mirror of
https://github.com/ClickHouse/ClickHouse.git
synced 2024-12-15 10:52:30 +00:00
c1b71ab06e
* CLICKHOUSEDOCS-733: Fixed some broken links. Updated introduction and TOC in aggregate functions. * CLICKHOUSEDOCS-733: Fixed files endings. * CLICKHOUSEDOCS-733: Returned the list of functions back to reference index. Co-authored-by: Sergei Shtykov <bayonet@yandex-team.ru> Co-authored-by: emironyuk <em@don.ru>
1.7 KiB
1.7 KiB
| toc_folder_title | toc_priority | toc_title |
|---|---|---|
| Aggregate Functions | 33 | Introduction |
Aggregate Functions
Aggregate functions work in the normal way as expected by database experts.
ClickHouse also supports:
- Parametric aggregate functions, which accept other parameters in addition to columns.
- Combinators, which change the behavior of aggregate functions.
NULL Processing
During aggregation, all NULLs are skipped.
Examples:
Consider this table:
┌─x─┬────y─┐
│ 1 │ 2 │
│ 2 │ ᴺᵁᴸᴸ │
│ 3 │ 2 │
│ 3 │ 3 │
│ 3 │ ᴺᵁᴸᴸ │
└───┴──────┘
Let’s say you need to total the values in the y column:
SELECT sum(y) FROM t_null_big
┌─sum(y)─┐
│ 7 │
└────────┘
The sum function interprets NULL as 0. In particular, this means that if the function receives input of a selection where all the values are NULL, then the result will be 0, not NULL.
Now you can use the groupArray function to create an array from the y column:
SELECT groupArray(y) FROM t_null_big
┌─groupArray(y)─┐
│ [2,2,3] │
└───────────────┘
groupArray does not include NULL in the resulting array.