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slug | sidebar_label | sidebar_position |
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/en/sql-reference/aggregate-functions/ | Aggregate Functions | 33 |
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 NULL
s are skipped. If the aggregation has several parameters it will ignore any row in which one or more of the parameters are NULL.
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 │
└────────┘
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.
You can use COALESCE to change NULL into a value that makes sense in your use case. For example: avg(COALESCE(column, 0))
with use the column value in the aggregation or zero if NULL:
SELECT
avg(y),
avg(coalesce(y, 0))
FROM t_null_big
┌─────────────avg(y)─┬─avg(coalesce(y, 0))─┐
│ 2.3333333333333335 │ 1.4 │
└────────────────────┴─────────────────────┘
Also you can use Tuple to work around NULL skipping behavior. The a Tuple
that contains only a NULL
value is not NULL
, so the aggregate functions won't skip that row because of that NULL
value.
SELECT
groupArray(y),
groupArray(tuple(y)).1
FROM t_null_big;
┌─groupArray(y)─┬─tupleElement(groupArray(tuple(y)), 1)─┐
│ [2,2,3] │ [2,NULL,2,3,NULL] │
└───────────────┴───────────────────────────────────────┘