Difference between revisions of "Cardinality"

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* Read about cardinality aggregation in [[Elasticsearch]] https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations-metrics-cardinality-aggregation.html
 
* 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?".
 
* 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?".
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* [[Prometheus]] https://www.robustperception.io/cardinality-is-key/
  
 
== Related ==
 
== Related ==

Revision as of 14:00, 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.


NRQL

FROM Metric SELECT cardinality(metric.name) SINCE today RAW



Activities

Related

See also

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