Query and operators optimization
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The document summarizes topics that were covered in an SQL community meeting in December 2018, including tuning queries for performance, understanding execution plans, using performance monitoring tools, and troubleshooting queries. Key areas discussed were the SQL query processing steps, factors that affect performance like the buffer cache hit ratio, and methods for analyzing execution plans and data access operators like table scans and index seeks.
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These slides were presented during the virtual VictoriaMetrics User Meetup for Q2 2024.
Topics covered:
1. VictoriaMetrics development strategy
* Prioritize bug fixing over new features
* Prioritize security, usability and reliability over new features
* Provide good practices for using existing features, as many of them are overlooked or misused by users
2. New releases in Q2
3. Updates in LTS releases
Security fixes:
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● SECURITY: upgrade base docker image (Alpine)
Bugfixes:
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● vmalert
● vmagent
● vmauth
● vmbackupmanager
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* vmagent: Global aggregation and relabeling
* vmagent: global aggregation and relabeling
* Stream aggregation
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- Add rate_avg aggregation output
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* Vultr service discovery
* vmauth: backend TLS setup
5. Let's Encrypt support
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6. Performance optimizations
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7. VictoriaMetrics k8s operator
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● Add more context to the log messages. It must greatly improve debugging process and log quality.
● Changee error handling for reconcile. Operator sends Events into kubernetes API, if any error happened during object reconcile.
See changes at https://github.com/VictoriaMetrics/operator/releases
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● Improved reliability
● Faster read queries
● Easy maintenance
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● Add release images built from scratch image. Such images could be more
preferable for using in environments with higher security standards
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● See more at https://docs.victoriametrics.com/changelog/
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