Difference between revisions of "Cardinality"
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↑ https://grafana.com/blog/2022/02/15/what-are-cardinality-spikes-and-why-do-they-matter/
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* [[HyperLogLog]], [[HyperLogLog]]++ | * [[HyperLogLog]], [[HyperLogLog]]++ | ||
* [[Infinite set]], [[Multiset]] | * [[Infinite set]], [[Multiset]] | ||
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| + | You can have lower cardinality (1:5 label-value ratio), standard cardinality (1:80 label-value ratio), or high cardinality (1:10,000 label-value ratio). <ref>https://grafana.com/blog/2022/02/15/what-are-cardinality-spikes-and-why-do-they-matter/</ref> | ||
Revision as of 14:03, 8 July 2022
wikipedia:Cardinality is generally defined as the number of elements in a set.
Calculating the exact cardinality of a multiset requires an amount of memory proportional to the cardinality, which is impractical for very large data sets. The HyperLogLog algorithm is able to estimate cardinalities of > 109 with a typical accuracy (standard error) of 2%, using 1.5 kB of memory.
FROM Metric SELECT cardinality(metric.name) SINCE today RAW
You can have lower cardinality (1:5 label-value ratio), standard cardinality (1:80 label-value ratio), or high cardinality (1:10,000 label-value ratio). [1]
Activities
- Read about cardinality aggregation in Elasticsearch https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-metrics-cardinality-aggregation.html
- Read https://docs.newrelic.com/docs/data-apis/ingest-apis/metric-api/NRQL-high-cardinality-metrics/ to understand "What metric is contributing the most cardinality?" and "What impact does a given attribute(s) have to that total cardinality?".
- Prometheus https://www.robustperception.io/cardinality-is-key/
Related
See also
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