Query relational databases directly from your runbooks to fetch and analyze data.

​
Supported Databases

  • PostgreSQL
  • MySQL
  • SQL Server
  • Oracle
  • SQLite
  • ClickHouse
  • Any JDBC-compatible database

​
Query Format

-- Basic SELECT
SELECT column1, column2 
FROM table_name
WHERE condition
LIMIT 100;

-- JOIN example
SELECT 
    o.order_id,
    c.customer_name,
    o.order_date
FROM orders o
JOIN customers c ON o.customer_id = c.id
WHERE o.status = 'shipped';

​
Examples

​
Database Health Check

-- Check for long-running queries
SELECT 
    pid,
    now() - query_start AS duration,
    query
FROM pg_stat_activity
WHERE state != 'idle'
  AND now() - query_start > interval '5 minutes';

​
Performance Analysis

-- Find slow queries
SELECT 
    query,
    mean_exec_time,
    calls
FROM pg_stat_statements
ORDER BY mean_exec_time DESC
LIMIT 10;

​
Best Practices

  • Always use parameterized queries to prevent SQL injection
  • Limit result sets with WHERE clauses
  • Use appropriate indexes
  • Include error handling for database connections
  • Close connections when done

Query relational databases directly from your runbooks to fetch and analyze data.

​
Supported Databases

  • PostgreSQL
  • MySQL
  • SQL Server
  • Oracle
  • SQLite
  • ClickHouse
  • Any JDBC-compatible database

​
Query Format

-- Basic SELECT
SELECT column1, column2 
FROM table_name
WHERE condition
LIMIT 100;

-- JOIN example
SELECT 
    o.order_id,
    c.customer_name,
    o.order_date
FROM orders o
JOIN customers c ON o.customer_id = c.id
WHERE o.status = 'shipped';

​
Examples

​
Database Health Check

-- Check for long-running queries
SELECT 
    pid,
    now() - query_start AS duration,
    query
FROM pg_stat_activity
WHERE state != 'idle'
  AND now() - query_start > interval '5 minutes';

​
Performance Analysis

-- Find slow queries
SELECT 
    query,
    mean_exec_time,
    calls
FROM pg_stat_statements
ORDER BY mean_exec_time DESC
LIMIT 10;

​
Best Practices

  • Always use parameterized queries to prevent SQL injection
  • Limit result sets with WHERE clauses
  • Use appropriate indexes
  • Include error handling for database connections
  • Close connections when done