Follow-up to #13. After the multi-query join Grafana ranged the gauge cell across every numeric field in the frame, so 31 blocks was drawn against a 675 MH/s maximum. fieldMinMax on the blocks column (Grafana 13.0.2 here) restores the per-column scale. The gap and drift quantile queries are filtered with expr == expr so authors without samples in the range show a blank cell instead of NaN.
Follow-up to #13. After the multi-query join Grafana ranged the gauge cell across every numeric field in the frame, so 31 blocks was drawn against a 675 MH/s maximum. `fieldMinMax` on the blocks column (Grafana 13.0.2 here) restores the per-column scale. The gap and drift quantile queries are filtered with `expr == expr` so authors without samples in the range show a blank cell instead of `NaN`.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
https://claude.ai/code/session_01CBgs2nSi4H2mdh8kD8vMX5
After the multi-query join Grafana ranged the gauge cell across every numeric
field in the frame, so 31 blocks was drawn against a 675 MH/s maximum.
fieldMinMax on the blocks column restores the per-column scale. The gap and
drift quantiles are filtered with expr == expr so authors without samples in
the range show a blank cell instead of NaN.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01CBgs2nSi4H2mdh8kD8vMX5
grenade
merged commit 30e79cbfff into main2026-09-04 05:55:56 +00:00
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Follow-up to #13. After the multi-query join Grafana ranged the gauge cell across every numeric field in the frame, so 31 blocks was drawn against a 675 MH/s maximum.
fieldMinMaxon the blocks column (Grafana 13.0.2 here) restores the per-column scale. The gap and drift quantile queries are filtered withexpr == exprso authors without samples in the range show a blank cell instead ofNaN.🤖 Generated with Claude Code
https://claude.ai/code/session_01CBgs2nSi4H2mdh8kD8vMX5