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.
- 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.
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