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Description
Describe the bug
Span table is growing very fast. How can I make use of continuous aggregate (realtime) to optimize aggregates as described in
https://docs.timescale.com/timescaledb/latest/how-to-guides/hyperfunctions/percentile-approx/approximate-percentile/ ?
This is not possible because ps_trace.span is a postgres view not a hypertable or another continuous aggregate.
Error:
Error occurred during SQL query execution
Reason:
SQL Error [0A000]: ERROR: invalid continuous aggregate query
Hint: continuous aggregate needs to query hypertable or another continuous aggregate
With that limitation in mind, what's the way to optimize resource-intensive queries?
To Reproduce
Expected behavior
I expected that it is possible
Configuration (as applicable)
Using Timescaledb Cloud
Version
- Promscale: Latest (0.17.0)
- TimescaleDB: Cloud
Additional context
Support Case #: 00012349