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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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Index

Chapter 3. Channels

In Flume, a channel is the construct used between sources and sinks. It provides a buffer for your in-flight events after they are read from sources until they can be written to sinks in your data processing pipelines.

The primary types we'll cover here are a memory-backed/nondurable channel and a local-filesystem-backed/durable channel. Starting with Flume 1.5, an experimental hybrid memory and file channel called the Spillable Memory Channel is introduced. The durable file channel flushes all changes to disk before acknowledging the receipt of the event to the sender. This is considerably slower than using the nondurable memory channel, but it provides recoverability in the event of system or Flume agent restarts. Conversely, the memory channel is much faster, but failure results in data loss and it has much lower storage capacity when compared to the multiterabyte disks backing the file channel. This is why the Spillable Memory Channel was created. In...

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