Book Image

Mastering Mesos

By : Dipa Dubhashi, Akhil Das
Book Image

Mastering Mesos

By: Dipa Dubhashi, Akhil Das

Overview of this book

Apache Mesos is open source cluster management software that provides efficient resource isolations and resource sharing distributed applications or frameworks. This book will take you on a journey to enhance your knowledge from amateur to master level, showing you how to improve the efficiency, management, and development of Mesos clusters. The architecture is quite complex and this book will explore the difficulties and complexities of working with Mesos. We begin by introducing Mesos, explaining its architecture and functionality. Next, we provide a comprehensive overview of Mesos features and advanced topics such as high availability, fault tolerance, scaling, and efficiency. Furthermore, you will learn to set up multi-node Mesos clusters on private and public clouds. We will also introduce several Mesos-based scheduling and management frameworks or applications to enable the easy deployment, discovery, load balancing, and failure handling of long-running services. Next, you will find out how a Mesos cluster can be easily set up and monitored using the standard deployment and configuration management tools. This advanced guide will show you how to deploy important big data processing frameworks such as Hadoop, Spark, and Storm on Mesos and big data storage frameworks such as Cassandra, Elasticsearch, and Kafka.
Table of Contents (16 chapters)
Mastering Mesos
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Index

Mesos fetcher


The Mesos fetcher is a way by which resources can be downloaded in the task sandbox directory while preparing the task execution. The framework requesting the execution of the task sends a list of CommandInfo::URI values as part of the TaskInfo message, which in turn serves as the Mesos fetcher input.

The Mesos fetcher natively supports the FTP and HTTP protocols, and is also able to copy over files from a filesystem. It also supports all Hadoop client protocols such as Amazon Simple Storage Service (S3), Hadoop distributed Filesystem (HDFS), and so on.

Every Uniform Resource Identifier (URI) that is requested gets downloaded, by default, directly into the sandbox directory. Multiple requests for the same URI results in copies of that resource being downloaded again and again. The downloaded URIs can also alternatively be cached in a specified directory for reuse.

Mechanism

The mechanism comprises the following:

  1. Each slave consists of one internal fetcher instance which is leveraged...