Execute SQL Task in SSIS with Real-Time Scenarios

The Execute SQL Task in SSIS is used to run SQL queries, stored procedures, or DDL/DML commands against a database. It is one of the most commonly used tasks in ETL (Extract, Transform, Load) processes.

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Key Features of Execute SQL Task

1. Executes T-SQL, PL/SQL, or other SQL statements depending on the connection manager.

2. Can return single-row results, full result sets, or no results.

3. Supports parameterized queries (input/output parameters).

4. Can be used for:

   • Data manipulation (INSERT, UPDATE, DELETE)

   • Calling stored procedures

   • Creating/altering database objects (tables, views, etc.)

   • Logging and auditing ETL operations

   • Truncating tables before loading new data

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Real-Time Scenarios for Execute SQL Task

1. Truncating a Staging Table Before Data Load

Scenario: Before loading new data into a staging table, you need to clear old records.
Solution: Use an Execute SQL Task to run TRUNCATE TABLE or DELETE.

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TRUNCATE TABLE Staging.Customers;

Configuration:

• Connection: OLE DB/SQL Server Connection Manager

• SQL Statement: TRUNCATE TABLE Staging.Customers;

• Execution: Runs before the Data Flow Task that loads new data.

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2. Logging ETL Process Start/End Times

Scenario: Track when an SSIS package starts and completes.
Solution: Insert timestamps into a logging table.

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INSERT INTO ETL.AuditLog (PackageName, StartTime, Status) 
VALUES (?, GETDATE(), 'Started');

Configuration:

• Connection: SQL Server Connection Manager

• SQL Statement: Parameterized query (using ? or named parameters).

• Parameters: Map PackageName from an SSIS variable.

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3. Calling a Stored Procedure for Data Processing

Scenario: A stored procedure aggregates data before loading into a data warehouse.
Solution: Use Execute SQL Task to call the SP.

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EXEC dbo.ProcessSalesData @Year = 2023, @Month = 12;

Configuration:

• Connection: ADO.NET or OLE DB Connection Manager

• SQL Statement: EXEC dbo.ProcessSalesData @Year = ?, @Month = ?

• Parameters: Map @Year and @Month from SSIS variables.