1. overview-"three Functions of flume"collecting, aggregating, and movingCollect aggregation Moves2. Block diagram 3. Architectural Features-"on Streaming Data flowsstreaming-based dataData flow: job-"get Data continuously"Task Flow: JOB1->JOB2->JOB3JOB4-"for Online analytic application.-"flume is only running in the Linux environmentWhat if my log server is windows?-"very SimpleWrite a configuration file,
1, Flume is a distributed, reliable, and highly available large-volume log aggregation system , to support the customization of various types of data senders in the system for data collection, while Flume provides simple processing of data and written to a variety of data recipients (customizable) ability.2, an independent flume process called the agent, containi
Last time Flume+kafka+hbase+elk:http://www.cnblogs.com/super-d2/p/5486739.html was implemented.This time we can add storm:storm-0.9.5 simple configuration is as follows:Installation dependencieswget http://download.oracle.com/otn-pub/java/jdk/8u45-b14/jdk-8u45-linux-x64.tar.gztar ZXVF jdk-8u45-linux-x64.tar.gzcd jdk-8u45-linux-/etc/profileAdd the following: Export Java_home =/home/dir/jdk1. 8 . 0_45export CLASSPATH=.: $JAVA _home/jre/lib/rt.jar: $JAVA
Flume Introduction and use (i)Flume IntroductionFlume is a distributed, reliable, and practical service that efficiently collects, integrates, and moves massive amounts of data from different data sources. Distributed: Multiple machines can simultaneously run the acquisition data, different agents before the transmission of data over the networkReliable: Flume w
Overview
Flume: A distributed, reliable, and usable service for efficiently collecting, aggregating, and moving large-scale log data
We build a flume + Spark streaming platform to get data from flume and process it.
There are two ways to do this: Use the push-based method of Flume-style, or use a custo
entire data transfer process, the event is flowing. The transaction guarantee is at the event level. Flume can support multi-level flume agent, support fan-in (fan-in), fan-out (fan-out).Second, the Environment preparation1) Hadoop cluster (landlord version 2.7.3, a total of 6 nodes, can refer to http://www.cnblogs.com/qq503665965/p/6790580.html)2) Flume cluster
http://flume.apache.org/install 1, upload 2, unzip 3, modify the JDK directory in the conf/flume-env.sh file Note: java_opts configuration If we transfer the file too large reported memory overflow need to modify this configuration item 4, Verify that the installation was successful./flume-ng VERSION5, configuring environment variables export Flume_home=/home/apache-flu
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 method. Introduce dependencies: Dependency
first, Flume basic part:Flume--Log collection framework background: Log scattered across the machine, and want to use the big data platform for statistical analysis from other servers to collect log movement to the cluster, and can monitor, need to be timeliness, fault tolerance, load balancing Flume generally by configuring configuration File for an overview of the collection of data: flume.apache.org dist
Tags: commandsThe command in the CD command-linux to switch the user's current directory is the change directory abbreviationGrammar. Represents the user's current directory,.. Represents the upper-level directory of the current directoryCD (options) (parameters)Option-P The directory to be toggled is a symbolic link that switches directly to the destination directory to which the symbolic connection is directed.Option-L If the destination directory t
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.
The function of this class is to split the content in the file by line and insert the content into the column1 and column2 columns respectively. The rowKey is the current time. Flume-
The function of this class is to split the content in the file by line and insert the content into the column1 and column2 columns respectively. The rowKey is the current time. Flume-
This article introduces
Flume, as a real-time log collection system developed by Cloudera, has been recognized and widely used by the industry. The initial release version of Flume is now collectively known as Flume OG (original Generation), which belongs to Cloudera. But with the expansion of the FLume function,
Forwarded from the Mad BlogHttp://www.cnblogs.com/lxf20061900/p/3866252.htmlSpark Streaming is a new real-time computing tool, and it's fast growing. It converts the input stream into a dstream into an rdd, which can be handled using spark. It directly supports a variety of data sources: Kafka, Flume, Twitter, ZeroMQ, TCP sockets, etc., there are functions that can be manipulated:,,, map reduce joinwindow等。This article will connect spark streaming and
Flume Learning application: Write log data to MongoDB and flumemongodb in JavaOverview
Windows: Java writes logs to Flume, and Flume writes the logs to MongoDB. System Environment
Operating System: win7 64
JDK: 1.6.0 _ 43
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Maven: 3.3.3Download, install, and get started: 1. Maven-start and 2. Create a simple Maven Project
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