elastic/elasticsearch-net

Features

• Elasticsearch Integrations - Provides a high-level .NET client for indexing documents and performing complex queries against Elasticsearch clusters.
• Elasticsearch Client Integrations - Connects .NET applications to an Elasticsearch cluster via a typed search client.
• Cluster Connectivity - Provides secure connectivity to Elasticsearch clusters using endpoint URLs and authentication credentials.
• Distributed Document Stores - Manages the lifecycle of documents across a distributed search cluster to maintain real-time data state.
• Elasticsearch Connectors - Provides a low-level wrapper for sending raw HTTP requests to an Elasticsearch cluster.
• Distributed Document Indexing - Stores individual data records within specific indexes to make them available for retrieval.
• Bulk Indexing - Stores multiple documents in a single operation to increase data throughput and reduce network overhead.
• Document CRUD Operations - Provides a unified interface to index, retrieve, update, and delete individual documents.
• Document Search Engines - Implements querying primitives to retrieve specific documents from the data store based on defined search criteria.
• Fluent Query Builders - Provides a chainable, fluent API for constructing complex search queries and requests.
• Full Text Search - Implements search functionality to retrieve documents based on complex queries and search criteria.
• Document Retrieval by Identifier - Fetches specific records from an index using a unique document identifier.
• Client Libraries - Implements a programmatic interface for managing the full lifecycle of JSON documents within a distributed search engine.
• REST API Clients - Implements a client-side interface for interacting with Elasticsearch RESTful services using JSON.
• Response Type Mapping - Transforms raw JSON responses into strongly typed objects using a generic mapping layer for type safety.
• Bulk Request Buffering - Groups multiple document updates into single payloads to reduce network overhead and increase write throughput.
• Document Updates - Modifies existing records in an index by adding or changing specific data fields.
• Pluggable Serializers - Employs a configurable, pluggable serialization mechanism to transform requests and responses into JSON.
• High-Throughput Indexing - Supports the organization and storage of vast amounts of data records via high-throughput bulk indexing.
• Index Initialization - Enables the initialization of named indexes to organize and store data for search operations.
• Index Lifecycle Management - Provides capabilities to programmatically create and delete search indexes to manage data organization.
• Connection Pooling - Maintains a pool of reusable network connections to distribute traffic across cluster nodes and manage retries.
• JSON Serialization - Decouples the request-response lifecycle from specific JSON libraries using an abstract serialization interface.
• Client-Side Load Balancing - Balances network traffic across available cluster nodes and manages connection retries and recovery.
• Search Engines - Official client for Elasticsearch.
• Searching - Elasticsearch client libraries.

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