VictoriaMetrics is a fast, cost-effective, and scalable time-series database designed for large-scale monitoring and analytics. It is known for its high performance and efficient data storage capabilities, making it a popular choice for handling metrics and time-series data.
One of the common issues users encounter with VictoriaMetrics is data retention problems. These issues manifest as unexpected data loss or data being retained longer than intended. Users may notice that older data is missing or that the database is consuming more storage than expected.
Symptoms include:
Data retention issues typically stem from incorrect retention settings or misconfigured policies. VictoriaMetrics uses retention settings to determine how long data should be kept before being purged. If these settings are not correctly configured, it can lead to either premature data deletion or excessive data retention.
Common causes include:
To resolve data retention issues, follow these steps:
Check the current retention settings in your VictoriaMetrics configuration. This can be done by reviewing the configuration files or environment variables. Ensure that the retention period is set according to your data retention policy.
# Example of setting retention period
retentionPeriod=12
Ensure that the configuration files are correctly set up and that there are no syntax errors. Pay special attention to the retentionPeriod
parameter.
Examine the VictoriaMetrics logs for any retention-related errors. Logs can provide insights into what might be going wrong. Look for messages related to data retention or purging.
# Example command to view logs
journalctl -u victoriametrics.service
Ensure that the correct retention policies are applied. If using a multi-tenant setup, verify that each tenant has the appropriate retention settings.
For more detailed information, refer to the official VictoriaMetrics documentation and the GitHub issues page for community support and troubleshooting tips.
By following these steps, you can effectively diagnose and resolve data retention issues in VictoriaMetrics, ensuring that your time-series data is managed efficiently.
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