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Date and Time Formats

Fast parse provides a fast, simple set of routines for parsing data. Fast parse supports the following formats for date and time data types.

Fast parse supports the following string formats for date data:

  • Date formats that include leading white spaces. For example, the value " 2004- 02-03" is valid.

  • ISO 8601 formats, as listed in the following table:

    Format

    Description

    YYYYMMDD

    YYYY-MM-DD

    Basic and extended formats for a four-digit year, a two-digit month, and a two-digit day. In the extended format, the date parts are separated by a hyphen (-).

    YYYY-MM

    Basic and extended reduced precision formats for a four-digit year and a two-digit month. In the extended format, the date parts are separated by a hyphen (-).

    YYYY

    Reduced precision format is a four-digit year.

Fast parse does not support the following formats for date data:

  • Alphabetical month values. For example, the date format Oct-31-2003 is not valid.

  • Ambiguous formats such as DD-MM-YYYY and MM-DD-YYYY. For example, the dates 03-04-1995 and 04-03-1995 are not valid.

  • Basic and extended truncated formats for a four-digit calendar year and a three-digit day within a year, YYYYDDD and YYYY-DDD.

  • Basic and extended formats for a four-digit year, a two-digit number for the week of the year, and a one-digit number for the day of the week, YYYYWwwD and YYYY-Www-D

  • Basic and extended truncated formats for a year and week date are a four-digit year and a two-digit number for the week, YYYWww and YYYY-Www

Fast parse outputs the data as DT_DBDATE. Date values in truncated formats are padded. For example, YYYY becomes YYYY0101.

For more information, see Integration Services Data Types.

Fast parse supports the following string formats for time data:

  • Time formats that include leading white spaces. For example, the value " 10:24" is valid.

  • 24-hour format. Fast parse does not support the AM and PM notation.

  • ISO 8601 time formats, as listed in the following table:

    Format

    Description

    HHMISS

    HH:MI:SS

    Basic and extended formats for a two-digit hour, a two-digit minute, and a two-digit second. In the extended format, the time parts are separated by a colon (:).

    HHMI

    HH:MI

    Basic and extended truncated format for a two-digit hour and a two-digit minute. In the extended format, the time parts are separated by a colon (:).

    HH

    Truncated format for a two-digit hour.

    00:00:00

    000000

    0000

    00

    240000

    24:00:00

    2400

    24

    The format for midnight.

  • Time formats that specify a time zone, as listed in the following table:.

    Format

    Description

    +HH:MI

    +HHMI

    Basic and extended formats that indicate the number of hours and minutes that are added to Coordinated Universal Time (UTC) to obtain the local time.

    -HH:MI

    -HHMI

    Basic and extended formats that indicate the number of hours and minutes that are subtracted from UTC to obtain the local time.

    +HH

    Truncated format that indicates the number of hours that are added to UTC to obtain the local time.

    -HH

    Truncated format that indicates the number of hours that are subtracted from UTC to obtain the local time.

    Z

    A value of 0 that indicates the time is represented in UTC.

    The formats for all time and date/time data can include a time zone element. However, the system ignores the time zone value except when the data is of type DT_DBTIMESTAMPOFFSET. For more information, see Integration Services Data Types.

    In formats that include a time zone element, there is no space between the time element and the time zone element, as shown in the following example:

    HH:MI:SS[+HH:MI]

    The brackets in the previous example indicate that the time zone value is optional.

  • Time formats that include a decimal fraction, as listed in the following table:

    Format

    Description

    HH[.nnnnnnn]

    n is a value between 0 and 9999999 that represents a fraction of hours. The brackets indicate that this value is optional.

    For example, the value 12.750 indicates 12:45.

    HHMI[.nnnnnnn]

    HH:MI[.nnnnnnn]

    n is a value between 0 and 9999999 that represents a fraction of minutes. The brackets indicate that this value is optional.

    For example, the value 1220.500 indicates 12:20:30.

    HHMISS[.nnnnnnn]

    HH:MI:SS[.nnnnnnn]

    n is a value between 0 and 9999999 that represents a fraction of seconds. The brackets indicate that this value is optional.

    For example, the value 122040.250 indicates 12:20:40.15.

    Note Note

    The fraction separator for the time formats in the previous table can be a decimal or a comma.

  • Time values that include a leap second, as shown in the following examples:

    23:59:60[.0000000]

    235960[.0000000]

Fast parse outputs the strings as DT_DBTIME and DT_DBTIME2. Time values in truncated formats are padded. For example, HH:MI becomes HH:MM:00.000.

For more information, see Integration Services Data Types.

Fast parse supports the following string formats for date/time data:

  • Formats that include leading white spaces. For example, the value " 2003-01-10T203910" is valid.

  • Combinations of valid date formats and valid time formats separated by an uppercase T, and valid time zone formats, such as YYYYMMDDT[HHMISS][+HH:MI]. The time and time zone values are not required. For example, "2003-10-14" is valid.

Fast parse does not support time intervals. For example, a time interval identified by a start and end date and time in the format YYYYMMDDThhmmss/YYYYMMDDThhmmss cannot be parsed.

Fast parse outputs the strings as DT_DATE, DT_DBTIMESTAMP, DT_DBTIMESTAMP2, and DT_DBTIMESTAMPOFFSET. Date/time values in truncated formats are padded. The following table lists the values that are added for missing date and time parts.

Date/Time part

Padding

Seconds

Add 00.

Minutes

Add 00:00.

Hour

Add 00:00:00.

Day

Add 01 for the day of the month.

Month

Add 01 for the month of the year.

For more information, see Integration Services Data Types.

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