A developer uploads documents (PDFs, logs, JSON records) to OSS for durable raw storage, then triggers an ingestion pipeline that pushes parsed document content and metadata into Elasticsearch for full-text search and analytics — a classic store-and-index architecture.
A developer uploads documents (PDFs, logs, JSON records) to OSS for durable raw storage, then triggers an ingestion pipeline that pushes parsed document content and metadata into Elasticsearch for full-text search and analytics — a classic store-and-index architecture.
See oss/oss-manage-objects.
See es/es-ingest-documents.
Q: How do I upload documents to OSS and index them in Elasticsearch for full-text search? A: You can upload documents to OSS for durable raw storage and then trigger an ingestion pipeline to push parsed content and metadata into Elasticsearch for full-text search and analytics. This classic store-and-index architecture combines OSS object management with Elasticsearch document ingestion capabilities.