12/18/2023 0 Comments Apache flumeThe architecture isįlexible enough to support multiple flume agents in order to sink forward theĮvent to the flume source of next flume agent deployed in the actual flow. The channel may store these events by using a local file system.Īre removed from a channel through the Flume sink and get stored into anĮxternal repository such as HDFS or Hadoop Ecosystem. TheĬhannel here acts as a store that keeps the event until it is ingested by theįlume sink. Source receives an event which gets stored into one or more Flume channels. Source uses the recognized data format of the target data source to send events Here Web Server which are consumed by Flume Data Source. The help of these three components propagate the events after it has been initiatedĪt an external source such as Web Server, Twitter application, etc.Īrchitecture diagram, the events are generated by external data source i.e. It works similar to Unix ‘tail’Īpplications to write events to files in HDFS via Flume.Ī JVM process. Local file and write into HDFS via Flume. Keeping in mind about the need to fetch the streaming data. Streaming data such as tweets generated at Twitter, log files generated by a ItĪrchitecture where the code is written (known as ‘agent’) that takes care of It does not store any personal data.A tool which is used for moving the bulk streaming data into HDFS echo system. The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. The cookie is used to store the user consent for the cookies in the category "Performance". This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. The cookies is used to store the user consent for the cookies in the category "Necessary". The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". The cookie is used to store the user consent for the cookies in the category "Analytics". These cookies ensure basic functionalities and security features of the website, anonymously. Necessary cookies are absolutely essential for the website to function properly. Given this configuration file, we can start Flume as follows: A given configuration file might define several named agents when a given Flume process is launched a flag is passed telling it which named agent to manifest. The configuration file names the various components, then describes their types and configuration parameters. a1 has a source that listens for data on port 44444, a channel that buffers event data in memory, and a sink that logs event data to the console. This configuration defines a single agent named a1. # nf: A single-node Flume configuration # Name the components on this agent a1.sources = r1 a1.sinks = k1 a1.channels = c1 # Describe/configure the source a1.sources.r1.type = netcat a1.sources.r1.bind = localhost a1.sources.r1.port = 44444 # Describe the sink a1.sinks.k1.type = logger # Use a channel which buffers events in memory a1.channels.c1.type = memory a1.channels.c1.capacity = 1000 a1.channels.c1.transactionCapacity = 100 # Bind the source and sink to the channel a1.sources.r1.channels = c1 a1.sinks.k1.channel = c1 The source and sink within the given agent run asynchronously with the events staged in the channel. 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. 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.When a Flume source receives an event, it stores it into one or more channels. 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 source consumes events delivered to it by an external source like a web server.
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