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* otlptranslator: add label caching for OTLP-to-Prometheus conversion Add per-request caching to reduce redundant computation and allocations during OTLP metric conversion: 1. Per-request label sanitization cache: Cache sanitized label names within a request to avoid repeated string allocations for commonly repeated labels like __name__, job, instance. 2. Resource-level label caching: Precompute and cache job, instance, promoted resource attributes, and external labels once per ResourceMetrics boundary instead of for each datapoint. 3. Scope-level label caching: Precompute and cache scope metadata labels (otel_scope_name, otel_scope_version, etc.) once per ScopeMetrics boundary. 4. LabelNamer instance caching: Reuse the LabelNamer struct across datapoints within the same resource context. These optimizations significantly reduce allocations and improve latency for OTLP ingestion workloads with many datapoints per resource/scope. --------- Signed-off-by: Arve Knudsen <arve.knudsen@gmail.com> Co-authored-by: George Krajcsovits <krajorama@users.noreply.github.com>