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In the world of data integration and transformation, Extract, Transform, Load (ETL) processes are critical. An essential aspect of ETL is logging, which facilitates debugging, auditing, and performance tuning among other things. This blog post will discuss how to implement ETL logging frameworks in SQL Server Integration Services (SSIS), using technologies including SQL Server 2016, SQL Server 2017, MySQL 5.7, DB2 11.1, and Azure SQL.

The first step to implementing an ETL logging framework in SSIS is to understand the built-in logging capabilities of SSIS. SSIS has a wide range of events that can be logged, such as OnError, OnWarning, and OnInformation. You can also choose different log providers such as text files, SQL Server, or XML files.

To enable logging in SSIS, one would typically use the 'Log Events' tab in the SSIS package. An example of enabling logging for an OnError event in SQL Server 2017 is shown below:

USE [SSISDB];
EXEC [catalog].[configure_logging] @operation_id, @logging_level = 2;

The above T-SQL code sets the logging level to 2, which logs errors, warnings, and information messages. A similar approach can be used in Azure SQL to enable logging for SSIS packages.

While the built-in logging features of SSIS can handle most scenarios, there might be cases where you need a more customized logging framework. For instance, you might want to log certain events to a MySQL database. Below is an example of how you could create a logging table in MySQL:

CREATE TABLE `ETL_Log` (
 `LogID` int(11) NOT NULL AUTO_INCREMENT,
 `PackageName` varchar(255) DEFAULT NULL,
 `Event` varchar(255) DEFAULT NULL,
 `Message` text,
 `LoggedTime` datetime DEFAULT NULL,
 PRIMARY KEY (`LogID`)
) ENGINE=InnoDB;

In the above MySQL code, we are creating a table 'ETL_Log' with the columns 'LogID', 'PackageName', 'Event', 'Message' and 'LoggedTime'. These columns can be used to store the details of the ETL process.

For DB2 databases, one can leverage its flexible logging mechanisms to implement ETL logging. The following is an example of a logging table in DB2:

CREATE TABLE ETL_LOG (
 LOG_ID INTEGER NOT NULL GENERATED ALWAYS AS IDENTITY (START WITH 1, INCREMENT BY 1),
 PACKAGE_NAME VARCHAR(255) DEFAULT NULL,
 EVENT VARCHAR(255) DEFAULT NULL,
 MESSAGE VARCHAR(4000) DEFAULT NULL,
 LOGGED_TIME TIMESTAMP DEFAULT CURRENT TIMESTAMP,
 PRIMARY KEY (LOG_ID)
);

In conclusion, implementing ETL logging frameworks in SSIS can be achieved using different technologies like SQL Server 2016, SQL Server 2017, MySQL 5.7, DB2 11.1, and Azure SQL. By using the built-in logging capabilities of SSIS or by creating custom logging frameworks, it is possible to have robust, thorough, and tailored logging for your ETL processes. This will ensure that you are on top of any issues that might occur and can also help you optimize your ETL processes for better performance.