About InfluxDB

InfluxDB is an open-source time-series database designed to handle high-write and high-query workloads. It is part of the InfluxData platform, which includes other components like Telegraf (data collector), Chronograf (visualization and monitoring tool), and Kapacitor (real-time streaming and alerting engine).

Key features of InfluxDB include:

  1. Time-series data storage: InfluxDB is optimized for storing and querying time-stamped data, making it suitable for applications that generate a large volume of time-series data, such as monitoring systems, IoT devices, and financial data.

  2. High performance: InfluxDB is built to handle high write and query loads efficiently. It uses a log-structured storage engine, which enables fast writes and allows for efficient data compression and retrieval.

  3. SQL-like query language: InfluxDB uses a query language called InfluxQL, which is similar to SQL but tailored for time-series data. It provides functions and operators specific to time-series analysis and filtering.

  4. Retention policies and continuous queries: InfluxDB allows you to define retention policies to automatically expire or downsample data based on time. Continuous queries enable the creation of pre-computed aggregates or downsamples for faster query performance.

  5. Tagging and field support: InfluxDB uses a flexible data model that allows for the use of tags and fields. Tags are key-value pairs used for indexing and filtering data, while fields store the actual data values.

  6. High availability and clustering: InfluxDB Enterprise offers clustering capabilities, allowing you to set up a highly available and scalable InfluxDB cluster for increased reliability and performance.

  7. Integration with other tools: InfluxDB integrates with various data collection tools and frameworks, such as Telegraf, which enables the collection of data from a wide range of sources. It also supports integrations with Grafana, a popular visualization tool.

It's worth noting that InfluxDB has two major versions: InfluxDB 1.x and InfluxDB 2.x. The latter, also known as InfluxDB OSS 2.0, introduced significant architectural changes and a new query language called Flux. Flux offers more advanced functionality and flexibility compared to InfluxQL.

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PYTHONPATH, Python 모듈 환경설정

In Python, an environment variable for a module or Python environment is a way to configure certain settings or provide data paths before running a Python program. Environment variables can be used to: Control Python's runtime behavior (e.g., specifying paths for module search). Pass configuration or sensitive data (like API keys) to Python applications. Set up virtual environments for Python project isolation. Here are some common environment variables related to Python and its modules: 1. PYTHONPATH : This variable defines the search path for modules. It allows you to specify additional directories for Python to look for modules and packages. If you want Python to find your custom modules, you can set this environment variable. Example: export PYTHONPATH= "/path/to/your/module: $PYTHONPATH " In Windows: set PYTHONPATH=C:\ path \ to \your\ module ;%PYTHONPATH% This tells Python to also search for modules in /path/to/your/module . 2. PYTHONHOME : ...
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