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  • Book Overview & Buying Apache Flume: Distributed Log Collection for Hadoop - Second Edition
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Apache Flume: Distributed Log Collection for Hadoop - Second Edition

Apache Flume: Distributed Log Collection for Hadoop - Second Edition - Second Edition

By : Steven Hoffman
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Apache Flume: Distributed Log Collection for Hadoop - Second Edition

Apache Flume: Distributed Log Collection for Hadoop - Second Edition

5 (1)
By: Steven Hoffman

Overview of this book

If you are a Hadoop programmer who wants to learn about Flume to be able to move datasets into Hadoop in a timely and replicable manner, then this book is ideal for you. No prior knowledge about Apache Flume is necessary, but a basic knowledge of Hadoop and the Hadoop File System (HDFS) is assumed.
Table of Contents (11 chapters)
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10
Index

Summary

In this chapter, we covered how to download the Flume binary distribution. We created a simple configuration file that included one source writing to one channel, feeding one sink. The source listened on a socket for network clients to connect to and to send it event data. These events were written to an in-memory channel and then fed to a Log4j sink to become the output. We then connected to our listening agent using the Linux netcat utility and sent some string events to our Flume agent's source. Finally, we verified that our Log4j-based sink wrote the events out.

In the next chapter, we'll take a detailed look at the two major channel types you'll most likely use in your data processing workflows: the memory channel and the file channel.

We will also take a look at a new experimental channel, introduced in Version 1.5 of Flume, called the Spillable Memory Channel, which attempts to be a hybrid of the other two.

For each type, we'll discuss all the configuration...

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Apache Flume: Distributed Log Collection for Hadoop - Second Edition
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