AggregateFunction
Aggregate functions have an implementation-defined intermediate state that can be serialized to an AggregateFunction(...)
data type and stored in a table, usually, by means of a materialized view.
The common way to produce an aggregate function state is by calling the aggregate function with the -State
suffix.
To get the final result of aggregation in the future, you must use the same aggregate function with the -Merge
suffix.
AggregateFunction(name, types_of_arguments...)
— parametric data type.
Parameters
Name of the aggregate function. If the function is parametric, specify its parameters too.
Types of the aggregate function arguments.
Example
CREATE TABLE t
(
column1 AggregateFunction(uniq, UInt64),
column2 AggregateFunction(anyIf, String, UInt8),
column3 AggregateFunction(quantiles(0.5, 0.9), UInt64)
) ENGINE = ...
uniq, anyIf (any+If) and quantiles are the aggregate functions supported in ClickHouse.
Usage
Data Insertion
To insert data, use INSERT SELECT
with aggregate -State
- functions.
Function examples
uniqState(UserID)
quantilesState(0.5, 0.9)(SendTiming)
In contrast to the corresponding functions uniq
and quantiles
, -State
- functions return the state, instead of the final value. In other words, they return a value of AggregateFunction
type.
In the results of SELECT
query, the values of AggregateFunction
type have implementation-specific binary representation for all of the ClickHouse output formats. If dump data into, for example, TabSeparated
format with SELECT
query, then this dump can be loaded back using INSERT
query.
Data Selection
When selecting data from AggregatingMergeTree
table, use GROUP BY
clause and the same aggregate functions as when inserting data, but using -Merge
suffix.
An aggregate function with -Merge
suffix takes a set of states, combines them, and returns the result of complete data aggregation.
For example, the following two queries return the same result:
SELECT uniq(UserID) FROM table
SELECT uniqMerge(state) FROM (SELECT uniqState(UserID) AS state FROM table GROUP BY RegionID)
Usage Example
See AggregatingMergeTree engine description.