Apache Flume – log data aggregation and more

Apache Flume is an open source, scalable, distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms. It uses a simple extensible data model that allows for online analytic application.

The system is centrally managed and allows for intelligent dynamic management. It uses a simple extensible data model that allows for online analytic applications.

The main goal of Apache Flume is to deliver data from applications to Apache Hadoop’s HDFS. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with tunable reliability mechanisms and many failover and recovery mechanisms. It uses a simple extensible data model that allows for online analytic applications.

Features include:

  • Complex flows:
    • build multi-hop flows where events travel through multiple agents before reaching the final destination.
    • fan-in and fan-out flows.
    • contextual routing.
    • backup routes (fail-over) for failed hops.
  • Channel-based transactions to guarantee reliable message delivery.
  • Supports a durable file channel which is backed by the local file system. Events are staged in the channel, which manages recovery from failure.
  • High performance persistent channel – the File Channel.
  • ElasticSearch Sink.
  • Create a SpoolDirectory Source and Client.
  • Regex Extractor Interceptor.
  • Load Balancing RPC client.
  • Hive Sink based on the new Hive Streaming support.
  • End to End authentication in Flume.
  • Simple regex search-and-replace interceptor.

Website: flume.apache.org
Support: User Guide
Developer: The Apache Software Foundation
License: Apache License 2.0

Apache Flume is written in Java. Learn Java with our recommended free books and free tutorials.

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