8/19/2023 0 Comments Flume pro license code gen![]() In the case of a multi-hop flow, the sink from the previous hop and the source from the next hop both have their transactions running to ensure that the data is safely stored in the channel of the next hop. This ensures that the set of events are reliably passed from point to point in the flow. The sources and sinks encapsulate in a transaction the storage/retrieval, respectively, of the events placed in or provided by a transaction provided by the channel. This is a how the single-hop message delivery semantics in Flume provide end-to-end reliability of the flow.įlume uses a transactional approach to guarantee the reliable delivery of the events. The events are removed from a channel only after they are stored in the channel of next agent or in the terminal repository. The events are then delivered to the next agent or terminal repository (like HDFS) in the flow. Reliability – The events are staged in a channel on each agent. ![]() It also allows fan-in and fan-out flows, contextual routing and backup routes (fail-over) for failed hops. The source and sink within the given agent run asynchronously with the events staged in the channel.Ĭomplex Flows – Flume allows a user to build multi-hop flows where events travel through multiple agents before reaching the final destination. The sink removes the event from the channel and puts it into an external repository like HDFS (via Flume HDFS sink) or forwards it to the Flume source of the next Flume agent (next hop) in the flow. The file channel is one example – it is backed by the local filesystem. The channel is a passive store that keeps the event until it’s consumed by a Flume sink. When a Flume source receives an event, it stores it into one or more channels. ![]() ![]() A similar flow can be defined using a Thrift Flume Source to receive events from a Thrift Sink or a Flume Thrift Rpc Client or Thrift clients written in any language generated from the Flume thrift protocol. For example, an Avro Flume source can be used to receive Avro events from Avro clients or other Flume agents in the flow that send events from an Avro sink. The external source sends events to Flume in a format that is recognized by the target Flume source. A Flume agent is a (JVM) process that hosts the components through which events flow from an external source to the next destination (hop).Ī Flume source consumes events delivered to it by an external source like a web server. You can think of the source-channel-sink combination as a basic Flume building block.ĭata flow model – A Flume event is defined as a unit of data flow having a byte payload and an optional set of string attributes. A source in Flume produces events and delivers them to the channel, which stores the events until they are forwarded to the sink. To use Flume, we need to run a Flume agent, which is a long-lived Java process that runs sources and sinks, connected by channels. Directory Permissions – Read/Write permissions for directories used by agent.Disk Space – Sufficient disk space for configurations used by channels or sinks.Memory – Sufficient memory for configurations used by sources, channels or sinks.Java Runtime Environment – Java 1.6 or later (Java 1.7 Recommended).There are currently two release code lines available, versions 0.9.x and 1.x. Since data sources are customizable, Flume can be used to transport massive quantities of event data including but not limited to network traffic data, social-media-generated data, email messages and pretty much any data source possible. The use of Apache Flume is not only restricted to log data aggregation. ![]() Flume is designed for high-volume ingestion into Hadoop of event-based data. Apache Flume is a distributed, reliable, and available system for efficiently collecting, aggregating and moving large amounts of log data from many different sources to a centralized data store. ![]()
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