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Merge pull request #12662 from ildus/simple_aggr_for_minmap_maxmap
Add minMap and maxMap support to SimpleAggregateFunction
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@ -15,6 +15,9 @@ The following aggregate functions are supported:
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- [`groupBitXor`](../../sql-reference/aggregate-functions/reference/groupbitxor.md#groupbitxor)
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- [`groupBitXor`](../../sql-reference/aggregate-functions/reference/groupbitxor.md#groupbitxor)
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- [`groupArrayArray`](../../sql-reference/aggregate-functions/reference/grouparray.md#agg_function-grouparray)
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- [`groupArrayArray`](../../sql-reference/aggregate-functions/reference/grouparray.md#agg_function-grouparray)
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- [`groupUniqArrayArray`](../../sql-reference/aggregate-functions/reference/groupuniqarray.md)
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- [`groupUniqArrayArray`](../../sql-reference/aggregate-functions/reference/groupuniqarray.md)
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- [`sumMap`](../../sql-reference/aggregate-functions/reference/summap.md#agg_functions-summap)
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- [`minMap`](../../sql-reference/aggregate-functions/reference/minmap.md#agg_functions-minmap)
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- [`maxMap`](../../sql-reference/aggregate-functions/reference/maxmap.md#agg_functions-maxmap)
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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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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
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static const std::vector<String> supported_functions{"any", "anyLast", "min",
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static const std::vector<String> supported_functions{"any", "anyLast", "min",
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"max", "sum", "sumWithOverflow", "groupBitAnd", "groupBitOr", "groupBitXor",
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"max", "sum", "sumWithOverflow", "groupBitAnd", "groupBitOr", "groupBitXor",
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"sumMap", "groupArrayArray", "groupUniqArrayArray"};
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"sumMap", "minMap", "maxMap", "groupArrayArray", "groupUniqArrayArray"};
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String DataTypeCustomSimpleAggregateFunction::getName() const
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String DataTypeCustomSimpleAggregateFunction::getName() const
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@ -39,7 +39,7 @@ SimpleAggregateFunction(sum, Float64)
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7 14
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7 14
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8 16
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8 16
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9 18
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9 18
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1 1 2 2.2.2.2 3 ([1,2,3],[2,1,1]) [1,2,2,3,4] [4,2,1,3]
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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]
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10 2222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222 20 20.20.20.20 5 ([2,3,4],[2,1,1]) [] []
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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]) [] []
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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))
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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))
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with_overflow 1 0
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with_overflow 1 0
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@ -28,22 +28,25 @@ create table simple (
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ip SimpleAggregateFunction(anyLast,IPv4),
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ip SimpleAggregateFunction(anyLast,IPv4),
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status SimpleAggregateFunction(groupBitOr, UInt32),
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status SimpleAggregateFunction(groupBitOr, UInt32),
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tup SimpleAggregateFunction(sumMap, Tuple(Array(Int32), Array(Int64))),
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tup SimpleAggregateFunction(sumMap, Tuple(Array(Int32), Array(Int64))),
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tup_min SimpleAggregateFunction(minMap, Tuple(Array(Int32), Array(Int64))),
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tup_max SimpleAggregateFunction(maxMap, Tuple(Array(Int32), Array(Int64))),
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arr SimpleAggregateFunction(groupArrayArray, Array(Int32)),
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arr SimpleAggregateFunction(groupArrayArray, Array(Int32)),
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uniq_arr SimpleAggregateFunction(groupUniqArrayArray, Array(Int32))
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uniq_arr SimpleAggregateFunction(groupUniqArrayArray, Array(Int32))
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) engine=AggregatingMergeTree order by id;
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) engine=AggregatingMergeTree order by id;
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insert into simple values(1,'1','1','1.1.1.1', 1, ([1,2], [1,1]), [1,2], [1,2]);
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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]);
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insert into simple values(1,null,'2','2.2.2.2', 2, ([1,3], [1,1]), [2,3,4], [2,3,4]);
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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]);
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-- String longer then MAX_SMALL_STRING_SIZE (actual string length is 100)
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-- String longer then MAX_SMALL_STRING_SIZE (actual string length is 100)
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insert into simple values(10,'10','10','10.10.10.10', 4, ([2,3], [1,1]), [], []);
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insert into simple values(10,'10','10','10.10.10.10', 4, ([2,3], [1,1]), ([2,3], [3,3]), ([2,3], [3,3]), [], []);
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insert into simple values(10,'2222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222','20','20.20.20.20', 1, ([2, 4], [1,1]), [], []);
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insert into simple values(10,'2222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222222','20','20.20.20.20', 1, ([2, 4], [1,1]), ([2, 4], [4,4]), ([2, 4], [4,4]), [], []);
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select * from simple final order by id;
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select * from simple final order by id;
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select toTypeName(nullable_str),toTypeName(low_str),toTypeName(ip),toTypeName(status), toTypeName(tup), toTypeName(arr), toTypeName(uniq_arr) from simple limit 1;
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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;
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optimize table simple final;
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optimize table simple final;
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drop table simple;
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drop table simple;
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drop table if exists with_overflow;
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create table with_overflow (
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create table with_overflow (
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id UInt64,
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id UInt64,
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s SimpleAggregateFunction(sumWithOverflow, UInt8)
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s SimpleAggregateFunction(sumWithOverflow, UInt8)
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@ -54,4 +57,4 @@ insert into with_overflow select 1, 1 from numbers(256);
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optimize table with_overflow final;
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optimize table with_overflow final;
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select 'with_overflow', * from with_overflow;
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select 'with_overflow', * from with_overflow;
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drop table with_overflow;
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