8 repository-uri
Techniques for nesting related data within parent documents.
Distinguishing note: Focuses on denormalization and nesting strategies.
Explore 8 awesome GitHub repositories matching data & databases · Document Embedding. Refine with filters or upvote what's useful.
RethinkDB is a distributed, document-oriented database designed to store and manage JSON-formatted data across scalable clusters. It utilizes a custom log-structured storage engine with B-Tree indexing to ensure high-performance disk I/O and data persistence. The system maintains high availability through automatic sharding and replication, employing a primary-replica voting consensus mechanism to handle node failures and ensure consistent cluster operations. A defining characteristic of the platform is its reactive changefeed engine, which allows applications to subscribe to live data update
RethinkDB models one-to-many relationships by nesting related data directly within a parent document to simplify retrieval and ensure atomic updates for smaller datasets.
JSON API is a set of industry standards for RESTful APIs that defines uniform protocols for resource serialization, error responses, and query parameters. It provides a specification for request and response payloads in JSON-based APIs to ensure consistency across endpoints. The specification focuses on reducing network requests through a structured resource serialization format and a standardized mechanism for embedding related resources into a single response. It utilizes a custom JSON media type for content negotiation and supports the definition of custom profiles to provide specialized i
Includes related resources alongside primary data in a single response using a reserved includes parameter.
This project is a MongoDB database driver and object-relational mapper that brings MongoDB support to the Laravel Eloquent model and query builder. It provides a NoSQL model mapper that allows MongoDB collections to be mapped to object-oriented models using the Active Record pattern. The integration enables the use of a fluent query builder for constructing queries and aggregation pipelines without writing raw database syntax. It supports schema-less model integration, allowing applications to manage unstructured data while maintaining compatibility with standard object-oriented patterns. Th
Supports storing related data directly within parent documents to reduce read lookups.
NPOI is a pure .NET library for reading and writing Microsoft Office files in both legacy binary (.xls) and modern OpenXML (.xlsx, .docx) formats, operating entirely without requiring Microsoft Office or COM interop. It runs on Windows and Linux under .NET Standard and .NET Framework runtimes, using only managed code to parse and generate Office documents. The library provides comprehensive spreadsheet capabilities, including creating, editing, and reading Excel workbooks in both .xls and .xlsx formats, with support for cell formatting, styles, and formulas. It includes a streaming row-by-row
Opens legacy .xls files by reading OLE2 compound storage structures.
fast_jsonapi este un serializator de obiecte Ruby conceput pentru a transforma obiectele de date backend complexe în reprezentări JSON structurate. Implementează în mod specific formatul JSON:API pentru a asigura un schimb de date consistent între servere și clienți. Biblioteca funcționează ca un generator de documente compuse, permițând resurselor conexe să fie încorporate într-un singur răspuns pentru a minimiza cererile de rețea. Utilizează o definiție de schemă bazată pe clasă pentru a decupla modelele interne de bază de date de reprezentarea API publică. Proiectul include un instrument de linie de comandă pentru generarea boilerplate-ului de serializare prin scanarea schemelor de bază de date. Performanța este gestionată prin caching-ul output-ului bazat pe chei și instrumente de instrumentare care urmăresc latența de execuție a proceselor de serializare și codificare.
Generates compound documents by embedding related resources in a flat structure within a single JSON response.
MongoEngine este un object-document mapper Python care traduce înregistrările bazei de date în obiecte pentru a oferi o interfață orientată pe obiecte pentru persistența datelor. Servește ca manager de documente și validator de schemă pentru MongoDB, mapând clasele la documente pentru a impune tipuri de date și reguli de validare. Proiectul oferă un sistem de queryset lazy-loaded pentru filtrarea, sortarea și agregarea colecțiilor folosind sintaxa Pythonic. Gestionează structuri de date complexe prin funcții precum moștenirea documentelor, gestionarea recursivă a documentelor încorporate și legarea obiectelor bazată pe referințe. Biblioteca acoperă capabilități largi, inclusiv migrarea schemei, căutarea full-text și gestionarea fișierelor binare mari prin sistemul de fișiere GridFS. Include, de asemenea, instrumente pentru optimizarea indexului bazei de date, profilarea performanței interogărilor și hook-uri de ciclu de viață bazate pe semnale pentru a automatiza logica în timpul evenimentelor documentului.
Supports nesting related data structures by treating embedded documents as dependent objects within a parent document.
Practicalnode is a comprehensive educational resource and backend development framework for mastering server-side programming with Node.js. It provides a structured approach to building scalable network services, REST APIs, and real-time applications using asynchronous JavaScript. The project serves as a detailed implementation guide for several core backend patterns, including MongoDB data modeling and the construction of REST API development kits. It emphasizes a specific workflow for Docker containerization and offers a variety of strategies for managing user identity through stateless tok
Implements denormalization strategies by nesting related data as sub-documents within a single collection.
python-docx-template is a template engine for generating Microsoft Word documents by merging .docx files with data contexts using a logic-based markup syntax. It functions as a document automator that injects variables, images, and sub-documents into Word files while maintaining the original styling. The project uses a rendering system based on Jinja2 to apply template logic and filters to Office Open XML files. It allows for the creation of custom template filters to transform data during the rendering phase and includes a command line interface for producing documents by passing a template
Inserts the contents of another file or programmatically generated document into a template variable.