flume vs kafka

Flume and Kakfa example (KAKFA as Flume sink output to Kafka topic)To prepare the work:$sudo mkdir-p/flume/web_spooldir$sudo chmod a+w-r/flumeTo edit a flume configuration file:$ cat/home/tester/flafka/spooldir_kafka.conf# Name The components in this agentAgent1.sources = We

Original link: Kafka combat-flume to KAFKA1. OverviewIn front of you to introduce the entire Kafka project development process, today to share Kafka how to get the data source, that is, Kafka production data. Here are the directories to share today: Data sources

Flume can handle changes to the topology without losing data, and can tolerate periodic reconfiguration due to failover. But if you change the topology every day, then Flume will not work well, because reconfiguration will incur overhead. In short, there are two points:1, data. The data is generated on a regular basis.2, the network topology is relatively stable.Kafka,

1. Background information Many of the company's platforms generate a large number of logs (typically streaming data, such as the PV of search engines, queries, etc.), which require a specific log system, which in general requires the following characteristics: (1) Construct the bridge of application system and analysis system, and decouple the correlation between them; (2) support the near real-time on-line analysis system and the off-line analysis system similar to Hadoop; (3) with high scalabi

The previous introduction of how to use thrift source production data, today describes how to use Kafka sink consumption data.In fact, in the Flume configuration file has been set up with Kafka sink consumption dataAgent1.sinks.kafkaSink.type =Org.apache.flume.sink.kafka.KafkaSinkagent1.sinks.kafkaSink.topic=TRAFFIC_LOGagent1.sinks.kafkaSink.brokerList=10.208.129

http://blog.csdn.net/weijonathan/article/details/18301321Always want to contact storm real-time computing this piece of things, recently in the group to see a brother in Shanghai Luobao wrote Flume+kafka+storm real-time log flow system building documents, oneself also followed the whole, before Luobao some of the articles in some to note not mentioned, some of the wrong points later, In this way I will do t

of various data senders in the log system and collects data, while Flume provides simple processing of data and writes to various data recipients (customizable) capabilities. typical architecture for flume:flume data source and output mode:Flume provides 2 modes from console (console), RPC (THRIFT-RPC), text (file), tail (UNIX tail), syslog (syslog log system, TCP and UDP support), EXEC (command execution) The ability to collect data on a data source

Label:Original: http://mp.weixin.qq.com/s?__biz=MjM5NzAyNTE0Ng==mid=205526269idx=1sn= 6300502dad3e41a36f9bde8e0ba2284dkey= C468684b929d2be22eb8e183b6f92c75565b8179a9a179662ceb350cf82755209a424771bbc05810db9b7203a62c7a26ascene=0 uin=mjk1odmyntyymg%3d%3ddevicetype=imac+macbookpro9%2c2+osx+osx+10.10.3+build (14D136) version= 11000003pass_ticket=hkr%2bxkpfbrbviwepmb7sozvfydm5cihu8hwlvne78ykusyhcq65xpav9e1w48ts1 Although I have always disapproved of the full use of open source software as a system,

Personal opinion: Big data we all know about Hadoop, but not all of it. How do we build a large database project. For offline processing, Hadoop is still more appropriate, but for real-time, relatively strong, the amount of data is large, we can use storm, then storm and what technology collocation, to be able to do a suitable project. We can refer to the following.You can read this article with the following questions:1. What are the characteristics of a good project architecture?2. How does th

Http://www.aboutyun.com/thread-6855-1-1.htmlPersonal opinion: Big data we all know about Hadoop, but not all of it. How do we build a large database project. For offline processing, Hadoop is still more appropriate, but for real-time, relatively strong, the amount of data is large, we can use storm, then storm and what technology collocation, to be able to do a suitable project. We can refer to the following.You can read this article with the following questions:1. What are the characteristics o

Use flume + kafka + storm to build a real-time log analysis system. Using flume + kafka + storm to build a real-time log analysis system this article only involves the combination of flume and kafka. for the combination of

--zookeeper hadoop-master:2181,hadoop-slave1:2181,hadoop-slave2:2181--replication-factor 1--partitions 2--topic flume_kafka view topic:bin/kafka-topics.sh--list--zookeeper hadoop-master:2181 in Kafka, hadoop-slave1:2181,hadoop-slave2:2181 Start Kafka Consumer:./kafka-console-consumer.sh--zookeeper Hadoop-master : 2181,

This article is a self-summary of learning, used for later review. If you have any mistake, don't hesitate to enlighten me.Here are some of the contents of the blog: http://blog.csdn.net/ymh198816/article/details/51998085Flume+kafka+storm+redis Real-time Analysis system basic Architecture1) The architecture of the entire real-time analysis system is2) The Order log is generated by the order server of the e-commerce system first,3) Then use

Flume is a real-time message collection system, it defines a variety of source, channel, sink, can be selected according to the actual situation.Flume Download and Documentation:http://flume.apache.org/KafkaKafka is a high-throughput distributed publish-subscribe messaging system that has the following features: Provides persistence of messages through the disk data structure of O (1), a structure that maintains long-lasting performance even

Acquisition Layer Flume can be used mainly , Kafka two kinds of technology. Flume:Flume is a pipeline flow method that provides a number of default implementations that allow users to deploy through parameters and extend the API. Kafka:Kafka is a durable, distributed message queue. The Kafka is a very versatile system. You can have many producers a

Acquisition Layer can be used mainly Flume, Kafka two kinds of technology. Flume:Flume is a pipeline flow method that provides a number of default implementations that allow users to deploy through parameters and extend the API. Kafka:Kafka is a durable, distributed message queue. The Kafka is a very versatile system. You can have many producers and m

Flume integrated Kafka:flume capture business log, sent to Kafka installation deployment KafkaDownload1.0.0 is the latest release. The current stable version was 1.0.0.You can verify your download by following these procedures and using these keys.1.0.0 Released November 1, 2017 Source download:kafka-1.0.0-src.tgz (ASC, SHA512) Binary Downloads: Scala 2.11-kafka_2.11-1.0

Flume is an excellent data acquisition component, some heavyweight, its nature is based on the query results of SQL statements assembled into OPENCSV format data, the default separator symbol is a comma (,), you can rewrite opencsv some classes to modify 1, download [Root@hadoop0 bigdata]# wget http://apache.fayea.com/flume/1.6.0/apache-flume-1.6.0-bin.tar.gz 2

Implementation Architecture A scenario implementation architecture is shown in the following illustration: Analysis of 3.1 producer layer Service assumptions within the PAAs platform are deployed within the Docker container, so to meet non-functional requirements, another process is responsible for collecting logs, thus not intruding into service frameworks and processes. Using flume ng for log collection, this open source component is very powerful

Flume+kafka IntegrationFirst, the preparatory workPrepare 5 intranet servers to create Zookeeper and Kafka clustersServer address:192.168.2.240192.168.2.241192.168.2.242192.168.2.243192.168.2.244Server System: Centos 6.5 Download the installation packageZookeeper:http://apache.fayea.com/zookeeper/zookeeper-3.4.6/zookeeper-3.4.6.tar.gzFlume:http://apache.fayea.com