Real-time Analytics with Storm and Cassandra电子书

Real-time Analytics with Storm and Cassandra

Table of Contents

Real-time Analytics with Storm and Cassandra

Credits

About the Author

About the Reviewers

www.PacktPub.com

Support files, eBooks, discount offers, and more

Why subscribe?

Free access for Packt account holders

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Downloading the example code

Errata

Piracy

Questions

1. Let's Understand Storm

Distributed computing problems

Real-time business solution for credit or debit card fraud detection

Aircraft Communications Addressing and Reporting system

Healthcare

Other applications

Solutions for complex distributed use cases

The Hadoop solution

A custom solution

Licensed proprietary solutions

Other real-time processing tools

A high-level view of various components of Storm

Delving into the internals of Storm

Quiz time

Summary

2. Getting Started with Your First Topology

Prerequisites for setting up Storm

Components of a Storm topology

Spouts

Bolts

Streams

Tuples – the data model in Storm

Executing a sample Storm topology – local mode

WordCount topology from the Storm-starter project

Executing the topology in the distributed mode

Set up Zookeeper (V 3.3.5) for Storm

Setting up Storm in the distributed mode

Launching Storm daemons

Executing the topology from Command Prompt

Tweaking the WordCount topology to customize it

Quiz time

Summary

3. Understanding Storm Internals by Examples

Customizing Storm spouts

Creating FileSpout

Tweaking WordCount topology to use FileSpout

The SocketSpout class

Anchoring and acking

The unreliable topology

Stream groupings

Local or shuffle grouping

Fields grouping

All grouping

Global grouping

Custom grouping

Direct grouping

Quiz time

Summary

4. Storm in a Clustered Mode

The Storm cluster setup

Zookeeper configurations

Cleaning up Zookeeper

Storm configurations

Storm logging configurations

The Storm UI

Section 1

Section 2

Section 3

Section 4

The visualization section

Storm monitoring tools

Quiz time

Summary

5. Storm High Availability and Failover

An overview of RabbitMQ

Installing the RabbitMQ cluster

Prerequisites for the setup of RabbitMQ

Setting up a RabbitMQ server

Testing the RabbitMQ server

Creating a RabbitMQ cluster

Enabling the RabbitMQ UI

Creating mirror queues for high availability

Integrating Storm with RabbitMQ

Creating a RabbitMQ feeder component

Wiring the topology for the AMQP spout

Building high availability of components

High availability of the Storm cluster

Guaranteed processing of the Storm cluster

The Storm isolation scheduler

Quiz time

Summary

6. Adding NoSQL Persistence to Storm

The advantages of Cassandra

Columnar database fundamentals

Types of column families

Types of columns

Setting up the Cassandra cluster

Installing Cassandra

Multiple data centers

Prerequisites for setting up multiple data centers

Installing Cassandra data centers

Introduction to CQLSH

Introduction to CLI

Using different client APIs to access Cassandra

Storm topology wired to the Cassandra store

The best practices for Storm/Cassandra applications

Quiz time

Summary

7. Cassandra Partitioning, High Availability, and Consistency

Consistent hashing

One or more node goes down

One or more node comes back up

Replication in Cassandra and strategies

Cassandra consistency

Write consistency

Read consistency

Consistency maintenance features

Quiz time

Summary

8. Cassandra Management and Maintenance

Cassandra – gossip protocol

Bootstrapping

Failure scenario handling – detection and recovery

Cassandra cluster scaling – adding a new node

Cassandra cluster – replacing a dead node

The replication factor

The nodetool commands

Cassandra fault tolerance

Cassandra monitoring systems

JMX monitoring

Datastax OpsCenter

Quiz time

Summary

9. Storm Management and Maintenance

Scaling the Storm cluster – adding new supervisor nodes

Scaling the Storm cluster and rebalancing the topology

Rebalancing using the GUI

Rebalancing using the CLI

Setting up workers and parallelism to enhance processing

Scenario 1

Scenario 2

Scenario 3

Storm troubleshooting

The Storm UI

Storm logs

Quiz time

Summary

10. Advance Concepts in Storm

Building a Trident topology

Understanding the Trident API

Local partition manipulation operation

Functions

Filters

partitionAggregate

Sum aggregate

CombinerAggregator

ReducerAggregator

Aggregator

Operations related to stream repartitioning

Data aggregations over the streams

Grouping over a field in a stream

Merge and join

Examples and illustrations

Quiz time

Summary

11. Distributed Cache and CEP with Storm

The need for distributed caching in Storm

Introduction to memcached

Setting up memcache

Building a topology with a cache

Introduction to the complex event processing engine

Esper

Getting started with Esper

Integrating Esper with Storm

Quiz time

Summary

A. Quiz Answers

Chapter 1

Chapter 2

Chapter 3

Chapter 4

Chapter 5

Chapter 6

Chapter 7

Chapter 8

Chapter 9

Chapter 10

Chapter 11

Index