SQL Server 2012 :: Get Rows And Sum In 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'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,
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, 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,
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 ...
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
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 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 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?
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 table with PO#,Days_to_travel, and Days_warehouse fields. I take the distinct Days_in_warehouse values in the table and insert them into a temp table. I want a script that will insert all of the values in the Days_in_warehouse field from the temp table into the Days_in_warehouse_batch row in table 1 by PO# duplicating the PO records until all of the POs have a record per distinct value.
Example:
Temp table: (Contains only one field with all distinct values in table 1)
The objective is to identify orders where an order fee has been applied incorrectly. I have multiple orders per customer, my table contains an orderID and a customerID. Currently if the customer places additional orders before the previous orders have been closed/cancelled, then additional fees are being applied.
Let's say I'm comparing order #1 to order #2. I need to identify these rows where the following is true:-
The CustID is the same.
Order #2 has a more recent order date.
Order #2 has a FeeDate Before the CancelledDate of Order #1 (or Order #1 has no cancellation date).
So in the table the orderID:2835692 of CustID: 24643 has a valid order fee. But all the subsequently placed orders have fees which were applied before the first order was cancelled and so I want to update the FeeInvalid column with a 'Y'. The first fee will always be valid.
I think I understand why the code I am trying doesn't achieve the result I want but I can't figure out how to write it correctly. Below is one example of code I've tried and also code to create the table and insert some test data.
update t1 SET FeeInvalid = 'Y' FROM MockData t1 Join MockData t2 on t1.CustID = t2.CustID WHERE t1.CustID = t2.CustID AND t2.OrderDate > t1.OrderDate AND t2.FeeDate > t1.CancelledDate CREATE TABLE [dbo].[MockData]( [OrderID] [float] NULL,
We currently have an application whereby the user will come along sign up add some information about them, choose what interests / hobbies they're in to and then click save.After completing the sigh up they're able to search for other individuals within locations (look at this functionality as a dating site) We currently have a stored procedure whereby when the user clicks Advance Search they fill in all the fields they filled in when signing up and when they click search we return all users that match the data the user has selected. This part is working correctly.
The issue im having is extending this stored procedure to take a user defined table type which has two columns UserId and ActivityId both columns are nullable.This user defined table type is referred to in two places, when the user signs up and when they do an advance search.When the user does an advance search he / she can choose a list of hobbies / interests this will then be passed in to the database and I will join on my User_Activities table to find the users that have the Activities passed in.When I join on this table I get duplicate records purely because one user may have 5 - 10 activities depending on how active the individual is. My current stored procedure looks like this
@Ambition int = null, @Body int = null, @Diet int = null, @Drinking int = null, @Ethnicity int = null, @Exercise int = null, @HeightFrom int = null,
[code]...
So my question is how can I select all users that match the criteria passed in, as well as finding the users that match the activities passed in (the user can either match all of them or a minimum of 1). Also my User_Activities has two columns UserId and ActivityId identical to the user defined table type
Here's my problem:I'm developing an ASP.NET 2.0 application that has a user select one or moreauto manufacturers from a listbox ("lstMakes"). Once they do this, anotherlistbox ("lstModels") should be filled with all matching models made by theselected manufacturers. If lstMakes was not multi-select, I'd have noproblem. But in this case it has to be multi-select. The database is SQLServer 2005 which does not accept arrays as parameters. I've been told thatI have to create an XML document that will act as a filtered Manufacturerstable that I can join to my Models table in my stored procedure. Problem isI don't have the foggiest idea how to do this. I've seen some examples thatjust leave me scratching my head so I was hoping someone could look at whatI'm trying to do and show me how to do this. Thanks!
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 am working on a model where I have a sales fact table. Each fact record has four different customer fields (ship- to, sold-to, payer, and bill-to customer). I have one customer dimension table that joins to the sales fact table four times (once for each of the customer fields above). When viewing the data in Excel, I would like to have four hierarchies (ship -to, sold-to, payer, and bill-to customer) within Customer.
Is there a way to build hierarchies within my Customer dimension based on the same Customer table? What I want is to view the data in Excel and see the Customer dimension. Within Customer, I want four hierarchies.
I am trying to run queries on a table (table has zero rows). Inspite of giving 0 rows returned the query keeps on running and I have to cancel it. I tried inserting a dummy row into the table but even the insert operation is taking too long.Every query which I hit on the table just keeps on running without giving any result.
But this is not the case with other tables in the database.They are all running fine giving proper results. But this one table is behaving funny.
What is the threshold that warrants the need for creating an index on a table. I have a system with a TABLE that has only 500 rows, very static, but accessed many many times. The cardinality from the statistics of Actual vs. Estimate rows is off by only 5 rows. I have all clustered index scans. What I need to be looking for as I tune this DB. I am going through every stored procedure to finely tune the DB I am supporting.
There is a valuable script out there that will take the rows from a table and display INSERT STATEMENTS.
Good thing is this script converts the data to HEXADECIMAL ( or some other ) and we don't have to worry about dealing with apostrophies embedded in varchar fields.
I have a table with almost a million rows, although it's quite slim with just ID, date, userID, JobID etc.
Now I want to the ability to add comments to some (probably less than 1%) of those lines.
The question is whether to create a separate comments table to join to it, or to create a comments field within the existing table? The comments field would obviously default to NULL, so wouldn't bloat the table unnecessarily if I add that field (right?), and would always be selected with the row from that table, so I'm leaning towards the latter alternative.
I run the following statement and it will not update beyond 7 million plus rows and I have about 38 million to complete. I keep checking updated row counts and after 1/2 day it's still the same so I know something is wrong because it was rolling through no problem when I initiated it. I need to complete ASAP so it's adding to my frustration. The 'Acct_Num_CH' field is an encrypted field (fyi).
SET rowcount 10000 UPDATE [dbo].[CC_Info_T] SET [Acct_Num_CH] = 'ayIWt6C8sgimC6t61EJ9d8BB3+bfIZ8v' WHERE [Acct_Num_CH] IS NOT NULL WHILE @@ROWCOUNT > 0 BEGIN SET rowcount 10000 UPDATE [dbo].[CC_Info_T] SET [Acct_Num_CH] = 'ayIWt6C8sgimC6t61EJ9d8BB3+bfIZ8v' WHERE [Acct_Num_CH] IS NOT NULL END SET rowcount 0
In my ETL job I would like to truncate stg table but before truncating stging table, I want to make sure that all the records are inserted in the data model. The sample is as below
create table #stg ( CreateID int, Name nvarchar(10) ) insert into #stg select 1, 'a' union all select 2, 'b' union all
[Code] ....
How can I check among these tables and make sure that all values are loaded into the data model and the staging table can be truncated.
I have deleted nearly 30 million rows from a table. But however when I used the sp_spaceused command to calculate the data occupied by the table I don't see any difference in the data size of the table. In fact the data has increased to few MBs after the deletion, but not much.
Ok here goes. I have 3 tables, one holds case info, the 2nd holds possible outcome on the charges, and they're joined on a 3rd table (CaseOutComes). With me so far? Easy stuff, now for the hard part. Since there's a very common possiblitly that the Case has multiple charges, we need to track those, and therefore, display them on a datagrid or some other control. I want the user to be able to edit the info and have X number of dropdowns pertaining to how many ever charges are on the case. I can get the query to return the rows no sweat, but ...merging them into 1 record (1 row) with mutiple drops is seeming impossible -- I thought about using a placeholder and added the controls that way, but it was not in agreement with what I was trying to tell it . Any ideas on how to attack this?
I want to update the startdate column (for all rows) so that when period is 0 then the new value is a hardcoded value (say '01-Dec-2000') but for all other rows it takes the value in the enddate column for the row of the previous column (with the same freq)
ie the startdate column for period 1 takes the enddate value for period 0 and so on for a particular freq
create table #periods (period int , startdate datetime , [enddate] datetime , freq int) insert #periods ( period , startdate , enddate , freq) select 0 , '01-Jan-1900' , '31-Jan-2001' , 1 union all select 1 , '01-Jan-1900' , '28-Feb-2001' , 1 union all select 2 , '01-Jan-1900' , '31-Mar-2001' , 1 union all select 3 , '01-Jan-1900' , '30-Apr-2001' , 1 union all select 4 , '01-Jan-1900' , '31-May-2001' , 1 union all select 0 , '01-Jan-1900' , '31-Jan-2002' , 3 union all select 1 , '01-Jan-1900' , '28-Feb-2002' , 3 union all select 2 , '01-Jan-1900' , '31-Mar-2002' , 3 union all select 3 , '01-Jan-1900' , '30-Apr-2002' , 3 union all select 4 , '01-Jan-1900' , '31-May-2002' , 3
/* I know I need a case statement to test for column 0 and to join the table on itself and have put something together but it fails for column 0 and updates to NULL - I think it must be to do with the join ??
This is what I've got so far :
UPDATE PA1 SET PA1.Startdate = CASE WHEN PA2.period = 0 THEN 2000-12-01 00:00:00.000 ELSE PA1.Enddate END FROM #periods AS PA1 JOIN #periods AS PA2 ON PA1.Freq = PA2.Freq AND PA1.Period = PA2.Period + 1
