EdenGuideReference

Mssql

Microsoft SQL Endpoint Documentation

OverviewCopied!

Microsoft SQL Server (MSSQL) endpoints provide a robust interface for executing read operations against SQL Server databases. This API allows you to leverage the power and reliability of Microsoft SQL Server for your data retrieval needs.

Key FeaturesCopied!

  • Read Operations: Execute SELECT queries and other read operations

  • T-SQL Support: Full support for Transact-SQL syntax

  • Result Set Processing: Efficient handling of SQL Server result sets

  • Connection Management: Optimized connection handling for SQL Server

API Request StructureCopied!

MSSQL API requests follow this structure:

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

OperationsCopied!

Read Operation

The read operation executes a SELECT or other read-only query against a Microsoft SQL Server database.

Example:

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

Best PracticesCopied!

Performance Optimization

  1. Index Usage:

    • Create appropriate indexes for your query patterns

    • Use query execution plans to analyze performance

    • Consider columnstore indexes for analytical queries

  2. Query Efficiency:

    • Avoid SELECT * and retrieve only needed columns

    • Use appropriate filtering in WHERE clauses

    • Consider pagination for large result sets

Security

  1. Authentication:

    • Use Windows Authentication when possible

    • Implement the principle of least privilege

    • Consider utilizing Always Encrypted features

  2. Data Protection:

    • Implement TLS for connection encryption

    • Be cautious with dynamic SQL

    • Use parameterized queries

Error Handling

  1. TRY/CATCH Blocks:

    • Implement appropriate error handling

    • Log relevant error information

    • Design recovery mechanisms for critical operations

  2. Connection Management:

    • Implement connection pooling

    • Handle connection timeouts gracefully

    • Ensure connections are properly closed

Common Use CasesCopied!

  • Retrieving enterprise data for business applications

  • Generating reports and business intelligence dashboards

  • Supporting data-driven applications in corporate environments

  • Integrating with other Microsoft technologies (Power BI, .NET, etc.)

Related DocumentationCopied!