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Datablast Docs

Overview

This section contains comprehensive guides for developing SQL tasks with PostgreSQL databases in the Datablast Data Platform.

Core Development

Section titled “Core Development”

Specialized Guides

Section titled “Specialized Guides”

Key Features

Section titled “Key Features”

PostgreSQL Integration

Section titled “PostgreSQL Integration”
  • Advanced SQL Features: Window functions, CTEs, and advanced data types
  • Performance Optimization: Indexing, query optimization, and connection pooling
  • Data Integrity: ACID compliance and robust transaction support
  • Extensibility: Custom functions and data types
  • JSON Support: Native JSON and JSONB data types

Development Tools

Section titled “Development Tools”
  • Annotation-based Configuration: Simple task configuration
  • YAML Configuration: Complex task setup
  • PostgreSQL-specific Functions: Date functions, string functions, and JSON functions
  • Debugging Support: Comprehensive error handling and logging

PostgreSQL-Specific Features

Section titled “PostgreSQL-Specific Features”

Advanced Data Types

Section titled “Advanced Data Types”
  • JSONB: Binary JSON for efficient storage and querying
  • UUID: Universally unique identifiers
  • Array Types: Native array support
  • Custom Types: User-defined data types
  • Range Types: Range data types for intervals

Window Functions

Section titled “Window Functions”
  • ROW_NUMBER(), RANK(), DENSE_RANK()
  • LAG(), LEAD() for time-series analysis
  • FIRST_VALUE(), LAST_VALUE() for window aggregates
  • Partitioning and ordering capabilities

Common Table Expressions (CTEs)

Section titled “Common Table Expressions (CTEs)”
  • Recursive CTEs for hierarchical data
  • Materialized CTEs for performance
  • Complex query decomposition
  • Query readability improvement

Performance Optimization

Section titled “Performance Optimization”

Indexing Strategies

Section titled “Indexing Strategies”
  • B-tree indexes for equality and range queries
  • Hash indexes for equality queries
  • GIN indexes for array and JSON data
  • Partial indexes for filtered queries
  • Composite indexes for multi-column queries

Query Optimization

Section titled “Query Optimization”
  • Use EXPLAIN ANALYZE for query analysis
  • Optimize JOIN operations
  • Implement proper indexing
  • Use appropriate data types
  • Monitor query performance

Connection Management

Section titled “Connection Management”
  • Connection pooling configuration
  • Transaction management
  • Prepared statements
  • Connection monitoring

Best Practices

Section titled “Best Practices”

Schema Design

Section titled “Schema Design”
  • Use appropriate data types
  • Implement proper constraints
  • Design efficient indexes
  • Plan for scalability

Query Design

Section titled “Query Design”
  • Use parameterized queries
  • Implement error handling
  • Optimize for performance
  • Follow naming conventions

Security

Section titled “Security”
  • Use parameterized queries to prevent SQL injection
  • Implement row-level security
  • Follow principle of least privilege
  • Monitor access patterns

Quick Start

Section titled “Quick Start”
  1. Configure PostgreSQL Connection: Set up PostgreSQL connection in Datablast
  2. Design Schema: Create appropriate tables and indexes
  3. Create Task: Define your SQL task with proper configuration
  4. Test Query: Validate your SQL in PostgreSQL console
  5. Deploy Pipeline: Add task to your pipeline and schedule
Section titled “Related Documentation”