In this final module, we transformed Redis from a simple key-value cache into a multi-model database powerhouse.

1. Key Takeaways

  1. RedisJSON: Allows you to store complex, nested JSON documents. It provides O(1) access to nested fields via a tree structure, enabling partial updates and atomic operations without full-object serialization.
  2. RediSearch: Adds a secondary Inverted Index on top of your Hashes or JSON. It supports full-text search, stemming, and high-performance Vector Search (KNN) for AI applications.

  3. RedisGraph: Uses Sparse Matrices and Linear Algebra to perform graph traversals much faster than traditional pointer-chasing graph databases. It uses the Cypher query language.

[!NOTE] This module explores the core principles of Module Review: Modules, deriving solutions from first principles and hardware constraints to build world-class, production-ready expertise.

1. Interactive Flashcards

Test your knowledge by flipping the cards below.

Partial Update

Why is `JSON.SET` better than `SET` for large objects?

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Network & CPU Savings

It modifies only the specific leaf node in the tree. Standard `SET` requires sending the entire JSON string over the network and re-parsing it.

Inverted Index

What data structure does RediSearch use to find words quickly?

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Map: Term → DocIDs

It maps every unique word to a list of Document IDs that contain it. This avoids scanning every document during a search.

Sparse Matrix

How does RedisGraph represent relationships in memory?

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Adjacency Matrix

It uses sparse matrices where rows/cols are nodes and values are edges. Traversal is performed using matrix multiplication.

Cypher

Write a query to find all friends of "Alice".

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MATCH Pattern

`MATCH (a:Person {name:'Alice'})-[:FRIEND]->(b) RETURN b`

2. Cheat Sheet

Module Command Description
RedisJSON JSON.SET key path value Set a JSON value at a specific path.
RedisJSON JSON.GET key [path] Retrieve a value (or sub-value).
RedisJSON JSON.NUMINCRBY key path n Atomically increment a number.
RediSearch FT.CREATE idx ... SCHEMA ... Create an index on Hash or JSON keys.
RediSearch FT.SEARCH idx "query" Search for text or attributes.
RedisGraph GRAPH.QUERY key "query" Execute a Cypher query.

3. Final Course Completion!

Congratulations! You have completed the High-Performance Redis Mastery curriculum. You now possess the knowledge to architect systems that are fast, scalable, and resilient.

Redis Glossary

Check the glossary for a complete list of terms used in this course.