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Apache Ignite Quick Start Guide

Apache Ignite Quick Start Guide

By : Acharya
3 (1)
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Apache Ignite Quick Start Guide

Apache Ignite Quick Start Guide

3 (1)
By: Acharya

Overview of this book

Apache Ignite is a distributed in-memory platform designed to scale and process large volume of data. It can be integrated with microservices as well as monolithic systems, and can be used as a scalable, highly available and performant deployment platform for microservices. This book will teach you to use Apache Ignite for building a high-performance, scalable, highly available system architecture with data integrity. The book takes you through the basics of Apache Ignite and in-memory technologies. You will learn about installation and clustering Ignite nodes, caching topologies, and various caching strategies, such as cache aside, read and write through, and write behind. Next, you will delve into detailed aspects of Ignite’s data grid: web session clustering and querying data. You will learn how to process large volumes of data using compute grid and Ignite’s map-reduce and executor service. You will learn about the memory architecture of Apache Ignite and monitoring memory and caches. You will use Ignite for complex event processing, event streaming, and the time-series predictions of opportunities and threats. Additionally, you will go through off-heap and on-heap caching, swapping, and native and Spring framework integration with Apache Ignite. By the end of this book, you will be confident with all the features of Apache Ignite 2.x that can be used to build a high-performance system architecture.
Table of Contents (9 chapters)
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Understanding the memory model

Apache Ignite has a durable memory architecture for storing and accessing data and indexes. The memory architecture for in-memory and on-disk storage for native persistence is the same. The available memory is split into multiple pages (you can configure the page size) and are stored in off-heap (outside the Java heap) and on disk.

The durable memory can have multiple data regions and each data region can be configured separately to set the size, eviction policies, persistent flag and many other attributes. The following diagram depicts the durable memory architecture:

The basic components are as follows:

  • Data regions: By default, Apache Ignite creates a single data region which can take upto 20% of available RAM. We can configure the durable memory size using the DataStorageConfiguration API. The following code snippet configures our durable...

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