Does any one how can I only sync the new records from table A to table B in SSIS?
I have 2 tables which table A and table B. Table A will be update time to time from user. However, records from table B is sync from table A every 30 mins. I have created a SSIS job to do the sync, see below for more details:
I have an issue here, every times when I'm ruining the job, it will copy all data from table A and insert into table B (this causing duplicate records had been insert). Any way that I can set the job so that it will only sync the new records into table B?
I would use a MERGE statement into an execute SQL Task.
Please review some examples about how to use the merge command:
Using MERGE in SQL Server to insert, update and delete at the same time
The MERGE Statement in SQL Server 2008
Kind Regards,
Paul
Related
I need to give my customer some sample data of each table in the dbase. I have duplicated my dbase, and now in the duplicate dbase I want to delete all records in all tables, except for 1 record. It doesn't matter which record remains. Then I will do an export for them without a million records.
What is the query I need to run to do this? Each table can have different primary keys.
I am using mysql 5.7.34 command line.
I'm working on automating the process of building a database. This is a database that needs daily updates after one build.
This database has 51 tables, divided into 3 schemas (there are 17 tables in each schema), and has a total of 20 million records, each record with a PK of manage_number .
I need to update 2000~3000 records every day, but I don't know which method to use.
Make a table for PK indexing
This is a method to separately create a table with a PK and a table name with a PK in the same database. To create a table with metadata about which table the manage_number is stored in. Currently, this methodology is applied. The problem is that the build time takes 5-6 times longer than before (increased from 2 minutes to 12 minutes).
Multi-table update query
This is how to perform update query on 17 tables with the same schema. However, in this case, the load in the FROM clause is expected to be very high, and I think it will be a burden on the server.
Update query may looks like below.
UPDATE table1, table2, table3, ..., table17
SET data_here
WHERE manage_number = 'TARGET_NUMBER';
Please share which way is better, or if you have a better way.
Thank you.
I have a data flow task in which I am reading data from sql server table A (id, order_no, amount).
I want to join this result to table B (order_no, amount) located on another sql server, ON tableA.order_no = table B.order_no and perform a addition of the both amounts and store it back into table B.
I have connection manager setup for both sql server databases.
Which transform can I use to perform this operation?
This dtsx design may help:
Create a temp table on server B temp db via Execute SQL Task.
Create a temp table and load table A data into via a Data Flow Task.
Create another Execute SQL Task to join table B to the newly
created temp table on order_no and make a tableB.amount +
temptable.amount as [Added Amounts] column.
You did not specify if the new column will be needed in table B or you will need to update table B's amounts. Pending this the code will be adjusted.
This process overall will eliminate db overhead.
Good morning.
I have a table on MySQL DataBase.
In this table there are 5 robots that can write like 10 record each per hour.
Every 3 month a script that I have created, make a copy of the table and then delete all the table entries (In this way I can keep the IDs in a certain order).
My question is.
That are two different statement:
CREATE TABLE omologationResult_{date} AS SELECT * FROM omologationResult
DELETE FROM omologationResult
if the script is going to copy the table at point 0, and a record will be added from the robots, there's no problem, because the SQL statement starts from the lowest ID 'till the end. But if the script is going to delete the table and the robot is writing in it. What will happen? I lose the last robot record?
And if it's true. What can I do to make a copy of the table and then remove only the data that I've copied?
Thank you
Yes, this is not a safe operation because it's not atomic. It's quite possible for another thread to insert values into that table in between your CREATE .. SELECT and the DELETE. One option you have is to use a multi table DELETE
CREATE TABLE omologationResult_{date} AS SELECT * FROM omologationResult;
DELETE omologationResult FROM omologationResult
INNER JOIN omologationResult_{date} ON omologationResult_{date}.id = omologationResult.id
Will ensure that only items that exist in both tables have been deleted from omologationResult
the scripts i've been working with in SQL work with close to 40,000 records and i've noticed a huge increase in execution time for when i use an UPDATE command
in 2 tables that have like 10 fields in them each, INSERT executes quicker for both combined than this UPDATE command
UPADTE table1
INNER JOIN table2 ON table1.primarykey = table2.primarykey
SET table1.code = table2.code
really what the UPDATE is doing is copying the code from one table to another where the identical records exists, this is because table1 is a staging table between 2 databases while table2 is a possessing table to insert staging table's data across multiple tables, both tables have the same number of record which is about 40,000
now to me UPDATE should be executing a lot quicker, considering it's only connecting 2 identical tables and inserting data for 1 field it should be running quicker than 2 INSERTS where 40,000 records are being created over 10 fields (so in other words, inserting 800,000 pieces of data) and i'm running the queries in a SQL console windows to avoid php timeouts
is UPDATE somehow more resource hungry than INSERT and is there any way to get it to go faster (apart from changing the fact that i use a separate table for processing, the staging table updates frequently so i copy the data like a snapshot and work with that, the code field is NULL to begin with so i only copy over records with a NULL code meaning records where code is not NULLhave already been worked with)
Is that UPDATE command the actual SQL? Because you need a WHERE clause to avoid updating every record in the table...
Also, INSERT doesn't first need to find the record to update from 2 joined tables.