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#ProxySQL Use Case Scenarios

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ProxySQL sits between apps and MySQL and actually reduces connection overhead (examples claim ratios like 100,000 app connections to 100 DB connections via connection multiplexing), performs dynamic read/write split, enforces query caching with millisecond TTLs (example TTL: 3000 ms), rewrites or blocks bad SQL on the fly, mirrors traffic for testing, and handles failover without dropping app connections by detecting read_only changes. Deployments include multi‑DC SSL setups where local proxies keep remote SSL connections warm to avoid repeated handshakes.

AI-written summary · about

  1. 0:00Start
  2. 20:12Connection Pooling
  3. 21:36Connection Multiplexing
  4. 29:00Seamless failover
  5. 32:13DC migration
  6. 34:20Improve Multi DC implementation
  7. 37:01Adoption to Clustering
  8. 38:23Caching
  9. 40:51Query Timeout
  10. 42:21Firewall
  11. 44:33Query rewrite engine
  12. 46:10Query retry
  13. 47:08Query routing
  14. 47:19Query mirroring
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