Awesome GitHub RepositoriesQuery Plan Optimizations

Dapper is a high-performance micro-ORM and SQL object mapper for .NET. It functions as an ADO.NET extension library that adds data mapping capabilities directly to database connections, allowing SQL query results to be transformed into typed objects. The project prioritizes execution speed and low memory overhead by using intermediate language generation to map database columns to object properties. It further optimizes performance through the use of concurrent caching for mapping functions and literal value injection to improve database execution plans. The library covers a broad range of d

Apache DataFusion is an extensible, columnar SQL query engine that runs embedded within a host application without requiring a separate server process. It processes data in columnar batches using Apache Arrow for memory-efficient analytics, and can scale analytic workloads across multiple nodes for parallel execution. The engine supports both SQL and DataFrame queries through a modular, streaming architecture that allows custom operators, data sources, functions, and optimizer rules. The engine distinguishes itself through its modular extension framework, which enables building custom query e

Soar is a suite of specialized tools designed for analyzing MySQL performance, advising on indexing, and optimizing SQL syntax. It functions as a performance analyzer, index advisor, and query optimizer to identify bottlenecks and suggest structural improvements for faster execution. The project distinguishes itself through a system for rewriting SQL statements into optimized equivalent versions using custom heuristic rules and patterns. It also features a dedicated index advisor that evaluates query patterns and database metadata to recommend the creation of new indexes. Its broader capabil

Calcite विभिन्न डेटा स्रोतों में निष्पादन के लिए SQL क्वेरी को पार्स, ऑप्टिमाइज़ और रिलेशनल बीजगणित (relational algebra) में अनुवाद करने के लिए एक फ्रेमवर्क है। यह एक क्रॉस-सोर्स क्वेरी इंजन, SQL पार्सिंग लाइब्रेरी और रिलेशनल बीजगणित ऑप्टिमाइज़र के रूप में कार्य करता है। यह प्रोजेक्ट एक लागत-आधारित ऑप्टिमाइज़ेशन इंजन प्रदान करता है जो प्लगेबल नियमों का उपयोग करके लॉजिकल क्वेरी प्लान को कुशल भौतिक निष्पादन योजनाओं में बदलता है। यह बाहरी डेटाबेस और मैसेजिंग सिस्टम के मूल स्वरूपों में मानक SQL अनुरोधों को बदलने के लिए अनुवाद एडेप्टर का उपयोग करता है, जिससे विषम स्टोरेज सिस्टम में डेटा फेडरेशन सक्षम होता है। यह सिस्टम पूर्ण क्वेरी जीवनचक्र को कवर करता है, जिसमें स्कीमा के खिलाफ SQL पार्सिंग और सत्यापन, अभिव्यक्तियों का बीजगणितीय ऑपरेटरों में अनुवाद और कुशल निष्पादन योजनाओं का चयन शामिल है। इसमें क्वेरी निष्पादित करने और डेटा स्रोतों के कनेक्शन प्रबंधित करने के लिए एक कमांड-लाइन इंटरफ़ेस भी शामिल है।

Redka is a SQL-backed key-value store that implements a Redis-compatible interface. It acts as a relational data bridge, translating non-relational protocol commands into relational queries to provide persistence and ACID transactions using a SQL database backend. The system allows for relational data introspection by exposing internal key-value data as SQL views, enabling direct querying and analysis via relational syntax. It can be deployed as a standalone network server or as an embedded library within a Go application. The project supports a variety of data structures, including strings,

This project is a Chinese localization repository and technical translation project designed to make concise programming projects and technical documentation accessible to Chinese speakers. It provides a collection of translated resources and curated mappings of computer science terminology to ensure consistent translation of technical concepts. The project implements a software localization workflow that converts English-language technical guides and codebase documentation into Chinese. This process utilizes a technical glossary resource and a resource-driven localization model to maintain t

MiniOB is an open-source educational relational database kernel designed for learning the internals of database systems. It implements a dual-engine storage architecture combining B+ Tree and LSM-Tree, supports SQL parsing and query execution, and provides transactional processing with multi-version concurrency control. The system communicates with clients using the MySQL wire protocol and includes a vector database extension for storing and querying high-dimensional vectors. The project distinguishes itself through its comprehensive coverage of core database concepts in a single, learnable c

This project is an educational resource and technical manual for Apache Spark, focused on the architecture and practical application of large-scale data processing. It serves as a guide for big data engineering and distributed computing, covering the principles of parallel processing and fault-tolerant data distribution. The material provides instructional content on designing distributed ETL pipelines and implementing data analysis workflows. It includes tutorials for polyglot data processing, offering patterns and examples for using Python, Scala, and Java within a unified environment. The