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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.

  • input Datetime value is assumed to be in UTC time zone. 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:

convertfromutc(myUTCtimestamp,'US/Eastern')

Output: Returns the values of the myUTCtimestamp converted to US Eastern time zone.

Syntax and Arguments

<span>convertfromutc</span><span>(date, &apos;enum-timezone&apos;)</span>

Argument

Required?

Data Type

Description

date

Y

datetime

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

enum-timezone-string

Y

string

Case-sensitive string literal value corresponding to the 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.

Values are assumed to be in UTC time zone format. Coordinated Universal Time is the primary standard time by which clocks are coordinated around the world.

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-string

String literal value for the time zone to which to convert.

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