Advanced Search Plays with GraphQL
summary
Shows a hands-on build: a football dataset of ~19,000 player documents is indexed with MongoDB Atlas using Apache Lucene analyzers and a visual index, queried via the $search operator with fuzzy search and a function score that sums a numeric "overall" field with text relevance. A serverless GraphQL API and a custom resolver run aggregate pipelines against that index, wired to a CodeSandbox frontend (Apollo client) with anonymous auth; the demo returns ranked results live and includes the promised TikTok third‑party resolver example.
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chapters (14)
- 0:00Introduction and agenda
- 2:11MongoDB and document model
- 7:58Atlas Search overview
- 14:33About the speaker
- 15:37Building search index
- 20:21Apache Lucene and inverted index
- 24:14Querying with $search
- 31:33Search functionality summary
- 36:09GraphQL introduction
- 44:43GraphQL API benefits
- 45:44Building GraphQL API
- 57:22Custom resolver for search
- 1:00:30Authentication and demo
- 1:01:11Q&A and closing
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