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Mastering Apache Storm

You're reading from Mastering Apache Storm Real-time big data streaming using Kafka, Hbase and Redis

Product type Paperback

Published in Aug 2017

Publisher

ISBN-13 9781787125636

Length 284 pages

Edition 1st Edition

Languages

Java

Tools

Apache Storm

Concepts

Big Data

Author (1):

Ankit Jain

View More author details

Table of Contents (13) Chapters

Preface

1. Real-Time Processing and Storm Introduction FREE CHAPTER

2. Storm Deployment, Topology Development, and Topology Options

3. Storm Parallelism and Data Partitioning

4. Trident Introduction

5. Trident Topology and Uses

6. Storm Scheduler

7. Monitoring of Storm Cluster

8. Integration of Storm and Kafka

9. Storm and Hadoop Integration

10. Storm Integration with Redis, Elasticsearch, and HBase

11. Apache Log Processing with Storm

12. Twitter Tweet Collection and Machine Learning

Distributed RPC

Distributed RPC is used to query on and retrieve results from Trident topology on the fly. Storm has an in-built distributed RPC server. The distributed RPC server receives the RPC request from the client and passes it to the Storm topology. The topology processes the request and sends the result to the distributed RPC server, which is redirected by the distributed RPC server to the client.

We can configure the distributed RPC server by using the following properties in the storm.yaml file:

drpc.servers: 
     - "nimbus-node"

Here, nimbus-node is the IP of the distributed RPC server.

Now, run this command on the nimbus-node machine to start the distributed RPC server:

> bin/storm drpc

Let's assume we are storing the count aggregation of hello world Trident topology in a database and want to retrieve the count for a given country on the fly....

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Authors (1)

Jain

Jain

Ankit Jain holds a bachelor's degree in computer science and engineering. He has 6 years, experience in designing and architecting solutions for the big data domain and has been involved with several complex engagements. His technical strengths include Hadoop, Storm, S4, HBase, Hive, Sqoop, Flume, Elasticsearch, machine learning, Kafka, Spring, Java, and J2EE. He also shares his thoughts on his personal blog. You can follow him on Twitter at @mynameisanky. He spends most of his time reading books and playing with different technologies. When not at work, he spends time with his family and friends watching movies and playing games.

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