flume app

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 resolves the shell command, throwing an exception if the specified configuration file does not exist. According to the command contains "no-reload-conf" parameters, decide which way to load t

This article is a simple example of the flume official document in the practice and description of the official example Http://flume.apache.org/FlumeUserGuide.html#a-simple-example Flume's Netcat source automatically creates a socket Server that can fetch data simply by sending the data to the netcat source of this socket,flume. Examples are as follows: 1, first configure the agent: in Flume's conf dire

the corresponding subdirectories. In the actual use of the process, can be used in conjunction with log4j, when using log4j, the log4j file segmentation mechanism is set to 1 minutes, the file is copied to the spool monitoring directory. LOG4J has a timerolling plug-in that can put log4j split files into the spool directory. The basic realization of real-time monitoring. Flume after the file is passed, the suffix of the file will be modified and chan

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

Project requirements is the online server generated log information real-time import Kafka, using agent and collector layered transmission, app data passed through the thrift to agent,agent through Avro Sink to send the data to collector, Collector The data together and sends it to Kafka, the topology is as follows: The problems encountered during debugging and the resolution are documented as follows: 1, [Error-org.apache.thrift.server.abstractno

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

1. Introduction to Flume Flume is a distributed, reliable, andHigh AvailabilityA system that aggregates massive logs. It supports customization of various data senders to collect data. Flume also provides simple processing of data and writes it to various data receivers (customizable) capabilities.Design goals: (1) Reliability When a node fails, logs can be trans

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

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

I. Introduction of FlumeFlume is a distributed, reliable, and highly available mass-log aggregation system that enables the customization of various data senders in the system for data collection, while Flume provides the ability to simply process the data and write to various data-receiving parties (customizable).Design objectives:(1) ReliabilityWhen a node fails, the log can be transmitted to other nodes without loss.

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

1. Flume Create configuration file Flume-spark-tail-conf.properties# The configuration file needs to define the sources, # the channels and the sinks.# Sources, channels and sinks are defined per agent, # in this case called ‘agent‘a2.sources = r2a2.channels = c2a2.sinks = k2### define sourcesa2.sources.r2.type = execa2.sources.r2.command = tail -F /opt/datas/spark_word_count.loga2.sources.r2.shell = /bin/b

good performance where multiple disks is not available for checkpoint and data Directori Es.It is natural that the channel data is synchronized to disk and performance degrades, but the checkpoint mechanism is added to prevent data loss.For the deformed memory channel, which is the memory channel and the file channel used together, we do not explain here, because this mixed use, the official also give hints-not recommended in the production environment to use.The reason for this is that data lo

a certain range, it will flushprivate void Flusheventbatch (listFlush is the event in the EventList that is now being saved and emptied1. Put the event into the configured channelFor (event event:events) { listHere is the detailed procedure for putting the event into the channel, but here you notice that there are two selector getchannel methods, because there are two types of channel selector modes: Multiplexing and Replication if (restart) { logger.info ("Restarting in {}ms, ex

./pssh-h./host/all.txt-p Mkdir/usr/local/app./pssh-h./host/all.txt-p Tar zxf/usr/local/software/apache-flume-1.6.0-bin.tar.gz-c/usr/local/app./pssh-h./host/all.txt-p mv/usr/local/app/apache-flume-1.6.0-bin/usr/local/app/apache-

of the similar problem of downtime, more or less there will be a small amount of data loss or repeated consumption problems, One solution is for the Kafka broker and zookeeper to be deployed on the same machine.7) The next step is to use the user-defined storm topology to analyze the log information and output it to the Redis cache database (which can also be persisted), and finally use the Web app to read the analyzed order information in Redis and

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