Merge pull request #12662 from ildus/simple_aggr_for_minmap_maxmap

Add minMap and maxMap support to SimpleAggregateFunction
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alexey-milovidov 2020-07-28 00:03:34 +03:00 committed by GitHub
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4 changed files with 16 additions and 10 deletions

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@ -15,6 +15,9 @@ The following aggregate functions are supported:
- [`groupBitXor`](../../sql-reference/aggregate-functions/reference/groupbitxor.md#groupbitxor) - [`groupBitXor`](../../sql-reference/aggregate-functions/reference/groupbitxor.md#groupbitxor)
- [`groupArrayArray`](../../sql-reference/aggregate-functions/reference/grouparray.md#agg_function-grouparray) - [`groupArrayArray`](../../sql-reference/aggregate-functions/reference/grouparray.md#agg_function-grouparray)
- [`groupUniqArrayArray`](../../sql-reference/aggregate-functions/reference/groupuniqarray.md) - [`groupUniqArrayArray`](../../sql-reference/aggregate-functions/reference/groupuniqarray.md)
- [`sumMap`](../../sql-reference/aggregate-functions/reference/summap.md#agg_functions-summap)
- [`minMap`](../../sql-reference/aggregate-functions/reference/minmap.md#agg_functions-minmap)
- [`maxMap`](../../sql-reference/aggregate-functions/reference/maxmap.md#agg_functions-maxmap)
Values of the `SimpleAggregateFunction(func, Type)` look and stored the same way as `Type`, so you do not need to apply functions with `-Merge`/`-State` suffixes. `SimpleAggregateFunction` has better performance than `AggregateFunction` with same aggregation function. Values of the `SimpleAggregateFunction(func, Type)` look and stored the same way as `Type`, so you do not need to apply functions with `-Merge`/`-State` suffixes. `SimpleAggregateFunction` has better performance than `AggregateFunction` with same aggregation function.

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@ -32,7 +32,7 @@ namespace ErrorCodes
static const std::vector<String> supported_functions{"any", "anyLast", "min", static const std::vector<String> supported_functions{"any", "anyLast", "min",
"max", "sum", "sumWithOverflow", "groupBitAnd", "groupBitOr", "groupBitXor", "max", "sum", "sumWithOverflow", "groupBitAnd", "groupBitOr", "groupBitXor",
"sumMap", "groupArrayArray", "groupUniqArrayArray"}; "sumMap", "minMap", "maxMap", "groupArrayArray", "groupUniqArrayArray"};
String DataTypeCustomSimpleAggregateFunction::getName() const String DataTypeCustomSimpleAggregateFunction::getName() const

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@ -39,7 +39,7 @@ SimpleAggregateFunction(sum, Float64)
7 14 7 14
8 16 8 16
9 18 9 18
1 1 2 2.2.2.2 3 ([1,2,3],[2,1,1]) [1,2,2,3,4] [4,2,1,3] 1 1 2 2.2.2.2 3 ([1,2,3],[2,1,1]) ([1,2,3],[1,1,2]) ([1,2,3],[2,1,2]) [1,2,2,3,4] [4,2,1,3]
10 2222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 20 20.20.20.20 5 ([2,3,4],[2,1,1]) [] [] 10 2222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 20 20.20.20.20 5 ([2,3,4],[2,1,1]) ([2,3,4],[3,3,4]) ([2,3,4],[4,3,4]) [] []
SimpleAggregateFunction(anyLast, Nullable(String)) SimpleAggregateFunction(anyLast, LowCardinality(Nullable(String))) SimpleAggregateFunction(anyLast, IPv4) SimpleAggregateFunction(groupBitOr, UInt32) SimpleAggregateFunction(sumMap, Tuple(Array(Int32), Array(Int64))) SimpleAggregateFunction(groupArrayArray, Array(Int32)) SimpleAggregateFunction(groupUniqArrayArray, Array(Int32)) SimpleAggregateFunction(anyLast, Nullable(String)) SimpleAggregateFunction(anyLast, LowCardinality(Nullable(String))) SimpleAggregateFunction(anyLast, IPv4) SimpleAggregateFunction(groupBitOr, UInt32) SimpleAggregateFunction(sumMap, Tuple(Array(Int32), Array(Int64))) SimpleAggregateFunction(minMap, Tuple(Array(Int32), Array(Int64))) SimpleAggregateFunction(maxMap, Tuple(Array(Int32), Array(Int64))) SimpleAggregateFunction(groupArrayArray, Array(Int32)) SimpleAggregateFunction(groupUniqArrayArray, Array(Int32))
with_overflow 1 0 with_overflow 1 0

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@ -28,22 +28,25 @@ create table simple (
ip SimpleAggregateFunction(anyLast,IPv4), ip SimpleAggregateFunction(anyLast,IPv4),
status SimpleAggregateFunction(groupBitOr, UInt32), status SimpleAggregateFunction(groupBitOr, UInt32),
tup SimpleAggregateFunction(sumMap, Tuple(Array(Int32), Array(Int64))), tup SimpleAggregateFunction(sumMap, Tuple(Array(Int32), Array(Int64))),
tup_min SimpleAggregateFunction(minMap, Tuple(Array(Int32), Array(Int64))),
tup_max SimpleAggregateFunction(maxMap, Tuple(Array(Int32), Array(Int64))),
arr SimpleAggregateFunction(groupArrayArray, Array(Int32)), arr SimpleAggregateFunction(groupArrayArray, Array(Int32)),
uniq_arr SimpleAggregateFunction(groupUniqArrayArray, Array(Int32)) uniq_arr SimpleAggregateFunction(groupUniqArrayArray, Array(Int32))
) engine=AggregatingMergeTree order by id; ) engine=AggregatingMergeTree order by id;
insert into simple values(1,'1','1','1.1.1.1', 1, ([1,2], [1,1]), [1,2], [1,2]); insert into simple values(1,'1','1','1.1.1.1', 1, ([1,2], [1,1]), ([1,2], [1,1]), ([1,2], [1,1]), [1,2], [1,2]);
insert into simple values(1,null,'2','2.2.2.2', 2, ([1,3], [1,1]), [2,3,4], [2,3,4]); insert into simple values(1,null,'2','2.2.2.2', 2, ([1,3], [1,1]), ([1,3], [2,2]), ([1,3], [2,2]), [2,3,4], [2,3,4]);
-- String longer then MAX_SMALL_STRING_SIZE (actual string length is 100) -- String longer then MAX_SMALL_STRING_SIZE (actual string length is 100)
insert into simple values(10,'10','10','10.10.10.10', 4, ([2,3], [1,1]), [], []); insert into simple values(10,'10','10','10.10.10.10', 4, ([2,3], [1,1]), ([2,3], [3,3]), ([2,3], [3,3]), [], []);
insert into simple values(10,'2222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222','20','20.20.20.20', 1, ([2, 4], [1,1]), [], []); insert into simple values(10,'2222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222','20','20.20.20.20', 1, ([2, 4], [1,1]), ([2, 4], [4,4]), ([2, 4], [4,4]), [], []);
select * from simple final order by id; select * from simple final order by id;
select toTypeName(nullable_str),toTypeName(low_str),toTypeName(ip),toTypeName(status), toTypeName(tup), toTypeName(arr), toTypeName(uniq_arr) from simple limit 1; select toTypeName(nullable_str),toTypeName(low_str),toTypeName(ip),toTypeName(status), toTypeName(tup), toTypeName(tup_min), toTypeName(tup_max), toTypeName(arr), toTypeName(uniq_arr) from simple limit 1;
optimize table simple final; optimize table simple final;
drop table simple; drop table simple;
drop table if exists with_overflow;
create table with_overflow ( create table with_overflow (
id UInt64, id UInt64,
s SimpleAggregateFunction(sumWithOverflow, UInt8) s SimpleAggregateFunction(sumWithOverflow, UInt8)
@ -54,4 +57,4 @@ insert into with_overflow select 1, 1 from numbers(256);
optimize table with_overflow final; optimize table with_overflow final;
select 'with_overflow', * from with_overflow; select 'with_overflow', * from with_overflow;
drop table with_overflow;