A DSL-free Elasticsearch REST client for Elixir, providing a simple interface to interact with Elasticsearch clusters.
Elastix is a lightweight, DSL-free Elasticsearch client written in Elixir, designed to offer straightforward access to Elasticsearch's REST API. It enables developers to perform common operations like indexing, searching, and managing data without the overhead of a complex domain-specific language. The project prioritizes simplicity and transparency, staying close to Elasticsearch's native REST API while leveraging Elixir's strengths for clean, maintainable code.
Elixir developers who need to interact with Elasticsearch for data indexing, search, and management in their applications, particularly those who prefer a minimal, transparent client without a custom query DSL.
Developers choose Elastix for its DSL-free design, which uses plain Elixir maps and functions instead of a custom query language, making the API intuitive and reducing learning overhead. It offers comprehensive API coverage, flexible configuration for security and JSON libraries, and efficient bulk operations with raw JSON support for low-level control.
A simple Elasticsearch REST client written in Elixir.
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Uses plain Elixir maps and functions instead of a custom query language, as shown in the mapping and search examples, reducing learning overhead and keeping code intuitive.
Supports core Elasticsearch operations like index creation, document mapping, indexing, and bulk requests, covering essential REST API endpoints for data management.
Configurable for security (Shield), custom JSON libraries, and HTTPoison options, with support for custom headers via modules, allowing integration with AWS signatures as demonstrated.
Provides dedicated functions for bulk indexing with options for raw JSON data, enabling low-level control and performance optimization in data ingestion pipelines.
The README admits documentation is 'scarce,' forcing users to rely on tests or file issues for clarification, which can slow onboarding and troubleshooting.
Configuring custom headers requires implementing a separate module with a function, adding boilerplate code and maintenance overhead compared to simpler, built-in options.
Lacks abstractions like query builders, automatic retries, or advanced error handling, meaning developers must manually implement these for robust production use.