I'm trying to sum rows into categories. I have a table (r) with the categories and a view with the transactions (v). For the result, I need all categories regardless if there is data in the table v. Here's the code I have, it only return all rows from the r table when there is corresponding data in v.
SELECT SUM(ISNULL(v.PledgeAmount, 0)) AS Range1Pledge,
COUNT(DISTINCT v.CONSTITUENT_ID) AS Range1Count,
r.RangeTitle
FROM view_CASA_KPIDonorPyramidStep2 as v RIGHT OUTER JOIN
tbl_CASA_KPI_GiftRanges as r ON
v.RangeTitle = r.RangeTitle
WHERE (v.CAMPAIGN_ID = '2018') AND (v.PledgeDate < '2/1/2018')
GROUP BY r.RangeTitle
WHERE logic was moved to LEFT JOIN condition in order to prevent filtering of categories that have no transactions
RIGHT join turned into LEFT
2/1/2018 replaced by locale independent format, assuming that it is 01 Feb 2018
SQL:
SELECT r.RangeTitle,
SUM(ISNULL(v.PledgeAmount, 0)) AS Range1Pledge,
COUNT(DISTINCT v.CONSTITUENT_ID) AS Range1Count
FROM tbl_CASA_KPI_GiftRanges as r
LEFT OUTER JOIN view_CASA_KPIDonorPyramidStep2 as v
ON v.RangeTitle = r.RangeTitle
AND ( (v.CAMPAIGN_ID = '2018') AND (v.PledgeDate < '20180201') )
GROUP BY r.RangeTitle
Related
I have 3 tables in that 2 tables are master table and 3rd is transaction table. i need to get count from transaction table for each value in other two table without loosing rows in mater table
i need result like below
Table layout for understanding
This is the code i have tried,
select s.status_name, e.machine_group_name, qty = COALESCE(COUNT(e.id),0)
from tbl_status s
left outer JOIN tbl_transaction as e ON e.status_name = s.status_name
group by e.machine_group_name, s.status_name
This is solution i have figured:
select m.machine_group_name, s.status_name, qty = COUNT(e.id) from
tbl_machine_group as m
cross join tbl_status as s
left outer join tbl_transaction as e on e.status_name = s.status_name
and e.machine_group_name = m.machine_group_name
group by m.machine_group_name, s.status_name
order by machine_group_name
select
MC_Group_Name
,Status_Name
,count(1) as [Count of Transaction]
from
tbl_Transaction tbl_3
left join tbl_Machine_Group tbl_1
on tbl_3.MC_Group_Name = tbl_1.MC_Group_Name
left join tbl_Status tbl_2
on tbl_3.Status_Name = tbl_2.Status_Name
group by
MC_Group_Name
,Status_Name
Could you explain how I get this particular table result?
My 4 queries to individually get each column separately are also below.
I am not sure on method here do I nest the last 3 queries into the first or do I use a union between the queries.
Bearing in mind that the information in each one doesn't really match I assume Union or Union All isn't going to be useful.
Would a derived table be a better method. Sorry my SQL skills are fairly basic.
I need to also retain the ability to 'tweak' the where clauses as my admin decides to exclude certain records later (you IT folks will be used to that!)
Some the ability to alter the where clauses would be good in a solution.
Just to make it more annoying for ya ;-)
Query table would need to look a little like this
Company Department Total_B Total_R Total_Ret RushJobs
ACME LSD 2 100 24 3
The four queries (that work separately to get each column above are here ( I have left in the respective Group By and where clauses incidentally I_Department does map to just Department in the case of 2nd query.
-- Total B count query from B
Select Company,Department, count(*) as Total_B from B
Group by Company,Department
Order BY Company;
--Select h count from h table
Select count(*) as Total_R, I_Department from H
where L ='re-box'
Group By IDepartment
-- Select r count
Select Company,Department,Count (B_Number) AS Total_Ret
from P Inner Join B ON P.Record_Number = B.B_Number
where P.Request_Date > = 'SOMEDATE' and P.Request_Date < = 'SOMEDATERANGE'
Group By Company,Department
-- Select Rush Jobs
Select Company,Department,Count (*) as RushJobs
from Res
Inner Join B on Res.Item_Number = B.B_Number
where Res.Setup_Date >= 'Somedate' and Res.Setup_Date<= 'somedaterange'
and Res.Res_Priority = '1'
Group By Company,Department
So final table
<table><TBODY>
<TR>
<TH>Company</TH>
<TH>Department</TH>
<TH>Total_B</TH>
<TH>Total_R </TH>
<TH>Total_Ret</TH>
<TH>RushJobs</TH></TR>
<TR>
<TD>ACME</TD>
<TD>LSD</TD>
<TD>100</TD>
<TD>2</TD>
<TD>4</TD>
<TD>1</TD></TR></TBODY></table>
One approach would be to use a Common table expression (CTE) aka with statement..
This allows each query to continue to be independent allowing you to easily twerk (I was going to correct that typo but it was just too funny) the where clauses for each and combines the results in the end returning 1 record with 4 columns.
-- Total B count query from B
With B as (
Select Company,Department, count(*) as Total_B from B
Group by Company,Department
Order BY Company),
H as (
--Select h count from h table
Select count(*) as Total_R, I_Department from H
where L ='re-box'
Group By IDepartment),
R as (-- Select r count
Select Company,Department,Count (B_Number) AS Total_Ret
from P Inner Join B ON P.Record_Number = B.B_Number
where P.Request_Date > = 'SOMEDATE' and P.Request_Date < = 'SOMEDATERANGE'
Group By Company,Department),
RushJobs as (-- Select Rush Jobs
Select Company,Department,Count (*) as RushJobs
from Res
Inner Join B on Res.Item_Number = B.B_Number
where Res.Setup_Date >= 'Somedate' and Res.Setup_Date<= 'somedaterange'
and Res.Res_Priority = '1'
Group By Company,Department)
SELECT coalesce(B.Company, R.Company, RJ.Company)
, coalesce(B.Department,R.Department, Rj.Department)
, B.Total_B, H.Total_R, R.Total_Ret, RJ.RushJobs
FROM
FULL OUTER JOIN H
on B.Company = H.Company
FULL OUTER JOIN R
on B.company = R.Company
and B.Department = R.Department
FULL OUTER JOIN RushJobs RJ
on H.company = RJ.Company
and H.Department = RJ.Department
I need to select a random record from 3 tables and ensure I am ordering by photoOrder
Select TOP 1(a.id), a.mls_number, a.parcel_name, a.property_type, a.ownership_type, b.filename, b.photoOrder, c.county_Name
From property as a
Inner JOIN
listingPhotos as b on a.id = b.ListingID
LEFT JOIN
counties as C on a.county_name = c.id
WHERE a.isCommercial = 'True'
Order By NEWID()
So this query works, but I need to ensure that the b.filename record is ordered by b.photoOrder and thus the b.photoOrder should always be 1.
The b table (listing photos) has multiple photo files per property and I need to only select the photo that is 1st in the photo order.
Thanks
You could subquery your listingPhotos table and limit to WHERE PhotoOrder = 1:
Select TOP 1(a.id), a.mls_number, a.parcel_name, a.property_type, a.ownership_type, b.filename, b.photoOrder, c.county_Name
From property as a
Inner JOIN
(SELECT ListingID , filename, PhotoOrder FROM listingPhotos WHERE PhotoORder = 1
) as b on a.id = b.ListingID
LEFT JOIN
counties as C on a.county_name = c.id
WHERE a.isCommercial = 'True'
Order By NEWID()
Having issues getting a dataset to return with one date per client in the query.
Requirements:
Must have the recent date of transaction per client list for user
Will need have the capability to run through EXEC
Current Query:
SELECT
c.client_uno
, c.client_code
, c.client_name
, c.open_date
into #AttyClnt
from hbm_client c
join hbm_persnl p on c.resp_empl_uno = p.empl_uno
where p.login = #login
and c.status_code = 'C'
select
ba.payr_client_uno as client_uno
, max(ba.tran_date) as tran_date
from blt_bill_amt ba
left outer join #AttyClnt ac on ba.payr_client_uno = ac.client_uno
where ba.tran_type IN ('RA', 'CR')
group by ba.payr_client_uno
Currently, this query will produce at least 1 row per client with a date, the problem is that there are some clients that will have between 2 and 10 dates associated with them bloating the return table to about 30,000 row instead of an idealistic 246 rows or less.
When i try doing max(tran_uno) to get the most recent transaction number, i get the same result, some have 1 value and others have multiple values.
The bigger picture has 4 other queries being performed doing other parts, i have only included the parts that pertain to the question.
Edit (2011-10-14 # 1:45PM):
select
ba.payr_client_uno as client_uno
, max(ba.row_uno) as row_uno
into #Bills
from blt_bill_amt ba
inner join hbm_matter m on ba.matter_uno = m.matter_uno
inner join hbm_client c on m.client_uno = c.client_uno
inner join hbm_persnl p on c.resp_empl_uno = p.empl_uno
where p.login = #login
and c.status_code = 'C'
and ba.tran_type in ('CR', 'RA')
group by ba.payr_client_uno
order by ba.payr_client_uno
--Obtain list of Transaction Date and Amount for the Transaction
select
b.client_uno
, ba.tran_date
, ba.tc_total_amt
from blt_bill_amt ba
inner join #Bills b on ba.row_uno = b.row_uno
Not quite sure what was going on but seems the Temp Tables were not acting right at all. Ideally i would have 246 rows of data, but with the previous query syntax it would produce from 400-5000 rows of data, obviously duplications on data.
I think you can use ranking to achieve what you want:
WITH ranked AS (
SELECT
client_uno = ba.payr_client_uno,
ba.tran_date,
be.tc_total_amt,
rnk = ROW_NUMBER() OVER (
PARTITION BY ba.payr_client_uno
ORDER BY ba.tran_uno DESC
)
FROM blt_bill_amt ba
INNER JOIN hbm_matter m ON ba.matter_uno = m.matter_uno
INNER JOIN hbm_client c ON m.client_uno = c.client_uno
INNER JOIN hbm_persnl p ON c.resp_empl_uno = p.empl_uno
WHERE p.login = #login
AND c.status_code = 'C'
AND ba.tran_type IN ('CR', 'RA')
)
SELECT
client_uno,
tran_date,
tc_total_amt
FROM ranked
WHERE rnk = 1
ORDER BY client_uno
Useful reading:
Ranking Functions (Transact-SQL)
ROW_NUMBER (Transact-SQL)
WITH common_table_expression (Transact-SQL)
Using Common Table Expressions
I have 2 queries I got from the help from this site and they are:
SELECT gr.g_name, (DATEDIFF(d, r.res_checkout_date, r.res_checkin_date) * pp.rate ) + ISNULL(i.inv_amount, 0)
FROM guest_reservation gr LEFT OUTER JOIN invoice i ON gr.confirm_no = i.confirm_no
JOIN reservation r ON gr.confirm_no = r.confirm_no
JOIN price_plan pp ON r.price_plan = pp.price_plan;
SELECT g.g_name, DATEDIFF(d, r.res_checkin_date, r.res_checkout_date)*p.rate+coalesce(i.inv_amount, 0) as Amount
FROM reservation as r INNER JOIN priceplan as p
ON r.price_plan = p.price_plan
INNER JOIN guest_reservation as g
ON r.confirm_no = g.confirm_no
LEFT OUTER JOIN invoice as i
ON r.confirm_no = i.confirm_no;
All the tables have the following data associated with them:
The guest reservation table has the following columns with data:
(confirm_no, agent_id, g_name, g_phone)
The reservation table has the following columns with data:
(confirm_no, credit_card_no, res_checkin_date, res_checkout_date,
default_villa_type, price_plan)
I need to somehow add items that a guest has ordered from the dining_order table (which is linked with the r_confirm_no from the dining_order table equaling the confirm_no from the reservation table), the items price must be taken from the dining_menu table (where dining_order.item equals dining_menu.item) and added into the above query.
The associated tables with the new information I need to add is:
The invoice table has the following columns with data:
(inv_no, inv_date, inv_amount, confirm_no).
The price plan table has the following columns with data:
(price_plan, rate, default_villa_type, bed_type)
This is untested but you could use a subquery to sum the dining items for each guest and add that to the total. This is also an outer join as the guest might not have made use of the dining facilities.
SELECT gr.g_name, (DATEDIFF(d, r.res_checkout_date, r.res_checkin_date) * pp.rate ) + ISNULL(i.inv_amount, 0) + ISNULL(d.total_dining, 0)
FROM guest_reservation gr
LEFT OUTER JOIN invoice i ON gr.confirm_no = i.confirm_no
JOIN reservation r ON gr.confirm_no = r.confirm_no
JOIN price_plan pp ON r.price_plan = pp.price_plan
LEFT OUTER JOIN (SELECT r_confirmation_no, SUM(price) AS total_dining
FROM dining_order do JOIN dining_menu dm ON do.item = dm.item
GROUP BY r_confirmation_no) AS d ON d.r_confirmation_no = r.confirm_no