| 12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667686970717273747576777879808182 | [discrete][[esql-stats-by]]=== `STATS ... BY`**Syntax**[source,esql]----STATS [column1 =] expression1[, ..., [columnN =] expressionN] [BY grouping_column1[, ..., grouping_columnN]]----*Parameters*`columnX`::The name by which the aggregated value is returned. If omitted, the name isequal to the corresponding expression (`expressionX`).`expressionX`::An expression that computes an aggregated value.`grouping_columnX`::The column containing the values to group by.*Description*The `STATS ... BY` processing command groups rows according to a common valueand calculate one or more aggregated values over the grouped rows. If `BY` isomitted, the output table contains exactly one row with the aggregations appliedover the entire dataset.The following aggregation functions are supported:include::../functions/aggregation-functions.asciidoc[tag=agg_list]NOTE: `STATS` without any groups is much much faster than adding a group.NOTE: Grouping on a single column is currently much more optimized than grouping      on many columns. In some tests we have seen grouping on a single `keyword`      column to be five times faster than grouping on two `keyword` columns. Do       not try to work around this by combining the two columns together with       something like <<esql-concat>> and then grouping - that is not going to be      faster.*Examples*Calculating a statistic and grouping by the values of another column:[source.merge.styled,esql]----include::{esql-specs}/docs.csv-spec[tag=stats]----[%header.monospaced.styled,format=dsv,separator=|]|===include::{esql-specs}/docs.csv-spec[tag=stats-result]|===Omitting `BY` returns one row with the aggregations applied over the entiredataset:[source.merge.styled,esql]----include::{esql-specs}/docs.csv-spec[tag=statsWithoutBy]----[%header.monospaced.styled,format=dsv,separator=|]|===include::{esql-specs}/docs.csv-spec[tag=statsWithoutBy-result]|===It's possible to calculate multiple values:[source,esql]----include::{esql-specs}/docs.csv-spec[tag=statsCalcMultipleValues]----It's also possible to group by multiple values (only supported for long andkeyword family fields):[source,esql]----include::{esql-specs}/docs.csv-spec[tag=statsGroupByMultipleValues]----
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