By Steve Hoffman
About This Book
- Construct a sequence of Flume brokers utilizing the Apache Flume carrier to successfully acquire, combination, and movement quite a lot of occasion data
- Configure failover paths and cargo balancing to take away unmarried issues of failure
- Use this step by step consultant to circulate logs from software servers to Hadoop's HDFS
Who This publication Is For
If you're a Hadoop programmer who desires to know about Flume as a way to flow datasets into Hadoop in a well timed and replicable demeanour, then this e-book is perfect for you. No previous wisdom approximately Apache Flume is important, yet a uncomplicated wisdom of Hadoop and the Hadoop dossier method (HDFS) is assumed.
What you are going to Learn
- Understand the Flume structure, and in addition tips on how to obtain and set up open resource Flume from Apache
- Follow alongside a close instance of transporting weblogs in close to genuine Time (NRT) to Kibana/Elasticsearch and archival in HDFS
- Learn assistance and methods for transporting logs and information on your creation environment
- Understand and configure the Hadoop dossier approach (HDFS) Sink
- Use a morphline-backed Sink to feed information into Solr
- Create redundant information flows utilizing sink groups
- Configure and use numerous assets to ingest data
- Inspect information documents and circulate them among a number of locations according to payload content
- Transform info en-route to Hadoop and display screen your info flows
Apache Flume is a disbursed, trustworthy, and to be had carrier used to successfully gather, combination, and circulation quite a lot of log information. it really is used to circulate logs from program servers to HDFS for advert hoc analysis.
This ebook starts off with an architectural review of Flume and its logical parts. It explores channels, sinks, and sink processors, via resources and channels. by way of the top of this e-book, you'll be totally outfitted to build a chain of Flume brokers to dynamically shipping your movement info and logs out of your platforms into Hadoop.
A step by step booklet that courses you thru the structure and parts of Flume masking varied methods, that are then pulled jointly as a real-world, end-to-end use case, progressively going from the easiest to the main complex features.
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Extra info for Apache Flume: Distributed Log Collection for Hadoop - Second Edition
Apache Flume: Distributed Log Collection for Hadoop - Second Edition by Steve Hoffman