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@lde/search-pipeline indexer as a bootable process and prebuilt Docker image: loads a mounted schema-declaration module, dataset selection, Typesense connection and rebuild mode from the environment, then runs the object-grain searchIndexerPipeline on","maintainers":[{"name":"ddeboer","email":"david@ddeboer.nl"}],"readme":"# @lde/search-indexer\n\nThe [@lde/search-pipeline](../search-pipeline) indexer as a bootable process\nand prebuilt Docker image: mount a schema-declaration module, point it at a\ndataset registry and Typesense, and one run selects the datasets, extracts and\nprojects each root type per the schema, and rebuilds the engine collections –\nthen exits. Run it as a cron job; the rebuild writers’ cross-pod lock makes an\noverlapping run fail fast instead of corrupting a collection.\n\n## Installation\n\n```sh\nnpm install @lde/search-indexer\n```\n\n```sh\ndocker run --rm \\\n  --volume ./search-schema.mjs:/config/search-schema.mjs:ro \\\n  --env REGISTRY_ENDPOINT=https://registry.example.org/sparql \\\n  --env TYPESENSE_HOST=typesense.internal \\\n  --env TYPESENSE_API_KEY=admin-key \\\n  ghcr.io/ldelements/search-indexer\n```\n\n## Documentation\n\nSee the [full documentation](https://ldelements.org/reference/search-indexer).\n","readmeFilename":"README.md"}