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Data Lake for Enterprises

You're reading from   Data Lake for Enterprises Lambda Architecture for building enterprise data systems

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787281349
Length 596 pages
Edition 1st Edition
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Authors (3):
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Pankaj Misra Pankaj Misra
Author Profile Icon Pankaj Misra
Pankaj Misra
Tomcy John Tomcy John
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Tomcy John
Vivek Mishra Vivek Mishra
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Vivek Mishra
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introduction to Data FREE CHAPTER 2. Comprehensive Concepts of a Data Lake 3. Lambda Architecture as a Pattern for Data Lake 4. Applied Lambda for Data Lake 5. Data Acquisition of Batch Data using Apache Sqoop 6. Data Acquisition of Stream Data using Apache Flume 7. Messaging Layer using Apache Kafka 8. Data Processing using Apache Flink 9. Data Store Using Apache Hadoop 10. Indexed Data Store using Elasticsearch 11. Data Lake Components Working Together 12. Data Lake Use Case Suggestions

Flume agent


Flume agent is the smallest possible deployment comprising of Source, Channel and Sink as its main components. The following figure shows a typical Flume agent deployment:

Figure 14: Flume Agent components

Flume agent is a Java daemon which received event from a source and then passes onto a channel, where it is usually written to the disk (according to reliability level set) and then moves the event to the sink. When the sink receives the event it sends acknowledgement back to channel and channel erases the event from its store. The agent has a very small memory footprint (-Xmx20m) and can be controlled declaratively using configurations.

Flume agent configurations

Some of these aspects have been unintentionally discussed in details in the Flume architecture section, however we thought that separate section for these agent configuration is required. Since we don't want to repeat ourselves, we will be referring some aspects back to that section.

The following are main configurations...

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