How do I compare two data tables in SSIS?

How do I compare two data tables in SSIS?

two Sort transformations, as Merge Join transformation needs sorted input; I guess you need to match records using ID, so this would be a sort criteria. one Merge Join transformation to connect both (left and right) data flows. one Conditional Split transformation to detect if there are correct statuses in your tables.

What is Oledb command in SSIS?

The OLE DB Command transformation runs an SQL statement for each row in a data flow. For example, you can run an SQL statement that inserts, updates, or deletes rows in a database table.

What is a merge join in SSIS?

SSIS merge Join is one of the component of SSIS, available in toolbox. The Merge Join Transformation in SSIS is used to perform SQL Joins such as Inner Join, Left Outer Join, Full Outer Join, and Right Outer Join in SQL Server Integration Services. The Merge Join Transformation in SSIS will only work with Sorted data.

How to compare two tables in SSIs ( SQL Server )?

I tried to use “Conditional Split” but it looks like it only takes one table as input and not two. I want to compare STATUS field in both tables. If Status in TABLE1 is “Pending” and in TABLE2 is “Open” then insert this record in TABLE3.

How to find data differences between two tables in SQL?

Here the source data flow where the OLE DB sources are merged using the primary key (PK) and FIELD_NAME as Join Keys (see Fig.2). Fig 2. The Merge Join task for verification (initial version). The joined records are analyzed in the Conditional Split task that compares the FIELD_VALUE data from both joined records (see Fig.3).

Which is more transparent SSIs or T-SQL?

The SSIS based approach is simpler and more transparent. The SSIS package is more productive in processing of large tables than the T-SQL implementation. To verify the data of different data types the dynamic T-SQL scripts should be applied consistently to each of these types.

Which is easier to debug SSIs or T SQL?

The T-SQL implementation is based on complicated dynamic SQL statements, rather difficult in development and debugging. The SSIS based approach is simpler and more transparent. The SSIS package is more productive in processing of large tables than the T-SQL implementation.