Improve cache for MetricLookup.linkable_elements_for_measure()
#1443
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| lambda: f"Getting valid linkable elements for measure '{measure_reference.element_name}' took: {time.time() - start_time:.2f}s" | ||
| ) | ||
| ) | ||
| # Don't cache the result when group-by-metrics are selected as there can be many of them and may significantly |
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If we remove the cache for group by metrics, doesn't that mean this will be super slow when we try to fetch group by metric options?
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I had some concerns about memory usage, so caching of group-by-metrics is handled later through a separate cache that's LRU and avoids GC issues.
| measure_reference=measure_reference, | ||
| element_filter=element_filter, | ||
| ) | ||
| logger.debug( |
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Curious why you removed this log? Seems helpful to see if there was improvement on performance for this method. Also seems like it would be a good one to make INFO instead of DEBUG so that we can see how it performs for customers with larger manifests.
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This method can potentially be called a lot during query parsing, so it's easier to assess the runtime through DD tooling. e.g. a query with ~100 metrics, ~100 group-by items (including ones in filters) leads to a lot of log lines. Could leave a debug line in there though.
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Added that debug line.
plypaul
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…linkable_elements_for_measure()`.
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This PR changes the cache for `MetricLookup.linkable_elements_for_measure()` to allow caching all measures. Memory use remained reasonable and because it's bound to `MetricLookup`, it will be GCed when a given manifest is no longer used.
This PR changes the cache for
MetricLookup.linkable_elements_for_measure()to allow caching all measures. Memory use remained reasonable and because it's bound toMetricLookup, it will be GCed when a given manifest is no longer used.