Ignore unsupported column filters for resource types that don't support them

[Copilot]

When searching across multiple resource types with a filter that only applies to some (e.g., #canary #config type=pod), the entire query failed because type is not a column on the canaries table.

Changes

• Sentinel error (ErrColumnNotSupported) added to query/models.go so callers can distinguish "column doesn't exist on this table" from real errors
• qm.Apply: wraps the unsupported column error with the sentinel instead of a plain fmt.Errorf
• queryTableWithResourceSelectors / QueryTableColumnsWithResourceSelectors: skip (return empty results) for any selector that produces ErrColumnNotSupported rather than propagating the error

// Before: entire SearchResources call failed
query.SearchResourcesRequest{
    Canaries: []types.ResourceSelector{{Search: "type=Kubernetes::Node"}}, // ❌ error
    Configs:  []types.ResourceSelector{{Search: "type=Kubernetes::Node"}}, // never reached
}

// After: canaries silently return 0 results; configs return matches normally

Original prompt

---

This section details on the original issue you should resolve

<issue_title>Query search - ignore invalid types when at least 1 resource type applies</issue_title>
<issue_description>e.g. #canary #config type=pod
error applying query model: query for column:type in table:canaries not supported </issue_description>

Comments on the Issue (you are @copilot in this section)

• Fixes Query search - ignore invalid types when at least 1 resource type applies #1846

---

🔒 GitHub Advanced Security automatically protects Copilot coding agent pull requests. You can protect all pull requests by enabling Advanced Security for your repositories. Learn more about Advanced Security.

[CLAassistant]

Thank you for your submission! We really appreciate it. Like many open source projects, we ask that you sign our Contributor License Agreement before we can accept your contribution.
_{You have signed the CLA already but the status is still pending? Let us recheck it.}

[github-actions]

Benchstat (Other)

Base: a02e5fc3d49e5a74ee448a6244dbb3dbd6c6b690
Head: 37e13bafe66df761c2aa3d4f637bc99ed976e2a6

📊 1 minor regression(s) (all within 5% threshold)

Benchmark	Base	Head	Change	p-value
InsertionForRowsWithAliases/external_users.aliases-4	553.2µ	560.7µ	+1.36%	0.026

✅ 2 improvement(s)

Benchmark	Base	Head	Change	p-value
ResourceSelectorQueryBuild/name-4	44.04µ	42.94µ	-2.49%	0.041
ResourceSelectorQueryBuild/name_and_type-4	63.41µ	62.76µ	-1.03%	0.026

Full benchstat output

goos: linux
goarch: amd64
pkg: github.com/flanksource/duty/bench
cpu: AMD EPYC 7763 64-Core Processor                
                                                       │ bench-base.txt │           bench-head.txt           │
                                                       │     sec/op     │    sec/op     vs base              │
InsertionForRowsWithAliases/external_users.aliases-4       553.2µ ±  1%   560.7µ ±  4%  +1.36% (p=0.026 n=6)
InsertionForRowsWithAliases/config_items.external_id-4     1.064m ± 13%   1.065m ± 11%       ~ (p=0.818 n=6)
ResourceSelectorConfigs/name-4                             198.3µ ±  2%   196.7µ ±  2%       ~ (p=0.699 n=6)
ResourceSelectorConfigs/name_and_type-4                    218.4µ ±  4%   216.6µ ±  5%       ~ (p=0.485 n=6)
ResourceSelectorConfigs/tags-4                             29.12m ±  5%   29.24m ±  1%       ~ (p=0.937 n=6)
ResourceSelectorQueryBuild/name-4                          44.04µ ±  2%   42.94µ ±  3%  -2.49% (p=0.041 n=6)
ResourceSelectorQueryBuild/name_and_type-4                 63.41µ ±  1%   62.76µ ±  1%  -1.03% (p=0.026 n=6)
ResourceSelectorQueryBuild/tags-4                          17.28µ ±  1%   17.23µ ±  2%       ~ (p=0.818 n=6)
geomean                                                    278.1µ         276.9µ        -0.45%

[github-actions]

Benchstat (RLS)

Base: a02e5fc3d49e5a74ee448a6244dbb3dbd6c6b690
Head: 37e13bafe66df761c2aa3d4f637bc99ed976e2a6

📊 4 minor regression(s) (all within 5% threshold)

Benchmark	Base	Head	Change	p-value
RLS/Sample-15000/config_classes/With_RLS-4	122.3m	124.6m	+1.89%	0.002
RLS/Sample-15000/config_changes/With_RLS-4	129.1m	130.7m	+1.24%	0.002
RLS/Sample-15000/config_summary/With_RLS-4	743.0m	749.4m	+0.87%	0.041
RLS/Sample-15000/analysis_types/Without_RLS-4	3.873m	3.903m	+0.78%	0.002

✅ 9 improvement(s)

Benchmark	Base	Head	Change	p-value
RLS/Sample-15000/change_types/With_RLS-4	5.372m	5.219m	-2.84%	0.004
RLS/Sample-15000/catalog_changes/Without_RLS-4	5.437m	5.287m	-2.77%	0.026
RLS/Sample-15000/config_types/With_RLS-4	127.4m	124.7m	-2.17%	0.002
RLS/Sample-15000/config_summary/Without_RLS-4	61.61m	60.63m	-1.59%	0.041
RLS/Sample-15000/catalog_changes/With_RLS-4	129.3m	127.4m	-1.49%	0.002
RLS/Sample-15000/config_names/With_RLS-4	126.5m	124.7m	-1.47%	0.009
RLS/Sample-15000/config_detail/With_RLS-4	125.1m	123.3m	-1.45%	0.002
RLS/Sample-15000/configs/With_RLS-4	127.4m	125.9m	-1.18%	0.002
RLS/Sample-15000/change_types/Without_RLS-4	5.312m	5.250m	-1.17%	0.009

Full benchstat output

goos: linux
goarch: amd64
pkg: github.com/flanksource/duty/bench
cpu: AMD EPYC 7763 64-Core Processor                
                                               │ bench-base.txt │          bench-head.txt           │
                                               │     sec/op     │   sec/op     vs base              │
RLS/Sample-15000/catalog_changes/Without_RLS-4      5.437m ± 5%   5.287m ± 2%  -2.77% (p=0.026 n=6)
RLS/Sample-15000/catalog_changes/With_RLS-4         129.3m ± 0%   127.4m ± 1%  -1.49% (p=0.002 n=6)
RLS/Sample-15000/config_changes/Without_RLS-4       5.234m ± 2%   5.220m ± 1%       ~ (p=0.132 n=6)
RLS/Sample-15000/config_changes/With_RLS-4          129.1m ± 0%   130.7m ± 0%  +1.24% (p=0.002 n=6)
RLS/Sample-15000/config_detail/Without_RLS-4        3.894m ± 1%   3.890m ± 2%       ~ (p=0.485 n=6)
RLS/Sample-15000/config_detail/With_RLS-4           125.1m ± 0%   123.3m ± 1%  -1.45% (p=0.002 n=6)
RLS/Sample-15000/config_names/Without_RLS-4         12.83m ± 1%   12.78m ± 1%       ~ (p=0.589 n=6)
RLS/Sample-15000/config_names/With_RLS-4            126.5m ± 1%   124.7m ± 1%  -1.47% (p=0.009 n=6)
RLS/Sample-15000/config_summary/Without_RLS-4       61.61m ± 2%   60.63m ± 1%  -1.59% (p=0.041 n=6)
RLS/Sample-15000/config_summary/With_RLS-4          743.0m ± 1%   749.4m ± 1%  +0.87% (p=0.041 n=6)
RLS/Sample-15000/configs/Without_RLS-4              7.213m ± 2%   7.196m ± 3%       ~ (p=0.180 n=6)
RLS/Sample-15000/configs/With_RLS-4                 127.4m ± 1%   125.9m ± 0%  -1.18% (p=0.002 n=6)
RLS/Sample-15000/analysis_types/Without_RLS-4       3.873m ± 0%   3.903m ± 2%  +0.78% (p=0.002 n=6)
RLS/Sample-15000/analysis_types/With_RLS-4          3.914m ± 1%   3.875m ± 2%       ~ (p=0.065 n=6)
RLS/Sample-15000/analyzer_types/Without_RLS-4       3.764m ± 0%   3.719m ± 2%       ~ (p=0.065 n=6)
RLS/Sample-15000/analyzer_types/With_RLS-4          3.743m ± 2%   3.756m ± 4%       ~ (p=0.240 n=6)
RLS/Sample-15000/change_types/Without_RLS-4         5.312m ± 6%   5.250m ± 1%  -1.17% (p=0.009 n=6)
RLS/Sample-15000/change_types/With_RLS-4            5.372m ± 1%   5.219m ± 2%  -2.84% (p=0.004 n=6)
RLS/Sample-15000/config_classes/Without_RLS-4       3.272m ± 0%   3.264m ± 1%       ~ (p=0.394 n=6)
RLS/Sample-15000/config_classes/With_RLS-4          122.3m ± 1%   124.6m ± 0%  +1.89% (p=0.002 n=6)
RLS/Sample-15000/config_types/Without_RLS-4         3.913m ± 1%   3.914m ± 1%       ~ (p=0.937 n=6)
RLS/Sample-15000/config_types/With_RLS-4            127.4m ± 0%   124.7m ± 0%  -2.17% (p=0.002 n=6)
geomean                                             19.30m        19.17m       -0.66%