[DEPRECATED] Promscale is a unified metric and trace observability backend for Prometheus, Jaeger and OpenTelemetry built on PostgreSQL and TimescaleDB.
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
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:
With that limitation in mind, what's the way to optimize resource-intensive queries?
To Reproduce