Track Change Data Method¶
Overview¶
Handle the track-changes of database for ingestion data element on various data identifiers
The idea captured¶
From the quora question how to track changes data accross multiple users
Tracking data changes and updates across multiple users in a MySQL database for a web application can be achieved through various methods. Here are some common approaches to implement data change tracking:
Timestamp Columns:Add timestamp columns to your database tables to record when a record was created or last modified. Database Triggers:Use database triggers to capture changes to specific tables. Triggers can be set up to execute custom scripts or store changes in separate audit tables.
Change Data Capture (CDC):Implement a Change Data Capture mechanism to capture and track changes to the database. CDC tools or techniques allow you to identify which records have been inserted, updated, or deleted.
Audit Tables:Create audit tables to store historical data or changes. Whenever a record is modified, a copy of the previous version can be stored in an audit table along with information about the change. Database Replication:Set up database replication and use a read-only replica to track changes. This helps separate the tracking functionality from the primary database.
Version Control in Application:Implement version control within your application logic. Each time a user makes changes, the application can create a new version of the data and store it in the database.
Logging and Logging Tables:Enable database query logging or create custom logging tables to capture SQL statements executed on the database. This can help in reconstructing changes made over time.
Third-Party Tools:Consider using third-party tools or frameworks designed for change data tracking and auditing. Some frameworks provide more advanced features and reporting capabilities.
It's essential to choose an approach that aligns with your specific use case, application architecture, and scalability requirements. Additionally, consider the sensitivity of the data and the level of detail needed for auditing purposes. The choice may also depend on whether you need to track changes at the application level or if you require a more comprehensive database-level tracking solution.