SQL Server 2012 :: Select Rows With Sum Of Column From Joined Table?
May 2, 2015
I want to return all rows in table giftregistryitems with an additional column that holds the sum of column `amount` in table giftregistrypurchases for the respective item in table giftregistryitems.
What I tried, but what returns NULL for purchasedamount:
SELECT (SELECT SUM(amount) from giftregistrypurchases gps where registryid=gi.registryid AND gp.itemid=gps.itemid) as purchasedamount,*
FROM giftregistryitems gi
LEFT JOIN giftregistrypurchases gp on gp.registryid=gi.id
WHERE gi.registryid=2
How can I achieve what I need?
Here are my table definitions and data:
/****** Object: Table [dbo].[giftregistryitems] Script Date: 02-05-15 22:37:11 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[giftregistryitems](
[id] [int] IDENTITY(1,1) NOT NULL,
I want to return all rows in table giftregistryitems with an additional column that holds the sum of column `amount` in table giftregistrypurchases for the respective item in table giftregistryitems.
What I tried, but what returns NULL for purchasedamount:
SELECT (SELECT SUM(amount) from giftregistrypurchases gps where registryid=gi.registryid AND gp.itemid=gps.itemid) as purchasedamount,* FROM giftregistryitems gi LEFT JOIN giftregistrypurchases gp on gp.registryid=gi.id WHERE gi.registryid=2
How can I achieve what I need?
Here's my table definition and data:
/****** Object: Table [dbo].[giftregistryitems] Script Date: 02-05-15 22:37:11 ******/ SET ANSI_NULLS ON GO SET QUOTED_IDENTIFIER ON GO CREATE TABLE [dbo].[giftregistryitems]( [id] [int] IDENTITY(1,1) NOT NULL,
Given one table, Table1, with columns Key1 (int), Key2 (int), and Type (varchar)...
I would like to get the rows where Type is equal to 'TypeA' and Key2 is Null that do NOT have a corresponding row in the table where Type is equal to 'TypeB' and Key2 is equal to Key1 from another row
I would like to return only the row where Key1 = 4 because that row meets the criteria of Type='TypeA'/Key2=NULL and does not have a corresponding row with Type='TypeB'/Key1=Key2 from another row.
I have tried this and it doesn't work...
SELECT t1.Key1, t1.Key2, t1.Type FROM Table1 t1 WHERE t1.Key2 IS NULL AND t1.Type LIKE 'TypeA' AND t1.Key1 NOT IN (SELECT Key1 FROM Table1 t2 WHERE t1.Key1 = t2.Key2 AND t1.Key1 <> t2.Key1 AND t2.Type LIKE 'TypeB')
I have created a trigger that is set off every time a new item has been added to TableA.The trigger then inserts 4 rows into TableB that contains two columns (item, task type).
Each row will have the same item, but with a different task type.ie.
I have a query which returns all parts and labour lines for a particular work order. It returns all parts lines seperately, but the labour lines are repeated for each row. What I want to accomplish for a given work order, is a list of all the parts lines, followed underneath by a list of all labour lines.This is the code from the report:
select h.worknumber, --- Select parts lines and charges wp.description as [charges desc], case when wp.charge_to_cust = 1 then wp.sale_price
[code]...
For this example what I'd like to see is 5 lines here - the labour description and charge under charges description, unit price, qty and est_parts_sale etc, and of course, there could be more than 1 labour line.
I hope someone can answer this, I'm not even sure where to start looking for documentation on this. The SQL query I'm referencing is included at the bottom of this post.
I have a query with 3 select statements joined together like tables. It works great, except for the fact that I need to declare a variable and make it a table within two of those 3. The example is below. You'll see that I have three select statements made into tables A, B, and C, and that table A has a variable @years, which is a table.
This works when I just run table A by itself, but when I execute the entire query, I get an error about the "declare" keyword, and then some other errors near the word "as" and the ")" character. These are some of those errors that I find pretty meaningless that just mean I've really thrown something off.
So, am I not allowed to declare a variable within these SELECT tables that I'm creating and joining?
Thanks in advance, Andy
Select * from
(
declare @years table (years int);
insert into @years
select
CASE
WHEN month(getdate()) in (1) THEN year(getdate())-1
WHEN month(getdate()) in (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12) THEN year(getdate())
END
select
u.fullname
, sum(tx.Dm_Time) LastMonthBillhours
, sum(tx.Dm_Time)/((select dm_billabledays from dm_billabledays where Dm_Month = Month(GetDate()))*8) lasmosbillingpercentage
from
Dm_TimeEntry tx
join
systemuserbase u
on
(tx.owninguser = u.systemuserid)
where
Month(tx.Dm_Date) = Month(getdate())-1
and
year(dm_date) = (select years from @years)
and tx.dm_billable = 1
group by u.fullname
) as A
left outer join
(select
u.FullName
, sum(tx.Dm_Time) Billhours
, ((sum(tx.Dm_Time))
/
((day(getdate()) * ((5.0)/(7.0))) * 8)) perc
from
Dm_TimeEntry tx
join
systemuserbase u
on
(tx.owninguser = u.systemuserid)
where
tx.Dm_Billable = '1'
and
month(tx.Dm_Date) = month(GetDate())
and
year(tx.Dm_Date) = year(GetDate())
group by u.fullname) as B
on
A.Fullname = B.Fullname
Left Outer Join
(
select
u.fullname
, sum(tx.Dm_Time) TwomosagoBillhours
, sum(tx.Dm_Time)/((select dm_billabledays from dm_billabledays where Dm_Month = Month(GetDate()))*8) twomosagobillingpercentage
I want to return all rows in table giftregistryitems with an additional column that holds the sum of column `amount` in table giftregistrypurchases for the respective item in table giftregistryitems.
What I tried, but what returns NULL for purchasedamount, where I want purchasedamount to be the sum of the `amount` for THAT item, based on giftregistrypurchases.itemid=giftregistryitems.id:
SELECT (SELECT SUM(amount) from giftregistrypurchases gps where registryid=gi.registryid AND gp.itemid=gps.itemid) as purchasedamount,* FROM giftregistryitems gi LEFT JOIN giftregistrypurchases gp on gp.registryid=gi.id WHERE gi.registryid=2
How can I achieve what I need?
Here's my table definition and data:
USE [tt] GO /****** Object: Table [dbo].[giftregistry] Script Date: 09-05-15 11:15:18 ******/ SET ANSI_NULLS ON GO SET QUOTED_IDENTIFIER ON GO CREATE TABLE [dbo].[giftregistry]( [id] [int] IDENTITY(1,1) NOT NULL,
Can someone please help me with a better way to format the following query. This works, but I know it is hidious.
Code Snippet
select
convert(varchar, processed, 101) as Date, count(o.id) as [# Orders], sum(distinct a.runnercount) as [# Runners], sum(o.total) as [$ Gross], sum(o.fee) as [$ Fees], (sum(o.total)-sum(o.fee)) as [$ Net]
from [order] o join (select convert(varchar,processed,101) as date, count(*) as runnercount from orderitem oi inner join [order] o on o.id = oi.orderid where typeofextraid = 4 group by convert(varchar,processed,101)) a on convert(varchar,processed,101) = a.date
where statemented = @statemented group by convert(varchar, processed, 101) 2 tables: Order and OrderItem. I need the sum of a specific record type from the OrderItem table along with all the other aggregate columns group by day.
I have a query that produces unique rows. However, some of the unique rows have the column called testname that has the same test listed more than once. All I want to do is drop the older testname and keep the testdate column.
Select Distinct TestID, TestDate, TestName
From third.test
I want to keep testdate in the query....guessing I need to put in to a temp table then drop the oldest one somehow by doing a subquery using Select Max....
This is a followup to a previous question to a previous but in reverse of Find rows where value in column not found in another row
Given one table, Table1, with columns Key1 (int), Key2 (int), and Type (varchar)...
I would like to exclude any two rows where Type is equal to 'TypeA' and Key2 is Null that have a corresponding row in the table where Type is equal to 'TypeB' and Key2 is equal to Key1 from another row.
I would like to return all the rows except where Key=1 and Key=3 because those rows together meet the criteria of Type='TypeA'/Key2=NULL and does have a corresponding row with Type='TypeB'/Key1=Key2.
I got a sales cost and cost amount table for my budget. the sales cost table is getting updated with FOBB items which makes the total incorrect . the FOBB values needs to be moved from the sales cost column to the cost amount column. how can i do it with an SQL script.
I need to use Bulk insert statement for copying a table with 200 million rows to another table on the same server...the table has no primary key or identity column.... script for BULK INSERT ...
So my data column [EODPosting].[MatchDate] is defined as a DATE column. I am trying to SELECT from my table where [EODPosting].[MatchDate] is today's date.
Is this not working because GETDATE() is like a timestamp format? How can I get this to work to return those rows where [EODPosting].[MatchDate] is equal to today's date?
In a t-sql 2012 sql script, I have the following script, that only works for a few records since the value of TST.dbo.LockCombination.seq only contains the value or 1 in most cases. Basically for every join listed below, there should be 5 records where each record has a distinct seq value of 1, 2, 3, 4, and 5. Thus my goal is to determine how to add the missing rows to the TST.dbo.LockCombination where there are no rows for seq values of between 2 to 5. I would like to know how to insert the missing rows and then do the following update statement. Thus can you show me the sql on how to add the rows for at least one of the missing sequence numbers?
UDATE LKC SET LKC.combo = lockCombo2 FROM [LockerPopulation] A JOIN TST.dbo.School SCH ON A.schoolnumber = SCH.type JOIN TST.dbo.Locker LKR ON SCH.schoolID = LKR.schoolID AND A.lockerNumber = LKR.number JOIN TST.dbo.Lock LK ON LKR.lockID = LK.lockID JOIN TST.dbo.LockCombination LKC ON LK.lockID = LKC.lockID WHERE LKC.seq = 2
A normal select statement looks like the following:
select * from TST.dbo.Locker LKR JOIN TST.dbo.Lock LK ON LKR.lockID = LK.lockID JOIN TST.dbo.LockCombination LKC ON LK.lockID = LKC.lockID where LKR.number in (000,001,1237)
In case you need the ddl statements for the tables affected here are the ddl statements:
CREATE TABLE [dbo].[Locker]( [lockerID] [int] IDENTITY(1,1) NOT FOR REPLICATION NOT NULL, [schoolID] [int] NOT NULL, [number] [varchar](10) NOT NULL, [serialNumber] [varchar](20) NULL, [type] [varchar](3) NULL, [locationID] [int] NULL,
I am finding it difficult to find an example that allows for insertion of additional rows into a table, without dropping the table I'm inserting into. Or inserting specific values. Like this example..
[URL] ....
I have 6 table I am formatting the data to conform to the final table as I'm inserting it into, but none of these examples gives me the example needed. I am using SQL 2012.
<code> SELECT CONVERT(VARCHAR(50),[FName]) + ' ' + CONVERT(VARCHAR(50),[LName]) AS [CustName] ,CAST('ALARMCOM' as nvarchar(8)) as VendorName ,CONVERT(VARCHAR(25),[CUSTOMER_CS_ACCOUNT_NUMBER]) AS [Cust_ID] ,CONVERT(VARCHAR(40),[Charge_Description])as [ChargeType] ,CASE
I want to create the following scenario. I have a table that stores employees working on projects and their project hours by week, but now I also need a running total per week for each of those projects. For example take a look below:
EmployeeID, Project, Sunday, Monday, Tuesday,....Saturday, ProjectHours, TotalProjectHoursPerWeek(this is the column I am trying to derive), FiscalWeek
Correlated Subquery: SELECT EmployeeID,Project, Sunday, Monday,....Saturday, ProjectHours, SELECT(SUM(ProjectHours) FROM dbo.TableABC ap GROUP BY FiscalWeek), FROM dbo.TableABC a
I got this to work one time before, but now I am getting the following error:
Subquery returned more than 1 value. This is not permitted when the subquery follows =, !=, <, <= , >, >= or when the subquery is used as an expression.
I have resulting rows from a query similar to the following:
The data is coming from a single table that contains only one coverage code column and one coverage code date, but the end user wants the two coverage code types and dates combined into a single row. So the SELECT looks something like this:
SELECT [Employee ID] = emp.employee_id, [Coverage Code 1] = enr.coverage_code, [Coverage Date 1] = enr.coverage_date, [Coverage Code 2] = case when enr.product_type = 'Accident.Accident' then enr.coverage_code else NULL end,
[Code] ....
I basically want to merge the like Employee ID's together into a single row like the following:
I know I have done this before and it is probably pretty simple.
I have a specific variation on the standard 'Column Invalid' question: I have this query that works fine:
SELECT vd.Question , csq.Q# , csq.Q_Sort , csq.Q_SubSort , AVG(CAST(vd.Response AS FLOAT)) AS AvgC , vd.RType
[Code] ....
When I add this second average column like this:
SELECT vd.Question , csq.Q# , csq.Q_Sort , csq.Q_SubSort , AVG(CAST(vd.Response AS FLOAT)) AS AvgC ,
[Code] ....
I get the error: Column 'dbo.vwData.Response' is invalid in the select list because it is not contained in either an aggregate function or the GROUP BY clause.
Clearly things are in the right place before the change, so I can only assume that the OVER clause is my problem. Is this just not possible?
I am trying to use a stored procedure to update a column in a sql table using the value from a variable table I getting errors because my syntax is not correct. I think table aliases are not allowed in UPDATE statements.
This is my statement:
UPDATE [dbo].[sessions_teams] stc SET stc.[Talks] = fmt.found_talks_type FROM @Find_Missing_Talks fmt WHERE stc.sessionid IN (SELECT sessionid FROM @Find_Missing_Talks) AND stc.coupleid IN (SELECT coupleid FROM @Find_Missing_Talks)
I have a master table and i need to import the rows into the parent and child table.
Master table name is Flatfile_Inventory Parent Table name is INVENTORY Child Tables name are INVENTORY_AMOUNT,INVENTORY_DETAILS,INVENTORY_VEHICLE, Error details will be goes to LOG_INVENTORY_ERROR
I have 4 duplicate rows in the Flatfile_Inventory which i have already inserted in the Parent and child table.
Again when i run the query using stored procedure,its tells that all the 4 rows are duplicate and will move to the Log_Inventory_Error.
I need is if i have the duplicate rows in the flatfile_Inventory when i start inserting into the parent and child table the already inserted row have the unique ID i must identify it and delete that row in the both parent and chlid table.And latest row must get inserted into the Parent and child table from Flatfile_Inventory.
SELECT TOP (100) PERCENT dbo.Filteredfs_franchise.fs_franchiseid AS FranchiseId, dbo.Filteredfs_franchise.fs_brandidname AS Brand, dbo.Filteredfs_franchise.fs_franchisetypename AS [Franchise Type], dbo.Filteredfs_franchise.fs_franchisenumber AS [Franchise Number], dbo.Filteredfs_franchise.fs_transactiontypename AS [Transaction Type], dbo.Filteredfs_franchise.fs_franchisestatusname AS [Status Code],
[Code] ....
I need to pivot this so I can get one row per franchiseID and multiple columns for [Franchisee Name Entity] and [Franchise Name Individual]. Each [Franchisee Name Entity] and [Franchise Name Individual] has associated percentage of ownership.
This has to be dynamic, because each FranchiseID can have anywhere from 1 to 12 respective owners and those can be any combination of of Entity and Individual. Please, see the attached example for Franchise Number 129 (that one would have 6 additional columns because there are 3 Individual owners with 1 respective Percentage of ownership).
The question is how do I PIVOT and preserve the percentage of ownership?
