38 Repos
Capabilities for combining data from multiple database tables or collections within a single query operation.
Distinguishing note: Specifically addresses relational data retrieval and table joining, distinct from basic CRUD operations.
Explore 38 awesome GitHub repositories matching data & databases · Database Query Joins. Refine with filters or upvote what's useful.
Vapor is a comprehensive server-side web framework designed for building scalable, high-performance applications and APIs in Swift. It provides a non-blocking, event-loop-based runtime that manages concurrent task processing, background job queues, and asynchronous request handling. The framework is built around a dependency injection container that manages the lifecycle and resolution of services, configurations, and database connections throughout the request pipeline. The framework distinguishes itself through a protocol-oriented design that emphasizes type safety across all layers of the
Combine data from multiple tables by joining models, including support for aliasing models to join the same table multiple times in one query.
This project is a reactive, offline-first NoSQL database engine designed for JavaScript applications. It provides a robust framework for managing application state by synchronizing data across browsers, mobile devices, and server-side runtimes. By treating local storage as the primary source of truth, it enables applications to remain functional without network connectivity, automatically reconciling changes with remote backends once a connection is restored. The database distinguishes itself through a modular architecture that supports cross-environment synchronization and high-performance d
Supports fetching information from multiple linked collections by defining custom join queries within the replication configuration.
Litemall is an open-source e-commerce platform built on Java and Spring Boot that provides a complete retail environment. It includes both a customer-facing storefront and a centralized administrative dashboard, enabling businesses to manage product catalogs, order lifecycles, and member accounts from a single system. The platform distinguishes itself through deep integration with the WeChat ecosystem, offering a mobile-optimized storefront and social authentication for streamlined user access. It utilizes a modular architecture that combines automated database access layers with custom SQL m
Handles multi-table joins and specialized reporting requirements through custom SQL mappings.
Dapper is a lightweight object-relational mapper for .NET that functions as a high-performance data access library. It operates by extending standard database connection interfaces, allowing developers to execute raw SQL queries while automating the mapping of database results to strongly-typed objects. The library distinguishes itself through its use of runtime code generation, which creates high-performance instructions to map database rows to object properties with minimal overhead. It provides flexible data retrieval options, supporting both memory-buffered loading for speed and row-by-ro
Retrieves single or multiple records with support for joins, grouping, and ordering.
This project is a comprehensive technical interview preparation resource and computer science interview guide. It serves as an educational reference for developers to study core software engineering fundamentals and common coding patterns required for employment screenings. The repository provides detailed guides and references covering data structures and algorithms, networking and security, operating systems, and web development. It specifically focuses on the implementation and complexity analysis of sorting, searching, and graph algorithms. The material encompasses a wide breadth of comp
Details methods for retrieving records from multiple tables using various relational join types.
Presto is a distributed SQL query engine designed for high-performance analytical processing across heterogeneous data sources. It functions as a data federation platform and massively parallel processing engine, allowing users to execute interactive queries against diverse storage systems without requiring data migration. By mapping remote metadata and structures to a unified relational namespace, it enables seamless cross-platform analysis through a standard SQL interface. The engine distinguishes itself through a pluggable connector architecture and a shared-nothing distributed processing
Automatically selects between partitioned and broadcast join strategies to optimize query performance based on data size and memory constraints.
Entity Framework Core is an object-relational mapper that enables developers to interact with database systems using strongly-typed code. It serves as a comprehensive data access framework, providing a unified interface for mapping application objects to relational and non-relational database schemas while managing the lifecycle of data operations through a central context. The project distinguishes itself through a provider-based architecture that decouples core data access logic from specific database engines, allowing for consistent interaction across diverse storage systems. It features a
Connects data sources based on matching keys to generate combined results using relational joins.
This project is a comprehensive collection of web development reference guides and technical cheat sheets. It provides a curated set of markdown-based documentation designed to help developers quickly locate syntax patterns and API examples for common web technologies and programming languages. The repository serves as a specialized reference library covering several distinct technical domains. It includes extensive guides for CSS, focusing on selectors, Flexbox, Grid, and responsive layout properties, as well as a DevOps command reference for Docker, Kubernetes, AWS, Ansible, and general she
Details capabilities for combining data from multiple database tables within a single query.
This project is a type-safe database toolkit and object-relational mapper designed to enforce structural consistency between database schemas and application code. By leveraging compile-time validation, it ensures that SQL queries and data structures remain synchronized, preventing common errors before the application executes. It provides a comprehensive framework for relational data modeling, allowing developers to define table associations and map database results directly into strongly-typed language objects. The library distinguishes itself through its focus on compile-time safety and au
Constructs inner or left join queries to combine related data into single result sets.
Mycat-Server is a MySQL database middleware system that functions as a sharding proxy, distributed database coordinator, and high availability manager. It acts as a proxy layer that routes SQL traffic between applications and multiple backend MySQL database instances to enable horizontal scaling. The system coordinates distributed transactions, generates global unique sequences to prevent primary key collisions, and executes distributed join queries across multiple database shards. It includes a load balancer that performs read-write splitting by directing traffic between primary and slave no
Executes complex join queries across multiple database shards using global tables and sharding strategies.
Sea-ORM is an asynchronous SQL object-relational mapper and database toolkit for mapping relational tables to strongly typed objects. It provides a relational database mapper for performing CRUD operations across MySQL, PostgreSQL, and SQLite, and includes a programmatic dynamic query builder for constructing complex SQL statements. The project distinguishes itself by providing a GraphQL schema generator that transforms database entities into typed schemas with built-in pagination and filters. It also features a dedicated database migration tool for defining and applying versioned schema chan
Retrieves related data across complex join paths in a single query to avoid multiple round-trips.
hello-sql is a collection of educational resources and practical guides designed for mastering relational database design, SQL query writing, and schema mapping. It provides a set of lessons and exercises for practicing the creation and manipulation of data within relational databases. The project includes a database schema workbook for designing tables and mapping relationships, alongside a dedicated SQL query guide for writing selection, filtering, and aggregation statements. These resources are delivered through a relational database tutorial and a broader SQL learning resource. The mater
Demonstrates how to merge data from different tables using various join types and unions.
ParadeDB is a database extension that integrates full-text search, vector database capabilities, and real-time analytics directly into a relational engine. It functions as a plugin that adds new storage and query execution capabilities to an existing database architecture. The project distinguishes itself by supporting hybrid search workflows that combine lexical keyword matching with dense and sparse vector similarity in a single query. It utilizes reciprocal rank fusion to merge these ranked result sets and employs logical replication to synchronize data from external instances, removing th
Implements predicate pushdown during join operations to reduce latency by utilizing indexes before accessing base tables.
This project is a comprehensive educational resource and curriculum focused on site reliability engineering, distributed systems, and infrastructure operations. It provides technical guides, a systems engineering course, and instructional manuals designed to teach the principles of managing large-scale computing environments. The curriculum covers high-level architectural design for scalability and resilience, including fault-tolerant infrastructure, high-availability patterns, and microservices decomposition. It emphasizes the practical application of site reliability engineering through the
Covers merging records from multiple tables using various SQL join types.
Objection.js is an object-relational mapper for Node.js that maps SQL database tables to classes and rows to model instances. It functions as a high-level abstraction layer built on top of the Knex.js query builder to provide structured model definitions and relational data mapping. The project distinguishes itself through its ability to manage complex object graphs, allowing for the persistence and eager-loading of deeply nested related data in single operations. It incorporates a data integrity layer that uses JSON schema validation to verify model instances before they are persisted to the
Retrieves complex sets of related objects in a single operation to minimize database round-trips.
Feast is an open-source feature store for machine learning that provides a central platform for defining, storing, and serving features across both training and inference workflows. It operates as a declarative system where feature definitions are written as code in Python files, synchronized to a central registry, and made available for low-latency online retrieval or point-in-time correct historical joins for training datasets. The project abstracts storage behind a pluggable architecture, allowing offline and online backends to be swapped without changing retrieval logic, and coordinates ma
Feast automatically chooses between broadcast and distributed windowed joins based on dataset size to balance memory use and performance.
jOOQ is a type-safe SQL query builder for Java that generates code from live database schemas, enabling compile-time validation of SQL syntax and data types. Its core identity is built around a fluent DSL that mirrors SQL structure, a code generator that maps tables, views, and routines to Java objects, and a multi-dialect engine that translates the same DSL into vendor-specific SQL for over 30 databases. The project also includes a SQL parser and transformer for refactoring or dialect conversion, reactive stream integration for non-blocking query execution, and a JDBC proxy diagnostics tool f
Automatically generates JOIN clauses from foreign key relationships in generated table classes.
Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis
Enriches streaming data by joining with external key-value stores or databases within a pipeline.
Hibernate ORM ist ein Java-Object-Relational-Mapper und eine vollständige Implementierung der Jakarta Persistence API. Es dient als SQL-Datenbank-Abstraktionsschicht, die Java-Objektmodelle in relationale Datenbankschemata übersetzt, um Datenpersistenz und Lebenszyklen zu verwalten. Das Framework zeichnet sich durch ein Multi-Tenant-Datenisolations-Framework zur Trennung von Kundendaten innerhalb einer einzigen Datenbankinstanz aus. Es verfügt zudem über einen Datenbankschema-Generator, der automatisch relationale Strukturen basierend auf Entity-Mappings erstellt und aktualisiert. Das System deckt breite Funktionsbereiche ab, darunter Transaktionsmanagement, Concurrency-Locking-Kontrolle und temporale Datenverfolgung für Audit-Logging. Es bietet Tools zur Optimierung des Datenabrufs durch Entity-Graph-Strategien und unterstützt fortgeschrittene Datentypen wie Vektordaten und nationalisierte Zeichen. Das Projekt enthält eine umfassende Suite von Test-Utilities für die Persistenzschicht, einschließlich Datenbank-Dialekt-Filterung und Compliance-Tests für Spezifikationen.
Provides expressive query languages to handle intricate data retrieval requirements including aggregations and joins.
Scala 3 is an open-source, statically typed programming language that compiles to JVM bytecode, combining object-oriented and functional programming paradigms. Its core identity is defined by a sophisticated type system that includes traits, generics, union types, and a dependent object type system where types can depend on runtime values through path-dependent and singleton types. The language distinguishes itself through several advanced type-level and metaprogramming capabilities. It features a contextual abstraction mechanism using given instances and using clauses for compile-time implic
Resolves given instances and using clauses through compile-time type-directed lookup for contextual parameters.