flume kafka

Todo:The sink of Flume is reconstructed, and the consumer producer (producer) of Kafka is called to send the message;Inherit the Irichspout interface in SOTRM's spout, call Kafka's message consumer (Consumer) to receive the message, and then go through several custom bolts to output the custom contentWriting KafkasinkCopy from $kafka_home/libKafka_2.10-0.8.2.1.jarKafka-clients-0.8.2.1.jarScala-library-2.10.

Structure:Nginx-flume->kafka->flume->kafka (because involved in the cross-room problem, between the two Kafka added a flume, egg pain. )Phenomenon:In the second layer, write Kafka topic

Background: Kafka The completion of the message bus, so that the data of each system can be aggregated in the Kafka node, the next task is to maximize the value of data, let the data "Hui" talk.Environment Preparation:Kafka server.CDH 5.8.3 Server, install Flume,solr,hue,hdfs,zookeeper service.Flume provides a scalable, real-time data transmission channel, Morphl

The data source used in the previous article is to take data from a socket, a bit belonging to the "Heterodoxy", serious is from the Kafka and other message queue to take the data!The main supported source, learned by the official website are as follows:　　The form of data acquisition includes push push and pull pullsfirst, spark streaming integration Flume　　The way of 1.pushMore recommended is the pull meth

1. Background information Many of the company's platforms generate a large number of logs per day (typically streaming data, such as search engine PV, queries, etc.), and processing these logs requires a specific logging system, in general, these systems need to have the following characteristics: (1) Construct the bridge of application system and analysis system, and decouple the correlation between them; (2) Support near real-time online analysis system and similar to the offline analysis sys

1. Background information Many of the company's platforms generate a large number of logs per day (typically streaming data, such as search engine PV, queries, etc.), and processing these logs requires a specific logging system, in general, these systems need to have the following characteristics: (1) Construct the bridge of application system and analysis system, and decouple the correlation between them; (2) Support near real-time online analysis system and similar to the offline analysis syst

-flume-1.5.2-bin/tracklog-kafka/checkpointAgent.channels.m1.datadirs=/opt/modules/apache-flume-1.5.2-bin/tracklog-kafka/datadirAgent.channels.m1.transactionCapacity = 1000000agent.channels.m1.capacity=1000000Agent.channels.m1.checkpointInterval = 30000 Second, the data into the KafkaThe above collect topic need

Flume real-time crawl log data and upload to Kafka 1.Linux OK zookeeper is configured, start zookeeper first sbin/zkserver.sh start (sbin/zkserver.sh Status View startup state) JPS can check to see Le process as Quorumpeermain 2. Start Kafka,zookeeper need to start before Kafka bin/

Originating From: http://my.oschina.net/jinp/blog/350293Some common commands:Storm Related:Storm Nimbus >/dev/null 2>1 >/dev/null 2>1 >/ dev/null 2>1 -ef|grep apache-storm-0.9.2-incubating|grep-v Grep|awk ' {print $} ' | Xargs kill-9Kafka Related:start Kafka. /kafka-server-start.sh. /config/server.properties production message. /kafka-console-producer.sh--broker-

Flume Frame Composition650) this.width=650; "src=" Http://s3.51cto.com/wyfs02/M00/74/0A/wKiom1YPrdjguqxiAAJR5GnVzeg068.jpg "title=" Lesson 23: Practical Cases _flume and Kafka installation. Avi_20151003_183018.077.jpg "alt=" Wkiom1yprdjguqxiaajr5gnvzeg068.jpg "/>Single-node flume configurationflume-1.4.0 Start FlumeBin/flume