I want to update the STATUS column based on min date in my table.
For example – If minimum BOOKING_DATE of any RecieptID is below to 2015-10-01, then Status of that RecieptID should be 0 for all records pertaining to dedicated RecieptID So I need an output in this way.
I am trying to write a query that will retrieve all students of a particular class and also any rows in HomeworkLogLine if they exist (but return null if there is no row). I thought this should be a relatively simple LEFT join but I've tried every possible combination of joins but it's not working.
SELECT Student.StudentSurname + ', ' + Student.StudentForename AS Fullname, HomeworkLogLine.HomeworkLogLineTimestamp, HomeworkLog.HomeworkLogDescription, ROW_NUMBER() OVER (PARTITION BY HomeworkLogLine.HomeworkLogLineStudentID ORDER BY
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It's only returning two rows (the students where they have a row in the HomeworkLogLine table).
I have following query which is created dynamically as -
UPDATE BUILDTABLE SET BUILD_ID = '984137' WHERE SET_NUMBER = '1889147436' AND SEND_DATE = '1941-03-04'; UPDATE BUILDTABLE SET BUILD_ID = '984137' WHERE SET_NUMBER = '1115509374' AND SEND_DATE = '1991-09-01'; UPDATE BUILDTABLE SET BUILD_ID = '984137' WHERE SET_NUMBER = '1515579671' AND SEND_DATE = '1941-05-24'; UPDATE BUILDTABLE SET BUILD_ID = '984137' WHERE SET_NUMBER = '1795509670' AND SEND_DATE = '1958-01-14'; UPDATE BUILDTABLE SET BUILD_ID = '984137' WHERE SET_NUMBER = '1915508672' AND SEND_DATE = '1961-09-07';
Here till " UPDATE BUILDTABLE SET BUILD_ID = '984137'" is the same clause for all queries, but "where" condition is different for all queries. I have to update more than 500 UPDATE statements(like above) in one call. Currently I am concatenating all the queries in string Builder which is time consuming.I want to increase performance of application.Any other class like BulkCopy ?
updating the # of Payer from below query to match with the # of rows for each payer record. See the Current and desired results below. The query is currently counting the # of rows for all payers together and updating 3 as # of payers. I need it to count # of rows for each payer like shown inDesired result below. It should be showing 1 for first payer and 2 for 2nd & 3rd based on # of times each payer is repeated..
SELECT b.FILING_IND, b.PYR_CD, b. PAYER_ID, b. PAYER_NAME,a.CLAIM_ICN, (Select Count(*) From MMITCGTD.MMIT_CLAIM a, MMITCGTD.MMIT_TPL b , MMITCGTD.MMIT_ATTACHMENT_LINK c where a.CLAIM_ICN_NU = c.CLAIM_ICN and b.TPL_TS = c.TPL_TS and a.CLAIM_TYPE_CD = 'X'
I have a table with 1 million records. I want to update only 400 records. The update statement is provided by a 3rd party vendor. Once i run the update statement it will update all the 400 records. Once the table is updated the users will validate the table
if the update is successful or not. What i'm looking for is:
1) Is there a way to identify what records were updated. 2) If the update done is not what the users wanted i need to undo and bring back the 400 records to their previous values.
I have a table where table row gets updated multiple times(each column will be filled) based on telephone call in data.
Initially, I have implemented after insert trigger on ROW level thinking that the whole row is inserted into table will all column values at a time. But the issue is all columns are values are not filled at once, but observed that while telephone call in data, there are multiple updates to the row (i.e multiple updates in the sense - column data in row is updated step by step),
I thought to implement after update trigger , but when it comes to the performance will be decreased for each and every hit while row update.
I need to implement after update trigger that should be fired on column level instead of Row level to improve the performance?
Can we push the data for the above query in a physical table and create index to make the query fast rather than using the same set tables multiple times
I need to delete records from a table (Table1) which has a foreign key column in a related table (Table2).
Table1 columns are: table1Id; Name. Table2 columns include Table2.table1Id which is the foreign key to Table1.
What is the syntax to delete records from Table1 using Table1.Name='some name' and remove any records in Table2 that have Table2.table1Id equal to Table1.table1Id?
I have one table with many records in the table. Each time a record is entered the date the record was entered is also saved in the table. I need a query that will find all the missing records in the table. So if I have in my table:
ID Date Location 1 4/1/2015 bld1 2 4/2/2015 bld1 3 4/4/2015 bld1
I want to run a query like
Select Date, Location FROM [table] WHERE (Date Between '4/1/2015' and '4/4/2015') and (Location = bld1) WHERE Date not in (Select Date, Location FROM [table])
tblPayments (Contains the records of Payments we made)
ID DATE AMOUNT BANK ---------------------------------------------------------- 1 05/05/2015 5000 Natwest 2 05/05/2015 2000 Lloyds 3 05/06/2015 3500 Natwest 4 05/07/2015 4000 Natwest 5 05/08/2015 1500 Lloyds
tblReceipts (Contains the records of Receipts we received)
ID DATE AMOUNT BANK ---------------------------------------------------------- 1 05/06/2015 5000 Natwest 2 05/06/2015 2000 Lloyds 3 05/07/2015 3500 Natwest 4 05/07/2015 4000 Natwest 5 05/08/2015 1500 Lloyds
Now, I also have a blank table (tblBankStatement) which contain the following columns
ID DATE RECEIPT PAYMENT BANK -----------------------------------------------------------------------------
I want that when I execute the query, the query should INSERT the records to the New Table (tblBankStatement) from tblPayments and tblReceipts by Date Ordered in ascending way WHEREBank should be 'Natwest'.
Also the Amount Column Data in tblPayments should be Inserted into the Payment Column in tblBankStatement and the Amount Column Data in tblReceipts should be Inserted into the Receipt Column in tblBankStatement.
I have a scenario where I have to Update a table with date when there are new records in another table
For example:
I load ODS table with the data from a file in SSIS. the file has CustomerID and other columns.
Now, when there is new record for any customerID in Ods, then Update the dbo table with the most recent record for every CustomerID(i.e. update the date column in dbo for that customerID). Also Include an Identifier that relates back to the ODS table. How do I do this?
I am trying to update one table when records are inserted in another table.
I have added the following trigger to the table “ProdTr” and every time a record is added I want to update the field “Qty3” in the table “ActInf” with a value from the inserted record.
My problem appears to be that I am unable to fill the variables with values, and I cannot understand why it isn’t working, my code is:
ALTER trigger [dbo].[antall_liter] on [dbo].[ProdTr] for insert as begin declare @liter as decimal(28,6)
I would like to update the flag of the promotion ID should the promotion ID date range overlap with Promotion ID(All) Date Range. The general logic is as below.
Update TableName SET PromotionID Flag = 1 AND Reason = 'Overlap with row ID(Overlap row ID number)' Where EACH ROW(Except with Promotion ID ALL) Date Range Overlap with ROW(with promotion ID ALL) Date range
I have a table called ADSCHL which contains the school_code as Primary key and other two table as
RGDEGR(common field as SCHOOl_code) and RGENRl( Original_school_code) which are refrencing the ADSCHL. if a school_code will be updated both the table RGDEGR (school_code) and RGERNL ( original_schoolcode) has to be updated as well. I have been provided a new data that i have imported to SQL server using SSIS with table name as TESTCEP which has a column name school_code. I have been assigned a task to update the old school_code vale ( ADSCHL) with new school_code ( TESTCEP) and make sure the changes happen across all 3 tables.
I tried using Merge Update function not sure if this is going to work.
Update dbo.ADSCHL SET dbo.ADSCHL.SCHOOL_CODE = FD.SCHOOL_Code FROM dbo.ADSCHL AD INNER JOIN TESTCEP FD ON AD.SCHOOL_NAME = FD.School_Name
I am trying to update a large table which consists of 45 million records , it is taking more than 2 days to the update , below is my approach
1. The table has only one clustered index and no other indexes on the table. 2. I am updating in batches say 20000 record-wise. 3. Changed the recovery mode to bulk logged and auto-growth size is set to 300MB and there is enough space in my disk for transaction log .
Lets say we are executing this query below to retrieve each customer and the amount associated to a table
"INSERT INTO tblReceiptDue (Dealer, Amount) SELECT CustomerName, SUM(CASE WHEN VoucherType = 'Sales' then Outbound ELSE - Inbound END) AS AMOUNT from tblSaleStatementCustomer WHERE CustomerType = 'Dealer' GROUP BY CustomerName"
ID Flag TestDate Value Comment 111 2 12/15/2014 7.5 null 222 2 Null 10 received
Matrix_Current table could have 1 or multiple rows as below.
ID Flag TestDate Value Comment 111 2 01/26/2015 7.9 111 2 02/23/2015 7.9 111 2 04/07/2015 6.8 222 1 null 8 test comment 1 222 3 null 9 test comment 2
When I run below update
UPDATE AM SET M.Flag = MC.Flag, M.TestDate = MC.TestDate, M.Value = MC.Value, M.comment = MC.Comment FROM dbo.Matrix M inner join dbo.Matrix_Current MC on M.ID = MC.ID
Matrix table has value below:
ID Flag TestDate Value Comment 111 2 01/26/2015 7.9 222 1 Null 8 test comment 1
I want to update Matrix table from all row from Matrix_Current, final table would like below:
ID Flag TestDate Value Comment 111 2 04/07/2015 6.8 222 3 Null 9 test comment 2
I'm trying to pull all records from one table and just a single record from another. I have this join, (see below). It works ok, but the problem is if a blog record doesn't have a corresponding image record it doesn't return. The end result should be the blog record and a single corresponding image record. But always a blog record.
I have a table (let's call it MyTable) that consists of four fields:
Id, Source, FirstField, and SecondField, where Source only takes one of two values: Source1 and Source2. The records in this table look as follows:
Id Source FirstField Secondfield
1 Source1 Product 3 name Product 3 description
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I need to return, using 3 different T-SQL queries:
1) Products that exist only in Source2 (in red above) 2) Products that exist only in Source1 (in green above) 3) Products that exist both in Source1 and Source2 (in black above)
For 1) so far I've been doing something along the lines of SELECT * FROM MyTable WHERE Source=Source1 AND FirstField NOT IN (SELECT DISTINCT (FirstField) FROM MyTable WHERE Source=Source2)
I have read about INTERSECT and EXCEPT, but I am a little unclear if they could be applied in this case out of the box.
I want to update table2.message based on the criteria of table1.name. for example, all records named John will be updated with 'Msg1' in table 2.message. I am using MS SQL 2000 and below is the scenario.
table1 columns ID Name
table2 columns ID Message
Select a.Id, a.name, b.message from table1 a, table2 b where a.id =b.id
a.id a.name b.message 1 John Msg1 2 Steve Msg2 3 Scott Msg3 4 John NULL - update b.message to 'Msg1' 5 Steve NULL - update b.message to 'Msg2' 6 Scott NULL - update b.message to 'Msg3' 7 John NULL - update b.message to 'Msg1' 8 Steve NULL - update b.message to 'Msg2'
If i will update the record per name i am using the query below and i am pre-selecting all the existing names.
update table2 b set b.message=(Select top 1 b.message from table1 a, table2 b where a.id =b.id
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How to update this in bulk without preselecting all the names?
I wanted to update Catrgory coulmn of all records in the Master table with the Value of LastUpdate of the CategoryTable the where the ID of the both the table are same