Apache Airflow Workflow Orchestration
Build and manage data pipelines and workflow orchestration with Apache Airflow
# Apache Airflow
This document provides comprehensive guidelines for apache airflow development and best practices.
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## Airflow Fundamentals
1. **Directed**
- Directed Acyclic Graph (DAG) concepts
- Implement proper directed acyclic graph (dag) concepts
- Follow best practices for optimal results
2. **Task**
- Task and operator architecture
- Implement proper task and operator architecture
- Follow best practices for optimal results
3. **Scheduler**
- Scheduler and executor components
- Implement proper scheduler and executor components
- Follow best practices for optimal results
4. **Web**
- Web UI for monitoring and management
- Implement proper web ui for monitoring and management
- Follow best practices for optimal results
5. **Configuration**
- Configuration and deployment options
- Implement proper configuration and deployment options
- Follow best practices for optimal results
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## DAG Development
6. **DAG**
- DAG definition and structure
- Implement proper dag definition and structure
- Follow best practices for optimal results
7. **Task**
- Task dependencies and relationships
- Implement proper task dependencies and relationships
- Follow best practices for optimal results
8. **Conditional**
- Conditional logic and branching
- Implement proper conditional logic and branching
- Follow best practices for optimal results
9. **Dynamic**
- Dynamic DAG generation
- Implement proper dynamic dag generation
- Follow best practices for optimal results
10. **DAG**
- DAG scheduling and triggers
- Implement proper dag scheduling and triggers
- Follow best practices for optimal results
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## Operators & Hooks
11. **Built-in**
- Built-in operators (BashOperator, PythonOperator)
- Implement proper built-in operators (bashoperator, pythonoperator)
- Follow best practices for optimal results
12. **Database**
- Database operators (PostgresOperator, MySqlOperator)
- Implement proper database operators (postgresoperator, mysqloperator)
- Follow best practices for optimal results
13. **Cloud**
- Cloud platform operators (AWS, GCP, Azure)
- Implement proper cloud platform operators (aws, gcp, azure)
- Follow best practices for optimal results
14. **Custom**
- Custom operator development
- Implement proper custom operator development
- Follow best practices for optimal results
15. **Hook**
- Hook implementation for external systems
- Implement proper hook implementation for external systems
- Follow best practices for optimal results
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## Task Management
16. **Task**
- Task lifecycle and states
- Implement proper task lifecycle and states
- Follow best practices for optimal results
17. **Retry**
- Retry mechanisms and failure handling
- Implement proper retry mechanisms and failure handling
- Follow best practices for optimal results
18. **Task**
- Task parallelism and concurrency
- Implement proper task parallelism and concurrency
- Follow best practices for optimal results
19. **Cross-DAG**
- Cross-DAG dependencies
- Implement proper cross-dag dependencies
- Follow best practices for optimal results
20. **Task**
- Task grouping and organization
- Implement proper task grouping and organization
- Follow best practices for optimal results
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## Scheduling & Triggers
21. **Cron-based**
- Cron-based scheduling
- Implement proper cron-based scheduling
- Follow best practices for optimal results
22. **Time-based**
- Time-based triggers
- Implement proper time-based triggers
- Follow best practices for optimal results
23. **File**
- File and data triggers
- Implement proper file and data triggers
- Follow best practices for optimal results
24. **External**
- External trigger systems
- Implement proper external trigger systems
- Follow best practices for optimal results
25. **Backfill**
- Backfill and catchup operations
- Implement proper backfill and catchup operations
- Follow best practices for optimal results
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## Data Pipeline Patterns
26. **ETL**
- ETL pipeline implementation
- Implement proper etl pipeline implementation
- Follow best practices for optimal results
27. **Data**
- Data validation and quality checks
- Implement proper data validation and quality checks
- Follow best practices for optimal results
28. **Batch**
- Batch processing workflows
- Implement proper batch processing workflows
- Follow best practices for optimal results
29. **Real-time**
- Real-time data integration
- Implement proper real-time data integration
- Follow best practices for optimal results
30. **Cross-system**
- Cross-system data synchronization
- Implement proper cross-system data synchronization
- Follow best practices for optimal results
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## Monitoring & Observability
31. **Web**
- Web UI dashboard usage
- Implement proper web ui dashboard usage
- Follow best practices for optimal results
32. **Log**
- Log aggregation and analysis
- Implement proper log aggregation and analysis
- Follow best practices for optimal results
33. **Metrics**
- Metrics collection and alerting
- Implement proper metrics collection and alerting
- Follow best practices for optimal results
34. **Performance**
- Performance monitoring
- Implement proper performance monitoring
- Follow best practices for optimal results
35. **Troubleshooting**
- Troubleshooting and debugging
- Implement proper troubleshooting and debugging
- Follow best practices for optimal results
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## Configuration Management
36. **Airflow**
- Airflow configuration files
- Implement proper airflow configuration files
- Follow best practices for optimal results
37. **Environment**
- Environment variable management
- Implement proper environment variable management
- Follow best practices for optimal results
38. **Connection**
- Connection and variable storage
- Implement proper connection and variable storage
- Follow best practices for optimal results
39. **Security**
- Security and authentication setup
- Implement proper security and authentication setup
- Follow best practices for optimal results
40. **Multi-environment**
- Multi-environment configuration
- Implement proper multi-environment configuration
- Follow best practices for optimal results
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## Scaling & Performance
41. **Executor**
- Executor types (Sequential, Local, Celery, Kubernetes)
- Implement proper executor types (sequential, local, celery, kubernetes)
- Follow best practices for optimal results
42. **Resource**
- Resource allocation and optimization
- Implement proper resource allocation and optimization
- Follow best practices for optimal results
43. **Database**
- Database backend configuration
- Implement proper database backend configuration
- Follow best practices for optimal results
44. **Distributed**
- Distributed task execution
- Implement proper distributed task execution
- Follow best practices for optimal results
45. **Performance**
- Performance tuning strategies
- Implement proper performance tuning strategies
- Follow best practices for optimal results
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## Integration Patterns
46. **Database**
- Database integration
- Implement proper database integration
- Follow best practices for optimal results
47. **Cloud**
- Cloud service connectivity
- Implement proper cloud service connectivity
- Follow best practices for optimal results
48. **Message**
- Message queue integration
- Implement proper message queue integration
- Follow best practices for optimal results
49. **REST**
- REST API interactions
- Implement proper rest api interactions
- Follow best practices for optimal results
50. **File**
- File system operations
- Implement proper file system operations
- Follow best practices for optimal results
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## Security Implementation
51. **Authentication**
- Authentication mechanisms
- Implement proper authentication mechanisms
- Follow best practices for optimal results
52. **Role-based**
- Role-based access control (RBAC)
- Implement proper role-based access control (rbac)
- Follow best practices for optimal results
53. **Connection**
- Connection encryption
- Implement proper connection encryption
- Follow best practices for optimal results
54. **Secrets**
- Secrets management
- Implement proper secrets management
- Follow best practices for optimal results
55. **Audit**
- Audit logging
- Implement proper audit logging
- Follow best practices for optimal results
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## Advanced Features
56. **Custom**
- Custom plugins development
- Implement proper custom plugins development
- Follow best practices for optimal results
57. **Sensor**
- Sensor operators for event detection
- Implement proper sensor operators for event detection
- Follow best practices for optimal results
58. **XCom**
- XCom for inter-task communication
- Implement proper xcom for inter-task communication
- Follow best practices for optimal results
59. **Sub-DAGs**
- Sub-DAGs for complex workflows
- Implement proper sub-dags for complex workflows
- Follow best practices for optimal results
60. **Task**
- Task pools for resource management
- Implement proper task pools for resource management
- Follow best practices for optimal results
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## Testing Strategies
61. **Unit**
- Unit testing DAGs and tasks
- Implement proper unit testing dags and tasks
- Follow best practices for optimal results
62. **Integration**
- Integration testing pipelines
- Implement proper integration testing pipelines
- Follow best practices for optimal results
63. **Mock**
- Mock external dependencies
- Implement proper mock external dependencies
- Follow best practices for optimal results
64. **Data**
- Data validation testing
- Implement proper data validation testing
- Follow best practices for optimal results
65. **Performance**
- Performance testing
- Implement proper performance testing
- Follow best practices for optimal results
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## Deployment & Operations
66. **Docker**
- Docker containerization
- Implement proper docker containerization
- Follow best practices for optimal results
67. **Kubernetes**
- Kubernetes deployment
- Implement proper kubernetes deployment
- Follow best practices for optimal results
68. **CI/CD**
- CI/CD pipeline integration
- Implement proper ci/cd pipeline integration
- Follow best practices for optimal results
69. **Environment**
- Environment promotion
- Implement proper environment promotion
- Follow best practices for optimal results
70. **Backup**
- Backup and recovery procedures
- Implement proper backup and recovery procedures
- Follow best practices for optimal results
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## Cloud Integration
71. **AWS**
- AWS integration (S3, EMR, Redshift)
- Implement proper aws integration (s3, emr, redshift)
- Follow best practices for optimal results
72. **Google**
- Google Cloud Platform operators
- Implement proper google cloud platform operators
- Follow best practices for optimal results
73. **Azure**
- Azure service connectivity
- Implement proper azure service connectivity
- Follow best practices for optimal results
74. **Multi-cloud**
- Multi-cloud data processing
- Implement proper multi-cloud data processing
- Follow best practices for optimal results
75. **Serverless**
- Serverless execution patterns
- Implement proper serverless execution patterns
- Follow best practices for optimal results
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## Best Practices
76. **DAG**
- DAG design principles
- Implement proper dag design principles
- Follow best practices for optimal results
77. **Error**
- Error handling strategies
- Implement proper error handling strategies
- Follow best practices for optimal results
78. **Resource**
- Resource optimization
- Implement proper resource optimization
- Follow best practices for optimal results
79. **Code**
- Code organization
- Implement proper code organization
- Follow best practices for optimal results
80. **Documentation**
- Documentation standards
- Implement proper documentation standards
- Follow best practices for optimal results
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## Summary Checklist
- [ ] Core principles implemented
- [ ] Best practices followed
- [ ] Performance optimized
- [ ] Security measures in place
- [ ] Testing strategy implemented
- [ ] Documentation completed
- [ ] Monitoring configured
- [ ] Production deployment ready
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Follow these comprehensive guidelines for successful apache airflow implementation.