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Mastering Redis

Mastering Redis

By : Vidyasagar N V, Nelson
3.3 (3)
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Mastering Redis

Mastering Redis

3.3 (3)
By: Vidyasagar N V, Nelson

Overview of this book

Redis is the most popular, open-source, key value data structure server that provides a wide range of capabilities on which multiple platforms can be be built. Its fast and flexible data structures give your existing applications an edge in the development environment. This book is a practical guide which aims to help you deep dive into the world of Redis data structure to exploit its excellent features. We start our journey by understanding the need of Redis in brief, followed by an explanation of Advanced key management. Next, you will learn about design patterns, best practices for using Redis in DevOps environment and Docker containerization paradigm in detail. After this, you will understand the concept of scaling with Redis cluster and Redis Sentinel , followed by a through explanation of incorporating Redis with NoSQL technologies such as Elasticsearch and MongoDB. At the end of this section, you will be able to develop competent applications using these technologies. You will then explore the message queuing and task management features of Redis and will be able to implement them in your applications. Finally, you will learn how Redis can be used to build real-time data analytic dashboards, for different disparate data streams.
Table of Contents (13 chapters)
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Preface
Preface
The philosophy behind Redis
What this book covers
Earn your Mastering Redis Open Badge
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Free Chapter
1
1. Why Redis?
1. Why Redis?
Is Redis right for me?
Experimenting with Redis
Popular usage patterns
Redis isn't right because …try again soon!
Summary
2
2. Advanced Key Management and Data Structures
2. Advanced Key Management and Data Structures
Redis keys
Manually creating a Redis schema
Deconstructing a Redis object mapper
Big O notation
Reviewing the time complexity of Redis data structures
Sorted sets
Advanced sorted set operations
Bitstrings and bit operations
HyperLogLogs
Summary
3
3. Managing RAM – Tips and Techniques for Redis Memory Management
3. Managing RAM – Tips and Techniques for Redis Memory Management
Configuring Redis
32-bit Redis
Key expiration
LRU key evictions
Creating memory efficient Redis data structures
Hardware and network latencies
Operating system tips
Summary
4
4. Programming Redis Part One – Redis Core, Clients, and Languages
4. Programming Redis Part One – Redis Core, Clients, and Languages
Redis internals
Coroutines using Redis and Python
Summary
5
5. Programming Redis Part Two – Lua Scripting, Administration, and DevOps
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5. Programming Redis Part Two – Lua Scripting, Administration, and DevOps
The use of Lua in Redis
Using KEYS and ARGV with Redis
Advanced Lua scripting with Redis
Programming Redis administration topics
Redis role in DevOps
Summary
6
6. Scaling with Redis Cluster and Sentinel
6. Scaling with Redis Cluster and Sentinel
Approaches to partitioning data
Clustering Redis with Twemproxy
Redis Cluster background
Overview of running Redis Cluster
Using Redis Cluster
Monitoring with Redis Sentinel
Summary
7
7. Redis and Complementary NoSQL Technologies
7. Redis and Complementary NoSQL Technologies
The proliferation of NoSQL
Redis as an analytics complement to MongoDB
Redis as a preprocessor complement to ElasticSearch
Redis as a smart cache complement to Fedora Commons
Summary
8
8. Docker Containers and Cloud Deployments
8. Docker Containers and Cloud Deployments
Linux containers
Docker basics with Redis
Layers in Docker images
Hosting and publishing Docker images
Docker and Redis issues
Packaging your application with Docker Compose
Redis and AWS
Dedicated cloud hosting options
Redis Labs
Summary
9
9. Task Management and Messaging Queuing
9. Task Management and Messaging Queuing
Overview of Redis Pub/Sub
Pub/Sub RESP replies
Redis Pub/Sub in action
Redis keyspace notifications
Task management with Redis and Celery
GIS and RestMQ
Messaging with Redis technologies
Summary
10
10. Measuring and Managing Information Streams
10. Measuring and Managing Information Streams
Extracting, transforming, and loading information with Redis
Machine learning and Redis
Summary
11
A. Sources
Chapter 1: Why Redis?
Chapter 2: Advanced Key Management and Data Structures
Chapter 3: Managing RAM – Tips and Techniques for Redis Memory Management
Chapter 6: Scaling with Redis Cluster and Sentinel
Chapter 7: Redis and Complementary NoSQL Technologies
Chapter 10: Measuring and Managing Information Streams
12
Index
Index

Using KEYS and ARGV with Redis

We have already been using the keys and optional arguments that are accessible as the KEYS and ARGV Lua tables in our Lua server-side scripts in Redis. To illustrate this, we'll run ninth_script that echoes back a Lua table with the KEYS and ARGS variables as members to the Redis client:

>>> ninth_script = """--[[ Returns all KEYS and ARGV as members of a Lua Table ]]--
return {KEYS[1], KEYS[2], ARGV[1], ARGV[2]}"""
>>> keys_and_args = ["Airline:1", "Airline:2", "Singapore Airlines", "Southwest"]
>>> datastore.eval(ninth_script, 2, *keys_and_args)
[b'Airline:1', b'Airline:2', b'Singapore Airlines', b'Southwest']

We can refactor this script—now called tenth_script—so that instead of requiring explicit keys for the Lua table, we can create a for loop that iterates through all of the values in KEYS and ARGV and returns the resulting Lua table:

>>> tenth_script = """--[[ Demostrates creating a Lua table with both KEYS and ARGV...
End of Chapter 5
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