- How do I install maximenko/elastica in Laravel?
- Install it with Composer using composer require maximenko/elastica. Then register the package service provider and facade if your Laravel version does not auto-discover them, and publish the configuration file. Set your Elasticsearch host and index options in that config before resolving the client from the container.
- Does maximenko/elastica support multiple Elasticsearch connections?
- Yes, the package description lists support for multiple named connections. Define each connection in the publishable config with its own hosts, indexes, and client options, then select the appropriate connection for each query or service. Confirm the exact connection-selection API in the package source before wiring it into production.
- How do I configure hosts and indexes for maximenko/elastica?
- Publish the package config file and set the hosts, indexes, and client options there so they stay with your Laravel configuration. The client is container-managed and reads those settings when it is resolved. Verify the published keys against the package source because the provided overview does not document every config key.
- Can I inject the Elastica client into controllers and queued jobs?
- Yes, the package registers the client in Laravel's service container, so you can type-hint or resolve it in controllers, services, and queued jobs. The facade is also available for shorter, more expressive query code. For jobs, make sure the client is resolved at execution time rather than serialized into the payload.
- Which Laravel and PHP versions does maximenko/elastica support?
- The provided context does not state supported Laravel or PHP versions, so you must check the package composer.json constraints and the repository metadata. Do that before adding it to a project, especially if you are on a current Laravel release or PHP 8.x. Version compatibility is one of the verification items flagged in the technical assessment.
- Is maximenko/elastica a fork of ruflin/elastica, and is it safe for production?
- The repository metadata and naming suggest it may be a personal republish or fork of the well-known ruflin/elastica client, but the provided overview does not confirm that. Before production use, diff it against upstream Elastica at the matching tag, check Packagist ownership, license, release activity, and issue traffic. The technical assessment rates the risk as high because of zero adoption and a bus factor of one, not necessarily because of code quality.
- How do I run Elasticsearch queries with the Elastica facade in Laravel?
- Resolve the facade or inject the client, then use Elastica's API for indexing documents, running query DSL searches, and managing indices. The package gives you Laravel-native access to the client; it does not add Laravel Scout-style model syncing or ::search() ergonomics. Keep query construction in a service class if you want it testable and reusable across controllers and jobs.
- Does maximenko/elastica work with Elasticsearch 8.x?
- The provided context does not confirm Elasticsearch 8.x support. Elastica releases generally track Elasticsearch majors, and the assessment warns about likely breakage with 8.x defaults such as TLS and authentication being on by default, removed mapping types, and _doc API changes. Test against your exact target server version before committing.
- How should I test Laravel code that uses maximenko/elastica?
- The context does not document package-specific testing helpers, so mock the injected client or bind a test double in Laravel's container for unit tests. For integration tests, run against the same Elasticsearch version you plan to use in production and cover indexing, querying, and index-management paths. Also test failure cases such as connection errors and bulk partial failures if your code relies on them.
- What are alternatives to maximenko/elastica for Laravel and Elasticsearch?
- Alternatives include the upstream ruflin/elastica client, the official elasticsearch/elasticsearch PHP client, or Laravel Scout with an Elasticsearch driver if you want model syncing and ::search() ergonomics. Choose based on whether you need low-level query DSL access, framework-native model integration, or a more actively maintained dependency. The technical assessment recommends resolving the fork and maintenance questions before adopting this package.