How are events handled and transmitted in Flume?
Flume is a distributed, reliable, and highly available log collection system that assists users in gathering, aggregating, and transmitting large volumes of log data. The process of event handling and delivery in Flume is as follows:
- Data source sends events: Flume’s data sources can be of various types, such as log files, network data, message queues, etc. The data source will send events to Flume’s Agent.
- The Agent receives events: Flume’s Agent is a lightweight proxy program designed to receive events from data sources. The Agent can be configured with multiple Sources and Sinks to handle different types of events.
- Event handling: After receiving an event, the Agent will process it by cleaning the data, converting formats, filtering data, etc. Users can customize the logic of event processing by configuring plugins.
- Event delivery: After processing an event, the Agent will pass it on to a designated Sink. A Sink is a component used to transfer events to a target storage or downstream system. Flume offers various types of Sinks, such as HDFS, Kafka, and HBase.
- Event transmission: The Sink transfers events to the target storage or downstream systems. Events can pass through multiple agents during the transmission process, enabling multi-level data transfer and processing.
Overall, Flume’s event handling and transferring process includes receiving, processing, transferring, and transmitting events. By configuring different components and plugins, flexible data collection and processing workflows can be achieved. Flume’s design goal is to create a highly reliable and high-performance log collection system suitable for large-scale data collection and processing scenarios.
