Flux Join Tutorial – Enrich Time Series Data with Data from PostgreSQL
Blog post from InfluxData
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.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Secrets Management | 5 | 464 | 100 | 41 | -19% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.