时序数据库InfluxDB的基本语法

Python122

一 了解InfluxDB的必要性

Time series data is a series of data points each associated with a specific time. Examples include:

  • Server performance metrics
  • Financial averages over time
  • Sensor data, such as temperature, barometric pressure, wind speeds, etc.

Relational databases can be used to store and analyze time series data, but depending on the precision of your data, a query can involve potentially millions of rows. InfluxDB is purpose-built to store and query data by time, providing out-of-the-box functionality that optionally downsamples data after a specific age and a query engine optimized for time-based data.

二 基本概念

database

A logical container for users, retention policies, continuous queries, and time series data.

duration

The attribute of the retention policy that determines how long InfluxDB stores data. Data older than the duration are automatically dropped from the database.

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