This project is a programmatic client for managing the lifecycle of documents within a distributed JSON search engine. It provides an Elasticsearch search client for indexing documents and performing complex queries, alongside a low-level client that acts as a flexible wrapper for sending raw HTTP requests to a cluster. The client features a fluent request builder that maps typed requests to REST API endpoints and a generic mapping layer to transform JSON responses into strongly typed objects. It employs a pluggable serialization mechanism to decouple the request-response lifecycle from speci
This project is a Go client library and API wrapper for interacting with Elasticsearch clusters. It serves as a programmatic interface for managing documents, indices, and cluster health, allowing Go applications to perform search and indexing operations via the REST API. The library functions as a distributed search orchestrator, providing specialized tools for high-throughput data ingestion and cluster administration. It features a buffered bulk processor with exponential backoff retries for optimizing write performance and supports automated index lifecycle transitions and historical data
Riot is a Go-based distributed search engine and indexing server designed for full-text indexing and retrieval. It functions as a retrieval system that sorts documents by relevance using BM25 ranking algorithms, term frequency, and inverse document frequency. The engine provides specialized support for the Chinese language, featuring concurrent text segmentation and phonetic Pinyin mapping to match romanized input with characters. It utilizes a distributed architecture that employs hash-based index sharding to balance data load and throughput across multiple server nodes. The system covers a
Spring Data Elasticsearch is a data access library that maps Java objects to Elasticsearch indices. It functions as an object mapper, a repository abstraction, and a query DSL wrapper, providing both a standard and a reactive client for executing asynchronous search and persistence operations. The project distinguishes itself by automating data access through repository interfaces, which generate query logic based on method naming conventions. It enables the construction of complex search queries using a domain-specific language and supports advanced search capabilities such as vector similar
The official Go client for Elasticsearch
Les fonctionnalités principales de elastic/go-elasticsearch sont : Elasticsearch Client Integrations, Index Management, Document CRUD Operations, Document Updates, Search Index Insertions, Bulk Indexing, Elasticsearch Document CRUD, Document Search Engines.
Les alternatives open-source à elastic/go-elasticsearch incluent : elastic/elasticsearch-net — This project is a programmatic client for managing the lifecycle of documents within a distributed JSON search engine.… olivere/elastic — This project is a Go client library and API wrapper for interacting with Elasticsearch clusters. It serves as a… go-ego/riot — Riot is a Go-based distributed search engine and indexing server designed for full-text indexing and retrieval. It… spring-projects/spring-data-elasticsearch — Spring Data Elasticsearch is a data access library that maps Java objects to Elasticsearch indices. It functions as an… elastic/elasticsearch-php — This project is a software development kit and cluster management tool for PHP. It serves as a full-text search SDK… elastic/elasticsearch-py — elasticsearch-py is a distributed search API wrapper and cluster administrator. It serves as a secure connector for…