Difference between revisions of "Cardinality"

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* 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?".
 
* [[Prometheus]] https://www.robustperception.io/cardinality-is-key/
 
* [[Prometheus]] https://www.robustperception.io/cardinality-is-key/
 +
* Read https://valyala.medium.com/high-cardinality-tsdb-benchmarks-victoriametrics-vs-timescaledb-vs-influxdb-13e6ee64dd6b
  
 
== Related ==
 
== Related ==
 
* [[Elasticsearch]]
 
* [[Elasticsearch]]
 
* [[New Relic]]
 
* [[New Relic]]
[[cortex-tools]]
+
* [[cortex-tools]]
  
 
== See also ==
 
== See also ==

Latest revision as of 12:52, 9 December 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.

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]


NRQL

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



Activities[edit]

Related[edit]

See also[edit]

  • https://grafana.com/blog/2022/02/15/what-are-cardinality-spikes-and-why-do-they-matter/
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