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Research how much overlap there is in requests for the same url
Open, Needs TriagePublic

Description

Log scale

combined.dupes-isbn.png (1,650×825 px, 79 KB)

combined.dupes.png (1,650×825 px, 70 KB)

Linear

combined.dupes-linear-percent.png (1,650×825 px, 72 KB)

Repeats by outcome (success/failure) in small window (1day)

On_demand_report_2026-10-01T10_03_33.214Z_5c4b6fe0-bd7f-11f1-a8a0-95afb48af0a7.outcome-urls.png (1,650×825 px, 92 KB)

On_demand_report_2026-10-01T10_03_33.214Z_5c4b6fe0-bd7f-11f1-a8a0-95afb48af0a7.outcome-isbn.png (1,650×825 px, 82 KB)

Also added unique count data table to graphana:

https://logstash.wikimedia.org/app/dashboards#/view/5eaf4e40-f6b6-11eb-85b7-9d1831ce7631

TODO:

  • Explore how this changes with increased window length; does the shape stay the same?
  • What cache length would be suitable for failures? What about successes?