MySQL

MySQL Endpoint Documentation

OverviewCopied!

MySQL endpoints provide a streamlined interface for executing read operations against MySQL databases. This API allows you to retrieve data from your MySQL database instances while maintaining the security and efficiency of your database operations.

Key FeaturesCopied!

  • Read Operations: Execute SELECT queries and other read operations

  • SQL Standard Compliance: Support for standard MySQL SQL syntax

  • Result Set Handling: Efficient handling of query result sets

  • Connection Pooling: Optimized connection management

API Request StructureCopied!

MySQL API requests follow this structure:

{
  "kind": "mysql",
  "type": "read"
}

OperationsCopied!

Read Operation

The read operation executes a SELECT or other read-only query against a MySQL database.

Example:

{
  "kind": "mysql",
  "type": "read"
}

Best PracticesCopied!

Performance Optimization

  1. Index Usage:

    • Ensure your queries leverage existing indexes

    • Create appropriate indexes for frequently queried fields

    • Use EXPLAIN to verify query execution plans

  2. Query Efficiency:

    • Write specific queries that return only the required data

    • Use appropriate WHERE clauses to limit result sets

    • Consider using LIMIT to restrict large result sets

Security

  1. Authentication:

    • Use secure credentials for MySQL connections

    • Implement the principle of least privilege

    • Consider using connection encryption

  2. Data Validation:

    • Validate all user inputs before including in queries

    • Use prepared statements when possible

    • Be cautious with dynamic SQL construction

Error Handling

  1. Retry Logic:

    • Implement appropriate retry mechanisms for transient errors

    • Set appropriate timeouts

  2. Connection Management:

    • Handle connection failures gracefully

    • Implement proper connection release in all code paths

Common Use CasesCopied!

  • Retrieving customer data for display in applications

  • Generating reports based on transactional data

  • Looking up reference data to populate application dropdowns

  • Performing analytical queries on business data