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How to understand the time series database InfluxDB, I believe that many inexperienced people do not know what to do. Therefore, this paper summarizes the causes and solutions of the problem. Through this article, I hope you can solve this problem.

A lot of data in performance monitoring is generated according to the time dimension, even for a few servers, if you set up a large number of monitoring items, the amount of data per day is very objective, coupled with thousands of servers, this magnitude is very large.

Time series can often be heard in the technical venue of automatic operation and maintenance / intelligent operation and maintenance, and I am very interested in the topics related to time series shared by Yu Chen on QCon. There are a lot of doorways and space inside. In fact, when I realize it, I don't know how long it has been hot outside.

So today I took the time to take a look at this aspect of things, and I hope to correct a lot of mistakes.

You can get a basic picture of the current usage of the time series (Time Series) database through DB-Engines. This is the data just crawled.

The top spot is InfluxDB, so I want to know about it first.

For InfluxDB, I currently know two sites, one is the official website, the other is github. According to the information provided on the official website, the latest version is 1.2

Such a database is very simple to install, that is, download and install directly. V0.8 is initialized by rpm through wget, while v1.2 is built by configuring yum sources, which is essentially the same. The following is the official website and an installation interface, you can see that there are many platforms currently supported. Hey, how come there is no windows platform.

On github, it's called a boom. Just look at the stars.

Such a database based on events and indicators is developed in the go language, so there is still a lot of room for in-depth study from reading through the source code, and students in the go language are blessed. Rpm package opening is about 15m, of course, not that the source code is 15m.

The guidance link for the official website link is:

Https://docs.influxdata.com/influxdb/v0.8/introduction/getting_started/

Through the menu function items, we can see that the support of API is still very comprehensive, you can read, write, statistical analysis of data, as well as query languages like SQL.

And the part of UI is a very distinctive part of it, and there are really many tools in visualization, such as the official website tools, such as Grafana, a pure html/js application, the graphic display and rendering effect is very good, Percona's monitoring and management tool PMM cooperates with Grafana to do the data display, looks very cool.

The above is how to build the time series database InfluxDB. Have you learned the knowledge or skills? If you want to learn more skills or enrich your knowledge reserve, you are welcome to follow the industry information channel.

After reading the above, have you mastered the method of how to understand the time series database InfluxDB? If you want to learn more skills or want to know more about it, you are welcome to follow the industry information channel, thank you for reading!

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