Stress-test your database with pre-defined queries. Validate slow and expensive queries that breaks your database.
go install github.com/adaptive-scale/dbchaos@v0.4.2
- Postgres
- MySQL
- MongoDB
- SQL Server
Create a file named config.yaml
with the following content:
dbType: postgres
connection: "host=localhost port=5432 user=postgres password=postgres dbname=postgres sslmode=disable"
query: |
SELECT pg_database.datname as "Database", pg_size_pretty(pg_database_size(pg_database.datname)) as "Size"
FROM pg_database;
parallelRuns: 100
runFor: 30m
For MongoDB, the connection string should be in the following format:
dbType: mongodb
connection: "mongodb://root:example@localhost:27017/"
query: |
{"insert": "users", "documents": [{ "user": "abc123", "status": "A" }]}
parallelRuns: 100
runFor: 30m
dbName: users
To run the above config file:
dbchaos runTest
Create a file called scenario.yaml
with the following content:
dbType: mysql
connection: "root:root@tcp(host:port)/db"
scenarios:
- query: select * from information_schema.statistics
parallelRuns: 10000
runFor: 15m
- query: |
SELECT table_schema "Database", ROUND(SUM(data_length + index_length) / 1024 / 1024, 2) "Size (MB)"
FROM information_schema.tables
GROUP BY table_schema;
parallelRuns: 10000
runFor: 15m
To run the above scenario file:
dbchaos runScenario
Example scenario.yaml
file:
dbType: mongodb
connection: "mongodb://root:example@localhost:27017/"
scenarios:
- query: '{"insert": "users", "documents": [{ "user": "abc123", "status": "A" }]}'
parallelRuns: 10000
runFor: 15m
dbName: users #(MongoDB only)