Ssis update rows

Friday, June 29, AM. First you need to know which records are new and which ones needs to be updated, you can copy the logic from the link that you've provided using LEFT JOIN with Conditional Split will do the trick. To overcome this, redirect all the update rows to a temporary table in the destination database OLEDB Destination then execute an sql script that contains an SQL Update statement joins the actual table with temporary table with the key.

Hi All, Thanks for the reply. Here is my implementations. Is that okay? Control Flow: Tamilselvan. Thursday, June 28, PM. Here are the Data Flows: Is there any better ways right now for sample data of about 2 Lakh ie records it takes 13 to 27 seconds?.

Thanks Koen.. Tamilselvan Great, glad to hear it worked. So we compare equivalent source and destination columns to find non-match data. This is the expression used to find match data in screenshot below:. DepartmentID smallint.

After running the package you will see records will be redirected to data path as implemented:. Select all columns from Source and Destination tables in the merge join transform, and rename them as picture below shows add Source or Destination prefix to each column 8- Add a Conditional Split transformation and write two expressions below to find out new records, and removed records. Also rename default output as existing records and screenshot below shows Expressions used in this sample are very easy and simply find record changes.

For example expression below:! Create a connection to destination database, and write script below to delete records by input department ID: delete from dbo. Testing the solution : Here is data rows from source table And data rows from destination table Yellow records are new records Pink records are updated records Green record is deleted record in destination table After running the package you will see records will be redirected to data path as implemented: And destination table will pick changes:.

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I have a simple data flow that copies a subset of data from a source table on an internal database to a table on web-facing database. However, I'm unsure how to approach this. My instinct is to craft an SQL Statement that runs against each Unique ID for every row successfully transferred as part of that package - is there a simple approach to this i.

If you want to keep all the components within the current Data Flow Task, then you could add a Multicast within this Data Flow Task, with one output to the destination and the other output to an OLE DB Command that updates the source records based on the rows transferred to the destination.

However the Multicast transformation is a synchronous transformation, thus the records will go to both outputs simultaneously and this could lead to blocking or deadlock issues. A simpler approach may be to just add an Execute SQL Task after the Data Flow Task that updates the source table based on the transferred records from the destination table.

For the update, you'll want to do a set-based update, such as the SQL statement below. To only perform this update based on rows transferred within that package execution, a Multicast could used in the Data Flow Task to output only the unique IDs to a staging table, and then update the source based on the matching IDs in the staging table in the subsequent Execute SQL Task.

Just make sure to add a step to truncate the staging table in the beginning of the package to clear data from the prior execution. With T-SQL there's an output inserted clause which would be really helpful in this scenario. Sign up using Email and Password. Post as a guest Name. Email Required, but never shown.

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