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356 lines
12 KiB
Markdown
356 lines
12 KiB
Markdown
---
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toc_priority: 46
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toc_title: Working with maps
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---
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# Functions for maps {#functions-for-working-with-tuple-maps}
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## map {#function-map}
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Arranges `key:value` pairs into [Map(key, value)](../../sql-reference/data-types/map.md) data type.
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**Syntax**
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```sql
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map(key1, value1[, key2, value2, ...])
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```
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**Arguments**
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- `key` — The key part of the pair. [String](../../sql-reference/data-types/string.md) or [Integer](../../sql-reference/data-types/int-uint.md).
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- `value` — The value part of the pair. [String](../../sql-reference/data-types/string.md), [Integer](../../sql-reference/data-types/int-uint.md) or [Array](../../sql-reference/data-types/array.md).
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**Returned value**
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- Data structure as `key:value` pairs.
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Type: [Map(key, value)](../../sql-reference/data-types/map.md).
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**Examples**
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Query:
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```sql
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SELECT map('key1', number, 'key2', number * 2) FROM numbers(3);
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```
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Result:
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``` text
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┌─map('key1', number, 'key2', multiply(number, 2))─┐
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│ {'key1':0,'key2':0} │
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│ {'key1':1,'key2':2} │
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│ {'key1':2,'key2':4} │
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└──────────────────────────────────────────────────┘
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```
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Query:
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```sql
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CREATE TABLE table_map (a Map(String, UInt64)) ENGINE = MergeTree() ORDER BY a;
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INSERT INTO table_map SELECT map('key1', number, 'key2', number * 2) FROM numbers(3);
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SELECT a['key2'] FROM table_map;
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```
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Result:
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```text
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┌─arrayElement(a, 'key2')─┐
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│ 0 │
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│ 2 │
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│ 4 │
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└─────────────────────────┘
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```
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**See Also**
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- [Map(key, value)](../../sql-reference/data-types/map.md) data type
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## mapAdd {#function-mapadd}
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Collect all the keys and sum corresponding values.
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**Syntax**
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```sql
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mapAdd(arg1, arg2 [, ...])
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```
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**Arguments**
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Arguments are [maps](../../sql-reference/data-types/map.md) or [tuples](../../sql-reference/data-types/tuple.md#tuplet1-t2) of two [arrays](../../sql-reference/data-types/array.md#data-type-array), where items in the first array represent keys, and the second array contains values for the each key. All key arrays should have same type, and all value arrays should contain items which are promote to the one type ([Int64](../../sql-reference/data-types/int-uint.md#int-ranges), [UInt64](../../sql-reference/data-types/int-uint.md#uint-ranges) or [Float64](../../sql-reference/data-types/float.md#float32-float64)). The common promoted type is used as a type for the result array.
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**Returned value**
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- Depending on the arguments returns one [map](../../sql-reference/data-types/map.md) or [tuple](../../sql-reference/data-types/tuple.md#tuplet1-t2), where the first array contains the sorted keys and the second array contains values.
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**Example**
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Query with a tuple map:
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```sql
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SELECT mapAdd(([toUInt8(1), 2], [1, 1]), ([toUInt8(1), 2], [1, 1])) as res, toTypeName(res) as type;
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```
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Result:
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```text
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┌─res───────────┬─type───────────────────────────────┐
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│ ([1,2],[2,2]) │ Tuple(Array(UInt8), Array(UInt64)) │
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└───────────────┴────────────────────────────────────┘
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```
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Query with `Map` type:
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```sql
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SELECT mapAdd(map(1,1), map(1,1));
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```
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Result:
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```text
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┌─mapAdd(map(1, 1), map(1, 1))─┐
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│ {1:2} │
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└──────────────────────────────┘
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```
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## mapSubtract {#function-mapsubtract}
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Collect all the keys and subtract corresponding values.
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**Syntax**
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```sql
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mapSubtract(Tuple(Array, Array), Tuple(Array, Array) [, ...])
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```
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**Arguments**
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Arguments are [maps](../../sql-reference/data-types/map.md) or [tuples](../../sql-reference/data-types/tuple.md#tuplet1-t2) of two [arrays](../../sql-reference/data-types/array.md#data-type-array), where items in the first array represent keys, and the second array contains values for the each key. All key arrays should have same type, and all value arrays should contain items which are promote to the one type ([Int64](../../sql-reference/data-types/int-uint.md#int-ranges), [UInt64](../../sql-reference/data-types/int-uint.md#uint-ranges) or [Float64](../../sql-reference/data-types/float.md#float32-float64)). The common promoted type is used as a type for the result array.
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**Returned value**
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- Depending on the arguments returns one [map](../../sql-reference/data-types/map.md) or [tuple](../../sql-reference/data-types/tuple.md#tuplet1-t2), where the first array contains the sorted keys and the second array contains values.
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**Example**
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Query with a tuple map:
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```sql
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SELECT mapSubtract(([toUInt8(1), 2], [toInt32(1), 1]), ([toUInt8(1), 2], [toInt32(2), 1])) as res, toTypeName(res) as type;
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```
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Result:
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```text
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┌─res────────────┬─type──────────────────────────────┐
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│ ([1,2],[-1,0]) │ Tuple(Array(UInt8), Array(Int64)) │
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└────────────────┴───────────────────────────────────┘
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```
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Query with `Map` type:
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```sql
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SELECT mapSubtract(map(1,1), map(1,1));
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```
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Result:
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```text
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┌─mapSubtract(map(1, 1), map(1, 1))─┐
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│ {1:0} │
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└───────────────────────────────────┘
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```
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## mapPopulateSeries {#function-mappopulateseries}
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Fills missing keys in the maps (key and value array pair), where keys are integers. Also, it supports specifying the max key, which is used to extend the keys array.
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Arguments are [maps](../../sql-reference/data-types/map.md) or two [arrays](../../sql-reference/data-types/array.md#data-type-array), where the first array represent keys, and the second array contains values for the each key.
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For array arguments the number of elements in `keys` and `values` must be the same for each row.
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**Syntax**
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```sql
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mapPopulateSeries(keys, values[, max])
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mapPopulateSeries(map[, max])
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```
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Generates a map (a tuple with two arrays or a value of `Map` type, depending on the arguments), where keys are a series of numbers, from minimum to maximum keys (or `max` argument if it specified) taken from the map with a step size of one, and corresponding values. If the value is not specified for the key, then it uses the default value in the resulting map. For repeated keys, only the first value (in order of appearing) gets associated with the key.
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**Arguments**
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Mapped arrays:
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- `keys` — Array of keys. [Array](../../sql-reference/data-types/array.md#data-type-array)([Int](../../sql-reference/data-types/int-uint.md#uint-ranges)).
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- `values` — Array of values. [Array](../../sql-reference/data-types/array.md#data-type-array)([Int](../../sql-reference/data-types/int-uint.md#uint-ranges)).
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or
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- `map` — Map with integer keys. [Map](../../sql-reference/data-types/map.md).
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**Returned value**
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- Depending on the arguments returns a [map](../../sql-reference/data-types/map.md) or a [tuple](../../sql-reference/data-types/tuple.md#tuplet1-t2) of two [arrays](../../sql-reference/data-types/array.md#data-type-array): keys in sorted order, and values the corresponding keys.
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**Example**
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Query with mapped arrays:
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```sql
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select mapPopulateSeries([1,2,4], [11,22,44], 5) as res, toTypeName(res) as type;
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```
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Result:
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```text
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┌─res──────────────────────────┬─type──────────────────────────────┐
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│ ([1,2,3,4,5],[11,22,0,44,0]) │ Tuple(Array(UInt8), Array(UInt8)) │
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└──────────────────────────────┴───────────────────────────────────┘
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```
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Query with `Map` type:
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```sql
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SELECT mapPopulateSeries(map(1, 10, 5, 20), 6);
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```
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Result:
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```text
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┌─mapPopulateSeries(map(1, 10, 5, 20), 6)─┐
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│ {1:10,2:0,3:0,4:0,5:20,6:0} │
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└─────────────────────────────────────────┘
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```
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## mapContains {#mapcontains}
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Determines whether the `map` contains the `key` parameter.
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**Syntax**
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```sql
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mapContains(map, key)
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```
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**Parameters**
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- `map` — Map. [Map](../../sql-reference/data-types/map.md).
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- `key` — Key. Type matches the type of keys of `map` parameter.
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**Returned value**
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- `1` if `map` contains `key`, `0` if not.
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Type: [UInt8](../../sql-reference/data-types/int-uint.md).
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**Example**
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Query:
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```sql
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CREATE TABLE test (a Map(String,String)) ENGINE = Memory;
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INSERT INTO test VALUES ({'name':'eleven','age':'11'}), ({'number':'twelve','position':'6.0'});
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SELECT mapContains(a, 'name') FROM test;
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```
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Result:
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```text
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┌─mapContains(a, 'name')─┐
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│ 1 │
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│ 0 │
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└────────────────────────┘
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```
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## mapKeys {#mapkeys}
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Returns all keys from the `map` parameter.
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Can be optimized by enabling the [optimize_functions_to_subcolumns](../../operations/settings/settings.md#optimize-functions-to-subcolumns) setting. With `optimize_functions_to_subcolumns = 1` the function reads only [keys](../../sql-reference/data-types/map.md#map-subcolumns) subcolumn instead of reading and processing the whole column data. The query `SELECT mapKeys(m) FROM table` transforms to `SELECT m.keys FROM table`.
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**Syntax**
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```sql
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mapKeys(map)
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```
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**Parameters**
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- `map` — Map. [Map](../../sql-reference/data-types/map.md).
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**Returned value**
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- Array containing all keys from the `map`.
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Type: [Array](../../sql-reference/data-types/array.md).
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**Example**
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Query:
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```sql
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CREATE TABLE test (a Map(String,String)) ENGINE = Memory;
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INSERT INTO test VALUES ({'name':'eleven','age':'11'}), ({'number':'twelve','position':'6.0'});
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SELECT mapKeys(a) FROM test;
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```
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Result:
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```text
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┌─mapKeys(a)────────────┐
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│ ['name','age'] │
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│ ['number','position'] │
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└───────────────────────┘
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```
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## mapValues {#mapvalues}
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Returns all values from the `map` parameter.
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Can be optimized by enabling the [optimize_functions_to_subcolumns](../../operations/settings/settings.md#optimize-functions-to-subcolumns) setting. With `optimize_functions_to_subcolumns = 1` the function reads only [values](../../sql-reference/data-types/map.md#map-subcolumns) subcolumn instead of reading and processing the whole column data. The query `SELECT mapValues(m) FROM table` transforms to `SELECT m.values FROM table`.
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**Syntax**
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```sql
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mapKeys(map)
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```
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**Parameters**
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- `map` — Map. [Map](../../sql-reference/data-types/map.md).
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**Returned value**
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- Array containing all the values from `map`.
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Type: [Array](../../sql-reference/data-types/array.md).
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**Example**
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Query:
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```sql
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CREATE TABLE test (a Map(String,String)) ENGINE = Memory;
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INSERT INTO test VALUES ({'name':'eleven','age':'11'}), ({'number':'twelve','position':'6.0'});
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SELECT mapValues(a) FROM test;
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```
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Result:
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```text
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┌─mapValues(a)─────┐
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│ ['eleven','11'] │
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│ ['twelve','6.0'] │
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└──────────────────┘
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```
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[Original article](https://clickhouse.tech/docs/en/sql-reference/functions/tuple-map-functions/) <!--hide-->
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