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.)
Related
i have a starting table where there are some meteo data stored every 15 minutes, one field stores leaf wet at 1 minute sampling in a numeric array form, thus i have a 15 values array each row.
Now i want to create a 1 hour aggregation of this table, crating an array of 60 values for this field.
I tried array_cat at first place, but says
array_cat(numeric[]) not existing
the function obviuously exists, so i tought the format was not the one expected, i tried first unnesting and then aggregating, not working again.
Finally i was able to aggregate trough string conversion, but it's not what i wanted (i might in the future apply some numeric elaboration oh that 60-values array)
I paste the query for further investigations
SELECT dati1_v.id_stazione,
to_char(dati1_v.data_ora, 'YYYY-MM-DD HH24:00:00'::text) AS date_hour,
round(avg(dati1_v.temp1_media), 2) AS t_avg,
round(avg(dati1_v.ur1_media), 2) AS hum_avg,
sum(dati1_v.pioggia) AS rain_tot,
max(dati1_v.pioggia) AS rain_max,
round((avg((SELECT avg(lw.lw) AS avg FROM unnest(dati1_v.lw_top_array) lw(lw))) - lws.top_min) /
(lws.top_max - lws.top_min) * 100::numeric, 2) AS lw_top_avg,
array_agg((SELECT round((avg(lw.lw) - lws.top_min) / (lws.top_max - lws.top_min) * 100::numeric, 2) AS round
FROM unnest(dati1_v.lw_top_array) lw(lw))) AS lw_top_array,
array_cat(dati1_v.lw_top_array) AS lw_top_array_tot,
-- array_agg((select lw_top_array from unnest(dati1_v.lw_top_array))) AS lw_top_array_tot,
-- array_agg(array_to_string(dati1_v.lw_top_array, ',')) AS lw_top_array_tot,
round((avg((SELECT avg(lw.lw) AS avg FROM unnest(dati1_v.lw_bottom_array) lw(lw))) - lws.bottom_min) /
(lws.bottom_max - lws.bottom_min) * 100::numeric, 2) AS lw_bottom_avg,
array_agg((SELECT round((avg(lw.lw) - lws.bottom_min) / (lws.bottom_max - lws.bottom_min) * 100::numeric,
2) AS round
FROM unnest(dati1_v.lw_bottom_array) lw(lw))) AS lw_bottom_array
FROM dati1_v,
lw_settings lws
WHERE lws.id = 1
GROUP BY dati1_v.id_stazione, to_char(dati1_v.data_ora, 'YYYY-MM-DD HH24:00:00'::text), lws.top_min, lws.top_max,
lws.bottom_min, lws.bottom_max
ORDER BY dati1_v.id_stazione, to_char(dati1_v.data_ora, 'YYYY-MM-DD HH24:00:00'::text)
in particular, my tries were related to this specific block:
array_cat(dati1_v.lw_top_array) AS lw_top_array_tot,
-- array_agg((select lw_top_array from unnest(dati1_v.lw_top_array))) AS lw_top_array_tot,
-- array_agg(array_to_string(dati1_v.lw_top_array, ',')) AS lw_top_array_tot
Thanks
For me in similar case helped UNNEST in subquery and ARRAY_AGG of unnnested
SELECT
ARRAY_AGG(
DISTINCT lw_top
) as lw_top_array
FROM (
SELECT
UNNEST(lw_top_array) AS lw_top
FROM
dati1_v
) as tmp;
for me helped next query
SELECT
my_table.key,
array_agg(_unnested.item) as array_coll
from my_table
left join LATERAL (SELECT unnest(my_table.array_coll) as item) _unnested ON TRUE
GROUP by my_table.key
In PostgreSQL, the Group_concat function is not available but you can get similar result as string_agg and array_to_string.
string_agg(array_to_string(file_ids, ','), ',') filter ( where file_ids notnull ) AS file_ids_str
array_to_string and array_to_string works in next way
array_to_string([1, 2, 456], ',') => '1,2,456'
string_agg(['a', 'ab'], ',') => 'a,ab'
the only problem is that result is string with ',' as separator
I'm fairly new to T-SQL, Stored Procedures and Microsoft SQL Server Management Studio.
I have created a View in my database called BodyBasics. In this View, there is a column called BackAngle. In the BackAngle column, I list at which angle the users back is bent. The datatype is float and can range from 90 to 180.
Some example values found in this View column are:
173,10786534157, 147,423570266, 170,196359990068, 148,774131860277, 153,439316876929, 147,063469480619, 173,861485242977, 172,1319088368, 145,416983331938, 163,02645970309, 147,65814822779, 146,212510299859, 173,769456580658
The View looks like this:
| ID | Timestamp | RecordingId | BodyNumber | BackAngle |
What I would like to do is SELECT the BackAngle data from the View in chronological order and plot the data into a graph.
The query I have tried is:
GO
DECLARE #BackAngle TABLE(Backangle FLOAT);
INSERT #BackAngle(Backangle) SELECT dbo.ViewBodies.BackAngle FROM dbo.ViewBodies
WHERE dbo.ViewBodies.BackAngle IS NOT NULL
ORDER BY Timestamp;
SELECT geometry::STGeomFromText( 'LINESTRING(' + #BackAngle(Backangle) + ')' );
GO
The errors that I get from this code is:
Msg 102, Level 15, State 1, Line 7
Incorrect syntax near 'Backangle'.
Msg 102, Level 15, State 1, Line 9
Incorrect syntax near '('.
I got the geometry::STGeomFromText syntax from this article:
http://sqlmag.com/t-sql/generating-charts-and-drawings-sql-server-management-studio
Can someone point out what is wrong with my code and whether this is the right way to do this? Is there any alternative?
You don't need a temp table you should make a TEXT STRING with variables to use it in LINESTRING. As a scale line you can use row numbers (1,2,3,4,...)
DECLARE #WKT AS VARCHAR(8000);
SET #WKT =
STUFF(
(SELECT ','
+ CAST( ROW_NUMBER()
OVER (ORDER BY [timestamp]) AS VARCHAR(100))
+ ' ' + CAST( BackAngle AS VARCHAR(30) )
FROM ViewBodies
WHERE BackAngle IS NOT NULL
ORDER BY [timestamp]
FOR XML PATH('')), 1, 1, '');
SELECT geometry::STGeomFromText( 'LINESTRING(' + #WKT + ')', 0 );
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 am developing a TSQL stored proc using SSMS 2008 and am receiving the above error while generating a CTE. I want to add logic to this SP to return every day, not just the days with data. How do I do this? Here is my SP so far:
ALTER Proc [dbo].[rpt_rd_CensusWithChart]
#program uniqueidentifier = NULL,
#office uniqueidentifier = NULL
AS
DECLARE #a_date datetime
SET #a_date = case when MONTH(GETDATE()) >= 7 THEN '7/1/' + CAST(YEAR(GETDATE()) AS VARCHAR(30))
ELSE '7/1/' + CAST(YEAR(GETDATE())-1 AS VARCHAR(30)) END
if exists (
select * from tempdb.dbo.sysobjects o where o.xtype in ('U') and o.id = object_id(N'tempdb..#ENROLLEES')
) DROP TABLE #ENROLLEES;
if exists (
select * from tempdb.dbo.sysobjects o where o.xtype in ('U') and o.id = object_id(N'tempdb..#DISCHARGES')
) DROP TABLE #DISCHARGES;
declare #sum_enrollment int
set #sum_enrollment =
(select sum(1)
from enrollment_view A
join enrollment_info_expanded_view C on A.enrollment_id = C.enroll_el_id
where
(#office is NULL OR A.group_profile_id = #office)
AND (#program is NULL OR A.program_info_id = #program)
and (C.pe_end_date IS NULL OR C.pe_end_date > #a_date)
AND C.pe_start_date IS NOT NULL and C.pe_start_date < #a_date)
select
A.program_info_id as [Program code],
A.[program_name],
A.profile_name as Facility,
A.group_profile_id as Facility_code,
A.people_id,
1 as enrollment_id,
C.pe_start_date,
C.pe_end_date,
LEFT(datename(month,(C.pe_start_date)),3) as a_month,
day(C.pe_start_date) as a_day,
#sum_enrollment as sum_enrollment
into #ENROLLEES
from enrollment_view A
join enrollment_info_expanded_view C on A.enrollment_id = C.enroll_el_id
where
(#office is NULL OR A.group_profile_id = #office)
AND (#program is NULL OR A.program_info_id = #program)
and (C.pe_end_date IS NULL OR C.pe_end_date > #a_date)
AND C.pe_start_date IS NOT NULL and C.pe_start_date >= #a_date
;WITH #ENROLLEES AS (
SELECT '7/1/11' AS dt
UNION ALL
SELECT DATEADD(d, 1, pe_start_date) as dt
FROM #ENROLLEES s
WHERE DATEADD(d, 1, pe_start_date) <= '12/1/11')
The most obvious issue (and probably the one that causes the error message too) is the absence of the actual statement to which the last CTE is supposed to pertain. I presume it should be a SELECT statement, one that would combine the result set of the CTE with the data from the #ENROLLEES table.
And that's where another issue emerges.
You see, apart from the fact that a name that starts with a single # is hardly advisable for anything that is not a local temporary table (a CTE is not a table indeed), you've also chosen for your CTE a particular name that already belongs to an existing table (more precisely, to the already mentioned #ENROLLEES temporary table), and the one you are going to pull data from too. You should definitely not use an existing table's name for a CTE, or you will not be able to join it with the CTE due to the name conflict.
It also appears that, based on its code, the last CTE represents an unfinished implementation of the logic you say you want to add to the SP. I can suggest some idea, but before I go on I'd like you to realise that there are actually two different requests in your post. One is about finding the cause of the error message, the other is about code for a new logic. Generally you are probably better off separating such requests into distinct questions, and so you might be in this case as well.
Anyway, here's my suggestion:
build a complete list of dates you want to be accounted for in the result set (that's what the CTE will be used for);
left-join that list with the #ENROLLEES table to pick data for the existing dates and some defaults or NULLs for the non-existing ones.
It might be implemented like this:
… /* all your code up until the last WITH */
;
WITH cte AS (
SELECT CAST('7/1/11' AS date) AS dt
UNION ALL
SELECT DATEADD(d, 1, dt) as dt
FROM cte
WHERE dt < '12/1/11'
)
SELECT
cte.dt,
tmp.[Program code],
tmp.[program_name],
… /* other columns as necessary; you might also consider
enveloping some or all of the "tmp" columns in ISNULLs,
like in
ISNULL(tmp.[Program code], '(none)') AS [Program code]
to provide default values for absent data */
FROM cte
LEFT JOIN #ENROLLEES tmp ON cte.dt = tmp.pe_start_date
;