Best Practices for (Time-)Series Metadata Tables

Designing metadata tables for series lookups can help make time-related data, such as IoT or observability metrics, more accessible. A key concept is the Series Metadata Table, which stores information about each data series, including its start and end times, device ID, sensor ID, and last seen timestamp. By querying this table in conjunction with hypertables that store the actual time-series data, users can quickly retrieve available data series for a specific user and time range. This approach offers several benefits, including disk space savings, faster query performance, and the ability to provide information about similar parallel but distinct data series. Additionally, it enables features like quick lookups of available data series time ranges and previous assignments of devices and sensors. Overall, designing metadata tables for series lookups can be a valuable strategy for optimizing queries and reducing storage needs in time-series data applications.

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