how to upload on flume

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The Kafkachannel of Flume-ng

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 architecture: FLUME-NG+KAFKA+STORM+HDFS real-time system combination

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.

apache-flume-1.7.x Configuration Installation _ Operation dimension

Http://blog.csdn.net/alphags/article/details/52862578?locationNum=10fps=1 This article mainly refers to from the Apache Flume user documentation (http://flume.apache.org/FlumeUserGuide.html), because the Apache Flume 1.X Chinese resources are not many, So here's the process of documenting my deployment, hoping to give some hints to people with the same needs.(A lot of English documents, here only write so

Flume-based Log collection system (ii) Improvement and optimization

Question Guide: What is the problem with 1.Flume? 2. What are the additional features of Flume based on open source? How the 3.Flume system is tuned. In the flume-based log collection system (a) architecture and design, we detail the architecture design of the flume

Pull data to Flume in Spark streaming

Here are the solutions to seehttps://issues.apache.org/jira/browse/SPARK-1729Please be personal understanding, there are questions please leave a message.In fact, itself Flume is not support like Kafka Publish/Subscribe function, that is, can not let spark to flume pull data, so foreigners think of a trickery way.In flume in fact sinks is to the channel initiativ

Flume-Installation and launch instructions

Install flume 1, to the official website download flume, download address: http://flume.apache.org/download.html 2, [root@bicloud77 home]# tar zxvf apache-flume-1.5.2-bin.tar.gz 3, [root@bicloud77 home]# CD Apache-flume-1.5.2-bin 4,[root@bicloud76 apache-flume-1.5.2-bin]# b

Using flume data sources in spark

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

Flume Log Capture Tool

Flume is a highly available, highly reliable, distributed mass log capture, aggregation, and transmission system provided by Cloudera, Flume supports the customization of various data senders in the log system for data collection, while Flume provides simple processing of data The ability to write to various data-receiving parties (customizable). The current

Flume running error collection

1) hostname error: 2011-11-14 11:44:55,497 ERROR com.cloudera.util.NetUtils: Unable to get canonical host name! test: test java.net.UnknownHostException: test: test at java.net.InetAddress.getLocalHost(InetAddress.java:1354) at com.cloudera.util.NetUtils. Error cause: IP address cannot be obtained from hostname Solution: add the host name to IP address ing in the/etc/hosts file. 2) Java does not follow line 234: exec: java: not found Error cause: the Java command does not exist.

Flume Real-time collection of logs

In the distributed system, each machine has the local log that the program runs, sometimes in order to analyze the demand, have to these scattered log summary requirements, I believe many people will choose RSYNC,SCP, but they are not strong in real-time, but also bring the problem of name conflict. The scalability is not satisfactory, not elegant at all.In reality, we are confronted with the need to summarize the Nginx logs of multiple servers on the line in real time.

Flume, Sqoop, Oozie

In a complete large data processing system, in addition to the core of the Hdfs+mapreduce+hive composition Analysis system, data acquisition, result data export, task scheduling and other indispensable auxiliary systems are needed, and these auxiliary tools are There is a convenient open source framework in the Hadoop ecosystem. Log capture framework FlumeFlume is a distributed, reliable, and highly available system for collecting, aggregating, and transmitting large volumes of logs.

Flume capture Nginx logs to HDFs

Download apache-flume-1.7.0-bin.tar.gz, withTar -zxvfUnzip, add the settings in the/etc/profile file:Export Flume_home=/opt/apache-flume-1.7.0-binexport path= $PATH: $FLUME _home/binModify the two files under $flume_home/conf/and increase the java_home in flume-env.sh:java_home=/opt/jdk1.8.0_121Most importantly, modify

Custom Sink Interceptor in Flume

{ //no event, that is Backoffresult =Status.backoff; } //Commit a transactionTransaction.commit (); } Catch(Exception ex) {//rolling back a transactionTransaction.rollback (); Throw NewEventdeliveryexception ("Failed to log event:" +event, ex); } finally { //Close TransactionTransaction.close (); } returnresult; } } 3. Pack and place in/soft/flume/Lib under4, using the custom s

scribe, Chukwa, Kafka, flume log System comparison

1. Background introduction Many of the company's platforms generate a large number of logs per day (typically streaming data, for example, the search engine PV, query, etc.), the processing of these logs requires a specific log system, in general, these systems need to have the following characteristics: (1) The construction of application systems and analysis systems of the bridge, and the correlation between them decoupling (2) support for near real-time online analysis system and off-line ana

Open Source Log system comparison: Scribe, Chukwa, Kafka, flume__ message log system Kafka/flume, etc.

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

Flume-ng inserts data into the HBase-0.96.0

This article introduces flume data insert hdfs and common directory (), this article continues to introduce flume-ng to insert data into the hbase-0.96.0. First, modify the flume-node.conf file in the conf directory under the flume folder in node (for the original configuration, refer to the above) and make the followi

Flume-ng cluster scripting

#!/bin/bash# Author:xirong # Date: -- Geneva- .##### Build a flume cluster script # Note: #1JDK7 Environment is required, if there is no Java environment, please configure #2. Have/home/Work directory, otherwise unable to install ###### compressed file unzip tar-ZXF apache-flume-1.5.2-bin.tar.gz-c/home/work/flume_cluster/# Configure Flume environment echo'# #

Construction of Flume Service

Unify the time before building, turn off the firewall, use the jar package version is 1.6.0There are two ways to configure a serviceThe first type: The following steps:1. Pass the jar package to the Node1 and extract it to the root directory2. Change the directory name by using the following command: MV apache-flume-1.6.0-bin/home/install/flume-1.63. After entering the

Flume Preliminary study

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

Flume send and receive logs

apache-flume-1.5.0.1-bin.Tar. GZ Log Receive End1. Modify the configuration fileCPFlume-conf.properties.template flume-Conf.propertiesvim Flume-conf.propertiescollector1.sources=AvroIncollector1.sources.AvroIn.type=Avrocollector1.sources.AvroIn.bind=0.0.0.0Collector1.sources.AvroIn.port=4545Collector1.sources.AvroIn.channels=Mc1collector1.channels=Mc1collector1.c

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