A Brief Overview of the Time-Series Database InfluxDB and How to Interact with It Using .NET
This article addresses the sensor data management requirements of water utility companies' pump rooms and introduces the application of the time-series database InfluxDB. It first explains the optimization advantages of time-series databases for scenarios involving high write throughput, time-based queries, and immutable data. It then compares the differences between time-series databases and relational databases in core concepts such as Bucket, Measurement, Tag, Field, and Timestamp, with particular emphasis on the distinction that Tags are used for low-cardinality dimension indexing while Fields store non-indexed metric values. Subsequently, based on the .NET environment, it provides a detailed demonstration of the complete workflow: installing the client via NuGet, configuring connection information, writing data using PointData method chaining, and performing efficient queries using the Flux language. Finally, it points out that mastering the correct usage of Tags and Fields is key to operating InfluxDB efficiently, and that this solution can effectively improve sensor data write performance and query efficiency.