tuple-map-functions
map
Arranges key:value
pairs into Map(key, value) data type.
Syntax
map(key1, value1[, key2, value2, ...])
Arguments
key
— The key part of the pair. String, Integer, LowCardinality, FixedString, UUID, Date, DateTime, Date32, Enum.value
— The value part of the pair. Arbitrary type, including Map and Array.
Returned value
- Data structure as
key:value
pairs.
Type: Map(key, value).
Examples
Query:
SELECT map('key1', number, 'key2', number * 2) FROM numbers(3);
Result:
┌─map('key1', number, 'key2', multiply(number, 2))─┐
│ {'key1':0,'key2':0} │
│ {'key1':1,'key2':2} │
│ {'key1':2,'key2':4} │
└──────────────────────────────────────────────────┘
Query:
CREATE TABLE table_map (a Map(String, UInt64)) ENGINE = MergeTree() ORDER BY a;
INSERT INTO table_map SELECT map('key1', number, 'key2', number * 2) FROM numbers(3);
SELECT a['key2'] FROM table_map;
Result:
┌─arrayElement(a, 'key2')─┐
│ 0 │
│ 2 │
│ 4 │
└─────────────────────────┘
See Also
- Map(key, value) data type
mapFromArrays
Merges an Array of keys and an Array of values into a Map(key, value). Notice that the second argument could also be a Map, thus it is casted to an Array when executing.
The function is a more convenient alternative to CAST((key_array, value_array_or_map), 'Map(key_type, value_type)')
. For example, instead of writing CAST((['aa', 'bb'], [4, 5]), 'Map(String, UInt32)')
, you can write mapFromArrays(['aa', 'bb'], [4, 5])
.
Syntax
mapFromArrays(keys, values)
Alias: MAP_FROM_ARRAYS(keys, values)
Arguments
keys
— Given key array to create a map from. The nested type of array must be: String, Integer, LowCardinality, FixedString, UUID, Date, DateTime, Date32, Enumvalues
- Given value array or map to create a map from.
Returned value
- A map whose keys and values are constructed from the key array and value array/map.
Example
Query:
select mapFromArrays(['a', 'b', 'c'], [1, 2, 3])
┌─mapFromArrays(['a', 'b', 'c'], [1, 2, 3])─┐
│ {'a':1,'b':2,'c':3} │
└───────────────────────────────────────────┘
SELECT mapFromArrays([1, 2, 3], map('a', 1, 'b', 2, 'c', 3))
┌─mapFromArrays([1, 2, 3], map('a', 1, 'b', 2, 'c', 3))─┐
│ {1:('a',1),2:('b',2),3:('c',3)} │
└───────────────────────────────────────────────────────┘
extractKeyValuePairs
Extracts key-value pairs, i.e. a Map(String, String), from a string. Parsing is robust towards noise (e.g. log files).
A key-value pair consists of a key, followed by a key_value_delimiter
and a value. Key value pairs must be separated by pair_delimiter
. Quoted keys and values are also supported.
Syntax
extractKeyValuePairs(data[, key_value_delimiter[, pair_delimiter[, quoting_character]]])
Alias:
str_to_map
mapFromString
Arguments
data
- String to extract key-value pairs from. String or FixedString.key_value_delimiter
- Character to be used as delimiter between the key and the value. Defaults to:
. String or FixedString.pair_delimiters
- Set of character to be used as delimiters between pairs. Defaults to,
and;
. String or FixedString.quoting_character
- Character to be used as quoting character. Defaults to"
. String or FixedString.
Returned values
- A Map(String, String) of key-value pairs.
Examples
Simple case:
SELECT extractKeyValuePairs('name:neymar, age:31 team:psg,nationality:brazil') as kv
Result:
┌─kv──────────────────────────────────────────────────────────────────────┐
│ {'name':'neymar','age':'31','team':'psg','nationality':'brazil'} │
└─────────────────────────────────────────────────────────────────────────┘
Single quote as quoting character:
SELECT extractKeyValuePairs('name:\'neymar\';\'age\':31;team:psg;nationality:brazil,last_key:last_value', ':', ';,', '\'') as kv
Result:
┌─kv───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
│ {'name':'neymar','age':'31','team':'psg','nationality':'brazil','last_key':'last_value'} │
└──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┘
Escape sequences without escape sequences support:
SELECT extractKeyValuePairs('age:a\\x0A\\n\\0') AS kv
Result:
┌─kv─────────────────────┐
│ {'age':'a\\x0A\\n\\0'} │
└────────────────────────┘
extractKeyValuePairsWithEscaping
Same as extractKeyValuePairs
but with escaping support.
Supported escape sequences: \x
, \N
, \a
, \b
, \e
, \f
, \n
, \r
, \t
, \v
and \0
.
Non standard escape sequences are returned as it is (including the backslash) unless they are one of the following:
\\
, '
, "
, backtick
, /
, =
or ASCII control characters (c <= 31).
This function will satisfy the use case where pre-escaping and post-escaping are not suitable. For instance, consider the following
input string: a: "aaaa\"bbb"
. The expected output is: a: aaaa\"bbbb
.
- Pre-escaping: Pre-escaping it will output:
a: "aaaa"bbb"
andextractKeyValuePairs
will then output:a: aaaa
- Post-escaping:
extractKeyValuePairs
will outputa: aaaa\
and post-escaping will keep it as it is.
Leading escape sequences will be skipped in keys and will be considered invalid for values.
Examples
Escape sequences with escape sequence support turned on:
SELECT extractKeyValuePairsWithEscaping('age:a\\x0A\\n\\0') AS kv
Result:
┌─kv────────────────┐
│ {'age':'a\n\n\0'} │
└───────────────────┘
mapAdd
Collect all the keys and sum corresponding values.
Syntax
mapAdd(arg1, arg2 [, ...])
Arguments
Arguments are maps or tuples of two arrays, 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 promoted to the one type (Int64, UInt64 or Float64). The common promoted type is used as a type for the result array.
Returned value
- Depending on the arguments returns one map or tuple, where the first array contains the sorted keys and the second array contains values.
Example
Query with a tuple:
SELECT mapAdd(([toUInt8(1), 2], [1, 1]), ([toUInt8(1), 2], [1, 1])) as res, toTypeName(res) as type;
Result:
┌─res───────────┬─type───────────────────────────────┐
│ ([1,2],[2,2]) │ Tuple(Array(UInt8), Array(UInt64)) │
└───────────────┴────────────────────────────────────┘
Query with Map
type:
SELECT mapAdd(map(1,1), map(1,1));
Result:
┌─mapAdd(map(1, 1), map(1, 1))─┐
│ {1:2} │
└──────────────────────────────┘
mapSubtract
Collect all the keys and subtract corresponding values.
Syntax
mapSubtract(Tuple(Array, Array), Tuple(Array, Array) [, ...])
Arguments
Arguments are maps or tuples of two arrays, 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, UInt64 or Float64). The common promoted type is used as a type for the result array.
Returned value
- Depending on the arguments returns one map or tuple, where the first array contains the sorted keys and the second array contains values.
Example
Query with a tuple map:
SELECT mapSubtract(([toUInt8(1), 2], [toInt32(1), 1]), ([toUInt8(1), 2], [toInt32(2), 1])) as res, toTypeName(res) as type;
Result:
┌─res────────────┬─type──────────────────────────────┐
│ ([1,2],[-1,0]) │ Tuple(Array(UInt8), Array(Int64)) │
└────────────────┴───────────────────────────────────┘
Query with Map
type:
SELECT mapSubtract(map(1,1), map(1,1));
Result:
┌─mapSubtract(map(1, 1), map(1, 1))─┐
│ {1:0} │
└───────────────────────────────────┘
mapPopulateSeries
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.
Syntax
mapPopulateSeries(keys, values[, max])
mapPopulateSeries(map[, max])
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.
For array arguments the number of elements in keys
and values
must be the same for each row.
Arguments
Arguments are maps or two arrays, where the first array represent keys, and the second array contains values for the each key.
Mapped arrays:
keys
— Array of keys. Array(Int).values
— Array of values. Array(Int).max
— Maximum key value. Optional. Int8, Int16, Int32, Int64, Int128, Int256.
or
map
— Map with integer keys. Map.
Returned value
- Depending on the arguments returns a map or a tuple of two arrays: keys in sorted order, and values the corresponding keys.
Example
Query with mapped arrays:
SELECT mapPopulateSeries([1,2,4], [11,22,44], 5) AS res, toTypeName(res) AS type;
Result:
┌─res──────────────────────────┬─type──────────────────────────────┐
│ ([1,2,3,4,5],[11,22,0,44,0]) │ Tuple(Array(UInt8), Array(UInt8)) │
└──────────────────────────────┴───────────────────────────────────┘
Query with Map
type:
SELECT mapPopulateSeries(map(1, 10, 5, 20), 6);
Result:
┌─mapPopulateSeries(map(1, 10, 5, 20), 6)─┐
│ {1:10,2:0,3:0,4:0,5:20,6:0} │
└─────────────────────────────────────────┘
mapContains
Determines whether the map
contains the key
parameter.
Syntax
mapContains(map, key)
Arguments
map
— Map. Map.key
— Key. Type matches the type of keys ofmap
parameter.
Returned value
1
ifmap
containskey
,0
if not.
Type: UInt8.
Example
Query:
CREATE TABLE test (a Map(String,String)) ENGINE = Memory;
INSERT INTO test VALUES ({'name':'eleven','age':'11'}), ({'number':'twelve','position':'6.0'});
SELECT mapContains(a, 'name') FROM test;
Result:
┌─mapContains(a, 'name')─┐
│ 1 │
│ 0 │
└────────────────────────┘
mapKeys
Returns all keys from the map
parameter.
Can be optimized by enabling the optimize_functions_to_subcolumns setting. With optimize_functions_to_subcolumns = 1
the function reads only keys subcolumn instead of reading and processing the whole column data. The query SELECT mapKeys(m) FROM table
transforms to SELECT m.keys FROM table
.
Syntax
mapKeys(map)
Arguments
map
— Map. Map.
Returned value
- Array containing all keys from the
map
.
Type: Array.
Example
Query:
CREATE TABLE test (a Map(String,String)) ENGINE = Memory;
INSERT INTO test VALUES ({'name':'eleven','age':'11'}), ({'number':'twelve','position':'6.0'});
SELECT mapKeys(a) FROM test;
Result:
┌─mapKeys(a)────────────┐
│ ['name','age'] │
│ ['number','position'] │
└───────────────────────┘
mapValues
Returns all values from the map
parameter.
Can be optimized by enabling the optimize_functions_to_subcolumns setting. With optimize_functions_to_subcolumns = 1
the function reads only values subcolumn instead of reading and processing the whole column data. The query SELECT mapValues(m) FROM table
transforms to SELECT m.values FROM table
.
Syntax
mapValues(map)
Arguments
map
— Map. Map.
Returned value
- Array containing all the values from
map
.
Type: Array.
Example
Query:
CREATE TABLE test (a Map(String,String)) ENGINE = Memory;
INSERT INTO test VALUES ({'name':'eleven','age':'11'}), ({'number':'twelve','position':'6.0'});
SELECT mapValues(a) FROM test;
Result:
┌─mapValues(a)─────┐
│ ['eleven','11'] │
│ ['twelve','6.0'] │
└──────────────────┘
mapContainsKeyLike
Syntax
mapContainsKeyLike(map, pattern)
Arguments
map
— Map. Map.pattern
- String pattern to match.
Returned value
1
ifmap
containskey
like specified pattern,0
if not.
Example
Query:
CREATE TABLE test (a Map(String,String)) ENGINE = Memory;
INSERT INTO test VALUES ({'abc':'abc','def':'def'}), ({'hij':'hij','klm':'klm'});
SELECT mapContainsKeyLike(a, 'a%') FROM test;
Result:
┌─mapContainsKeyLike(a, 'a%')─┐
│ 1 │
│ 0 │
└─────────────────────────────┘
mapExtractKeyLike
Syntax
mapExtractKeyLike(map, pattern)
Arguments
map
— Map. Map.pattern
- String pattern to match.
Returned value
- A map contained elements the key of which matches the specified pattern. If there are no elements matched the pattern, it will return an empty map.
Example
Query:
CREATE TABLE test (a Map(String,String)) ENGINE = Memory;
INSERT INTO test VALUES ({'abc':'abc','def':'def'}), ({'hij':'hij','klm':'klm'});
SELECT mapExtractKeyLike(a, 'a%') FROM test;
Result:
┌─mapExtractKeyLike(a, 'a%')─┐
│ {'abc':'abc'} │
│ {} │
└────────────────────────────┘
mapApply
Syntax
mapApply(func, map)
Arguments
func
- Lambda function.map
— Map.
Returned value
- Returns a map obtained from the original map by application of
func(map1[i], …, mapN[i])
for each element.
Example
Query:
SELECT mapApply((k, v) -> (k, v * 10), _map) AS r
FROM
(
SELECT map('key1', number, 'key2', number * 2) AS _map
FROM numbers(3)
)
Result:
┌─r─────────────────────┐
│ {'key1':0,'key2':0} │
│ {'key1':10,'key2':20} │
│ {'key1':20,'key2':40} │
└───────────────────────┘
mapFilter
Syntax
mapFilter(func, map)
Arguments
func
- Lambda function.map
— Map.
Returned value
- Returns a map containing only the elements in
map
for whichfunc(map1[i], …, mapN[i])
returns something other than 0.
Example
Query:
SELECT mapFilter((k, v) -> ((v % 2) = 0), _map) AS r
FROM
(
SELECT map('key1', number, 'key2', number * 2) AS _map
FROM numbers(3)
)
Result:
┌─r───────────────────┐
│ {'key1':0,'key2':0} │
│ {'key2':2} │
│ {'key1':2,'key2':4} │
└─────────────────────┘
mapUpdate
Syntax
mapUpdate(map1, map2)
Arguments
Returned value
- Returns a map1 with values updated of values for the corresponding keys in map2.
Example
Query:
SELECT mapUpdate(map('key1', 0, 'key3', 0), map('key1', 10, 'key2', 10)) AS map;
Result:
┌─map────────────────────────────┐
│ {'key3':0,'key1':10,'key2':10} │
└────────────────────────────────┘
mapConcat
Syntax
mapConcat(maps)
Arguments
maps
– Arbitrary number of arguments of Map type.
Returned value
- Returns a map with concatenated maps passed as arguments. If there are same keys in two or more maps, all of them are added to the result map, but only the first one is accessible via operator
[]
Examples
Query:
SELECT mapConcat(map('key1', 1, 'key3', 3), map('key2', 2)) AS map;
Result:
┌─map──────────────────────────┐
│ {'key1':1,'key3':3,'key2':2} │
└──────────────────────────────┘
Query:
SELECT mapConcat(map('key1', 1, 'key2', 2), map('key1', 3)) AS map, map['key1'];
Result:
┌─map──────────────────────────┬─elem─┐
│ {'key1':1,'key2':2,'key1':3} │ 1 │
└──────────────────────────────┴──────┘
mapExists([func,], map)
Returns 1 if there is at least one key-value pair in map
for which func(key, value)
returns something other than 0. Otherwise, it returns 0.
Note that the mapExists
is a higher-order function. You can pass a lambda function to it as the first argument.
Example
Query:
SELECT mapExists((k, v) -> (v = 1), map('k1', 1, 'k2', 2)) AS res
Result:
┌─res─┐
│ 1 │
└─────┘
mapAll([func,] map)
Returns 1 if func(key, value)
returns something other than 0 for all key-value pairs in map
. Otherwise, it returns 0.
Note that the mapAll
is a higher-order function. You can pass a lambda function to it as the first argument.
Example
Query:
SELECT mapAll((k, v) -> (v = 1), map('k1', 1, 'k2', 2)) AS res
Result:
┌─res─┐
│ 0 │
└─────┘
mapSort([func,], map)
Sorts the elements of the map
in ascending order. If the func
function is specified, sorting order is determined by the result of the func
function applied to the keys and values of the map.
Examples
SELECT mapSort(map('key2', 2, 'key3', 1, 'key1', 3)) AS map;
┌─map──────────────────────────┐
│ {'key1':3,'key2':2,'key3':1} │
└──────────────────────────────┘
SELECT mapSort((k, v) -> v, map('key2', 2, 'key3', 1, 'key1', 3)) AS map;
┌─map──────────────────────────┐
│ {'key3':1,'key2':2,'key1':3} │
└──────────────────────────────┘
For more details see the reference for arraySort
function.
mapReverseSort([func,], map)
Sorts the elements of the map
in descending order. If the func
function is specified, sorting order is determined by the result of the func
function applied to the keys and values of the map.
Examples
SELECT mapReverseSort(map('key2', 2, 'key3', 1, 'key1', 3)) AS map;
┌─map──────────────────────────┐
│ {'key3':1,'key2':2,'key1':3} │
└──────────────────────────────┘
SELECT mapReverseSort((k, v) -> v, map('key2', 2, 'key3', 1, 'key1', 3)) AS map;
┌─map──────────────────────────┐
│ {'key1':3,'key2':2,'key3':1} │
└──────────────────────────────┘
For more details see the reference for arrayReverseSort
function.