SnowConvert AI - Redshift - Literals¶

描述 ¶

字面量或常量是固定的数据值，由字符序列或数字常量组成。（Redshift SQL 语言参考“字面量” (https://docs.aws.amazon.com/redshift/latest/dg/r_Literals.html)）。

Amazon Redshift 支持多种类型的字面量，包括：

支持整数、小数和浮点数的数字字面量。
字符串字面量，也称为字符串、字符序列或字符常量。
日期时间和间隔字面量，与日期时间数据类型结合使用。

示例源模式¶

输入代码：¶

Redshift¶

 -- Number literals.
SELECT 42 AS integer_literal, -- Simple integer
    -123 AS negative_integer, -- Negative integer
    3.14159 AS decimal_literal, -- Decimal number
    1E0 AS simple_float; -- Floating-point representation of 1

-- Character literals.   
SELECT 'Hello, World!' AS simple_string,
    'Line1\nLine2' AS newline_character, -- Interprets \n as literal
    'Tab\tCharacter' AS tab_character, -- Interprets \t as literal
    'The value is ' || 42 AS mixed_literal;

Result¶


integer_literal	negative_integer	decimal_literal	simple_float
42	-123	3.14159	1


simple_string	newline_character	tab_character	mixed_literal
42	Line1 Line2	制表符	值为 42

输出代码：

Snowflake¶

 -- Number literals.
SELECT 42 AS integer_literal, -- Simple integer
    -123 AS negative_integer, -- Negative integer
    3.14159 AS decimal_literal, -- Decimal number
    1E0 AS simple_float; -- Floating-point representation of 1

-- Character literals.   
SELECT 'Hello, World!' AS simple_string,
    'Line1\nLine2' AS newline_character, -- Interprets \n as literal
    'Tab\tCharacter' AS tab_character, -- Interprets \t as literal
    'The value is ' || 42 AS mixed_literal;

Result¶


integer_literal	negative_integer	decimal_literal	simple_float
42	-123	3.14159	1


simple_string	newline_character	tab_character	mixed_literal
42	Line1 Line2	制表符	值为 42

Known Issues¶

Snowflake 目前不支持此功能，但在将来的迁移过程中将支持此功能。

 select $MyTagForLiteral$
This is
a test
of a tag literal
$MyTagForLiteral$ as c1;

日期、时间和时间戳字面量¶

描述 ¶

Amazon Redshift 支持的日期、时间和时间戳字面量。（Redshift SQL 语言参考“日期、时间、时间戳字面量” (https://docs.aws.amazon.com/redshift/latest/dg/r_Date_and_time_literals.html)）。

示例源模式¶

输入代码：¶

Redshift¶

 --invalid
SELECT
DATEADD(month, 1, 'January 8, 1999'),
DATEADD(month, 1, '2000-Jan-31'),
DATEADD(month, 1, 'Jan-31-2000'),
DATEADD(month, 1, '20000215'),
DATEADD(month, 1, '080215'),
DATEADD(month, 1, '2008.366'),
DATEADD(month, 1, 'now');

--valid
SELECT
DATEADD(month, 1, '1999-01-08'),
DATEADD(month, 1, '1/8/1999'),
DATEADD(month, 1, '01/02/00'),
DATEADD(month, 1, '31-Jan-2000');

输出代码：

Snowflake¶

 --invalid
SELECT
 DATEADD(month, 1,
                   !!!RESOLVE EWI!!! /*** SSC-EWI-RS0007 - 'January 8, 1999' DATE LITERAL IS NOT SUPPORTED IN SNOWFLAKE. ***/!!! 'January 8, 1999'),
 DATEADD(month, 1,
                   !!!RESOLVE EWI!!! /*** SSC-EWI-RS0007 - '2000-Jan-31' DATE LITERAL IS NOT SUPPORTED IN SNOWFLAKE. ***/!!! '2000-Jan-31'),
 DATEADD(month, 1,
                   !!!RESOLVE EWI!!! /*** SSC-EWI-RS0007 - 'Jan-31-2000' DATE LITERAL IS NOT SUPPORTED IN SNOWFLAKE. ***/!!! 'Jan-31-2000'),
 DATEADD(month, 1,
                   !!!RESOLVE EWI!!! /*** SSC-EWI-RS0007 - '20000215' DATE LITERAL IS NOT SUPPORTED IN SNOWFLAKE. ***/!!! '20000215'),
 DATEADD(month, 1,
                   !!!RESOLVE EWI!!! /*** SSC-EWI-RS0007 - '080215' DATE LITERAL IS NOT SUPPORTED IN SNOWFLAKE. ***/!!! '080215'),
 DATEADD(month, 1,
                   !!!RESOLVE EWI!!! /*** SSC-EWI-RS0007 - '2008.366' DATE LITERAL IS NOT SUPPORTED IN SNOWFLAKE. ***/!!! '2008.366'),
 DATEADD(month, 1,
                   !!!RESOLVE EWI!!! /*** SSC-EWI-RS0007 - 'now' DATE LITERAL IS NOT SUPPORTED IN SNOWFLAKE. ***/!!! 'now');

--valid
SELECT
 DATEADD(month, 1, '1999-01-08'),
 DATEADD(month, 1, '1/8/1999'),
 DATEADD(month, 1, '01/02/00'),
 DATEADD(month, 1, '31-Jan-2000');

Known Issues¶

与 Snowflake 相比，某些 DATE、TIME 和 TIMESTAMP 格式在 Redshift 中可能产生不同的结果。

间隔字面量¶

描述 ¶

间隔字面量可用于日期时间计算，例如，向日期和时间戳中添加间隔、求和间隔以及从日期或时间戳中减去间隔。间隔字面量可用作表中间隔数据类型列的输入值。（Redshift SQL 语言参考“间隔字面量” (https://docs.aws.amazon.com/redshift/latest/dg/r_interval_data_types.html#r_interval_data_types-syntax-literal)）。

警告

该语法在 Snowflake 中部分受支持。

语法 ¶

 INTERVAL quoted-string [ year_to_month_qualifier ]
INTERVAL quoted-string [ day_to_second_qualifier ] [ (fractional_precision) ]

Snowflake 间隔只能用于算术运算。不支持在任何其他场景中使用间隔。

The following formats are the only ones recognized and fully transformed by SnowConvert AI, allowing optional fields and most of the abbreviations without interval styles:

1 year 1 month 1 day 2 hour 3 minutes 4 seconds 123 ms
hh:mm:ss.ms
1 year 1 month 1 day hh:mm:ss.ms

Snowflake 不支持带有算术符号的字面量。如果字面量包含小时表达式，则表达式可以部分转换。

示例源模式¶

支持的场景¶

输入代码：¶

Redshift¶

 SELECT 
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1year 1month 1day 2hour 3 minute 4.1233455second' AS c1,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1year 1month 1day 2hour 3 minute 4.123second' AS c2,
'2024-01-01 00:00:00' ::TIMESTAMP +  INTERVAL '1.234567' AS c3,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '13 months' AS c4,
('2024-01-01 00:00:00'::timestamp without time zone + '1 day 02:03:04.123'::interval) AS c5,
('2024-01-01 00:00:00'::timestamp without time zone + '1 year 1 mon 00:00:01'::interval) AS c6,
('2024-01-01 00:00:00'::timestamp without time zone + '1 year 1 mon'::interval) AS c7,
('2024-01-01 00:00:00'::timestamp without time zone + '00:00:01.234567'::interval) AS c8,
('2024-01-01 00:00:00'::timestamp without time zone + '1 year 1 mon 1 day 02:03:04.123'::interval) AS c9,
('2024-01-01 00:00:00'::timestamp without time zone + '00:03:04.5678'::interval) AS c10,
('2024-01-01 00:00:00'::timestamp without time zone + '1 day 02:03:00'::interval) AS c11,
('2024-01-01 00:00:00'::timestamp without time zone + '3 days 01:59:00'::interval) AS c11,
('2024-01-01 00:00:00'::timestamp without time zone + '1 year 1 mon'::interval) AS c12,
('2024-01-01 00:00:00'::timestamp without time zone + '10 years'::interval) AS c13,
('2024-01-01 00:00:00'::timestamp without time zone + '1000 years'::interval) AS c14,
('2024-01-01 00:00:00'::timestamp without time zone + '100 years'::interval) AS c15,
('2024-01-01 00:00:00'::timestamp without time zone + '1 year 1 mon'::interval) AS c16
;

输出代码：¶

Snowflake¶

 SELECT
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1year, 1month, 1day, 2hour, 3 minute, 4 seconds, 123 ms' AS c1,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1year, 1month, 1day, 2hour, 3 minute, 4 seconds, 123 ms' AS c2,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 seconds, 234 ms' AS c3,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '13 months' AS c4,
('2024-01-01 00:00:00':: TIMESTAMP_NTZ + INTERVAL '1 day, 02 hour, 03 minutes, 04 seconds, 123 ms') AS c5,
('2024-01-01 00:00:00':: TIMESTAMP_NTZ + INTERVAL '1 year, 1 mon, 00 hour, 00 minutes, 01 seconds') AS c6,
('2024-01-01 00:00:00':: TIMESTAMP_NTZ + INTERVAL '1 year, 1 mon') AS c7,
('2024-01-01 00:00:00':: TIMESTAMP_NTZ + INTERVAL '00 hour, 00 minutes, 01 seconds, 234 ms') AS c8,
('2024-01-01 00:00:00':: TIMESTAMP_NTZ + INTERVAL '1 year, 1 mon, 1 day, 02 hour, 03 minutes, 04 seconds, 123 ms') AS c9,
('2024-01-01 00:00:00':: TIMESTAMP_NTZ + INTERVAL '00 hour, 03 minutes, 04 seconds, 567 ms') AS c10,
('2024-01-01 00:00:00':: TIMESTAMP_NTZ + INTERVAL '1 day, 02 hour, 03 minutes, 00 seconds') AS c11,
('2024-01-01 00:00:00':: TIMESTAMP_NTZ + INTERVAL '3 days , 01 hour, 59 minutes, 00 seconds') AS c11,
('2024-01-01 00:00:00':: TIMESTAMP_NTZ + INTERVAL '1 year, 1 mon') AS c12,
('2024-01-01 00:00:00':: TIMESTAMP_NTZ + INTERVAL '10 years') AS c13,
('2024-01-01 00:00:00':: TIMESTAMP_NTZ + INTERVAL '1000 years') AS c14,
('2024-01-01 00:00:00':: TIMESTAMP_NTZ + INTERVAL '100 years') AS c15,
('2024-01-01 00:00:00':: TIMESTAMP_NTZ + INTERVAL '1 year, 1 mon') AS c16
;

待处理的转换场景¶

输入代码：¶

Redshift¶

 SELECT
INTERVAL '1year 1month 1day 2hour 3 minute 4.1233455second',
'2024-01-01 00:00:00' ::TIMESTAMP +  INTERVAL '1.234567' SECOND AS c2,
'2024-01-01 00:00:00' ::TIMESTAMP +  INTERVAL '1.234567' SECOND (3) AS c3,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '13 months' YEAR AS c4,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '13 months' MONTH AS c5,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 2:3:4.5678' DAY TO MINUTE AS c6,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 2:3:4.5678' DAY TO SECOND AS c7,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 2:3' AS c8,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 49:59:0' AS c9,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 49:59:0' DAY AS c10,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 - 1 1'  AS c11,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1-1' AS c12,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 year -1 day' AS c13,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '3:4.5678' AS c14,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1-1 0 second 0 millisecond' AS c15,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 decade' AS c16,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 millenium' AS c17,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 century' AS c18,
('2024-01-01 00:00:00'::timestamp without time zone + ('00:00:01.234567')::interval second) AS c19,
('2024-01-01 00:00:00'::timestamp without time zone + ('00:00:01.235')::interval second (3)) AS c20,
('2024-01-01 00:00:00'::timestamp without time zone + ('1 year')::interval year) AS c21,
('2024-01-01 00:00:00'::timestamp without time zone + ('1 year 1 mon')::interval month) AS c22,
('2024-01-01 00:00:00'::timestamp without time zone + ('1 day 02:03:00')::interval day to minute) AS c23,
('2024-01-01 00:00:00'::timestamp without time zone + ('1 day 02:03:04.5678')::interval day to second) AS c24,
('2024-01-01 00:00:00'::timestamp without time zone + '-01:56:55.877'::interval) AS c25,
('2024-01-01 00:00:00'::timestamp without time zone + ('3 days')::interval day) AS c26;

输出代码：¶

Snowflake¶

 SELECT
INTERVAL '1year 1month 1day 2hour 3 minute 4.1233455second' !!!RESOLVE EWI!!! /*** SSC-EWI-0107 - INTERVAL LITERAL IS NOT SUPPORTED BY SNOWFLAKE IN THIS SCENARIO  ***/!!!,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 seconds, 234 ms' SECOND !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!! AS c2,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 seconds, 234 ms' SECOND (3) !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!! AS c3,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '13 months' YEAR !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!! AS c4,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '13 months' MONTH !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!! AS c5,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 , 2 hour, 3 minutes, 4 seconds, 567 ms' DAY TO MINUTE !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!!!!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!! AS c6,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 , 2 hour, 3 minutes, 4 seconds, 567 ms' DAY TO SECOND !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!!!!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!! AS c7,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 2:3' !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!! AS c8,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 , 49 hour, 59 minutes, 0 seconds' !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!! AS c9,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 , 49 hour, 59 minutes, 0 seconds' DAY !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!!!!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!! AS c10,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 - 1 1' !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!!  AS c11,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1-1' !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!! AS c12,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 year -1 day' !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!! AS c13,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '3:4.5678' !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!! AS c14,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1-1 0 second 0 millisecond' !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!! AS c15,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 decade' !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!! AS c16,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 millenium' !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!! AS c17,
'2024-01-01 00:00:00' ::TIMESTAMP + INTERVAL '1 century' !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!! AS c18,
('2024-01-01 00:00:00':: TIMESTAMP_NTZ + INTERVAL '00 hour, 00 minutes, 01 seconds, 234 ms' second !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!!) AS c19,
('2024-01-01 00:00:00':: TIMESTAMP_NTZ + INTERVAL '00 hour, 00 minutes, 01 seconds, 235 ms' second (3) !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!!) AS c20,
('2024-01-01 00:00:00':: TIMESTAMP_NTZ + INTERVAL '1 year' year !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!!) AS c21,
('2024-01-01 00:00:00':: TIMESTAMP_NTZ + INTERVAL '1 year, 1 mon' month !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!!) AS c22,
('2024-01-01 00:00:00':: TIMESTAMP_NTZ + INTERVAL '1 day, 02 hour, 03 minutes, 00 seconds' day to minute !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!!) AS c23,
('2024-01-01 00:00:00':: TIMESTAMP_NTZ + INTERVAL '1 day, 02 hour, 03 minutes, 04 seconds, 567 ms' day to second !!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!!) AS c24,
('2024-01-01 00:00:00':: TIMESTAMP_NTZ + '-01:56:55.877':: VARCHAR !!!RESOLVE EWI!!! /*** SSC-EWI-0036 - INTERVAL DATA TYPE CONVERTED TO VARCHAR ***/!!!!!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!!) AS c25,
('2024-01-01 00:00:00':: TIMESTAMP_NTZ + ('3 days'):: VARCHAR !!!RESOLVE EWI!!! /*** SSC-EWI-0036 - INTERVAL DATA TYPE CONVERTED TO VARCHAR ***/!!!!!!RESOLVE EWI!!! /*** SSC-EWI-0073 - PENDING FUNCTIONAL EQUIVALENCE REVIEW FOR 'INTERVAL FORMAT' NODE ***/!!!) AS c26;

Known Issues¶

未发现任何问题。

NULLS¶

描述 ¶

如果某行中的某列缺失、未知或不适用，则该列为 null 值或据说包含 null。（Redshift SQL 语言参考“Null 字面量” (https://docs.aws.amazon.com/redshift/latest/dg/r_Nulls.html)）。

Null 值可能出现在不受主键或 NOT NULL 约束限制的任何数据类型的字段中。null 值不等于零值或空字符串。

示例源模式¶

输入代码：¶

Redshift¶

 SELECT NULL IN (NULL, 0, 1, 2 ,3, 4);
SELECT 1 + NULL, 1 - NULL, 1 * NULL, 1 / NULL, 1 % NULL;

Result¶


Select1
NULL


1+NULL	1*NULL
NULL	NULL

输出代码：

Snowflake¶

 SELECT NULL IN (NULL, 0, 1, 2 ,3, 4);
SELECT 1 + NULL, 1 - NULL, 1 * NULL, 1 / NULL, 1 % NULL;

Result¶


Select1
NULL


1+NULL	1*NULL
NULL	NULL

Known Issues¶

未发现任何问题。

SnowConvert AI - Redshift - Literals¶

描述 ¶

示例源模式¶

输入代码：¶

Redshift¶

Result¶

Snowflake¶

Result¶

Known Issues¶

相关的 EWIs¶

日期、时间和时间戳字面量¶

描述 ¶

示例源模式¶

输入代码：¶

Redshift¶

Snowflake¶

Known Issues¶

相关的 EWIs¶

间隔字面量¶

描述 ¶

语法 ¶

示例源模式¶

支持的场景¶

输入代码：¶

Redshift¶

输出代码：¶

Snowflake¶

待处理的转换场景¶

输入代码：¶

Redshift¶

输出代码：¶

Snowflake¶

Known Issues¶

相关的 EWIs¶

NULLS¶

描述 ¶

示例源模式¶

输入代码：¶

Redshift¶

Result¶

Snowflake¶

Result¶

Known Issues¶

相关的 EWIs¶