Working with Time-Series Databases (TSDBs)
The platform comes pre-deployed with the Iguazio V3IO TSDB library ("V3IO TSDB") for working with data in time-series databases (TSDBs).
This library exposes a high-performance API for creating, updating, querying, and deleting time series databases, and comes with a complementary command-line interface (CLI) tool (
As an alternative to the TSDB CLI, you can also use the TSDB APIs that are provided by the following pre-deployed platform application services:
- V3IO Frames, which exposes a Python API. See the V3IO Frames TSDB-backend API reference
- TSDB Nuclio functions, which exposes an API for ingesting TSDB data and submitting TSDB queries using Nuclio serverless functions.
This API can be used from the dashboard's
Projects | <project name> | Functionspage, Docker, Git, or Jupyter Notebook. For more information, see the documentation in the v3io/tsdb-nuclio GitHub repository and the examples in the platform's tutorial Jupyter notebooks, which are available as part of the platform's Jupyter Notebook service.NoteTo use a Nuclio function to ingest data into a recreated TSDB table — i.e., a table that's created in the same path as a previously deleted TSDB table — note that it's not enough to suspend the ingestion into the table while it's being deleted and recreated; you must restart the function before ingesting data into to the newly created table.