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CONVERTTIMEZONE Function

Converts Datetime value in specified time zone to corresponding value second specified time zone. Input can be a column of Datetime values, a literal Datetime value, or a function returning Datetime values.

  • Inputs with time zone offsets are invalid.

  • Specified time zone must be a string literal of one of the supported time zone values.

Wrangle vs. SQL: This function is part of Wrangle, a proprietary data transformation language. Wrangle is not SQL. For more information, see Wrangle Language.

Basic Usage

Column reference values:

converttimezone(myTimestamp,'US/Mountain','US/Pacific')

Output: Returns the UTC values of the myTimestamp converted from US Mountain time zone to US Pacific time zone.

Syntax and Arguments

<span>converttimezone</span><span>(date, &apos;enum-timezone1&apos;,<span>&apos;enum-timezone2&apos;</span>)</span>

Argument

Required?

Data Type

Description

date

Y

datetime

Name of Datetime column, Datetime literal, or function returning a Datetime value.

enum-timezone-string1, enum-timezone-string2

Y

string

Case-sensitive string literal value corresponding to the source or target time zone.

For more information on syntax standards, see Language Documentation Syntax Notes.

date

Name of a column containing Datetime values, a literal Datetime value, or a function returning Datetime values to convert.

Sugerencia

Use the DATEFORMAT function to wrap values into acceptable formats. See DATEFORMAT Function.

If an input value is invalid for Datetime data type, a null value is returned.

  • Column references with time zone offsets are invalid.

  • Missing values for this function in the source data result in missing values in the output.

  • Multiple columns and wildcards are not supported.

Usage Notes:

Required?

Data Type

Example Value

Yes

Datetime (column reference, function, or literal)

sourceTime

enum-timezone-string1, enum-timezone-string2

String literal value for the time zone 1) to convert from and 2) to convert to.

Nota

These values are case-sensitive.

Example values:

'America/Puerto_Rico'
'US/Eastern'
'US/Central'
'US/Mountain'
'US/Pacific'
'US/Alaska'
'US/Hawaii'

Examples

Sugerencia

For additional examples, see Common Tasks.

Example - Time zone conversion

This example shows how you can use functions to convert Datetime values to different time zones.

Functions:

Item

Description

CONVERTFROMUTC Function

Converts Datetime value to corresponding value of the specified time zone. Input can be a column of Datetime values, a literal Datetime value, or a function returning Datetime values.

CONVERTTOUTC Function

Converts Datetime value in specified time zone to corresponding value in UTC time zone. Input can be a column of Datetime values, a literal Datetime value, or a function returning Datetime values.

CONVERTTIMEZONE Function

Converts Datetime value in specified time zone to corresponding value second specified time zone. Input can be a column of Datetime values, a literal Datetime value, or a function returning Datetime values.

ISMISMATCHED Function

Tests whether a set of values is not valid for a specified data type.

Source:

row

datetime

1

2020-03-15

2

2020-03-15 0:00:00

3

2020-03-15 +08:00

4

2020-03-15 1:02:03

5

2020-03-15 4:02:03

6

2020-03-15 8:02:03

7

2020-03-15 12:02:03

8

2020-03-15 16:02:03

9

2020-03-15 20:02:03

10

2020-03-15 23:02:03

Transformation:

When you import the above dates, Designer Cloud may not recognize the column as a set of dates. You can use the column menus to format the date values to the following standardized format:

yyyy*mm*dd*HH:MM:SS

Transformation Name

Change column data type

Parameter: Columns

datetime

Parameter: New type

Date/Time

Parameter: Date/Time type

yyyy*mm*dd*HH:MM:SS

When the type has been changed, row 1 and row 3 have been identified as invalid. You can use the following transformation to remove these rows:

Transformation Name

Filter rows

Parameter: Condition

Custom formula

Parameter: Type of formula

Custom single

Parameter: Condition

ISMISMATCHED(datetime, ['Datetime','yy-mm-dd hh:mm:ss','yyyy*mm*dd*HH:MM:SS'])

Parameter: Action

Delete matching rows

When the Datetime values are consistently formatted, you can use the following transformations to perform conversions. The following tranformation converts the values from UTC to US/Eastern time zone:

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

CONVERTFROMUTC(datetime, 'US\/Eastern')

Parameter: New column name

'datetimeUTC2Eastern'

This transformation now assumes that the date values are in US/Pacific time zone and converts them to UTC:

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

CONVERTTOUTC(datetime, 'US\/Pacific')

Parameter: New column name

'datetimePacific2UTC'

The final transformation converts the date time values between arbitrary time zones. In this case, the values are assumed to be in US/Alaska time zone and are converted to US/Hawaii time zone:

Transformation Name

New formula

Parameter: Formula type

Single row formula

Parameter: Formula

CONVERTTIMEZONE(datetime, 'US\/Alaska', 'US\/Hawaii')

Parameter: New column name

'datetimeAlaska2Hawaii'

Results:

row

datetime

datetimeAlaska2Hawaii

datetimePacific2UTC

datetimeUTC2Eastern

2

2020-03-15 00:00:00

2020-03-14 22:00:00

2020-03-15 07:00:00

2020-03-14 20:00:00

4

2020-03-15 01:02:03

2020-03-14 23:02:03

2020-03-15 08:02:03

2020-03-14 21:02:03

5

2020-03-15 04:02:03

2020-03-15 02:02:03

2020-03-15 11:02:03

2020-03-15 00:02:03

6

2020-03-15 08:02:03

2020-03-15 06:02:03

2020-03-15 15:02:03

2020-03-15 04:02:03

7

2020-03-15 12:02:03

2020-03-15 10:02:03

2020-03-15 19:02:03

2020-03-15 08:02:03

8

2020-03-15 16:02:03

2020-03-15 14:02:03

2020-03-15 23:02:03

2020-03-15 12:02:03

9

2020-03-15 20:02:03

2020-03-15 18:02:03

2020-03-16 03:02:03

2020-03-15 16:02:03

10

2020-03-15 23:02:03

2020-03-15 21:02:03

2020-03-16 06:02:03

2020-03-15 19:02:03