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Nathan VasseandNicolas Clerc
9084163ed9
We need to measure backend response times and error codes from 100 up to 100k simultaneous users, on any instance. The scenario simulates a full user session (browse, recents, shared-with-me, folder creation, upload, trash, hard-delete) with randomized think times, using the e2e auth endpoint instead of the IDP, out of scope like the WOPI editors. Everything is property-driven (BASE_URL, USERS, USER_OFFSET...) so the same plan runs unchanged against any instance and across distributed injectors, each with its own USER_OFFSET to keep generated user emails globally unique. Uploads reproduce the frontend flow (item creation, presigned PUT to the object storage, upload-ended) and randomly pick a fixture entry; folder entries mirror the frontend folder upload by materializing the hierarchy before uploading each file into its parent.
20 lines
705 B
Plaintext
20 lines
705 B
Plaintext
# Per-injector JMeter properties for distributed runs.
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#
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# Copy this file to `user.properties` on each injector machine and give each
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# one a distinct USER_OFFSET so virtual users get globally unique emails
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# (load-user-<USER_OFFSET + threadNum>@test.test).
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#
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# Example for 3 injectors running 1000 users each:
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# injector 1: USER_OFFSET=0 -> load-user-1..1000
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# injector 2: USER_OFFSET=1000 -> load-user-1001..2000
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# injector 3: USER_OFFSET=2000 -> load-user-2001..3000
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USER_OFFSET=0
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# Any other property from the README can also be pinned here instead of
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# being passed with -J on the command line, e.g.:
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# BASE_URL=https://drive-load.example.com
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# USERS=1000
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# RAMP_UP=600
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# DURATION=1800
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