OverviewApache Flume is a distributed, reliable, and available system. Ability to efficiently collect, summarize and move large amounts of log data from many different sources, one centralized data store.The use of Apache's flume is not limited to log data aggregation. Since the data source is customizable, flume can be used for a large number of events (each row
This article is a self-summary of learning, used for later review. If you have any mistake, don't hesitate to enlighten me.Here are some of the contents of the blog: http://blog.csdn.net/ymh198816/article/details/51998085Flume+kafka+storm+redis Real-time Analysis system basic Architecture1) The architecture of the entire real-time analysis system is2) The Order log is generated by the order server of the e-commerce system first,3) Then use Flume to li
This article mainly describes the process of using flume to transfer data to MongoDB, which involves environment deployment and considerations.First, Environment construction1, flune-ng:http://www.apache.org/dyn/closer.cgi/flume/1.5.2/apache-flume-1.5.2-bin.tar.gz2. MongoDB Java driver jar package: https://oss.sonatype.org/content/repositories/releases/org/mongod
Music can relax people's mood, this article to teach you to use music CD recording master to your favorite music collection.
1. Start CD recording Master
2, click "New File"
The following figure appears:
Pick up all the songs. Method: After one of the points, Ctrl + A, and then click "Open", you can select all.
3, if the song is too much, the total time exceeds 79 minutes, will appear the followi
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
I. Installation deployment of Flume: Flume installation is very simple, only need to decompress, of course, if there is already a Hadoop environment The installation package Is: http://www-us.apache.org/dist/flume/1.7.0/apache-flume-1.7.0-bin.tar.gz 1. Upload the installation package to the node where the data source r
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 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
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.
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.
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.
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
{ //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
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
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
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Flume mainly by the following types of monitoring methods:JMX Monitoring
JMX High detonation can modify the JAVA_OPTS environment variables in the flume-env.sh file as follows:
Export java_opts= "-dcom.sun.management.jmxremote-dcom.sun.management.jmxremote.port=5445- Dcom.sun.management.jmxremote.authenticate=false-dcom.sun.management.jmxremote.ssl=false "
Ganglia monitoring
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
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
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