apache/couchdb
Couchdb
CouchDB 是一个 NoSQL 文档数据库，将数据存储为灵活的文档，并公开一个 RESTful API 以通过 HTTP 进行数据管理。它作为一个分布式文档存储，在多个节点之间同步和复制数据，以确保高可用性和一致性。
该系统包括一个全文搜索引擎，将数据库记录转换为可查询的文档，支持排序和分页。数据同步通过多主复制处理，交换修订历史以保持分布式节点之间的一致性。
该数据库利用多版本并发控制，允许在不加锁的情况下同时进行读写。存储通过仅追加和基于 B 树的结构进行管理，以促进崩溃恢复和高效的基于磁盘的查找。
Features
- Document Storage - Persists unstructured or semi-structured data as flexible documents in a NoSQL store.
- Distributed Document Stores - Implements a schema-flexible storage architecture that organizes data into searchable documents across distributed environments.
- Data Replication - Synchronizes data across distributed database nodes to ensure consistency and high availability across the network.
- Document Databases - Operates as a database that stores data in flexible, document-oriented formats like JSON.
- Inter-Node Data Synchronization - Synchronizes data across multiple primary nodes to maintain reliability and availability within the distributed cluster.
- Multi-Master Replication - Implements a replication architecture where multiple nodes can concurrently serve both read and write requests.
- RESTful HTTP Interfaces - Exposes all database operations through a stateless REST-oriented HTTP interface for remote data management.
- RESTful Data APIs - Implements programmatic interfaces using standard HTTP methods for creating and managing document data.
- Append-Only Storage Engines - Utilizes a storage architecture that persists data as immutable sequences of records to improve crash recovery.
- Full-Text Search Engines - Ships a full-text search engine that transforms database records into queryable documents with sorting and pagination.
- Full-Text Search Indexes - Creates searchable indexes of text content allowing for rapid keyword retrieval across a large corpus of documents.
- Multi-Version Concurrency Control - Uses multi-version concurrency control to track document revisions and enable non-blocking read and write operations.
- Multi-Modal Index Queries - Retrieves documents using query syntax that supports sorting, range facets, and efficient pagination.
- B-Tree - Organizes documents and indexes in B-Tree structures to optimize disk-based range queries and lookups.
- Database Management APIs - Provides HTTP APIs specifically designed for managing database server configurations and operational settings.
- Database Engines - JSON-based document database with HTTP API.
- Database Management Systems - Document-oriented database with multi-master replication and HTTP API.
- Database Systems - Document-oriented database management system.
