The Apache Ignite Book: sample chapter

A few sample chapters of our new title The Apache Ignite book has been published. The updated full table of contents also available at the book landing page. This is an agile-published book and the first portion of the book will be published soon. We want this book to be the perfect guide for the Ignite users. So, any suggestions, comments, ideas are welcome.

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8 things every developer should know about the Apache Ignite caching

Any technology, no matter how advanced it is, will not be able to solve your problems if you implement it improperly. Caching, precisely when it comes to the use of a distributed caching, can only accelerate your application with the proper use and configurations of it. From this point of view, Apache Ignite is no different, and there are a few steps to consider before using it in the production environment. In this article, we describe various technics that can help you to plan and adequately use of Apache Ignite as cutting-edge caching technology. Do proper capacity planning before using Ignite cluster. Do paperwork for understanding the size of the cache, number of CPUs or how many JVMs will be required. Let’s assume that you are using Hibernate as an ORM in 10 application servers and wish to use Ignite as an L2 cache. Calculate the total memory usages and the number of Ignite nodes you have to need for maintaining your SLA. An incorrect number of the Ignite nodes can become a b...

Tip: SQL client for Apache Ignite cache

A new SQL client configuration described in The Apache Ignite book . If it got you interested, check out the rest of the book for more helpful information. Apache Ignite provides SQL queries execution on the caches, SQL syntax is an ANSI-99 compliant. Therefore, you can execute SQL queries against any caches from any SQL client which supports JDBC thin client. This section is for those, who feels comfortable with SQL rather than execute a bunch of code to retrieve data from the cache. Apache Ignite out of the box shipped with JDBC driver that allows you to connect to Ignite caches and retrieve distributed data from the cache using standard SQL queries. Rest of the section of this chapter will describe how to connect SQL IDE (Integrated Development Environment) to Ignite cache and executes some SQL queries to play with the data. SQL IDE or SQL editor can simplify the development process and allow you to get productive much quicker. Most database vendors have their own fron...

Using Apache Ignite thin client - Apache Ignite insider blog

From the version 2.4.0, Apache Ignite introduced a new way to connect to the Ignite cluster, which allows communication with the Ignite cluster without starting an Ignite client node. Historically, Apache Ignite provides two notions of client and server nodes. Ignite client node intended as lightweight mode, which does not store data (however, it can store near cache), and does not execute any compute tasks. Mainly, client node used to communicate with the server remotely and allows manipulating the Ignite Caches using the whole set of Ignite API’s. There are two main downsides with the Ignite Client node: Whenever Ignite client node connects to the Ignite cluster, it becomes the part of the cluster topology. The bigger the topology is, the harder it is for maintaining. In the client mode, Apache Ignite node consumes a lot of resources for performing cache operations. To solve the above problems, Apache Ignite provides a new binary client protocol for implementing thin Ignite cl...

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