flume installation

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-

source code into the installation directory Apache-flume-1.6.0-binTo configure environment variables:[Email protected] ~]$ vim ~/.bash_profileExport flume_home=/home/lan/apache-flume-1.6.0-bin/Export path= $PATH: $FLUME _home/binTo test whether the Flume-ng was installed su

This paper will take timestampinterceptor as an example to analyze how interceptors work in Flume.First, consider the implementation structure of the Interceptor.1. Interceptor interface is realizedThe method of the interface is defined as follows: public void Initialize (); Public event intercept (event event); Public list public void close ();/** Builder implementations must have a no-arg constructor * * Public Interface Builder extends configurable { Publ IC Interceptor Build (); }2.

{ return null; } }4. Return to a usable sinkIf a failure occurs, then look at the execution logic of the first half of the code in the process:Long now = System.currenttimemillis (); while (!failedsinks.isempty () Failedsinks.peek (). Getrefresh () Prerequisites: Failedsinks is not empty and the sink activation time of the team header is less than the current time1, poll out the queue of the first Failedsink2, using the current sink processing, if the processing is successful, then

Directory2. Htttp Source: Collect logs in HTTP3. Kafka Source: Collect logs from Kafka......The collected logs need to be cached, and Flume provides the channel component to cache the data.2. Channel function: Cache logChannel type: 1, Memory Channel: Cache to RAM (most commonly used)2. JDBC Channel: Cached in the relational database via JDBC3. Kafka Channel: Cache to Kafka......The cached data ultimately needs to be saved, and

ObjectiveFirst look at the definition of event in Flume official websiteA line of text content is deserialized into an event "serialization is the process of converting an object's state into a format that can be persisted or transmitted. Relative to serialization is deserialization, which transforms a stream into an object. These two processes combine to make it easy to store and transfer data ", the maximum definition of event is 2048 bytes, exceedi

From Bin/flume this shell script can see Flume starting from the Org.apache.flume.node.Application class, which is where the main function of Flume is.The Main method first parses the shell command, assuming that the specified configuration file does not exist and then dumps the exception.According to the command contains the "no-reload-conf" parameters, decided

Recently, an ELK architecture is used for log collection. the intermediate data collection is changed from logstash to flume. The following is the installation of flume: because flume and Elasticsearch are both developed in java, so the java is deployed before installation,

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

Flume load Balancing is the choice of a certain algorithm per sink output to the specified place, if the file output is very large, load balancing is still necessary, through the output of multiple channels to alleviate the output pressureFlume built-in load balancing algorithm by default is round robin, polling algorithm, ordered selectionHere's a look at the specific examples:# Name The components in this agenta1.sources = R1a1.sinks = K1 k2a1.chann

IconAs shown in the Red box section, I do stability testing, when the flume run a few days later, I found that the counter value gradually become larger, to a certain value, and then become smaller, there is a cycle of the process, and therefore the desire to produce research, the following to see:if (Txneventcount = = 0) { sinkcounter.incrementbatchemptycount (); } else if (Txneventcount = = batchsize) { Sinkcounter.incrementbatchc

internal selection of a valid sink for processingThe exception section, we found that triggered the informsinkfailed () method, let's take a look at the methodpublic void Informfailure (T failedobject) {//if There are no Backoff this method is a no-op. if (!shouldbackoff) {return; } failurestate state = Statemap.get (Failedobject); Long now = System.currenttimemillis (); Long delta = now-state.lastfail; /* * When do we increase the Backoff period? * We Basically calculate the ti

Tag: Connect a storage span through the self-starter installation package StrongOverview Flume is a distributed, reliable, and highly available system for collecting, aggregating, and transmitting large volumes of logs. Flume can collect files,socket packets and other forms of source data, but also can export the collected data to HDFS,hbase , Many

Multiplexing technology is intended to send an event to a specific channel based on configuration information.A source instance can specify multiple channels, but a sink instance can only specify one channel.Flume supports fanning out the flow from one source to multiple channels. There is modes of fan out, replicating and multiplexingFlume supports two modes of output from source to multiple channel: copy and Reuse1. In copy mode, the event data received by source is output to all channel confi

Basic concepts of flume, data stream model, and flume data stream1. Basic concepts of flume AllFlumeAll related terms are in italic English. The meanings of these terms are as follows. FlumeA reliable and distributed system for collecting, aggregating, and transmitting massive log data. Web ServerOne generationEvents. Agent flumeA node in the system contains thre

.flume can support multi-level flume agent, support fan-in (fan-in), fan-out (fan-out).Fan-in refers to: source can receive multiple inputsFan-out refers to: sink can output multiple destinationsFlume Installation:1. Unzip each of these two files in the node:2. Copy the SRC content to the bin: Cp-ri apache-flume