Consider the following 1-D ARRAY data type and table.
CREATE TYPE item_price AS DECIMAL(7,2) ARRAY[20]; CREATE TABLE inventory (itemkind INTEGER, regular_price item_price, sale_price_diff item_price);
Assume the following element values for the sale_price_diff and regular_price arrays:
sale_price_diff[1:20] = 100, 200, 120, 140, 50, 160, 45, 10, 90, 100 50, 100, 200, 90, 250, 550, 200, 200, 50, 75 regular_price[1:20] = 50, 90, 80, 10, 45, 30, 20, 10, 90, 100, 100, 300, 230, 110, 500, 550, 200, 400, 100, 150
The following query returns a 1-D ARRAY of element type item_price. During evaluation, each element within the specified scope in the regular_price array is combined with the corresponding element of the sale_price_diff array using the arithmetic function ARRAY_SUB.
SELECT ARRAY_SUB(regular_price, sale_price_diff, 10, 20) FROM inventory;
The query returns a 1-D ARRAY with the following values:
output_array[1:20] = [ NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 50, 200, 30, 20, 250, 0, 0, 200, 50, 75]
In the following query, a literal value of 2 is added to all elements in the 1-D ARRAY sale_price_diff.
SELECT ARRAY_ADD(sale_price_diff, 2) FROM inventory;
This query returns a 1-D ARRAY with the following values:
output_array[1:20] = [ 102, 202, 122, 142, 52, 162, 47, 12, 92, 102 52, 102, 202, 92, 252, 552, 202, 202, 52, 77]
The following query shows the use of a filtering condition while performing arithmetic operations on an ARRAY. In this example, all elements within the scope [10:20] that have a value less than 1000 are multiplied by 2.
SELECT ARRAY_MUL(regular_price, 2, 10, 20) FROM inventory WHERE ARRAY_COUNT_DISTINCT(ARRAY_LT(regular_price,1000,10,20),1)>1;
This query returns a 1-D ARRAY with the following values:
output_array[1:20] = [NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL, 200, 600, 460, 220, 1000, 1100, 400, 800, 200, 300]