apache/calcite

Features

• Cross-Source Querying - Implements a query engine that retrieves and processes data from multiple heterogeneous backend storage systems using a unified SQL dialect.
• Federated Data Query Engines - Provides a federated query engine that translates relational operators into native backend formats to query diverse storage systems.
• Cross-Source Data Integration - Connects diverse storage systems through a common interface, joining datasets from external sources into a single result.
• Cost-Based Optimizers - Implements a cost-based optimizer that estimates resource costs to select the most efficient physical execution plans.
• Query Plan Optimizations - Transforms logical plans into efficient physical plans using pluggable rules and cost-based functions.
• Query Optimizer Frameworks - Offers a complete framework for parsing, optimizing, and translating SQL queries into relational algebra for diverse data sources.
• Relational Query Optimizers - Translates text into relational algebra and applies optimization rules to improve efficiency across different data sources.
• Rule-Based Plan Optimizations - Transforms logical query plans into efficient physical plans by applying a series of rewrite rules.
• Relational Algebra Translation - Converts SQL query strings into a tree of relational algebraic operators for logical manipulation and optimization.
• SQL Abstract Syntax Tree Parsing - Converts SQL strings into abstract syntax trees (ASTs) to facilitate programmatic analysis and optimization.
• SQL Query Execution - Runs SQL statements and retrieves results as structured data from connected data backends.
• SQL to Relational Algebra Translation - Translates SQL expressions into relational algebraic operators to facilitate logical and physical query planning.
• Schema Validation - Provides comprehensive SQL parsing and validation of queries against defined metadata schemas to ensure correctness.
• External Store Integrations - Retrieves information from multiple external data stores using a set of pre-built translation adapters.
• Pluggable Rules - Allows the query transformation process to be extended by injecting custom logic into the optimization pipeline.
• Schema-Based Query Validation - Verifies the structural correctness of parsed queries against a defined metadata model before plan generation.
• Native Query Translation - Translates standard SQL expressions into optimized proprietary formats for various underlying storage engines.
• SQL Query Validators - Converts SQL strings into structured formats and verifies them against a schema to ensure correctness.
• Data Engineering - Dynamic data management framework for SQL optimization.

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