Code Examples - CSA-in-a-Box¶

Complete collection of practical code examples for Cloud Scale Analytics services including Azure Synapse Analytics, Azure Event Hubs, and Azure Stream Analytics.

Overview¶

This section provides production-ready code examples organized by service and use case. Each example includes complete implementations, setup instructions, expected outputs, and common variations.

What You'll Find Here¶

• Service-Specific Examples - Code examples organized by Azure service
• Integration Patterns - End-to-end solutions combining multiple services
• Best Practices - Production-tested patterns and approaches
• Common Variations - Alternative implementations for different scenarios

Language Coverage¶

Our examples support multiple programming languages and frameworks:

Code Examples by Service¶

Analytics & Compute Services¶

Azure Synapse Analytics¶

📊 Synapse Code Examples

Complete examples for working with Azure Synapse Analytics including:

• PySpark - Spark pool operations, Delta Lake, data transformations
• T-SQL - Dedicated SQL pool queries, data warehousing patterns
• Spark SQL - Table operations, metadata queries, analytics

Complexity Levels: - Beginner: Basic queries and data loading - Intermediate: Data transformations and optimization - Advanced: Delta Lake operations, performance tuning

Streaming Services¶

Azure Event Hubs¶

📨 Event Hubs Code Examples

Production-ready examples for event streaming:

• Python SDK - Event producers and consumers
• .NET SDK - Enterprise event processing
• Kafka Protocol - Kafka API compatibility

Complexity Levels: - Beginner: Simple send/receive operations - Intermediate: Batch processing, checkpointing - Advanced: Capture integration, partitioning strategies

Azure Stream Analytics¶

🌊 Stream Analytics Code Examples

Query patterns for real-time analytics:

• SQL Queries - Stream processing patterns
• Window Functions - Temporal analytics
• Reference Data - Enrichment patterns

Complexity Levels: - Beginner: Basic filtering and aggregation - Intermediate: Windowing and joins - Advanced: Complex event processing, anomaly detection

Integration Examples¶

End-to-End Solutions¶

Streaming Data Pipeline¶

🔄 Streaming Pipeline Example

Complete implementation of a streaming data pipeline:

• Event Hubs → Stream Analytics → Synapse Analytics
• Real-time ingestion and processing
• Delta Lake storage
• Monitoring and alerting

Complexity Level: Advanced

How to Use These Examples¶

Getting Started¶

1. Choose Your Service
2. Navigate to the service-specific section

3. Review the prerequisites and setup requirements

4. Select an Example

5. Pick an example matching your complexity level

6. Read the overview and expected outcomes

7. Setup Environment

8. Follow the setup instructions
9. Configure required Azure resources

10. Set environment variables

11. Run the Example

12. Copy the code to your environment
13. Execute following the step-by-step instructions

14. Verify the expected output

15. Explore Variations

16. Review common variations
17. Adapt to your specific use case

Prerequisites¶

All examples require:

• Azure Subscription - Active Azure subscription
• Azure CLI - Version 2.40 or higher
• Python - Version 3.8 or higher (for Python examples)
• .NET SDK - Version 6.0 or higher (for .NET examples)
• Appropriate Permissions - Contributor or specific role assignments

Code Structure¶

Each example follows this consistent structure:

## Overview
- Brief description
- Use cases
- Prerequisites

## Setup Instructions
- Azure resource setup
- Configuration steps
- Environment variables

## Implementation
- Complete code with comments
- Step-by-step explanation

## Expected Output
- Sample results
- Validation steps

## Common Variations
- Alternative approaches
- Different scenarios

Example Categories¶

By Complexity Level¶

Level	Description	Examples
	Basic operations, simple queries	Data loading, basic queries, simple event processing
	Data transformations, optimization	Joins, aggregations, batch processing
	Complex operations, performance tuning	Delta Lake operations, partitioning, complex event processing

By Use Case¶

• Data Ingestion - Loading data from various sources
• Data Transformation - ETL/ELT operations
• Real-Time Processing - Stream processing and analytics
• Data Warehousing - Analytics and reporting queries
• Integration - Connecting multiple services

Best Practices¶

Code Quality¶

• Documentation - All code includes comprehensive comments
• Error Handling - Examples include proper error management
• Security - Credentials managed via environment variables or Key Vault
• Testing - Examples include validation steps

Performance¶

• Optimization - Code follows performance best practices
• Resource Management - Efficient use of Azure resources
• Cost Optimization - Examples designed for cost-effectiveness

Maintainability¶

• Modularity - Code organized in reusable components
• Configuration - Externalized configuration
• Logging - Appropriate logging for troubleshooting

Related Resources¶

Documentation¶

• Architecture Patterns - Design patterns and architecture guidance
• Best Practices - Performance and security best practices
• Troubleshooting - Common issues and solutions

External Resources¶

• Azure Synapse Documentation
• Event Hubs Documentation
• Stream Analytics Documentation
• Azure Code Samples

Contributing¶

We welcome contributions to expand our code examples collection.

How to Contribute¶

1. Fork the Repository
2. Create a New Example
3. Follow the standard structure
4. Include comprehensive documentation
5. Test thoroughly
6. Submit a Pull Request
7. Describe your example
8. Reference any related issues

Guidelines¶

• Examples must be tested and working
• Code must follow language best practices
• Documentation must be clear and comprehensive
• Include expected output and validation steps

Support¶

Getting Help¶

• Issues - Report problems or request examples via GitHub Issues
• Questions - Ask questions in GitHub Discussions
• Documentation - Check the troubleshooting guide

Feedback¶

We value your feedback! Let us know:

• Which examples were most helpful
• What additional examples you'd like to see
• Suggestions for improvements

Quick Links¶

Ready to start coding? Choose a service above and explore the examples!

Last Updated: 2025-12-09 Version: 1.0.0 Maintainer: CSA-in-a-Box Documentation Team