apache flume architecture
The architecture of Apache Flume is composed of three main components: sources, channels, and sinks.
Sources: Sources are responsible for ingesting data from external sources such as logs or events. Flume supports a wide range of sources including HTTP, syslog, and netcat, and users can also develop custom sources using the Flume SDK. Once data is ingested, it is passed on to the next stage of the pipeline, the channels.
Channels: Channels are responsible for buffering incoming data from sources before it is delivered to sinks. Flume supports different types of channels, including memory channels and file channels, which provide different levels of durability and throughput. Channels also support transactional semantics, ensuring that data is reliably delivered to the sinks even in the event of failures.
Sinks: Sinks are responsible for delivering data from channels to the destination data store such as HDFS, HBase, or Apache Solr. Flume supports a variety of built-in sinks, including HDFS sink, HBase sink, and Solr sink, and users can also develop custom sinks using the Flume SDK.
In addition to these core components, Flume provides a flexible and robust event routing mechanism that allows users to define complex routing rules for data flow within their data pipelines. This allows users to route data to different sinks based on various criteria, such as the data source, data type, and content.
Flume also provides a master-slave architecture, where the Flume agent on each node is managed by a central Flume master node. The master node is responsible for coordinating the data transfer pipeline and monitoring the health and status of the agents.