# Redis vs PostgreSQL Benchmark

Load 125 million phone number records and benchmark read performance between Redis and PostgreSQL

## Prerequisites

pip install psycopg2-binary redis locust

## PostgreSQL Setup

sudo -u postgres psql

CREATE DATABASE numbers_db;
CREATE USER myuser WITH PASSWORD 'mypassword';
GRANT ALL PRIVILEGES ON DATABASE numbers_db TO myuser;
\q

## Redis Setup

sudo systemctl restart redis-server

## Load Data into PostgreSQL

python load_postgres.py

## Load Data into Redis

python load_redis.py

## Run Benchmark

locust -f main.py

Then open in browser: http://localhost:8089

## Default Settings

Total records: 125,000,000
Phone number range: 100,000,000 to 224,999,999
PostgreSQL workers: 12
Redis workers: 8

## Expected Results

Redis:
- Average latency: 0.5 to 2 ms
- P99 latency: 3 to 8 ms
- Throughput: 40,000 to 60,000 req/s
- Load time: 15 to 20 minutes

PostgreSQL:
- Average latency: 2 to 10 ms
- P99 latency: 15 to 40 ms
- Throughput: 10,000 to 20,000 req/s
- Load time: 20 to 30 minutes

## File Structure

load_postgres.py - PostgreSQL data loader
load_redis.py - Redis data loader
main.py - Locust benchmark script

## Advanced Settings

In load_postgres.py:
NUM_WORKERS = 12
BATCH_SIZE = 2_000_000

In load_redis.py:
NUM_WORKERS = 8
BATCH_SIZE = 100_000

## Troubleshooting

PostgreSQL connection issue:
sudo systemctl status postgresql
sudo ufw allow 5432

Redis connection issue:
sudo systemctl status redis-server
redis-cli ping

Out of memory:
Reduce NUM_WORKERS to 4 in loader files

## Important Notes

PostgreSQL table is created as UNLOGGED (faster speed)
Each Locust user has a dedicated database connection
Response time is pure query time (excluding connection)
Phone numbers are sequential starting from 100 million

## Cleanup

Remove PostgreSQL database:
DROP DATABASE numbers_db;
DROP USER myuser;

Clear Redis:
redis-cli FLUSHALL