Feature/aws jmeter recruiter test#6
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- datasets/linkedin_simulation_seed.sql: Complete 10K dataset (16MB) * 10,000 members, 10,200 recruiters, 500 companies * 10,000 job postings, 10,000 applications * 10,000 connections, 5,000 saved jobs - datasets/SEED_INSTRUCTIONS.md: Quick loading instructions Usage: docker exec -i $(docker compose ps mysql -q) mysql -uroot -plinkedin_pass linkedin_simulation < datasets/linkedin_simulation_seed.sql
CHANGES:
- All 10,000 applications now use mongodb://resumes/member_XXXXXX URLs
- All 10,000 members have MongoDB GridFS resume URLs
- Total: 20,000 MongoDB resume URL references
FILES:
- linkedin_simulation_seed.sql (18MB uncompressed)
- linkedin_simulation_seed.sql.gz (5.2MB compressed)
VERIFIED:
✅ 20,000 total MongoDB URLs (10K members + 10K applications)
✅ All resume PDFs exist in GridFS
✅ Backend /resumes/{member_id} endpoint serving real PDFs
✅ Tested: curl http://localhost:8000/resumes/4530 → valid 2-page PDF
DEPLOYMENT:
Team can load with:
docker exec -i $(docker compose ps mysql -q) mysql -uroot -plinkedin_pass linkedin_simulation < datasets/linkedin_simulation_seed.sql
OR use compressed:
gunzip -c datasets/linkedin_simulation_seed.sql.gz | docker exec -i $(docker compose ps mysql -q) mysql -uroot -plinkedin_pass linkedin_simulation
![sourcery-ai[bot]](https://avatars.githubusercontent.com/in/48477?s=60&v=4){kind=small}
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