I'd like to explain how those tables make a significant impact on database size by showing database usage patterns from several real CMS systems. Also, I'd like to list the benefits by reducing the database size at last.
Pattern 1: Huge DATASTORE table for a Simple Website
In the chart, it shows more than 95% of database is consumed by DATASTORE table which stores only binary content such as images, PDF files, etc, not document or configuration nodes and properties. The project implements a CMS based website serving huge amount of binaries. But business users do not probably edit and publish documents often. It is also possible that they migrate some binary data such as images and PDF files from external sources to CMS in order to serve those through website easily.
If they switch the Apache Jackrabbit DataStore component from the default DbDataStore to either S3DataStore or VFSDataStore, they can save more than 95% of database.
Pattern 2: Big DATASTORE table with Modest Document/Node Updates
This site shows modest amount of document and node content in DEFAULT_BUNDLE table which contains the node bundle data of the default Jackrabbit workspace. It means that business users update and publish content in modest size. But still more than 90% of database is consumed for binary content only in DATASTORE table.
The same story goes. If they switch the Apache Jackrabbit DataStore component from the default DbDataStore to either S3DataStore or VFSDataStore, they can save more than 90% of database.
Pattern 3: More Document Oriented CMS
In this site, the DEFAULT_BUNDLE table is relatively bigger than other sites, taking more than 50% of database. It means that content document updates and publication is very important to business users with their CMS system. Business users probably need to update and (re)publish content more frequently for their websites.
As the default workspace data needs to be queried and accessed frequently in the delivery web applications, there's nothing to do more with the DEFAULT_BUNDLE table.
However, they still have consumed more than 20% of database only for binary content in DATASTORE table, and they have consumed up to 20% of database for version history in VERSION_BUNDLE table.
Therefore, if they switch both DataStore component and FileSystem component of VersionManager to alternatives -- S3DataStore / VFSDataStore and VFSFileSystem -- then they can save more than 40% of database.
Pattern 4: More Versioning or Periodic Content Ingestion to CMS
In this site, more than 55% of database is consumed for version history in VERSION_BUNDLE table, and up to 30% of database is consumed for binary content in DATASTORE table.
There are two possibilities: (a) business users update and publish document very often so that it results in a lot of version history data, or (b) there is a batch job periodically running to import external content into CMS with publishing the updated document after imports.
In either case, if they switch both DataStore component and FileSystem component of VersionManager to alternatives -- S3DataStore / VFSDataStore and VFSFileSystem -- then they can save more than 85% of database.
Benefits by Reducing Database Size
What are the benefits by reducing the repository database size by the way?
Here's my list:
- Transparent JCR API
- As you're switching only Apache Jackrabbit internal components, it doesn't affect applications. You don't need to write or use a plugin to manage binary content in a different storage by yourself. The existing JCR API still works transparently.
- Indexing still works transparently. If you upload a PDF file, it will be indexed and searchable. However, if you implement a custom solution, you need to take care of it by yourself.
- Almost unlimited storage for binaries
- If you use either S3 bucket or SFTP gateway for Google Cloud Platform or even SFTP server directly, then you can store practically almost unlimited amount of binaries and version history in modern cloud computing world.
- Cheaper storage
- Amazon S3 or SFTP server is a lot cheaper than database option. For example, Amazon RDS is more expensive than S3 storage for binary content.
- Faster backup, import, migration
- Apache Jackrabbit DataStore component allows you to do hot-backup and restoration from the backup files to the backend system at runtime.
- Build new environment quickly from production data.
- As the database is small enough in most cases, you can build a new environment from from other environment's backups more quickly.
- Save backup storage
- If you do nightly backup, weekly backup, etc. and you have to keep those backup files for some period (e.g, 1 year), then you might need to worry about the backup disk storage sometimes. If the database size is small enough, your concerns will be more relieved by taking advantage of S3 backup capabilities.
- Encryption at rest
- If you have sensitive PDF files for example, you might want to take advantage of Encryption at REST provided by Amazon S3 or Linux file system.