Storing, Indexing and Searching files with Couchbase and Spring Boot

The text outlines a simple Spring Boot application designed to utilize Couchbase's search features for managing file uploads, storage, and retrieval. It discusses the limitations of storing files directly in databases, advocating for the use of binary stores for file storage, while associated metadata is stored in the database. The project involves a basic implementation where uploaded files are stored in a designated filesystem folder with SHA-1 digests as filenames, and metadata and text extraction are performed using tools like ExifTool and Poppler. The application supports searching files by metadata or content using N1QL and Full Text Search (FTS) queries, facilitated by a Search Service. Configuration details, including binary store paths and Couchbase server addresses, are briefly covered, and the application incorporates a user interface built with Thymeleaf and Semantic UI. The document concludes with suggestions for potential enhancements, such as advanced search forms and multiple file uploads.

No tracked trend matches for this post yet.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.