flume dc

Installation and configuration of 1.flume1.1 Configuring Java_home, modifying the/opt/cdh/flume-1.5.0-cdh5.3.6/conf/flume-env.sh file　　　　1.2 Configuring HDFS Integration1.2.1 Add HDFs jar package to/opt/cdh/flume-1.5.0-cdh5.3.6/lib directoryCommons-configuration-1.6.jarHadoop-common-2.5.0-cdh5.3.6.jarHadoop-hdfs-2.5.0-cdh5.3.6.jarHadoop-auth-2.5.0-cdh5.3.6.jar1.3

Tag: Data sent stream via example database high availability Val SystemFlume is a log collection system provided by Cloudera, with the characteristics of distributed, high reliability, high availability and so on, the Flume supports the development of various kinds of data transmission in the log system, and Flume provides the ability to handle the data easily and write to the various number of receiver. It

Flume's introduction is not much to say, we can search by ourselves. But the internet is mostly Flume 1.4 version or before the material, Flume 1.5 feeling change is very big, if you are ready to try, I here to introduce you to the minimization of the construction scheme, and use the Mongosink to the data into MongoDB. Completely single-machine operation, no master, no collector (plainly collector is an age

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/flume/1.7.0/apache-

Users can not only customize the source of the Flume, but also customize the flume sink, the user-defined sink in flume only need to inherit a base class: Abstractsink, and then implement the method in it, For example, my current requirement is that as long as the user uses my custom sink, then it needs to provide a file name, if there is a specific path, you nee

Apache Next version (1.6) will bring a new component Kafkachannel, as the name implies is to use Kafka as the channel, of course, in the CDH5.3 version already exists this channel.As you know, there are three main channel commonly used:1, Memory channel: With the channel, the advantage is the fastest, easy to configure; The disadvantage is that the reliability is the worst, because once the flume process hangs the memory of the data is not out;2, File

Big Data We all know about Hadoop, but not all of Hadoop. How do we build a large database project. For offline processing, Hadoop is still more appropriate, but for real-time and relatively strong, data volume is relatively large, we can use storm, then storm and what technology collocation, in order to do a suitable for their own projects.1. What are the characteristics of a good project architecture?2. How does the project structure ensure the accuracy of the data?3. What is Kafka?How does 4.

Flume Simple Introduction When you see this article, you should have a general understanding of the flume but to take care of the students just getting started, so still will say Flume, just start using flume do not need to understand too much inside things, only need to understand the following map can use the

Recently, in the Test Flume combines Kafka with spark streaming experiments. Today, the simple combination of flume and spark to make a record here, to avoid users detours. There are not thoughtful places also want to pass by the great God a lot of advice.The experiment is relatively simple, divided into two parts: first, Use avro-client send data two, Use Netcat Send Datafirst the Spark program requires Tw

Welcome to the big Data and AI technical articles released by the public number: Qing Research Academy, where you can learn the night white (author's pen name) carefully organized notes, let us make a little progress every day, so that excellent become a habit!First, the introduction of flume:Developed by Cloudera, Flume is a system that provides high availability, high reliability, distributed mass log acquisition, aggregation and transmission,

Flume: Used to collect logs and transfer logs to KAKFAKafka: As a cache, store logs from FlumeES: As a storage medium, store logsLogstash: True filtering of logsFlume deploymentGet the installation package, unzip1 wget http://10.80.7.177/install_package/apache-flume-1.7.0-bin.tar.gz tar ZXF apache-flume-1.7.0-bin.tar.gz-c/usr/local/Modify the flumen-env.sh scri

first part single node flume configuration Installation Reference http://flume.apache.org/FlumeUserGuide.html http://my.oschina.net/leejun2005/blog/288136 Here is a simple introduction, the command to run the agent $ bin/flume-ng agent-n $agent _name-c conf-f conf/flume-conf.properties.template 1. The single node configuration is as follows # example.conf:a S

There are two ways, one is sparkstreaming in the driver from listening, flume to push the data, the other is sparkstreaming according to the time policy rotation to flume pull data.At first I thought there was only the first method, but the Nima problem is that driver up the knot is flaky, so every time I restart streaming found that every time to change the flume