Snowpark Migration Accelerator: Values

Description

Creates a temporary table within the query that can be used immediately. For more information, see Databricks SQL Language Reference VALUES.

The VALUES sub-clause in a SELECT statement’s FROM clause lets you define a set of fixed values to create a specific number of rows. (Snowflake SQL Language Reference VALUES)

Syntax

VALUES {expression | ( expression [, ...] ) } [, ...] [table_alias]

SELECT expression [, ...] [table_alias]

SELECT ...
FROM ( VALUES ( <expr> [ , <expr> [ , ... ] ] ) [ , ( ... ) ] ) [ [ AS ] <table_alias> [ ( <column_alias> [, ... ] ) ] ]
[ ... ]

Sample Source Patterns

Setup data

Databricks

CREATE TEMPORARY VIEW number1(c) AS VALUES (3), (1), (2), (2), (3), (4);

Snowflake

CREATE TEMPORARY TABLE number1(c int);
INSERT INTO number1 VALUES (3), (1), (2), (2), (3), (4);

Pattern code

Databricks

-- single row, without a table alias
> VALUES ("one", 1);
  one    1

-- Multiple rows, one column
> VALUES 1, 2, 3;
 1
 2
 3

-- three rows with a table alias
> SELECT data.a, b
    FROM VALUES ('one', 1),
                ('two', 2),
                ('three', NULL) AS data(a, b);
   one    1
   two    2
 three NULL

-- complex types with a table alias
> SELECT a, b
  FROM VALUES ('one', array(0, 1)),
              ('two', array(2, 3)) AS data(a, b);
 one [0, 1]
 two [2, 3]

-- Using the SELECT syntax
> SELECT 'one', 2
 one 2

c

3

1

2

4

Snowflake

-- single row, without a table alias
SELECT * FROM (VALUES ('one', 1));

-- Multiple rows, one column
SELECT * FROM (VALUES (1), (2), (3));

-- three rows with a table alias
SELECT a, b
    FROM (VALUES ('one', 1),
                ('two', 2),
                ('three', NULL)) AS data(a, b);

-- complex types with a table alias
SELECT a, b
    FROM
    (VALUES ('one', '[0, 1]'),
            ('two', '[2, 3]')
            ) AS data(a, b);

-- Using the SELECT syntax
SELECT 'one', 2

c

3

1

2

4

Known Issues

No issues were found