Cassandra High Performance Cookbook

Cassandra High Performance Cookbook

This is a cookbook and all tasks are approached as recipes. A recipe describes a task and outlines the steps necessary to complete this task. Some recipes in the book are examples of writing code. An example of this is a recipe that stores and accesses the entries of a phone book in Cassandra. The recipe consists of a description of the program, a full code example is given, the example is run, the output is displayed, and finally the how it works section describes the process or code in greater detail. Other recipes in the book describe a task. An example of this is a recipe that takes a snapshot back up of data in Cassandra. This recipe contains a description of the process, it then shows how to run the snapshot command and confirm that it worked, it then explains what the snapshot command does behind the scenes, finally the see also' section references other related recipes such as the recipe to restore a snapshot. This book is designed for administrators, developers, and data architects who are interested in Apache Cassandra for redundant, highly performing, and scalable data storage. Typically these users should have experience working with a database technology, multiple node computer clusters, and high availability solutions.

Cassandra High Performance Cookbook

Cassandra High Performance Cookbook - Second Edition

Easily analyze big data with frameworks such as Hadoop, Hive, Presto, and SparkAbout This Book* Over 200 hands-on recipes to help you efficiently administer, design, and optimize large-scale Apache Cassandra Clusters* From a seasoned author, learn how to set up, use, and troubleshoot globally distributed large-scale databases* This book will help you create efficient data models and access patternsWho This Book Is ForThis book is for those who want to know how to set up, administer, and optimize large-scale Cassandra clusters. If you have never used a Cassandra before, then this book will bring you up to speed with the use cases of No SQL and eventual consistency model. For more experienced users, the book provides that will show to better design your existing applications and tune the Cassandra cluster to get the best performance and availability.What you will learn* Design and set up a Cassandra cluster in single and multiple data center environments* Interact with Cassandra using the versatile and powerful command line CQLSH* Write programs to access data in Cassandra* Tune a Cassandra cluster and your programs to get the best performance* Get to know how to model data to optimize storage and access* Perform big data analytics using Cassandra with Hadoop, Spark, and PrestoIn DetailApache Cassandra is a fault-tolerant, distributed data store, which offers linear scalability allowing it to be a storage platform for large high volume websites. It's master less and symmetric architecture provides easy scalability and high availability. Using the tuneable consistency the same Cassandra cluster can satisfy a variety of application requirements, for example very high availability and guaranteed consistency. This book provides detailed recipes starting from how to set up a single node Cassandra cluster to more complex installations involving multiple nodes and multiple datacentres. The recipes provide a detailed and hands-on introduction to the CQL language through the CQL shell and introduces the Java and Python drivers for API access.The book provides detailed coverage on how to tune Cassandra to get the best performance and explains the tuneable consistency, availability, and partition tolerance through working example code snippets.The recipes demonstrate how to design a data model and schema to solve a variety of application requirements. This book introduces how to use Cassandra with big data analytics frameworks such as Hadoop and Spark.A significant portion of the book deals with recipes on administering, monitoring, and automating operations tasks to run a large-scale multi datacentre Cassandra cluster.