array_map

Description

array_map() is a higher-order SQL function that can take lambda functions as arguments.It applies the lambda function to the input arrays and returns a new array.

array_map() can accept multiple arrays and can be nested with lambda functions to capture a variable. For more information about lambda functions, see Lambda expression. This function is supported from v2.5.

The alias is transform().

Syntax

array_map(lambda_function, arr1, arr2...)
array_map(arr1, arr2..., lambda_function)

Usage notes

Lambda functions can only be used as the first or last parameter of a higher-order function. Either position does not affect the calculation.
The number of arrays must be the same as the input parameters in the lambda function. Otherwise, an error is returned.
All the arrays must have the same number of elements. Otherwise, an error is returned.

Examples

Example 1: Increment every element of the array by 100.

select array_map(x -> x+100,[1,2,3]);
+------------------------------------+
| array_map(x -> x + 100, [1, 2, 3]) |
+------------------------------------+
| [101,102,103]                      |
+------------------------------------+

Example 2: Sum array1 [1,2,3] and array2 [11,12,13] element by element.

select array_map((x,y) -> x + y, [1,2,3], [11,12,13]);
+-----------------------------------------------------+
| array_map((x, y) -> x + y, [1, 2, 3], [11, 12, 13]) |
+-----------------------------------------------------+
| [12,14,16]                                          |
+-----------------------------------------------------+

Example 3: Determine whether the element in x is greater than 1.5. If yes, log(x) is returned for the element. If not, (x+y) is returned for the corresponding element.

select array_map((x,y) -> if(x>1.5,log(x),x+y), [1,2,3], [11,12,13]);
+--------------------------------------------------------------------------+
| array_map((x, y) -> if(x > 1.5, log(x), x + y), [1, 2, 3], [11, 12, 13]) |
+--------------------------------------------------------------------------+
| [12,0.6931471805599453,1.0986122886681098]                               |
+--------------------------------------------------------------------------+

Example 4: Use array_map() to capture variables. The returned element whose value is 1 indicates the condition is met.

-- In the example table, last_avg is the average score in the last exam. score represents the scores of three subjects in the current exam.

+------+----------+------------+
| id   | last_avg | score      |
+------+----------+------------+
|    1 |       55 | [50,60,70] |
|    2 |       73 | [70,65,75] |
|    3 |       89 | [88,92,90] |
+------+----------+------------+

-- Find the score that is higher than the average score of the last exam.
select array_map(x -> x > last_avg, score) from test_tbl;
+--------------------------------------+
| array_map(x -> x > last_avg, score)  |
+--------------------------------------+
| [0,1,1]                              |
| [0,0,1]                              |
| [0,1,1]                              |
+--------------------------------------+

Example 5: Use nested lambda functions.

select array_map(x -> array_map(x->x+100, x),[[1,2.3],[4,3,2]]);
+-------------------------------------------------------------------+
| array_map(x -> array_map(x -> x + 100, x), [[1, 2.3], [4, 3, 2]]) |
+-------------------------------------------------------------------+
| [[101,102.3],[104,103,102]]                                       |
+-------------------------------------------------------------------+

Example 6: An error is returned because the numbers of arrays and lambda parameters are inconsistent. The lambda function requires only one array but two arrays are passed in.

select array_map(x -> x,[1],[2,4]);
ERROR 1064 (HY000): Lambda arguments should equal to lambda input arrays.