Versioning with MongoDB
Maintaining a historical record of document changes is important for various applications, including content management systems, collaboration platforms, and financial systems. MongoDB offers several approaches to achieve versioning and document change tracking:
1. Creating a New Version on Each Change: Embed version information directly within the document itself. Each time a document is updated, a new version is created, preserving the previous state.
db.collection.update(
{ _id: <document_id> },
{
$push: {
versions: {
version_number: <new_version_number>,
data: <new_document_data>,
updated_at: new Date()
}
}
}
)
2. Only Storing Changes in a New Version: Store only the changes made to the document in a new version, reducing storage space by avoiding duplication of unchanged data
Implementation:
db.collection.update(
{ _id: <document_id> },
{
$push: {
changes: {
field_name: <changed_field_name>,
old_value: <old_field_value>,
new_value: <new_field_value>,
updated_at: new Date()
}
}
}
)
3. Storing Changes Within the Document: Store the changes within the document itself, keeping all versioning information within the document for easier access and management
Implementation:
db.collection.update(
{ _id: <document_id> },
{
$set: {
"changes.<field_name>": <new_field_value>,
"version_number": <new_version_number>,
"updated_at": new Date()
}
}
)
MongoDB/NoSQL Keeping Document Change History
In the world of database management, tracking changes to documents is crucial for maintaining data integrity and ensuring compliance with regulations. This is especially true in applications where auditing and versioning are essential. MongoDB, a popular NoSQL database, provides several approaches to managing document change history effectively.
In this article, We will learn about How to Keeping Document Change History by understanding various methods in detail with the implementation and so on.