Introduction to Snowflake SQL
George Boorman
Senior Curriculum Manager, DataCamp
| Category | Data types |
|---|---|
| Text/string | VARCHAR, CHAR, TEXT |
| Category | Data types |
|---|---|
| Text/string | VARCHAR, CHAR, TEXT |
| Numeric | INTEGER |
| Category | Data types |
|---|---|
| Text/string | VARCHAR, CHAR, TEXT |
| Numeric | INTEGER |
| Boolean | BOOLEAN |
| Category | Data types |
|---|---|
| Text/string | VARCHAR, CHAR, TEXT |
| Numeric | INTEGER |
| Boolean | BOOLEAN |
| Date/time | DATE, TIME, TIMESTAMP |
NUMBER(p, s)
NUMERIC works in Snowflake as an alias for NUMBERp = precision; s = scalep and s values: 38TIMESTAMP_LTZDATE and TIME with local time zoneYYYY-MM-DD HH:MI:SS
CREATE TABLE orders (
-- Timestamp with local time zone
order_timestamp TIMESTAMP_LTZ
)


CAST
Syntax:
CAST( <source_data/column> AS <target_data_type> )
CAST('80' AS INT)
::
Syntax:
<source_data/column>::<target_data_type>
'80'::INT
SELECT CAST(order_timestamp AS DATE)
AS order_date
FROM orders


TO_VARCHAR, TO_DATE, etc.TO_VARCHAR
TO_VARCHAR( <expr> )
expr - numeric, timestamp, etc.
Result: VARCHAR
Example:
SELECT TO_VARCHAR(86)
Result:
86
DESC TABLE orders
name type kind null? default primary key
ORDER_ID NUMBER(38,0) COLUMN N null Y
ORDER_DATE DATE COLUMN Y null N
ORDER_TIME TIME(9) COLUMN Y null N
Introduction to Snowflake SQL