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XTDB

Temporal functions

Notes:

  • For information on what temporal types we support and how to construct temporal literals, see data types.

Temporal arithmetic

The following functions are available for performing arithmetic on temporal types:

addition

  • date_time + duration → date-time

  • duration + date_time → date-time

  • date_time + interval → date-time

  • interval + date_time → date-time

  • duration + duration → duration

  • interval + interval → interval

subtraction

  • date_time - duration → date-time

  • date_time - interval → date-time

  • duration - duration → duration

  • interval - interval → interval

  • date - date → integer (number of days elapsed)

multiplication

  • duration * num → duration

  • num * duration → duration

  • interval * num → interval

  • num * interval → interval

division

  • duration / num → duration

  • interval / num → interval

absolute value

  • ABS(duration) → duration

  • ABS(interval) → interval

Notes:

  • Date-times are first cast to comparable resolutions before performing arithmetic.

    e.g. adding a date-time with second resolution to a duration with microsecond resolution will first cast the date-time to microsecond resolution.

  • If local and TZ-aware date-times are passed to the same operation, the local date-time is first converted to a TZ-aware date-time using the query’s time zone.

  • If any part of any operation would cause an overflow (including implicit casts), a runtime exception will be raised.

Current time

XTDB allows fine-grained control over user requests for the 'current time', to allow for fully repeatable queries.

  • The wall-clock time of a query is fixed when the query starts. It can be explicitly specified by prefixing the query with SETTING CLOCK_TIME TO TIMESTAMP '…​'; otherwise, it will snapshot the current-time of the XTDB node.

  • The wall-clock time of a query within a transaction is fixed to the system-time of the transaction, as recorded by the log (or overridden by starting the transaction with BEGIN READ WRITE WITH (SYSTEM_TIME TIMESTAMP '…​')).

  • The time zone of the connection can be set with SET TIME ZONE TO '…​'

The following functions are available for retrieving the current time:

CURRENT_TIMESTAMP | CURRENT_TIMESTAMP(precision)

returns the current wall-clock date/time as a timestamp with time-zone.

CURRENT_DATE | CURRENT_DATE(precision)

returns the current UTC wall-clock date.

CURRENT_TIME | CURRENT_TIME(precision)

returns the current UTC wall-clock time.

LOCAL_TIMESTAMP | LOCAL_TIMESTAMP(precision)

returns the current wall-clock date/time as a local timestamp (without time-zone), as in the query’s time-zone.

LOCAL_TIME | LOCAL_TIME(precision)

returns the current wall-clock time as a local time (without time-zone), as in the query’s time-zone.

Periods

Periods in XTDB are represented as a pair of timestamps with inclusive start and exclusive end ('closed-open'). They are constructed with the PERIOD function:

PERIOD(from, to)

Returns a new period from from to to.

Most of the below period comparators have 'strictly' and 'immediate' variants.

  • 'strictly' variants check that the two periods don’t meet - e.g. PRECEDES will return true if the earlier period ends at the same time the second period starts; STRICTLY PRECEDES will return false.

  • 'immediately' variants check that the two periods do meet.

These functions will return null if any of their arguments are null.

p1 [STRICTLY] CONTAINS p2

returns true iff p1 starts before p2 starts and ends after p2 ends.

  • CONTAINS: p1-start <= p2-start, p1-end >= p2-end

  • STRICTLY CONTAINS: p1-start < p2-start, p1-end > p2-end

p1 EQUALS p2

returns true iff the two periods are equal

  • EQUALS: p1-start = p2-start, p1-end = p2-end

p1 [STRICTLY|IMMEDIATELY] LAGS p2

returns true iff p1 starts after p2 starts and ends after p2 ends.

  • LAGS: p1-start >= p2-start, p1-end > p2-end

  • STRICTLY LAGS: p1-start > p2-start, p1-end > p2-end

  • IMMEDIATELY LAGS: p1-start = p2-start, p1-end > p2-end

p1 [STRICTLY|IMMEDIATELY] LEADS p2

returns true iff p1 starts before p2 starts and ends before p2 ends.

  • LEADS: p1-start < p2-start, p1-end <= p2-end

  • STRICTLY LEADS: p1-start < p2-start, p1-end < p2-end

  • IMMEDIATELY LEADS: p1-start < p2-start, p1-end = p2-end

p1 [STRICTLY] OVERLAPS p2

returns true iff p1 starts before p2 ends and ends after p2 starts

  • OVERLAPS: p1-start < p2-end, p1-end > p2-start

  • STRICTLY OVERLAPS: p1-start > p2-start, p1-end < p2-end

p1 [STRICTLY|IMMEDIATELY] PRECEDES p2

returns true iff p1 ends before p2 starts

  • PRECEDES: p1-end <= p2-start

  • STRICTLY PRECEDES: p1-end < p2-start

  • IMMEDIATELY PRECEDES: p1-end = p2-start

p1 [STRICTLY|IMMEDIATELY] SUCCEEDS p2

returns true iff p1 starts after p2 ends

  • SUCCEEDS: p1-start >= p2-end

  • STRICTLY SUCCEEDS: p1-start > p2-end

  • IMMEDIATELY SUCCEEDS: p1-start = p2-end

The below functions operate on periods:

LOWER(p)

returns the lower bound of the provided period, or null if it is infinite.

LOWER_INF(p)

returns true iff the lower bound of the provided period is infinite.

UPPER(p)

returns the upper bound of the provided period, or null if it is infinite.

UPPER_INF(p)

returns true iff the upper bound of the provided period is infinite.

p1 * p2

returns the intersection of the two periods.

  • if you have periods for [2020, 2022] and [2021, 2023], the intersection is [2021, 2022]

  • if the periods do not intersect (including if they 'meet' - [2020, 2022] and [2022, 2024]), this function will return null.

Other temporal functions

AGE(date_time, date_time)

returns an interval representing the difference between two date-times - subtracting the second value from the first.

Works for any combination of date times, date times with time zone identifiers, or dates.

DATE_TRUNC(unit, date_time)

truncates the date-time to the given time-unit, which must be one of MILLENNIUM, CENTURY, DECADE, YEAR, QUARTER, MONTH, WEEK, DAY, HOUR, MINUTE, SECOND, MILLISECOND or MICROSECOND

DATE_TRUNC(unit, date_time, time_zone)

truncates a timezone aware date-time to the given time-unit, which must be one of MILLENNIUM, CENTURY, DECADE, YEAR, QUARTER, MONTH, WEEK, DAY, HOUR, MINUTE, SECOND, MILLISECOND or MICROSECOND, and then converts it to the specified time-zone.

The specified time-zone must be a valid time-zone identifier.

DATE_BIN(stride, timestamp [, origin])

Bins the given timestamp within the given 'stride' interval, optionally relative to the given origin (or '1970-01-01' if not supplied).

e.g. TIMESTAMP '2024-01-01T12:34:00Z' with an INTERVAL 'PT20M' stride would yield 2024-01-01T12:20Z.

EXTRACT(field FROM date_time)

extracts the given field from the date-time.

Field must be one of YEAR, MONTH, DAY, HOUR, MINUTE or SECOND.

Datetimes with timezones additionally support field values of TIMEZONE_HOUR and TIMEZONE_MINUTE.

EXTRACT(field FROM date)

extracts the given field from the date.

Field must be one of YEAR, MONTH or DAY.

EXTRACT(field FROM time)

extracts the given field from the time.

Field must be one of HOUR, MINUTE or SECOND.

EXTRACT(field FROM interval)

extracts the given field from the interval.

Field must be one of YEAR, MONTH, DAY, HOUR, MINUTE or SECOND.

GENERATE_SERIES(start, end, stride)

Generates a series of timestamps from the given start (inclusive) to the given end (exclusive), with the given stride interval.

e.g.

  • GENERATE_SERIES(DATE '2020-01-01', DATE '2020-01-04', INTERVAL '1' DAY) yields:

    [DATE '2020-01-01', DATE '2020-01-02', DATE '2020-01-03']

  • GENERATE_SERIES(TIMESTAMP '2020-01-01T00:00:00Z', TIMESTAMP '2020-01-01T01:00:00Z', INTERVAL 'PT15M') yields:

    [TIMESTAMP '2020-01-01T00:00:00Z', TIMESTAMP '2020-01-01T00:15:00Z', TIMESTAMP '2020-01-01T00:30:00Z', TIMESTAMP '2020-01-01T00:45:00Z']

  • GENERATE_SERIES(TIMESTAMP '2020-03-29T00:00:00Z[Europe/London]', TIMESTAMP '2020-03-31T00:00:00+01:00[Europe/London]', INTERVAL 'P1D') yields:

    [TIMESTAMP '2020-03-29T00:00:00Z[Europe/London]', TIMESTAMP '2020-03-30T00:00:00+01:00[Europe/London]']

    Note that, if a time-zone is specified, the series will honour any daylight savings transitions that occur within the series.

  • GENERATE_SERIES(TIMESTAMP '2020-03-29T00:00:00Z[Europe/London]', TIMESTAMP '2020-03-31T00:00:00+01:00[Europe/London]', INTERVAL 'PT24') yields:

    [TIMESTAMP '2020-03-29T00:00:00Z[Europe/London]', TIMESTAMP '2020-03-29T23:00:00+01:00[Europe/London]']

    Note the difference between adding 24 hours and adding 1 day when there are DST boundaries!

This timezone-aware behaviour is an extension to PostgreSQL’s generate_series function - XTDB maintains and stores any TZ information you provide.

RANGE_BINS(stride, period [, origin])

Aligns the given period within bins of the given 'stride' interval, optionally relative to the given origin (or '1970-01-01' if not supplied).

Returns an array of structs, each containing the _from and _to of the bin, and a _weight representing the proportion of the original range contained within the given bin.

e.g.

  • A period of 00:05-00:10 within 15 minute bins yields one bin, 00:00-00:15 with weight 1.0:

    RANGE_BINS(INTERVAL 'PT15M',
           PERIOD(TIMESTAMP '2020-01-01T00:05Z',
           TIMESTAMP '2020-01-01T00:10Z'))

-- [{_from: '2020-01-01T00:00Z', _to: '2020-01-01T00:15Z', _weight: 1.0}]

  • A period of 12:57-13:02 within hourly bins yields two bins, 12:00-13:00 with weight 0.6, and 13:00-14:00 with weight 0.4:

    RANGE_BINS(INTERVAL 'PT1H',
           PERIOD(TIMESTAMP '2020-01-01T12:57Z',
           TIMESTAMP '2020-01-01T13:02Z'))

-- [{_from: '2020-01-01T12:00Z', _to: '2020-01-01T13:00Z', _weight: 0.6},
--  {_from: '2020-01-01T13:00Z', _to: '2020-01-01T14:00Z', _weight: 0.4}]