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Apache Solr - The Enterprise Search Platform
Apache Solr is a widely used open-source enterprise search platform, built on Apache Lucene. It offers powerful full-text search, hit highlighting, faceted search, near real-time indexing, and dynamic clustering, designed for scalability and performance.
Java
Added on 2025年7月3日1,416
Stars735
ForksJava
LanguageProject Introduction
Summary
Apache Solr is the leading open-source enterprise search server, providing a robust and scalable platform for creating sophisticated search applications. Based on Apache Lucene, it offers a comprehensive set of features for indexing, searching, and analyzing structured and unstructured data.
Problem Solved
Solr addresses the challenges of building scalable, high-performance search applications. It simplifies complex tasks like indexing diverse data formats, handling high query loads, providing rich search features, and managing large-scale search infrastructures.
Core Features
Advanced Full-Text Search
Provides powerful and efficient full-text search capabilities over large volumes of data.
Faceted Search and Filtering
Allows users to filter and explore search results based on categories and attributes, improving data discovery.
Near Real-Time Indexing
Supports near real-time indexing of documents, making data quickly searchable after addition or updates.
Distributed Search and Indexing
Enables distributing indexes and queries across multiple servers to handle large data sets and high traffic.
Tech Stack
Java
Apache Lucene
XML
JSON
HTTP
Use Cases
Apache Solr is deployed in a wide variety of applications and industries requiring robust search capabilities. Common use cases include:
E-commerce Product Search
Details
Building product search engines for e-commerce websites, enabling customers to quickly find products using keywords, filters, and sorting options.
User Value
Improved customer experience, increased conversion rates, and efficient inventory discovery.
Log Analytics and Monitoring
Details
Indexing and searching through large volumes of application logs, server logs, or security logs to troubleshoot issues, monitor system health, or detect anomalies.
User Value
Faster incident response, proactive system monitoring, and easier analysis of operational data.
Content Management and Document Search
Details
Providing search functionality for websites, intranets, documentation portals, or digital asset management systems, allowing users to find relevant content quickly.
User Value
Enhanced usability of content platforms, improved knowledge discovery, and efficient access to information.
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