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Hadoop Essentials

You're reading from   Hadoop Essentials Delve into the key concepts of Hadoop and get a thorough understanding of the Hadoop ecosystem

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781784396688
Length 194 pages
Edition 1st Edition
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Author (1):
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Shiva Achari Shiva Achari
Author Profile Icon Shiva Achari
Shiva Achari
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Toc

Table of Contents (9) Chapters Close

Preface 1. Introduction to Big Data and Hadoop FREE CHAPTER 2. Hadoop Ecosystem 3. Pillars of Hadoop – HDFS, MapReduce, and YARN 4. Data Access Components – Hive and Pig 5. Storage Component – HBase 6. Data Ingestion in Hadoop – Sqoop and Flume 7. Streaming and Real-time Analysis – Storm and Spark Index

Examples of configuring Flume


Flume can be configured as a Single Agent or Multi Agent; we will see the respective examples in the upcoming sections.

The Single agent example

We will look at an example of the logger example and save it in HDFS and a memory channel, using the following code:

# Source of an Agent with tail
agent.source = source_log-tail
agent.sources.source_log-tail.type = exec
agent.sources.source_log-tail.command = tail -F /log/logger.log
agent.sources.source_log-tail.channels = memoryChannel

# Sink of an Agent to save in HDFS
agent.sinks = log-hdfs
agent.sinks.log-hdfs.channel = memoryChannel
agent.sinks.log-hdfs.type = hdfs
agent.sinks.log-hdfs.hdfs.path = /log/logger.log

# Channel of an Agent to store in memory
agent.channels = memoryChannel
agent.channels.memoryChannel.type = memory
agent.channels.memoryChannel.capacity = 10000
agent.channels.memoryChannel.transactionCapacity = 10000
agent.channels.memoryChannel.byteCapacityBufferPercentage = 20
agent.channels.memoryChannel...
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