toshi-search/Toshi
Toshi
Toshi is a full-text search engine and library implemented in Rust, designed to manage and query large-scale structured datasets. It functions as a distributed search platform that enables high-speed information retrieval across massive collections of data.
The system distinguishes itself through an architecture built for high-throughput ingestion and parallel query execution. It utilizes an actor-model concurrency framework to coordinate worker processes and employs distributed sharding to partition index segments across multiple nodes. To maintain performance and data integrity, the engine automates index lifecycle management, including background segment merging and persistent write-ahead logging.
The platform provides comprehensive capabilities for managing search infrastructure, including tools for scaling clusters and tuning ingestion throughput. It relies on inverted index storage and memory-mapped file access to optimize disk-to-memory operations, ensuring consistent search performance as data volumes grow.
Features
- Full-Text Search Engines - Implements a high-performance engine for indexing and retrieving information from large structured datasets.
- Distributed Sharding Architectures - Partitions index segments across multiple nodes to achieve horizontal scalability and enable distributed query processing.
- Full-Text Inverted Indexes - Maps document terms to their locations in a lookup structure to facilitate rapid full-text retrieval.
- Write-Ahead Logging - Records document operations to a persistent journal before index updates to ensure data integrity and crash recovery.
- Distributed Search Engines - Provides infrastructure for scaling search clusters across multiple nodes to handle massive data volumes.
- High-Throughput Indexing - Optimizes the ingestion and storage of structured documents to maintain high performance as data collections grow.
- Asynchronous Segment Merging - Performs background merging of immutable index segments to optimize disk space and maintain consistent search performance.
- Distributed Search Query Routing - Distributes search requests across cluster nodes to retrieve relevant documents with high speed and reliability.
- Index Lifecycle Management - Automates the lifecycle of search indexes, including segment merging and data commitment, to ensure long-term integrity.
- Distributed Search Engines - Functions as a distributed platform for managing and querying massive collections of structured data.
- Large Scale Indexing - Provides robust storage and indexing for massive datasets to ensure fast retrieval and accurate query results.
- Search Libraries - Provides a search engine library implemented in Rust that optimizes ingestion throughput and memory allocation.
- Actor-Based Concurrency - Coordinates worker processes using an actor-model framework to enable high-throughput document ingestion and parallel query execution.
