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Redis 4.x Cookbook

Redis 4.x Cookbook

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Redis 4.x Cookbook

Redis 4.x Cookbook

5 (4)

Overview of this book

Redis is considered the world's most popular key-value store database. Its versatility and the wide variety of use cases it enables have made it a popular choice of database for many enterprises. Based on the latest version of Redis, this book provides both step-by-step recipes and relevant the background information required to utilize its features to the fullest. It covers everything from a basic understanding of Redis data types to advanced aspects of Redis high availability, clustering, administration, and troubleshooting. This book will be your great companion to master all aspects of Redis. The book starts off by installing and configuring Redis for you to get started with ease. Moving on, all the data types and features of Redis are introduced in detail. Next, you will learn how to develop applications with Redis in Java, Python, and the Spring Boot web framework. You will also learn replication tasks, which will help you to troubleshoot replication issues. Furthermore, you will learn the steps that need to be undertaken to ensure high availability on your cluster and during production deployment. Toward the end of the book, you will learn the topmost tasks that will help you to troubleshoot your ecosystem efficiently, along with extending Redis by using different modules.
Table of Contents (15 chapters)
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13
Windows Environment Setup

Pika – a Redis-compatible NoSQL database


Through the previous introduction, we have learned that if the dataset size of a Redis instance is too big, it is likely that the replication and persistence can be a big problem. Specifically, it always takes quite a long time to restore the dataset from a persistence file if the dataset of a Redis instance is large. In addition, the bigger is the dataset of a Redis, the longer it takes to perform the forking when the persistence is triggered. Worst of all, if the master Redis has a large dataset and owns multiple slaves, the full synchronization is a disaster. From the perspective of the storage cost, RAM is much more expensive than the Solid State Drive (SSD).

To address these problems, Qihoo 360 developed Pika, which is a large-scale, high-performance, Redis-compatible storage system. Pika stores data on disks instead of memory, and the multithreaded design ensures considerable high performance. It supports multiple data structures and fully supports...

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