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Webinar: Advanced Autovacuum Tuning and pganalyze VACUUM advisor
Understand the most important VACUUM metrics, concepts like xmin horizon, how to prevent transaction ID wraparound, estimating bloat, and more.
Lukas Fittl
Founder & CEO, pganalyze
Founder & CEO, pganalyze
In detail, we walk through
- How to identify ineffective VACUUMs that run but don’t actually produce any results
- Tracking freezing stats to prevent TXID wraparound, and how to find problem tables
- The VACUUM xmin horizon, and how it causes “Dead Tuples Not Yet Removable”, and how pganalyze alerts you of this situation
- Why BUFFERS is important, and how to interpret the hits counter
- How pganalyze calculates the age of transaction IDs using calendar time (not just counting TXIDs)
- How pganalyze estimates bloat, and when the estimates are more vs less accurate
- The new logic for scale factor and threshold tuning recommendations, and how it works behind the scenes
- How VACUUMs that have multiple index phases can use a lot of resources, and how pganalyze recommends changing autovacuum_work_mem to avoid the problem
- The pganalyze VACUUM Advisor
Watch the Webinar Recording
Hundreds Of Companies Monitor Their Production PostgreSQL Databases With pganalyze
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