QdrantSync: Simplifying Data Migration Between Qdrant Instances
I recently developed QdrantSync, a CLI tool to simplify and streamline migrating collections and data points between Qdrant instances. It was born out of my experience with Qdrant snapshots, which can be tedious and complex—especially when moving data to clusters with different configurations or sizes.
Why QdrantSync?
Snapshots are powerful, but they’re not always the best option for every scenario. Challenges arise when migrating data:
- Cluster Size Differences: Snapshots assume identical setups, making it tricky to adjust for varying cluster configurations.
- Flexibility: Adapting data, schema, or replication factors during migration requires extra effort.
- Incremental Updates: Snapshots don’t support partial or staged migrations easily.
QdrantSync solves these pain points by providing a robust and flexible alternative for seamless data transfer.
Key Features:
- Customizable Migration: Fine-tune schema settings like replication factors and prefixes to suit your destination cluster.
- Incremental Migration: Mark and track migrated data, allowing you to resume or refresh migrations without duplication.
- Scalable Batch Processing: Scroll through large datasets efficiently with real-time progress tracking via
tqdm
. - Error Handling: Safe operations ensure no unintended overwrites or data loss, with options to continue migrations for existing collections.
Getting Started:
- Install:
1 2
pip install QdrantSync qdrantsync --help
- Migrate Data:
1
qdrantsync --source-url <source> --destination-url <destination> --migration-id <id>
Use Cases:
- Migrate Qdrant data between environments (e.g., staging to production).
- Upgrade infrastructure or move to a different cloud provider.
- Perform selective or incremental backups.
Contribute:
I’d love to hear your feedback or see contributions! The project is open-source and MIT-licensed.
GitHub Repo:
Check it out here: GitHub.
Have you run into similar challenges with Qdrant snapshots? Let me know your thoughts or suggestions!
Enjoyed this article? Support my work!
If you found this content helpful, consider buying me a coffee to show your appreciation.
Buy me a coffee