth DATE );
DECLARE @DateToWrite DATE = '2017-01-31';
WHILE @DateToWrite < '2017-10-31'
    BEGIN
        INSERT  INTO @EOMTable
                ( EndOfMonth )
                SELECT  @DateToWrite;

        SELECT  @DateToWrite = EOMONTH(DATEADD(MONTH, 1, @DateToWrite));
    END

    ;
WITH    cteAccountsByMonth
          AS ( SELECT   EndOfMonth ,
                        account
               FROM     @EOMTable e
                        CROSS JOIN ( SELECT DISTINCT
                                            account
                                     FROM   #histories
                                   ) AS h
             ),
        cteHistories
          AS ( SELECT   username ,
                        account ,
                        ROW_NUMBER() OVER ( PARTITION BY ( CAST(DATEPART(YEAR,
                                                              assigned) AS CHAR(4))
                                                           + ( RIGHT('00'
                                                              + CAST(DATEPART(MONTH,
                                                              assigned) AS VARCHAR(10)),
                                                              2) ) ), account ORDER BY assigned DESC ) AS rownum ,
                        CAST(DATEPART(YEAR, assigned) AS CHAR(4)) + RIGHT('00'
                                                              + CAST(DATEPART(MONTH,
                                                              assigned) AS VARCHAR(10)),
                                                              2) AS PartialDate ,
                        assigned ,
                        EOMONTH(assigned) AS EndofMonth
               FROM     #histories
             )
    SELECT  username ,
            e.EndOfMonth ,
            e.account
    INTO #IncompleteResults
    FROM    cteAccountsByMonth e
            LEFT JOIN cteHistories c ON e.EndOfMonth = c.EndofMonth
                                        AND c.account = e.account
                                        AND c.rownum = 1
SELECT  CASE WHEN username IS NULL
             THEN ( SELECT  username
                    FROM    #IncompleteResults i2
                    WHERE   username IS NOT NULL
                            AND i.account = i2.account
                            AND i2.EndOfMonth = ( SELECT    MAX(EndOfMonth)
                                                  FROM      #IncompleteResults i3
                                                  WHERE     i3.EndOfMonth < i.EndOfMonth
                                                            AND i3.account = i.account
                                                            AND i3.username IS NOT NULL
                                                )
                  )
             ELSE username
        END AS username ,
        EndOfMonth ,
        account 
FROM    #IncompleteResults i
ORDER BY account ,
        i.EndOfMonth;

2

Ho usato la tabella delle dimensioni della data di Aaron Bertrand, come menzionate anche nella vostra domanda (che è una tabella super utile per tali scenari) e ho scritto il seguente codice:

Ho aggiunto la EndOfMonthcolonna alla #dimtabella (subito dopo la FirstOfMonthcolonna) usando il seguente codice:

 EndOfMonth as dateadd(s,-1,dateadd(mm, datediff(m,0,[date])+1,0)),

E la soluzione:

if object_id('tempdb..#temp') is not null drop table #temp
create table #temp (nr int, username varchar(100), account varchar(100), eom date)

;with lastassignedpermonth as
(
    select 
           month(assigned) month
         , account
         , max(assigned) assigned
    from 
           #histories 
    group by month(assigned), account 
)
insert into #temp
select 
       distinct row_number() over (order by d.account, d.eom) nr
     , h.username
     , d.account
     , d.eom
from ( 
        select distinct month, cast(d.endofmonth as date) eom, t.account 
        from #dim d cross apply (select distinct account from #histories) t 
     ) d
            left join lastassignedpermonth l on d.month = l.month and l.assigned <= d.eom and d.account = l.account 
            left join #histories h on h.assigned = l.assigned and h.account = l.account 
where d.eom <=  dateadd(s,-1,dateadd(mm, datediff(m,0,getdate())+1,0)) -- end of current month
order by d.account, eom 

-- This could have been done in one single statement with the lead() function but that is available as of SQL Server 2012
select case when t.username is null then (select username from #temp where nr = previous_username.nr) else t.username end as username, t.account, t.eom 
from #temp as t cross apply ( 
                                select max(nr) nr 
                                from #temp as t1
                                where t1.nr < t.nr and t1.username is not null
                            ) as previous_username

/*
   Note: You get twice JAMES and JOSH for April/ACCOUNT2, because apparently they are both assigned on the same date(2017-04-09)... 
   I guess your data should be cleaned up of overlapping dates.
*/

2

Triangle JOIN per la vittoria!

SELECT account,EndOfMonth,username
FROM (
    SELECT Ends.*, h.*
        ,ROW_NUMBER() OVER (PARTITION BY h.account,Ends.EndOfMonth ORDER BY h.assigned DESC) AS RowNumber
    FROM (
        SELECT [Year],[Month],MAX(DATE) AS EndOfMonth
        FROM #dim
        GROUP BY [Year],[Month]
        ) Ends
    CROSS JOIN (
        SELECT account, MAX(assigned) AS MaxAssigned
        FROM #histories
        GROUP BY account
        ) ac
    JOIN #histories h ON h.account = ac.account
        AND Year(h.assigned) = ends.[Year]
        AND Month(h.assigned) <= ends.[Month] --triangle join for the win!
        AND EndOfMonth < DATEADD(month, 1, Maxassigned)
    ) Results
WHERE RowNumber = 1
ORDER BY account,EndOfMonth;

I risultati sono:

account     EndOfMonth  username

ACCOUNT1    2017-01-31  PETER
ACCOUNT1    2017-02-28  PETER
ACCOUNT1    2017-03-31  DAVE
ACCOUNT1    2017-04-30  DAVE
ACCOUNT1    2017-05-31  FRED
ACCOUNT1    2017-06-30  FRED
ACCOUNT1    2017-07-31  FRED
ACCOUNT1    2017-08-31  JAMES

ACCOUNT2    2017-01-31  PHIL
ACCOUNT2    2017-02-28  PHIL
ACCOUNT2    2017-03-31  PHIL
ACCOUNT2    2017-04-30  JAMES
ACCOUNT2    2017-05-31  PHIL

Piano di esecuzione interattivo qui.

Statistiche I / O e TIME (troncati tutti i valori zero dopo letture logiche):

(13 row(s) affected)

Table 'Worktable'.  Scan count 3, logical reads 35.
Table 'Workfile'.   Scan count 0, logical reads  0.
Table '#dim'.       Scan count 1, logical reads  4.
Table '#histories'. Scan count 1, logical reads  1.

SQL Server Execution Times:
    CPU time = 0 ms,  elapsed time = 3 ms.

Esegui una query per creare le tabelle temporanee richieste e prova l'istruzione T-SQL che sto suggerendo:

IF OBJECT_ID('tempdb..#histories') IS NOT NULL
    DROP TABLE #histories

CREATE TABLE #histories (
    username VARCHAR(10)
    ,account VARCHAR(10)
    ,assigned DATE
    );

INSERT INTO #histories
VALUES
('PHIL','ACCOUNT1','2017-01-04'),
('PETER','ACCOUNT1','2017-01-15'),
('DAVE','ACCOUNT1','2017-03-04'),
('ANDY','ACCOUNT1','2017-05-06'),
('DAVE','ACCOUNT1','2017-05-07'),
('FRED','ACCOUNT1','2017-05-08'),
('JAMES','ACCOUNT1','2017-08-05'),
('DAVE','ACCOUNT2','2017-01-02'),
('PHIL','ACCOUNT2','2017-01-18'),
('JOSH','ACCOUNT2','2017-04-08'),
('JAMES','ACCOUNT2','2017-04-09'),
('DAVE','ACCOUNT2','2017-05-06'),
('PHIL','ACCOUNT2','2017-05-07');

DECLARE @StartDate DATE = '20170101'
    ,@NumberOfYears INT = 2;

-- prevent set or regional settings from interfering with 
-- interpretation of dates / literals
SET DATEFIRST 7;
SET DATEFORMAT mdy;
SET LANGUAGE US_ENGLISH;

DECLARE @CutoffDate DATE = DATEADD(YEAR, @NumberOfYears, @StartDate);

-- this is just a holding table for intermediate calculations:
IF OBJECT_ID('tempdb..#dim') IS NOT NULL
    DROP TABLE #dim

CREATE TABLE #dim (
    [date] DATE PRIMARY KEY
    ,[day] AS DATEPART(DAY, [date])
    ,[month] AS DATEPART(MONTH, [date])
    ,FirstOfMonth AS CONVERT(DATE, DATEADD(MONTH, DATEDIFF(MONTH, 0, [date]), 0))
    ,[MonthName] AS DATENAME(MONTH, [date])
    ,[week] AS DATEPART(WEEK, [date])
    ,[ISOweek] AS DATEPART(ISO_WEEK, [date])
    ,[DayOfWeek] AS DATEPART(WEEKDAY, [date])
    ,[quarter] AS DATEPART(QUARTER, [date])
    ,[year] AS DATEPART(YEAR, [date])
    ,FirstOfYear AS CONVERT(DATE, DATEADD(YEAR, DATEDIFF(YEAR, 0, [date]), 0))
    ,Style112 AS CONVERT(CHAR(8), [date], 112)
    ,Style101 AS CONVERT(CHAR(10), [date], 101)
    );

-- use the catalog views to generate as many rows as we need

INSERT #dim ([date])
SELECT d
FROM (
    SELECT d = DATEADD(DAY, rn - 1, @StartDate)
    FROM (
        SELECT TOP (DATEDIFF(DAY, @StartDate, @CutoffDate)) rn = ROW_NUMBER() OVER (
                ORDER BY s1.[object_id]
                )
        FROM sys.all_objects AS s1
        CROSS JOIN sys.all_objects AS s2
        -- on my system this would support > 5 million days
        ORDER BY s1.[object_id]
        ) AS x
    ) AS y;

/* The actual SELECT statement to get the results we want! */

SET STATISTICS IO, TIME ON;

SELECT account,EndOfMonth,username
FROM (
    SELECT Ends.*, h.*
        ,ROW_NUMBER() OVER (PARTITION BY h.account,Ends.EndOfMonth ORDER BY h.assigned DESC) AS RowNumber
    FROM (
        SELECT [Year],[Month],MAX(DATE) AS EndOfMonth
        FROM #dim
        GROUP BY [Year],[Month]
        ) Ends
    CROSS JOIN (
        SELECT account, MAX(assigned) AS MaxAssigned
        FROM #histories
        GROUP BY account
        ) ac
    JOIN #histories h ON h.account = ac.account
        AND Year(h.assigned) = ends.[Year]
        AND Month(h.assigned) <= ends.[Month] --triangle join for the win!
        AND EndOfMonth < DATEADD(month, 1, Maxassigned)
    ) Results
WHERE RowNumber = 1
ORDER BY account,EndOfMonth;

SET STATISTICS IO, TIME OFF;

--IF OBJECT_ID('tempdb..#histories') IS NOT NULL DROP TABLE #histories
--IF OBJECT_ID('tempdb..#dim') IS NOT NULL DROP TABLE #dim
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