SnowConvert AI - Function References for SQL-Server

ISNUMERIC_UDF

Definition

This user-defined function (UDF) determines whether an expression is a valid numeric type.

ISNUMERIC_UDF(EXPR VARCHAR)

Parameters

EXPR VARCHAR

The expression to be evaluated.

Returns

Returns 1 when the input expression evaluates to a valid numeric data type; otherwise, it returns 0.

Usage example

Input:

SELECT ISNUMERIC_UDF('5');

Output:

1

PATINDEX_UDF

Definition

This user-defined function (UDF) returns the starting position of the first occurrence of a pattern in a specified expression or zeros if the pattern is not found.

PATINDEX_UDF(PATTERN VARCHAR, EXPRESSION VARCHAR)

Parameters

PATTERN VARCHAR

The pattern to search for.

EXPRESSION VARCHAR

The expression that is being evaluated.

Returns

Returns an integer with the starting position of the pattern.

Usage example

Input:

SELECT PATINDEX_UDF('an', 'banana');

Output:

2

ERROR_SEVERITY_UDF

Definition

This user-defined function (UDF) gets a value indicating the severity of an error. The default value will always be 16.

ERROR_SEVERITY_UDF()

Parameters

No input parameters.

Returns

Returns a string with the value associated with the SQL variable name ERROR_SEVERITY.

Usage example

Input:

SELECT ERROR_SEVERITY_UDF();

Output:

null -- No information set.

TRANSFORM_SP_EXECUTE_SQL_STRING_UDF(STRING, STRING, ARRAY, ARRAY)

Definition

This user-defined function (UDF) emulates the behavior of embedded parameters (Data Binding) in the SP_EXECUTESQL system procedure by directly replacing their values in the SQL string.

Additionally, it removes the OUTPUT parameters from the string as this is done outside the EXECUTE IMMEDIATE to which the SP_EXECUTESQL will be transformed.

For more information, check the SP_EXECUTESQL translation specification.

TRANSFORM_SP_EXECUTE_SQL_STRING_UDF(
    _SQL_STRING STRING,
    _PARAMS_DEFINITION STRING,
    _PARAMS_NAMES ARRAY,
    _PARAMS_VALUES ARRAY
)

Parameters

_SQL_STRING STRING

The string to be transformed.

_PARAMS_DEFINITION STRING

The original parameters definition checks the order in which parameter values must be assigned.

_PARAMS_NAMES ARRAY

The array of parameter names to replace the values in the SQL string.

_PARAMS_VALUES ARRAY

The array of the parameter values to be replaced in the SQL string.

Returns

Returns a STRING with the embedded parameters values replaced.

Usage example

Input:

SELECT TRANSFORM_SP_EXECUTE_SQL_STRING_UDF(
    'SELECT * FROM PERSONS WHERE NAME LIKE (@NAME) AND ID < @id AND AGE < @age;', '@age INT, @id INT, @name VARCHAR(25)',
    ARRAY_CONSTRUCT('', '', ''),
    ARRAY_CONSTRUCT(30, 100, 'John Smith'));

Output:

SELECT * FROM PERSONS WHERE NAME LIKE ('John Smith') AND ID < 100 AND AGE < 30;

TABLE_OBJECT_ID_UDF (VARCHAR)

Definition

This user-defined function (UDF) checks if a table with a specific name has been created before.

TABLE_OBJECT_ID_UDF(NAME VARCHAR)

Parameters

NAME VARCHAR

The table name to be evaluated.

Returns

Returns a boolean expression depending on the existence of the table.

Usage example

Input:

SELECT TABLE_OBJECT_ID_UDF('Test');

Output:

FALSE

ERROR_PROCEDURE_UDF

Definition

This user-defined function (UDF) returns the value associated with the SQL variable name ERROR_PROCEDURE.

ERROR_PROCEDURE_UDF()

Parameters

No input parameters.

Returns

Returns a string with the value associated with the SQL variable name ERROR_PROCEDURE.

Usage example

Input:

SELECT ERROR_PROCEDURE_UDF();

Output:

null -- No information set.

DB_ID_UDF(STRING)

Definition

This user-defined function (UDF) emulates the DB_ID (https://learn.microsoft.com/en-us/sql/t-sql/functions/db-id-transact-sql?view=sql-server-ver16) functionality.

DB_ID_UDF(p_database_name STRING)

Parameters

p_database_name STRING

The name of the database to obtain the id.

Returns

Returns an id which corresponds to the number assigned to the database when it is created. This number is assigned consecutively.

Usage example

Input:

SELECT DB_ID_UDF('MY_DATABASE')

Output:

6

Warning

If the database does not exist, it returns null.

ERROR_LINE_UDF

Definition

This user-defined function (UDF) returns the value associated with the SQL variable name ERROR_LINE.

ERROR_LINE_UDF()

Parameters

No input parameters.

Returns

Returns a string with the value associated with the SQL variable name ERROR_LINE.

Usage example

Input:

SELECT ERROR_LINE_UDF();

Output:

null -- No information set.

FUNCTION_OBJECT_ID_UDF (VARCHAR)

Definition

This user-defined function (UDF) checks if a function with a specific name has been created before.

VIEW_OBJECT_ID_UDF(NAME VARCHAR)

Parameters

NAME VARCHAR

The function name to be evaluated.

Returns

Returns a boolean expression depending on the existence of the function.

Usage example

Input:

SELECT FUNCTION_OBJECT_ID_UDF('Test');

Output:

FALSE

CONSTRAINT_OBJECT_ID_UDF (VARCHAR)

Definition

This user-defined function (UDF) checks if a constraint with a specific name has been created before.

CONSTRAINT_OBJECT_ID_UDF(NAME VARCHAR)

Parameters

NAME VARCHAR

The constraint name to be evaluated.

Returns

Returns a boolean expression depending on the existence of the constraint.

Usage example

Input:

SELECT CONSTRAINT_OBJECT_ID_UDF('Test');

Output:

FALSE

FOR_XML_UDF (OBJECT, VARCHAR, VARCHAR)

Definition

This user-defined function (UDF) converts an object to XML.

FOR_XML_UDF(OBJ OBJECT, ELEMENT_NAME VARCHAR, ROOT_NAME VARCHAR)

Parameters

OBJ OBJECT

Object to be converted.

ELEMENT_NAME VARCHAR

Element name to be given the object.

ROOT_NAME VARCHAR

The root name for XML.

Returns

Returns a varchar in the format of XML.

Usage example

Input:

SELECT
FOR_XML_UDF(OBJECT_CONSTRUCT('id', 1, 'name', 'David'), 'employee', 'employees');

Output:

<employees>
    <employee type="OBJECT">
        <id type="INTEGER">1</id>
        <name type="VARCHAR">David</name>
    </employee>
<employees>

OBJECT_ID_UDF (VARCHAR)

Definition

This user-defined function (UDF) checks if an object with a specific name has been created before.

OBJECT_ID_UDF(NAME VARCHAR)

Parameters

NAME VARCHAR

The object name to be evaluated.

Returns

Returns a boolean expression depending on the existence of the object.

Usage example

Input:

SELECT OBJECT_ID_UDF('Test');

Output:

FALSE

PROCEDURE_OBJECT_ID_UDF (VARCHAR)

Definition

This user-defined function (UDF) checks if a procedure with a specific name has been created before.

PROCEDURE_OBJECT_ID_UDF(NAME VARCHAR)

Parameters

NAME VARCHAR

The procedure name to be evaluated.

Returns

Returns a boolean expression depending on the existence of the procedure.

Usage example

Input:

SELECT PROCEDURE_OBJECT_ID_UDF('Test');

Output:

FALSE

ISDATE_UDF

Definition

This user-defined function (UDF) determines whether the input value is a valid date.

ISDATE_UDF(DATE_VALUE STRING)

Parameters

DATE_VALUE STRING

The date that is going to be evaluated.

Returns

Returns 1 when the input expression evaluates to a valid date data type; otherwise, it returns 0.

Usage example

Input:

SELECT ISDATE_UDF('2024-01-26');

Output:

1

ERROR_NUMBER_UDF

Definition

This user-defined function (UDF) returns the value associated with the SQL variable name ERROR_NUMBER.

ERROR_NUMBER_UDF()

Parameters

No input parameters.

Returns

Returns a string with the value associated with the SQL variable name ERROR_NUMBER.

Usage example

Input:

SELECT ERROR_NUMBER_UDF();

Output:

null -- No information set.

OFFSET_FORMATTER (VARCHAR)

Definition

This user-defined function (UDF) is an auxiliary function to format the offset hour and its prefix operator.

OFFSET_FORMATTER(offset_hrs VARCHAR)

Parameters

offset_hrs VARCHAR

The value to be formatted.

Returns

Returns a varchar value with the formatted output for the offset.

Usage example

Input:

 SELECT OFFSET_FORMATTER('2024-01-26 22:00:50.708 -0800');

Output:

2024-01-26 22:00:50.708 -0800

OPENXML_UDF

Definition

This user-defined function (UDF) generates a query from an XML reading.

OPENXML_UDF(XML VARCHAR, PATH VARCHAR)

Parameters

XML VARCHAR

The XML content as a varchar.

PATH VARCHAR

The path of the node to extract.

Returns

Returns a table with the data generated by the XML reading.

Usage example

Input:

SELECT * FROM TABLE(OPENXML_UDF('<iceCreamOrders>
    <order>
        <customer customerID="CUST001" contactName="Test ABC">
            <iceCreamOrder orderID="ORD001" employeeID="101" orderDate="2023-05-15T14:30:00">
                <iceCreamDetail productID="001" quantity="2"/>
                <iceCreamDetail productID="003" quantity="1"/>
            </iceCreamOrder>
        </customer>
    </order>
    <order>
        <customer customerID="CUST002" contactName="Test XYZ">
            <iceCreamOrder orderID="ORD002" employeeID="102" orderDate="2023-06-20T12:45:00">
                <iceCreamDetail productID="005" quantity="3"/>
                <iceCreamDetail productID="007" quantity="2"/>
            </iceCreamOrder>
        </customer>
    </order>
</iceCreamOrders>
', 'iceCreamOrders:order'));

Output:

Value
1{ "order": { "$name": "order", "customer": [ { "customer": { "$name": "customer", "@contactName": "Test ABC", "@customerID": "CUST001", "iceCreamOrder": [ { "iceCreamOrder": { "$name": "iceCreamOrder", "@employeeID": 101, "@orderDate": "2023-05-15T14:30:00", "@orderID": "ORD001", "iceCreamDetail": [ { "iceCreamDetail": { "$name": "iceCreamDetail", "@productID": "001", "@quantity": 2 } }, { "iceCreamDetail": { "$name": "iceCreamDetail", "@productID": "003", "@quantity": 1 } } ] } } ] } } ] } }
2{ "order": { "$name": "order", "customer": [ { "customer": { "$name": "customer", "@contactName": "Test XYZ", "@customerID": "CUST002", "iceCreamOrder": [ { "iceCreamOrder": { "$name": "iceCreamOrder", "@employeeID": 102, "@orderDate": "2023-06-20T12:45:00", "@orderID": "ORD002", "iceCreamDetail": [ { "iceCreamDetail": { "$name": "iceCreamDetail", "@productID": "005", "@quantity": 3 } }, { "iceCreamDetail": { "$name": "iceCreamDetail", "@productID": "007", "@quantity": 2 } } ] } } ] } } ] } }

QUOTENAME_UDF (VARCHAR, VARCHAR)

Definition

This user-defined function (UDF) creates a valid SQL Server delimited identifier by returning a Unicode string with the delimiters added.

QUOTENAME_UDF(STR VARCHAR, QUOTECHAR VARCHAR)

Parameters

STR VARCHAR

The string to be transformed.

QUOTECHAR VARCHAR

The delimiter to add to the first parameter.

Returns

Returns a varchar with the second parameter identifier added as delimiter.

Usage example

Input:

SELECT QUOTENAME_UDF('test', '?');

Output:

?test?

UPDATE_ERROR_VARS_UDF (STRING, STRING, STRING)

Definition

This user-defined function (UDF) updates the error variables in an environment in order to know when the procedure throws an error.

UPDATE_ERROR_VARS_UDF(MESSAGE STRING, SEVERITY STRING, STATE STRING)

Parameters

STATE STRING

The state of the error message.

MESSAGE STRING

The message to be shown in the error.

SEVERITY STRING

The severity of the error.

Returns

Returns a string value with the new error message information.

Usage example

Input:

  SELECT UPDATE_ERROR_VARS_UDF('Message', '1', '1');

Output:

1ABC1

ROUND_MILLISECONDS_UDF (TIMESTAMP_TZ)

Definition

This user-defined function (UDF) is a function that rounds milliseconds to increments of 0, 3, or 7 milliseconds. Transact automatically rounds the milliseconds of datetime values.

ROUND_MILLISECONDS_UDF(INPUT TIMESTAMP_TZ)

Parameters

INPUT TIMESTAMP_TZ

The input time to be rounded.

Returns

Returns the same input TIMESTAMP_TZ value but with the milliseconds rounded.

Usage example

Input:

SELECT PUBLIC.ROUND_MILLISECONDS_UDF('1900-01-01 00:00:00.995 +0100')

Output:

'1900-01-01 00:00:00.997 +0100'

CAST_NUMERIC_TO_TIMESTAMP_TZ_UDF (NUMBER)

Definition

This user-defined function (UDF) is used to cast a numeric value to timestamp_tz.

CAST_NUMERIC_TO_TIMESTAMP_TZ_UDF(INPUT NUMBER)

Parameters

INPUT NUMBER

The number to be cast.

Returns

Returns a timestamp_tz with the current timezone.

Usage example

Input:

SELECT PUBLIC.CAST_NUMERIC_TO_TIMESTAMP_TZ_UDF(0)

Output:

1900-01-01 01:00:00.000 +0100

IDENTITY_UDF

Definition

This user-defined function (UDF) determines whether an expression is a valid numeric type.

IDENTITY_UDF()

Parameters

No input parameters.

Returns

Returns an integer expression.

Usage example

Warning

A sequence is generated to support the logic.

Input:

IDENTITY_UDF()

Output:

1

FOR_XML_UDF (OBJECT, VARCHAR)

Definition

This user-defined function (UDF) converts an object to XML.

FOR_XML_UDF(OBJ OBJECT, ELEMENT_NAME VARCHAR)

Parameters

OBJ OBJECT

Object to be converted.

ELEMENT_NAME VARCHAR

Element name to be given the object.

Returns

Returns a varchar in the format of XML.

Usage example

Input:

SELECT
FOR_XML_UDF(OBJECT_CONSTRUCT('id', 1, 'name', 'David'), 'employee');

Output:

<employee type="OBJECT">
    <id type="INTEGER">1</id>
    <name type="VARCHAR">David</name>
</employee>

QUOTENAME_UDF (VARCHAR)

Definition

This user-defined function (UDF) creates a valid SQL Server delimited identifier by returning a Unicode string with the delimiters added.

QUOTENAME_UDF(STR VARCHAR)

Parameters

STR VARCHAR

The string to be transformed.

Returns

Returns a varchar with the delimited identifier added.

Usage example

Input:

SELECT QUOTENAME_UDF('test');

Output:

"test"

VIEW_OBJECT_ID_UDF (VARCHAR)

Definition

This user-defined function (UDF) checks if a view with a specific name has been created before.

VIEW_OBJECT_ID_UDF(NAME VARCHAR)

Parameters

NAME VARCHAR

The view name to be evaluated.

Returns

Returns a boolean expression depending on the existence of the view.

Usage example

Input:

SELECT VIEW_OBJECT_ID_UDF('Test');

Output:

FALSE

SUBTRACT_TIMESTAMP_TZ_UDF (TIMESTAMP_TZ, TIMESTAMP_TZ)

Definition

This user-defined function (UDF) converts both inputs to the system session timezone and subtracts the dates (FIRST_DATE - SECOND_DATE) taking 1900-01-01 00:00:00.000 as the zero value. If any value does not include the timezone, the current session timezone is used.

PUBLIC.SUBTRACT_TIMESTAMP_TZ_UDF(FIRST_DATE TIMESTAMP_TZ, SECOND_DATE TIMESTAMP_TZ)

Parameters

FIRST_DATE TIMESTAMP_TZ

The first date to be subtracted from.

SECOND_DATE TIMESTAMP_TZ

The second date to be subtracted to.

Returns

Returns the difference between the two input dates.

Usage example

Input:

SELECT SUBTRACT_TIMESTAMP_TZ_UDF('1900-01-01 00:00:00.000 +0100', '1900-01-01 00:00:00.003 -0100')

Output:

1899-12-31 13:59:59.997 -0800

STR_UDF (FLOAT, VARCHAR)

Definition

This user-defined function (UDF) is a template for translating the functionality of SQL Server STR() to Snowflake when it’s used with one or two optional parameters

STR_UDF(FLOAT_EXPR FLOAT, FORMAT VARCHAR)

Parameters

FLOAT_EXPR FLOAT

The expression to be processed.

FORMAT VARCHAR

The format to apply.

Returns

Returns a varchar with the formatted expression.

Usage example

Input:

SELECT STR_UDF(1.5, '99');

Output:

2

XML_JSON_SIMPLE

Definition

This user-defined function (UDF) generates an object with the information from executing a reading from an XML value.

XML_JSON_SIMPLE(XML VARIANT)

Parameters

XML VARIANT

The XML to be read.

Returns

Returns an object with the processed information from the XML.

Usage example

Input:

SELECT XML_JSON_SIMPLE(TO_VARIANT(PARSE_XML('<iceCreamOrders>
    <order>
        <customer customerID="CUST001" contactName="Test ABC">
            <iceCreamOrder orderID="ORD001" employeeID="101" orderDate="2023-05-15T14:30:00">
                <iceCreamDetail productID="001" quantity="2"/>
                <iceCreamDetail productID="003" quantity="1"/>
            </iceCreamOrder>
        </customer>
    </order>
    <order>
        <customer customerID="CUST002" contactName="Test XYZ">
            <iceCreamOrder orderID="ORD002" employeeID="102" orderDate="2023-06-20T12:45:00">
                <iceCreamDetail productID="005" quantity="3"/>
                <iceCreamDetail productID="007" quantity="2"/>
            </iceCreamOrder>
        </customer>
    </order>
</iceCreamOrders>
')));

Output:

{
  "iceCreamOrders": {
    "$name": "iceCreamOrders",
    "order": [
      {
        "order": {
          "$name": "order",
          "customer": [
            {
              "customer": {
                "$name": "customer",
                "@contactName": "Test ABC",
                "@customerID": "CUST001",
                "iceCreamOrder": [
                  {
                    "iceCreamOrder": {
                      "$name": "iceCreamOrder",
                      "@employeeID": 101,
                      "@orderDate": "2023-05-15T14:30:00",
                      "@orderID": "ORD001",
                      "iceCreamDetail": [
                        {
                          "iceCreamDetail": {
                            "$name": "iceCreamDetail",
                            "@productID": "001",
                            "@quantity": 2
                          }
                        },
                        {
                          "iceCreamDetail": {
                            "$name": "iceCreamDetail",
                            "@productID": "003",
                            "@quantity": 1
                          }
                        }
                      ]
                    }
                  }
                ]
              }
            }
          ]
        }
      },
      {
        "order": {
          "$name": "order",
          "customer": [
            {
              "customer": {
                "$name": "customer",
                "@contactName": "Test XYZ",
                "@customerID": "CUST002",
                "iceCreamOrder": [
                  {
                    "iceCreamOrder": {
                      "$name": "iceCreamOrder",
                      "@employeeID": 102,
                      "@orderDate": "2023-06-20T12:45:00",
                      "@orderID": "ORD002",
                      "iceCreamDetail": [
                        {
                          "iceCreamDetail": {
                            "$name": "iceCreamDetail",
                            "@productID": "005",
                            "@quantity": 3
                          }
                        },
                        {
                          "iceCreamDetail": {
                            "$name": "iceCreamDetail",
                            "@productID": "007",
                            "@quantity": 2
                          }
                        }
                      ]
                    }
                  }
                ]
              }
            }
          ]
        }
      }
    ]
  }
}

FORMATMESSAGE_UDF

Definition

This user-defined function (UDF) provides the functionality of the SQL Server FORMATMESSAGE function. It constructs a message from an existing message from a provided string.

FORMATMESSAGE_UDF(MESSAGE STRING, ARGS ARRAY)

Parameters

MESSAGE STRING

The existing message string.

ARGS ARRAY

The arguments to be added on the first message string.

Returns

Returns a string with the corresponding concatenated message related to the argument’s positions.

Usage example

Input:

SELECT FORMATMESSAGE_UDF('Test %s!', TO_ARRAY('a'));

Output:

Test a!

IS_MEMBER_UDF

Definition

This user-defined function (UDF) determines the windows group membership by examining an access token.

IS_MEMBER_UDF(ROLE STRING)

Parameters

ROLE STRING

The role name to be checked.

Returns

Returns a boolean expression on true when the current user is a member of the role; otherwise returns false.

Usage example

Input:

SELECT IS_MEMBER_UDF('TEST');

Output:

FALSE

RAISERROR_UDF (DOUBLE, DOUBLE, DOUBLE, ARRAY)

Definition

This user-defined function (UDF) throws an exception with a specific message.

RAISERROR_UDF(MSG_ID DOUBLE, SEVERITY DOUBLE, STATE DOUBLE, PARAMS ARRAY)

Parameters

MSG_ID DOUBLE

The message ID of the error message.

SEVERITY DOUBLE

The severity number for the error.

STATE DOUBLE

The state number for the error message.

PARAMS ARRAY

The additional information of the error message.

Returns

Returns a varchar with an error message.

Usage example

Input:

SELECT RAISERROR_UDF(2.1, 1.6, 1.0, array_construct('More information'));

Output:

MESSAGE: 2.1, LEVEL: 1.6, STATE: 1

STR_UDF(FLOAT)

Definition

This user-defined function (UDF) is a template for translating the functionality of SQL Server STR() to Snowflake when it’s used with one or two optional parameters

STR_UDF(FLOAT_EXPR FLOAT, FORMAT VARCHAR)

Parameters

FLOAT_EXPR FLOAT

The expression to be processed.

Returns

Returns a varchar with the formatted expression.

Usage example

Input:

SELECT STR_UDF(1.5);

Output:

2

SWITCHOFFSET_UDF (TIMESTAMP_TZ, VARCHAR)

Definition

This user-defined function (UDF) returns a new timestamp_tz with the adjusted time taken for parameter target_tz.

SWITCHOFFSET_UDF(source_timestamp TIMESTAMP_TZ, target_tz varchar)

Parameters

source_timestamp TIMESTAMP_TZ

The source timestamp to adjust.

target_tz varchar

The target time to take.

Returns

Returns the formatted target time as TIMESTAMP_TZ.

Usage example

Input:

SELECT SWITCHOFFSET_UDF(time_in_paris, '-0600') as time_in_costa_rica;

Output:

time_in_paris

time_in_costa_rica

2022-10-05 22:00:24.467 +02:00

2022-10-05 14:00:24.467 -06:00

GET_CURRENT_TIMEZONE_UDF

Definition

This user-defined function (UDF) gets the current session or system timezone as a literal.

GET_CURRENT_TIMEZONE_UDF()

Parameters

No parameters.

Returns

Returns a literal value with the current session or system timezone as a literal.

Usage example

Input:

SELECT PUBLIC.GET_CURRENT_TIMEZONE_UDF();

Output:

'Europe/London'

UPDATE_ERROR_VARS_UDF (STRING, STRING, STRING, STRING, STRING, STRING)

Definition

This user-defined function (UDF) updates the error variables in an environment in order to know when the procedure throws an error.

UPDATE_ERROR_VARS_UDF(LINE STRING,CODE STRING, STATE STRING, MESSAGE STRING, PROC_NAME STRING, SEVERITY STRING)

Parameters

LINE STRING

The line related to the error.

CODE STRING

The error code associated with the error message.

STATE STRING

The state of the error message.

MESSAGE STRING

The message to be shown in the error.

PROC_NAME STRING

The procedure name.

SEVERITY STRING

The severity of the error.

Returns

Returns a string value with the new error message information.

Usage example

Input:

  SELECT UPDATE_ERROR_VARS_UDF('1', '1', '1', 'ABC', 'TEST', '1');

Output:

111ABCTEST1

SEQUENCE_OBJECT_ID_UDF (VARCHAR)

Definition

This user-defined function (UDF) checks if a sequence with a specific name has been created before.

SEQUENCE_OBJECT_ID_UDF(NAME VARCHAR)

Parameters

NAME VARCHAR

The sequence name to be evaluated.

Returns

Returns a boolean expression depending on the existence of the sequence.

Usage example

Input:

SELECT SEQUENCE_OBJECT_ID_UDF('Test');

Output:

FALSE

CAST_TIMESTAMP_TZ_TO_NUMERIC_UDF (TIMESTAMP_TZ)

Definition

This user-defined function (UDF) is used to cast timestamp_tz to numeric. It converts the current timezone to UTC because the numeric value cannot save the timestamp information.

CAST_TIMESTAMP_TZ_TO_NUMERIC_UDF(INPUT TIMESTAMP_TZ)

Parameters

INPUT TIMESTAMP_TZ

The timestamp input that is going to be cast.

Returns

Returns a numeric with a decimal point. The integer part represents the number of days from 1900-01-01 and the decimal part is the percentage of milliseconds in 24 hours.

Usage example

Input:

SELECT PUBLIC.CAST_TIMESTAMP_TZ_TO_NUMERIC_UDF('1900-01-01 01:00:00.000 +0100')

Output:

0

RAISERROR_UDF (VARCHAR, DOUBLE, DOUBLE, ARRAY)

Definition

This user-defined function (UDF) throws an exception with a specific message.

RAISERROR_UDF(MSG_TEXT VARCHAR, SEVERITY DOUBLE, STATE DOUBLE, PARAMS ARRAY)

Parameters

MSG_TEXT VARCHAR

The message text of the error message.

SEVERITY DOUBLE

The severity number for the error.

STATE DOUBLE

The state number for the error message.

PARAMS ARRAY

The additional information of the error message.

Returns

Returns a varchar with an error message.

Usage example

Input:

SELECT RAISERROR_UDF('<\<%*.*s>> TEST', 1.0, 1, array_construct());

Output:

MESSAGE: <<undefined>> TEST, LEVEL: 1, STATE: 1

PARSENAME_UDF

Definition

This user-defined function (UDF) gets the PART_NUMBER index of a string separated by '.'.

PARSENAME_UDF(STR VARCHAR, PART_NUMBER INT)

Parameters

STR VARCHAR

The object name as a string.

PART_NUMBER INT

The part of the object name to be checked.

Returns

Returns the specified part of an object name.

Usage example

Input:

SELECT PARSENAME_UDF('Test_A.Test_B.Test_C]', 2);

Output:

Test_B

ERROR_STATE_UDF

Definition

This user-defined function (UDF) gets the error state regardless of how many times it is run, or where it is run within the scope of the CATCH block.

ERROR_STATE_UDF()

Parameters

No input parameters.

Returns

Returns the string with the error state regardless of how many times it is run, or where it is run within the scope of the CATCH block.

Usage example

Input:

SELECT ERROR_STATE_UDF();

Output:

null -- No information set.

CAST_TIME_TO_TIMESTAMP_TZ_UDF (TIME)

Definition

This user-defined function (UDF) casts time to timestamp_tz.

CAST_TIME_TO_TIMESTAMP_TZ_UDF(INPUT TIME)

Parameters

INPUT TIME

The input time to be cast to timestamp_tz.

Returns

Returns a timestamp_tz with the date as 1900-01-01 and the same time as the input.

Usage example

Input:

SELECT PUBLIC.CAST_TIME_TO_TIMESTAMP_TZ_UDF('00:00:00.995')

Output:

1900-01-01 00:00:00.997

SUM_TIMESTAMP_TZ_UDF (TIMESTAMP_TZ, TIMESTAMP_TZ)

Definition

This user-defined function (UDF) converts both inputs to the system or session timezone and sums the dates taking 1900-01-01 00:00:00.000 as the zero value. If any value does not include the timezone, the current session timezone is used.

SUM_TIMESTAMP_TZ_UDF(FIRST_DATE TIMESTAMP_TZ, SECOND_DATE TIMESTAMP_TZ)

Parameters

FIRST_DATE TIMESTAMP_TZ

The first date to sum to.

SECOND_DATE TIMESTAMP_TZ

The second date to sum to.

Returns

Returns the sum between the two input dates.

Usage example

Input:

SELECT SUM_TIMESTAMP_TZ_UDF('1900-01-01 00:00:00.000 +0100', '1900-01-01 00:00:00.003 -0100')

Output:

1900-01-01 00:00:00.003 +0000

GET_WEEK_START_UDF

Definition

This user-defined function (UDF) retrieves the WEEK_START configuration, which is equivalent to the @@FIRSTDATE function. To maintain consistency across platforms, ensure the WEEK_START parameter matches the DATEFIRST setting in Transact-SQL.

GET_WEEK_START_UDF()

Returns

Returns a number representing the first day of the week.

Usage example

Snowflake’s default value for WEEK_START is 0. However, this function returns 7 to align with the default DATEFIRST value in Transact-SQL, ensuring consistent behavior.

Input:

SELECT GET_WEEK_START_UDF();

Output:

7

DATE_PART_WEEK_DAY_UDF

Definition

This user-defined function (UDF) gets the day of the week as a number (1-7) To ensure the consistency across platforms, please set the WEEK_START parameter to the same value as the DATEFIRST setting in Transact-SQL.

DATE_PART_WEEK_DAY_UDF(INPUT DATE)

Parameters

INPUT DATE

Date to get the day.

Returns

Returns a number representing the day of the week where Monday=1, Tuesday=2, …, Sunday=7.

Usage example

The WEEK_START parameter is 0, which causes the DATE_PART_WEEK_DAY_UDF to return a value of 1.

Input:

SELECT PUBLIC.DATE_PART_WEEK_DAY_UDF('2025-08-17') AS "Sunday";

Output:

1