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Pod Stuck in CrashLoopBackOff
Database connection timeout
Docker Container won't Start
Kubernetes ingress not working
Redis connection refused
CI/CD pipeline failing
ScyllaDB DiskFull
The disk is full, preventing write operations and causing potential data loss.
Resolving Disk Full Issues in ScyllaDB
Introduction to ScyllaDB
ScyllaDB is a high-performance, distributed NoSQL database designed for real-time big data applications. It is compatible with Apache Cassandra and offers low-latency and high-throughput capabilities. ScyllaDB is used for applications that require high availability and scalability.
Identifying the Symptom
One common issue encountered in ScyllaDB is the 'DiskFull' error. This issue arises when the disk space allocated for ScyllaDB is exhausted. Users may notice write operations failing, and there is a risk of potential data loss if the issue is not addressed promptly.
Observing the Error
When the disk is full, you may encounter error messages in the logs indicating that write operations cannot be completed. Monitoring tools may also alert you to low disk space conditions.
Understanding the DiskFull Issue
The 'DiskFull' issue occurs when the storage capacity of the disk used by ScyllaDB is completely utilized. This prevents any further write operations, which can lead to application downtime and data inconsistency.
Root Cause Analysis
The primary cause of this issue is insufficient disk space to accommodate the data being written to the database. This can result from unexpected data growth, inadequate initial disk provisioning, or lack of regular maintenance to clear unnecessary data.
Steps to Resolve DiskFull Issue
To resolve the 'DiskFull' issue, you can take several actions to free up space or increase storage capacity.
Free Up Disk Space
- Identify and delete unnecessary data or old backups that are no longer needed.
- Use the
nodetool cleanupcommand to remove obsolete data from nodes after a topology change. - Regularly run
nodetool compactto reclaim space by merging SSTables.
Increase Disk Capacity
- Consider adding more disks to your existing setup to increase storage capacity.
- Resize existing disks if your infrastructure supports dynamic resizing.
Add Additional Storage
- Scale out by adding more nodes to your ScyllaDB cluster, which will distribute the data and reduce the load on individual disks.
- Ensure that new nodes have adequate disk space to handle future data growth.
Conclusion
Addressing the 'DiskFull' issue in ScyllaDB is crucial to maintaining database performance and preventing data loss. By regularly monitoring disk usage and implementing the steps outlined above, you can ensure that your ScyllaDB cluster remains healthy and efficient.
For more information on managing disk space in ScyllaDB, visit the ScyllaDB Maintenance Tasks page.
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