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Next, I wrote a blog about influxdb and how to install it. This blog introduces how to install telegraf in Linux and its features...
Official website address: influxdata
Official documentation: telegraf documentation
Environment: centos7.4 64-bit
Influxdb version: 1.0.2
1. Introduction to telegraf
1. Basic Introduction
Telegraf is a go agent that collects statistics on systems and services and writes them to the influxdb database. The memory usage is small. You can easily add extensions that su
In the development of video conferencing systems, we must ensure the reliability of audio and video data, because the video conferencing system is a very real-time system, if the network is not good, packet loss, data delay, and data congestion may occur, which may affect
After you click the desired data, the data is written to the current input box.Separate them with commas (,). When the input is continued, the background processes the output data for selection.Next let's look at the example, html code The code is as follows:Copy code Ajax Real-
Wangchinglang Wang Ming WangEBay as a global business platform and payment industry leader , has a huge amount of user behavior data. Based on the existing Hadoop Big Data processing, it has not been able to meet the needs of real-time business. Based on ebay 's past experience of big
First, the advantages and disadvantages of rsync
Compared with the traditional CP and tar backup methods, Rsync has the advantages of high security, fast backup, support incremental backup, etc., through rsync can solve the real-time requirements of the data backup, such as regular backup file server data to the remot
persist in the local file system (poor performance).5.Flume Overall Architecture IntroductionThe flume architecture as a whole is Source-->channel-->sink's three-tier architecture (see figure one above), a structure similar to that of the generator and the consumer, which is decoupled through the queue (channel).Source: Completes the collection of log data, divided into Transtion and event into the channel.Channel: A function of a queue that provides
This article by show according to Lin Feng to provide friendship sponsorship, starting in the mud row world. In the previous article we described how to use rsync synchronization files, this article we will introduce, how to integrate rsync and inotify to achieve real-time data synchronization. To achieve this goal, we need to take the following steps: 1, the adv
IBM InfoSphere CDC is a powerful data real-time replication software that is not only widely used for heterogeneous platform integration of traditional ODS, data warehouses, data marts and BI systems, but also provides full support for cloud, and for various cloud scenarios,
-AVH--port=873--progress--delete/home/www.111cn.net/home_www.111cn.net_user@192.168.21.127::home_ Www.111cn.net--password-file=/etc/passwd.txt
RSYNC-AVH--port=873--progress--delete/home/www.111cn.net/home_www.111cn.net_user@192.168.21.128::home_ Www.111cn.net--password-file=/etc/passwd.txt
After the operation is completed, the two target servers are 192.168.21.127,192.168.21.128 on each other, and the Ceshi folder under the/home/www.111cn.net directory indicates that the
Recently in the group made a simple sharing, the topic is the real-time data stream processing, the main point is the recommendation system in a variety of real-time data stream real-
This article describes how to install rsync and sersync in linux to implement real-time data synchronization.
I. Why should I use the Rsync + sersync architecture?
1. sersync is developed based on Inotify and is similar to Inotify-tools.
2. sersync can record changes (including adding, deleting, and modifying) in the monitored directory to the name of a specific
In addition, rsync + inotify enables Real-time Data Backup
Advantages and disadvantages of rsync
Compared with traditional cp and tar backup methods, rsync has the advantages of high security, fast backup, and support for Incremental backup. rsync can meet the demand for data backup with low
My first blog, in this has been the help of everyone, but also hope that they can learn to pass on to those in need.
Recently in doing will vs and MATLAB for real-time transmission of data, mainly using UDP. Why UDP, and the benefits of UDP are no longer in the details here, you want to see the following references to the blog. The following is a separate vs. C #
After you click on the desired data, the data is written to the current input box and separated by commas (,). when the input continues, the background processes the output data for selection. let's take a look at the example. the html code is as follows: metahttp-equ... after you click on the desired data, the
(including add, delete, modify) a specific file or a directory name;
(2): Rsync in sync, only the change of the file or this directory (each change in the data relative to the entire synchronization directory data is very small, rsync in the traversal lookup than the file, fast), therefore, high efficiency.
Summary: When the volume of synchronized directory data
Original address The idea of real-time business intelligence is no longer a novelty (a page on this concept appeared in Wikipedia in 2006). However, although people have been discussing such schemes for many years, I have found that many companies have not actually planned out a clear development idea or even realized the great benefits. Why is that? One big reason is that
Recently, as one of the many external vendors, the company needs to rely on a large platform system (hereinafter referred to as BIG-S) to provide some services to specific users.As a WEB application developed by an external manufacturer (hereinafter referred to as SMALL-S), it is necessary to extract the basic data from the Big-s, including the user, organization structure, code table ... Part of the field into the Local
Transferred from: http://blog.csdn.net/wzy0623/article/details/73650053First, why to use Flume in the past to build HAWQ Data Warehouse experimental environment, I use Sqoop extract from the MySQL database incrementally extract data to HDFs, and then use the HAWQ external table for access. This method requires only a small amount of configuration to complete the data
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