trying to calculate a moving total for a yearly column bucket, the monthly buckets are rolling as well so I'm not sure if possible in single update, I want the prev12 column to equal the updated monthly 1-12 after the move
update table_a as a1
set (a1.col1, a1.col2, a1.col3,a1.col4,a1.col5,a1.col6,
a1.col7, a1.col8,a1.col9, a1.col10,a1.col11,a1.col12,
a1.col_prev12) =
(select
a2.col, a2.col1, a2.col2, a2.col3,
a2.col4, a2.col5, a2.col6,
a2.col7, a2.col8, a2.col9,
a2.col10, a2.col11,
a2.col1 + a2.col2 + a2.col3 + a2.col4 +
a2.col5 + a2.col6 + a2.col7 + a2.col8 +
a2.col9 + a2.col10 + a2.col11 + a2.col12
from table_a as a2
where a1.store = a2.store and a1.line = a2.line and a1.item = a2.item
)
where a1.last_roll_date = current date
Not quite sure what you want, but yes you can update multiple columns in on UPDATE
Also, you might find this form of UPDATE easier
UPDATE (
SELECT *
, LAG(COL1) OVER(PARTITION BY store, line ORDER BY last_roll_date) as PREV_COL1
, LAG(COL1) OVER(PARTITION BY store, line ORDER BY last_roll_date) as PREV_COL2
FROM
table_a
)
SET COL1 = PREV_COL1
, COL2 = PREV_COL2
WHERE
last_roll_date = current date
or if not, you probably just a where a1.last_roll_date = a2.last_role_date - 1 month in your original sub-select
Related
I am trying to normalize my tables to make the db more efficient.
To do this I have removed several columns from a table that I was updating several columns on.
Here is the original query when all the columns were in the table:
UPDATE myActDataBaselDataTable
set [Correct Arrears 2]=(case when [Maturity Date]='' then 0 else datediff(d,convert(datetime,#DataDate, 102),convert(datetime,[Maturity Date],102)) end)
from myActDataBaselDataTable
Now I have removed [Maturity Date] from the table myActDataBaselDataTable and it's necessary to retrieve that column from the base reference table ACTData, where it is called Mat.
In my table myActDataBaselDataTable the Account number field is a concatenation of 3 fields in ACTData, thus
myActDataBaselDataTable.[Account No]=ac.[Unit] + ' ' + ac.[ACNo] + ' ' + ac.[Suffix]
(where ac is the alias for ACTData)
So, having looked at the answers given elsewhere on SO (such as 1604091: update-a-table-using-join-in-sql-server), I tried to modify this particular update statement as below, but I cannot get it right:
UPDATE myActDataBaselDataTable
set dt.[Correct Arrears 2]=(
case when ac.[Mat]=''
then 0
else datediff(d,convert(datetime,'2014-04-30', 102),convert(datetime,ac.[Mat],102))
end)
from ACTData ac
inner join myActDataBaselDataTable dt
ON dt.[Account No]=ac.[Unit] + ' ' + ac.[ACNo] + ' ' + ac.[Suffix]
I either get an Incorrect syntax near 'From' error, or The multi-part identifier "dt.Correct Arrears 2" could not be bound.
I'd be grateful for any guidance on how to get this right, or suugestiopns about how to do it better.
thanks
EDIT:
BTW, when I run the below as a SELECT it returns data with no errors:
select case when [ac].[Mat]=''
then 0
else datediff(d,convert(datetime,'2014-04-30', 102),convert(datetime,[ac].[Mat],102))
end
from ACTData ac
inner join myActDataBaselDataTable dt
ON dt.[Account No]=ac.[Unit] + ' ' + ac.[ACNo] + ' ' + ac.[Suffix]
In a join update, update the alias
update dt
What is confusing is that in later versions of SQL you don't need to use the alias in the update line
I need a Query to extract the first instance and last instance only between date parameters.
I have a Table recording financial information with financialyearenddate field linked to Company table via companyID. Each company is also linked to programme table and can have multiple programmes. I have a report to pull the financials for each company
on certain programme which I have adjusted to pull only the first and last instance (using MIN & MAX) however I need the first instance.
after a certain date parameter and the last instance before a certain date parameter.
Example: Company ABloggs has financials for 1999,2000,2001,2004,2006,2007,2009 but the programme ran from 2001 to 2007 so I only want
the first financial record and last financial record between those years i.e. 2001 & 2007 records. Any help appreciated.
At the moment I am using 2 queries as I needed the data in a hurry but I need it in 1 query and only where financial year end dates are between parameters and only where there are minimum of 2 GVA records for a company.
Query1:
SELECT
gva.ccx_companyname,
gva.ccx_depreciation,
gva.ccx_exportturnover,
gva.ccx_financialyearenddate,
gva.ccx_netprofitbeforetax,
gva.ccx_totalturnover,
gva.ccx_totalwages,
gva.ccx_statusname,
gva.ccx_status,
gva.ccx_company,
gva.ccx_totalwages + gva.ccx_netprofitbeforetax + gva.ccx_depreciation AS GVA,
gva.ccx_nofulltimeequivalentemployees
FROM
(
SELECT
ccx_companyname,
MAX(ccx_financialyearenddate) AS LatestDate
FROM Filteredccx_gva AS Filteredccx_gva_1
GROUP BY ccx_companyname
) AS min_1
INNER JOIN Filteredccx_gva AS gva
ON min_1.ccx_companyname = gva.ccx_companyname AND
min_1.LatestDate = gva.ccx_financialyearenddate
WHERE (gva.ccx_status = ACTUAL)
Query2:
SELECT
gva.ccx_companyname,
gva.ccx_depreciation,
gva.ccx_exportturnover,
gva.ccx_financialyearenddate,
gva.ccx_netprofitbeforetax,
gva.ccx_totalturnover,
gva.ccx_totalwages,
gva.ccx_statusname,
gva.ccx_status,
gva.ccx_company,
gva.ccx_totalwages + gva.ccx_netprofitbeforetax + gva.ccx_depreciation AS GVA,
gva.ccx_nofulltimeequivalentemployees
FROM
(
SELECT
ccx_companyname,
MIN(ccx_financialyearenddate) AS FirstDate
FROM Filteredccx_gva AS Filteredccx_gva_1
GROUP BY ccx_companyname
) AS MAX_1
INNER JOIN Filteredccx_gva AS gva
ON MAX_1.ccx_companyname = gva.ccx_companyname AND
MAX_1.FirstDate = gva.ccx_financialyearenddate
WHERE (gva.ccx_status = ACTUAL)
Can't you just add a where clause using the first and last date parameters. Something like this:
SELECT <companyId>, MIN(<date>), MAX(<date>)
FROM <table>
WHERE <date> BETWEEN #firstDate AND #lastDate
GROUP BY <companyId>
declare #programme table (ccx_companyname varchar(max), start_year int, end_year int);
insert #programme values
('ABloggs', 2001, 2007);
declare #companies table (ccx_companyname varchar(max), ccx_financialyearenddate int);
insert #companies values
('ABloggs', 1999)
,('ABloggs', 2000)
,('ABloggs', 2001)
,('ABloggs', 2004)
,('ABloggs', 2006)
,('ABloggs', 2007)
,('ABloggs', 2009);
select c.ccx_companyname, min(ccx_financialyearenddate), max(ccx_financialyearenddate)
from #companies c
join #programme p on c.ccx_companyname = p.ccx_companyname
where c.ccx_financialyearenddate >= p.start_year and c.ccx_financialyearenddate <= p.end_year
group by c.ccx_companyname
having count(*) > 1;
You can combine your two original queries into a single query by including the MIN and MAX aggregates in the same GROUP BY query of the virtual table. Also including COUNT() and HAVING COUNT() > 1 ensures company must have at least 2 dates. So query should look like:
SELECT
gva.ccx_companyname,
gva.ccx_depreciation,
gva.ccx_exportturnover,
gva.ccx_financialyearenddate,
gva.ccx_netprofitbeforetax,
gva.ccx_totalturnover,
gva.ccx_totalwages,
gva.ccx_statusname,
gva.ccx_status,
gva.ccx_company,
gva.ccx_totalwages + gva.ccx_netprofitbeforetax + gva.ccx_depreciation AS GVA,
gva.ccx_nofulltimeequivalentemployees
FROM
(SELECT
ccx_companyname,
ccx_status,
MIN(ccx_financialyearenddate) AS FirstDate,
MAX(ccx_financialyearenddate) AS LastDate,
COUNT(*) AS NumDates
FROM Filteredccx_gva AS Filteredccx_gva_1
WHERE (ccx_status = ACTUAL)
GROUP BY ccx_companyname, ccx_status
HAVING COUNT(*) > 1
) AS MinMax
INNER JOIN Filteredccx_gva AS gva
ON MinMax.ccx_companyname = gva.ccx_companyname AND
(MinMax.FirstDate = gva.ccx_financialyearenddate OR
MinMax.LastDate = gva.ccx_financialyearenddate)
WHERE (gva.ccx_status = MinMax.ccx_status)
ORDER BY gva.ccx_companyname, gva.ccx_financialyearenddate
Here's a simple query we do for ad hoc requests from our Marketing department on the leads we received in the last 90 days.
SELECT ID
,FIRST_NAME
,LAST_NAME
,ADDRESS_1
,ADDRESS_2
,CITY
,STATE
,ZIP
,HOME_PHONE
,MOBILE_PHONE
,EMAIL_ADDRESS
,ROW_ADDED_DTM
FROM WEB_LEADS
WHERE ROW_ADDED_DTM BETWEEN #START AND #END
They are asking for more derived columns to be added that show the number of previous occurences of ADDRESS_1 where the EMAIL_ADDRESS matches. But they want is for different date ranges.
So the derived columns would look like this:
,COUNT_ADDRESS_1_LAST_1_DAYS,
,COUNT_ADDRESS_1_LAST_7_DAYS
,COUNT_ADDRESS_1_LAST_14_DAYS
etc.
I've manually filled these derived columns using update statements when there was just a few. The above query is really just a sample of a much larger query with many more columns. The actual request has blossomed into 6 date ranges for 13 columns. I'm asking if there's a better way then using 78 additional update statements.
I think you will have a hard time writing a query that includes all of these 78 metrics per e-mail address without actually creating a query that hard-codes the different choices. However you can generate such a pivot query with dynamic SQL, which will save you some keystrokes and will adjust dynamically as you add more columns to the table.
The result you want to end up with will look something like this (but of course you won't want to type it):
;WITH y AS
(
SELECT
EMAIL_ADDRESS,
/* aggregation portion */
[ADDRESS_1] = COUNT(DISTINCT [ADDRESS_1]),
[ADDRESS_2] = COUNT(DISTINCT [ADDRESS_2]),
... other columns
/* end agg portion */
FROM dbo.WEB_LEADS AS wl
WHERE ROW_ADDED_DTM >= /* one of 6 past dates */
GROUP BY wl.EMAIL_ADDRESS
)
SELECT EMAIL_ADDRESS,
/* pivot portion */
COUNT_ADDRESS_1_LAST_1_DAYS = *count address 1 from 1 day ago*,
COUNT_ADDRESS_1_LAST_7_DAYS = *count address 1 from 7 days ago*,
... other date ranges ...
COUNT_ADDRESS_2_LAST_1_DAYS = *count address 2 from 1 day ago*,
COUNT_ADDRESS_2_LAST_7_DAYS = *count address 2 from 7 days ago*,
... other date ranges ...
... repeat for 11 more columns ...
/* end pivot portion */
FROM y
GROUP BY EMAIL_ADDRESS
ORDER BY EMAIL_ADDRESS;
This is a little involved, and it should all be run as one script, but I'm going to break it up into chunks to intersperse comments on how the above portions are populated without typing them. (And before long #Bluefeet will probably come along with a much better PIVOT alternative.) I'll enclose my interspersed comments in /* */ so that you can still copy the bulk of this answer into Management Studio and run it with the comments intact.
Code/comments to copy follows:
/*
First, let's build a table of dates that can be used both to derive labels for pivoting and to assist with aggregation. I've added the three ranges you've mentioned and guessed at a fourth, but hopefully it is clear how to add more:
*/
DECLARE #d DATE = SYSDATETIME();
CREATE TABLE #L(label NVARCHAR(15), d DATE);
INSERT #L(label, d) VALUES
(N'LAST_1_DAYS', DATEADD(DAY, -1, #d)),
(N'LAST_7_DAYS', DATEADD(DAY, -8, #d)),
(N'LAST_14_DAYS', DATEADD(DAY, -15, #d)),
(N'LAST_MONTH', DATEADD(MONTH, -1, #d));
/*
Next, let's build the portions of the query that are repeated per column name. First, the aggregation portion is just in the format col = COUNT(DISTINCT col). We're going to go to the catalog views to dynamically derive the list of column names (except ID, EMAIL_ADDRESS and ROW_ADDED_DTM) and stuff them into a #temp table for re-use.
*/
SELECT name INTO #N FROM sys.columns
WHERE [object_id] = OBJECT_ID(N'dbo.WEB_LEADS')
AND name NOT IN (N'ID', N'EMAIL_ADDRESS', N'ROW_ADDED_DTM');
DECLARE #agg NVARCHAR(MAX) = N'', #piv NVARCHAR(MAX) = N'';
SELECT #agg += ',
' + QUOTENAME(name) + ' = COUNT(DISTINCT '
+ QUOTENAME(name) + ')' FROM #N;
PRINT #agg;
/*
Next we'll build the "pivot" portion (even though I am angling for the poor man's pivot - a bunch of CASE expressions). For each column name we need a conditional against each range, so we can accomplish this by cross joining the list of column names against our labels table. (And we'll use this exact technique again in the query later to make the /* one of past 6 dates */ portion work.
*/
SELECT #piv += ',
COUNT_' + n.name + '_' + l.label
+ ' = MAX(CASE WHEN label = N''' + l.label
+ ''' THEN ' + QUOTENAME(n.name) + ' END)'
FROM #N as n CROSS JOIN #L AS l;
PRINT #piv;
/*
Now, with those two portions populated as we'd like them, we can build a dynamic SQL statement that fills out the rest:
*/
DECLARE #sql NVARCHAR(MAX) = N';WITH y AS
(
SELECT
EMAIL_ADDRESS, l.label' + #agg + '
FROM dbo.WEB_LEADS AS wl
CROSS JOIN #L AS l
WHERE wl.ROW_ADDED_DTM >= l.d
GROUP BY wl.EMAIL_ADDRESS, l.label
)
SELECT EMAIL_ADDRESS' + #piv + '
FROM y
GROUP BY EMAIL_ADDRESS
ORDER BY EMAIL_ADDRESS;';
PRINT #sql;
EXEC sp_executesql #sql;
GO
DROP TABLE #N, #L;
/*
Now again, this is a pretty complex piece of code, and perhaps it can be made easier with PIVOT. But I think even #Bluefeet will write a version of PIVOT that uses dynamic SQL because there is just way too much to hard-code here IMHO.
*/
I wish to write a Query for SAP B1 (t-sql) that will list all Income and Expenses Items by total and month by month.
I have successfully written a Query using PIVOT, but I do not want the column headings to be hardcoded like: Jan-11, Feb-11, Mar-11 ... Dec-11.
Rather I want the column headings to be parametrically generated, so that if I input:
--------------------------------------
Query - Selection Criteria
--------------------------------------
Posting Date greater or equal 01.09.10
Posting Date smaller or equal 31.08.11
[OK] [Cancel]
the Query will generate the following columns:
Sep-10, Oct-10, Nov-10, ..... Aug-11
I guess DYNAMIC PIVOT can do the trick.
So, I modified one SQL obtained from another forum to suit my purpose, but it does not work. The error message I get is Incorrect Syntax near 20100901.
Could anybody help me locate my error?
Note: In SAP B1, '[%1]' is an input variable
Here's my query:
/*Section 1*/
DECLARE #listCol VARCHAR(2000)
DECLARE #query VARCHAR(4000)
-------------------------------------
/*Section 2*/
SELECT #listCol =
STUFF(
( SELECT DISTINCT '],[' + CONVERT(VARCHAR, MONTH(T0.RefDate), 102)
FROM JDT1
FOR XML PATH(''))
, 1, 2, '') + ']'
------------------------------------
/*Section 3*/
SET #query = '
SELECT * FROM
(
SELECT
T0.Account,
T1.GroupMask,
T1.AcctName,
MONTH(T0.RefDate) as [Month],
(T0.Debit - T0.Credit) as [Amount]
FROM dbo.JDT1 T0
JOIN dbo.OACT T1 ON T0.Account = T1.AcctCode
WHERE
T1.GroupMask IN (4,5,6,7) AND
T0.[Refdate] >= '[%1]' AND
T0.[Refdate] <= '[%2]'
) S
PIVOT
(
Sum(Amount)
FOR [Month] IN ('+#listCol+')
) AS pvt
'
--------------------------------------------
/*Section 4*/
EXECUTE (#query)
I don't know SAP, but a couple of things spring to mind:
It looks like you want #listCol to contain a collection of numbers within square brackets, for example [07],[08],[09].... However, your code appears not to put a [ at the start of this string.
Try replacing the lines
T0.[Refdate] >= '[%1]' AND
T0.[Refdate] <= '[%2]'
with
T0.[Refdate] >= ''[%1]'' AND
T0.[Refdate] <= ''[%2]''
(I also added a space before the AND in the first of these two lines while I was editing your question.)
I am trying to total by account, the expenses & income per account. There are multiples of both the income & the expenses per account. I am struggling with this as am still learning SQL and thought that someone else likely has already addressed this? I sure would appreciate the help!
I know that this SQL server code is not correct but it at least gives a bit clearer picture of what I am attempting to do.
IF(SELECT(OBJECT_ID('TEMPDB..#Total'))) IS NOT NULL DROP TABLE #Total
declare #Expenses decimal(13,2),
#income decimal(13,2)
set #expenses = sum(EXP_CHILD_CARE_AMOUNT)
+ sum(EXP_FOOD_AMOUNT)
+ sum(EXP_LIFE_INSURANCE_AMOUNT)
+ sum(EXP_TRANSPORTATION_AMOUNT)
+ sum(EXP_TUITION_AMOUNT)
+ sum(EXP_USER_2_AMOUNT)
+ sum(EXP_USER_3_AMOUNT)
+ sum(EXP_UTILITIES_AMOUNT)
set #income = (sum(NET_PAY_AMOUNT)
+ sum(OTHER_INCOME_AMOUNT)
SELECT F.LOAN_NUMBER, #Income, #Expenses
INTO #Total
FROM OPENQUERY(SvrLink, '
SELECT F.Account, #Income, #Expenses
FROM finances F
inner join account a on(a.Account = f.Account)
where a.balance > 0
FETCH ONLY WITH UR ')
...ok, assuming that some fields are grouped into the same table (if not you'll just have to write the joins), you just need 1 query. (I wish all languages were as concise...)
#AccountId is your desired account id.
SELECT l.LOAN_NUMBER, l.AccountId,
(SELECT sum(EXP_CHILD_CARE_AMOUNT) + sum(EXP_FOOD_AMOUNT) +
sum(EXP_LIFE_INSURANCE_AMOUNT) + sum(EXP_TRANSPORTATION_AMOUNT) +
sum(EXP_TUITION_AMOUNT) + sum(EXP_USER_2_AMOUNT) +
sum(EXP_USER_3_AMOUNT) + sum(EXP_UTILITIES_AMOUNT)
as ExpenseTotal FROM Expenses_Guessing_The_Table_Name
WHERE AccountId = #AccountId) as ExpenseTotal,
(SELECT sum(NET_PAY_AMOUNT) + sum(OTHER_INCOME_AMOUNT) as IncomeTotal
FROM Income_Guessing_The_Table_Name
WHERE AccountId = #AccountId) as IncomeTotal
FROM Loans l
WHERE l.AccountId = #AccountId AND l.Balance > 0