// This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.

*Examples*

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include::{esql-specs}/stats.csv-spec[tag=count]
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include::{esql-specs}/stats.csv-spec[tag=count-result]
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To count the number of rows, use `COUNT()` or `COUNT(*)`
[source.merge.styled,esql]
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include::{esql-specs}/docs.csv-spec[tag=countAll]
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include::{esql-specs}/docs.csv-spec[tag=countAll-result]
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The expression can use inline functions. This example splits a string into multiple values using the `SPLIT` function and counts the values
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include::{esql-specs}/stats.csv-spec[tag=docsCountWithExpression]
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include::{esql-specs}/stats.csv-spec[tag=docsCountWithExpression-result]
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To count the number of times an expression returns `TRUE` use a <<esql-where>> command to remove rows that shouldn't be included
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include::{esql-specs}/stats.csv-spec[tag=count-where]
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include::{esql-specs}/stats.csv-spec[tag=count-where-result]
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To count the same stream of data based on two different expressions use the pattern `COUNT(<expression> OR NULL)`. This builds on the three-valued logic ({wikipedia}/Three-valued_logic[3VL]) of the language: `TRUE OR NULL` is `TRUE`, but `FALSE OR NULL` is `NULL`, plus the way COUNT handles `NULL`s: `COUNT(TRUE)` and `COUNT(FALSE)` are both 1, but `COUNT(NULL)` is 0.
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include::{esql-specs}/stats.csv-spec[tag=count-or-null]
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include::{esql-specs}/stats.csv-spec[tag=count-or-null-result]
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