repository·main·Indexed 21 days ago
https://github.com/elastic/elasticsearch-rsA Rust client for Elasticsearch. It supports WebAssembly (Wasm) environments using the Fetch API and includes a custom xtask build system. The library provides access to various Elasticsearch namespaces including cluster management, indices creation and mapping, Cat APIs, Cross-cluster Replication (CCR), Async Search, and Connector and Sync Jobs APIs.
The Elasticsearch Rust client is the official client for communicating with Elasticsearch. It provides fluent builders for all Elasticsearch REST API endpoints, persistent keep-alive connections, TLS support (using system or custom certificates), proxy support with authentication, and asynchronous support via the Tokio runtime.
For full technical details, refer to the API documentation on docs.rs.
The Inference APIs allow you to create inference endpoints and consume machine learning models from various providers as a service. Supported providers include:
elasticsearch-rs client provides access to Searchable Snapshot APIs. Searchable snapshots allow you to reduce operating costs by using snapshots for resiliency instead of maintaining full replica shards within a cluster. This is particularly effective for data that is searched less frequently.elasticsearch-rs, you can leverage ES|QL APIs to perform complex data manipulations directly through the client. For a deep dive into the language syntax and specific query capabilities, refer to the official ES|QL documentation.simulate namespace provides APIs for testing Ingest Pipelines without applying changes to an actual index. This allows you to verify how documents will be processed by a specific pipeline by providing a sample document and observing the resulting output.elasticsearch-rs are used to retrieve and interact with information provided by Universal Profiling. These APIs allow you to access profiling data collected from your Elasticsearch cluster.Index Lifecycle Management (ILM) allows you to automate how indices are managed over time. Instead of running manual management tasks on a fixed schedule, ILM allows you to trigger actions based on factors like shard size, age, or performance requirements.
To control how indices are handled as they age, you can attach a lifecycle policy to an index template. Updating a policy will affect both new indices created with that template and existing indices that follow it.
elasticsearch-rs client provides support for Event Query Language (EQL) APIs. EQL is a specialized query language designed for searching and analyzing event-based time series data, such as logs, metrics, and traces.elasticsearch-rs client provides access to the Logstash APIs, which are used to manage pipelines within Logstash Central Management. These APIs allow you to interact with Logstash configurations and pipeline lifecycles through the Elasticsearch interface.