How to clean database log in Microsoft Dynamics 365 F&SC

Deepak Singh

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Introduction

Clients consistently require periodic cleanup of the database logs, as these logs accumulate significant data over time, consuming substantial storage space and ultimately slowing down system performance. So this cleanup routine lets you delete database logs as you require. You can delete logs for specific tables, delete specific types of database logs, or delete logs based on the date and time when they were created.

Relevance of Database Log Clean up

1. Performance Optimization:

Regular cleanup of logs helps in maintaining optimal system performance by reducing the size of the database and preventing unnecessary data accumulation.

2. Compliance and Security:

Ensuring that only necessary logs are retained helps in complying with data retention policies and enhances security by minimizing the risk of sensitive data exposure.

3. Efficient Resource Management:

By cleaning up logs, you free up valuable storage space and resources, which can be utilized for other critical business operations.

4. System Maintenance:

Regular log cleanup is part of good system maintenance practices, ensuring that the system runs smoothly and efficiently

Configuration

1. Go to System administration > Inquiries > Database > Database log > Clean up Log

2. Choose the method to select the logs that need to be deleted. You can filter logs based on:

Table ID: Specify the table ID that the logs refer to.
Log Type: Select the type of log (e.g., insert, update, delete).
Creation Date and Time: Filter logs based on when they were created.

Process to clean up the log

1. Below SS is the database log created during the period of business processes. In this example we will delete these database log history for the type of change Insert only.

Based on current date (i.e. 25-08-2024) Clean up log filter will be set and run.

Database log Date: 26-07-2024

Today's Date (Current Date): 25-08-2024

Clean up log filter date: (LessThanDate(-29))

Note: Above filter will consider the date 26-07-2024 and older on which database log is created (25/08/2024 - 26/07/2024 -1 = 29 days (today's date is excluded))