The OPCUA extractor can only write time series instances to a single target space per deployment, even when the underlying OPCUA server contains data from different sources, governance domains or folders which should be handled individually. The only practical workaround is to run many OPCUA extractor instances against the same OPCUA server/hub, each with different tag filters and a different target space, which is hard to scale and operate. [Governance & spaces; Multi-space limitation]
I would like the OPCUA extractor to support multiple target spaces from a single deployment, where the space is selected per time series based on configurable filters. Typical examples would be routing by tag name prefix or pattern (for example, ABB* to space site-abb, VAL* to space site-val), or by attributes / metadata / folder structure mapped to specific spaces. [Filter-based routing idea; Enterprise scaling concern]. This capability would avoid both the operational overhead of many parallel extractor instances.
This is strongly related to the need of the same functionality for PI Cognite Hub
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