Flux Join Tutorial – Enrich Time Series Data with Data from PostgreSQL
This tutorial teaches how to use Flux query language to enrich time series data stored in InfluxDB by combining it with metadata stored in a relational database like PostgreSQL, MySQL, Amazon RDS, Microsoft SQL Server, SQLite, or Google BigQuery. The tutorial provides an example of joining relation and time series data using the air sensor sample dataset provided by InfluxDB. It also discusses real-world use cases for combining external data with InfluxDB, such as enhancing data visualizations, creating more flexible dashboards or templates, and creating alerts based on external data. Finally, it suggests additional resources for readers who want to get a deeper understanding of InfluxDB and Flux.
Company
InfluxData
Date published
Jan. 20, 2022
Author(s)
Charles Mahler
Word count
1238
Language
English
Hacker News points
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