Arithmetic operators

Operators

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Translation for Arithmetic Operators

Conversion Table

Redshift	Snowflake	Comments
+/- (positive and negative sign/operator)	+/-	Fully supported by Snowflake
^ (exponentiation)	POWER	Fully supported by Snowflake
* (multiplication)	*	Fully supported by Snowflake
/ (division)	/	Redshift division between integers always returns integer value, FLOOR function is added to emulate this behavior.
% (modulo)	%	Fully supported by Snowflake
+ (addition)	+ and ||	Fully supported by Snowflake. When string are added, it is transformed to a concat.
- (subtraction)	-	Fully supported by Snowflake
@ (absolute value)	ABS	Fully supported by Snowflake
|/ (square root)	SQRT	Fully supported by Snowflake
||/ (cube root)	CBRT	Fully supported by Snowflake

Sample Source Patterns

Addition, Subtraction, Positive & Negative

Input Code:

Redshift

IN -> Redshift_01.sql

CREATE TABLE test_math_operations (
    base_value DECIMAL(10, 2),
    multiplier INT,
    divisor INT,
    description VARCHAR(100),
    created_at TIMESTAMP,
    category VARCHAR(50)
);


INSERT INTO test_math_operations (base_value, multiplier, divisor, description, created_at, category)
VALUES
(100.50, 2, 5, 'Basic test', '2024-12-01 10:30:00', 'Type A'),
(250.75, 3, 10, 'Complex operations', '2024-12-02 15:45:00', 'Type B'),
(-50.25, 5, 8, 'Negative base value', '2024-12-03 20:00:00', 'Type C'),
(0, 10, 2, 'Zero base value', '2024-12-04 09:15:00', 'Type D');


SELECT +base_value AS positive_value,
       -base_value AS negative_value,
       (base_value + multiplier - divisor) AS add_sub_result,
       created_at + INTERVAL '1 day' AS next_day,
       created_at - INTERVAL '1 hour' AS one_hour_before,
       description + category as string_sum,
       base_value + '5' as int_string_sum,
       '5' + base_value as string_int_sum
FROM test_math_operations;

Results

Output Code:

Snowflake

OUT -> Redshift_01.sql

CREATE TABLE test_math_operations (
    base_value DECIMAL(10, 2),
    multiplier INT,
    divisor INT,
    description VARCHAR(100),
    created_at TIMESTAMP,
    category VARCHAR(50)
)
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "redshift",  "convertedOn": "07/11/2025",  "domain": "no-domain-provided" }}';


INSERT INTO test_math_operations (base_value, multiplier, divisor, description, created_at, category)
VALUES
(100.50, 2, 5, 'Basic test', '2024-12-01 10:30:00', 'Type A'),
(250.75, 3, 10, 'Complex operations', '2024-12-02 15:45:00', 'Type B'),
(-50.25, 5, 8, 'Negative base value', '2024-12-03 20:00:00', 'Type C'),
(0, 10, 2, 'Zero base value', '2024-12-04 09:15:00', 'Type D');


SELECT +base_value AS positive_value,
       -base_value AS negative_value,
       (base_value + multiplier - divisor) AS add_sub_result,
       created_at + INTERVAL '1 day' AS next_day,
       created_at - INTERVAL '1 hour' AS one_hour_before,
       description + category as string_sum,
       base_value + '5' as int_string_sum,
       '5' + base_value as string_int_sum
FROM
       test_math_operations;

Results

Exponentiation, multiplication, division & modulo

Input Code:

Redshift

IN -> Redshift_02.sql

CREATE TABLE test_math_operations (
    base_value DECIMAL(10, 2),
    multiplier INT,
    divisor INT,
    mod_value INT,
    exponent INT
);

INSERT INTO test_math_operations (base_value, multiplier, divisor, mod_value, exponent)
VALUES
(100.50, 2, 5, 3, 2),
(250.75, 3, 10, 7, 3),
(-50.25, 5, 8, 4, 4),
(0, 10, 2, 1, 5);

SELECT
    base_value ^ exponent AS raised_to_exponent,
    (base_value * multiplier) AS multiplied_value,
    (base_value / divisor) AS divided_value,
    base_value::int / divisor as int_division,
    (mod_value % 2) AS modulo_result,
    (base_value + multiplier - divisor) AS add_sub_result,
    (base_value + (multiplier * (divisor - mod_value))) AS controlled_eval
FROM
    test_math_operations;

Results

Output Code:

Snowflake

OUT -> Redshift_02.sql

CREATE TABLE test_math_operations (
    base_value DECIMAL(10, 2),
    multiplier INT,
    divisor INT,
    mod_value INT,
    exponent INT
)
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "redshift",  "convertedOn": "12/10/2024",  "domain": "test" }}';

INSERT INTO test_math_operations (base_value, multiplier, divisor, mod_value, exponent)
VALUES
(100.50, 2, 5, 3, 2),
(250.75, 3, 10, 7, 3),
(-50.25, 5, 8, 4, 4),
(0, 10, 2, 1, 5);

SELECT
    POWER(
    base_value, exponent) AS raised_to_exponent,
    (base_value * multiplier) AS multiplied_value,
    (base_value / divisor) AS divided_value,
    FLOOR(
    base_value::int / divisor) as int_division,
    (mod_value % 2) AS modulo_result,
    (base_value + multiplier - divisor) AS add_sub_result,
    (base_value + (multiplier * (divisor - mod_value))) AS controlled_eval
FROM
    test_math_operations;

Results

Absolute value, Square root and Cube root

Input Code:

Redshift

IN -> Redshift_02.sql

CREATE TABLE unary_operators
(
    col1 INTEGER,
    col2 INTEGER
);

INSERT INTO unary_operators VALUES
(14, 10),
(-8, 8),
(975, 173),
(-1273, 187);

SELECT
|/ col2 AS square_root,
||/ col1 AS cube_root,
@ col1 AS absolute_value
FROM unary_operators;

Results

Output Code:

Snowflake

OUT -> Redshift_02.sql

CREATE TABLE unary_operators
(
    col1 INTEGER,
    col2 INTEGER
)
COMMENT = '{ "origin": "sf_sc", "name": "snowconvert", "version": {  "major": 0,  "minor": 0,  "patch": "0" }, "attributes": {  "component": "redshift",  "convertedOn": "12/17/2024",  "domain": "test" }}';

INSERT INTO unary_operators
VALUES
(14, 10),
(-8, 8),
(975, 173),
(-1273, 187);

SELECT
    SQRT(col2) AS square_root,
    CBRT(col1) AS cube_root,
    ABS(col1) AS absolute_value
FROM
    unary_operators;

Results

Known Issues

1. In Snowflake, it is possible to use the unary operators +and - with string values, however in Redshift it is not valid.

Related EWIs

No related EWIs.