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You're reading from  Apache Flume: Distributed Log Collection for Hadoop

Product typeBook
Published inFeb 2015
Reading LevelIntermediate
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ISBN-139781784392178
Edition1st Edition
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Steven Hoffman
Steven Hoffman
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Steven Hoffman

Steve Hoffman has 32 years of experience in software development, ranging from embedded software development to the design and implementation of large-scale, service-oriented, object-oriented systems. For the last 5 years, he has focused on infrastructure as code, including automated Hadoop and HBase implementations and data ingestion using Apache Flume. Steve holds a BS in computer engineering from the University of Illinois at Urbana-Champaign and an MS in computer science from DePaul University. He is currently a senior principal engineer at Orbitz Worldwide (http://orbitz.com/). More information on Steve can be found at http://bit.ly/bacoboy and on Twitter at @bacoboy. This is the first update to Steve's first book, Apache Flume: Distributed Log Collection for Hadoop, Packt Publishing.
Read more about Steven Hoffman

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Event Serializers


An Event Serializer is the mechanism by which a FlumeEvent is converted into another format for output. It is similar in function to the Layout class in log4j. By default, the text serializer, which outputs just the Flume event body, is used. There is another serializer, header_and_text, which outputs both the headers and the body. Finally, there is an avro_event serializer that can be used to create an Avro representation of the event. If you write your own, you'd use the implementation's fully qualified class name as the serializer property value.

Text output

As mentioned previously, the default serializer is the text serializer. This will output only the Flume event body, with the headers discarded. Each event has a newline character appender unless you override this default behavior by setting the serializer.appendNewLine property to false.

Key

Required

Type

Default

Serializer

No

String

text

serializer.appendNewLine

No

boolean

true

Text with headers...

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Apache Flume: Distributed Log Collection for Hadoop
Published in: Feb 2015Publisher: ISBN-13: 9781784392178

Author (1)

author image
Steven Hoffman

Steve Hoffman has 32 years of experience in software development, ranging from embedded software development to the design and implementation of large-scale, service-oriented, object-oriented systems. For the last 5 years, he has focused on infrastructure as code, including automated Hadoop and HBase implementations and data ingestion using Apache Flume. Steve holds a BS in computer engineering from the University of Illinois at Urbana-Champaign and an MS in computer science from DePaul University. He is currently a senior principal engineer at Orbitz Worldwide (http://orbitz.com/). More information on Steve can be found at http://bit.ly/bacoboy and on Twitter at @bacoboy. This is the first update to Steve's first book, Apache Flume: Distributed Log Collection for Hadoop, Packt Publishing.
Read more about Steven Hoffman