ES|QL time spans
Serverless Stack
Time spans represent intervals between two datetime values. There are currently two supported types of time spans:
DATE_PERIODspecifies intervals in years, quarters, months, weeks and daysTIME_DURATIONspecifies intervals in hours, minutes, seconds and milliseconds
A time span requires two elements: an integer value and a temporal unit.
Time spans work with grouping functions such as BUCKET,
scalar functions such as DATE_TRUNC
and arithmetic operators such as +
and -.
Convert strings to time spans using TO_DATEPERIOD,
TO_TIMEDURATION,
or the cast operators ::DATE_PERIOD, ::TIME_DURATION.
With BUCKET:
FROM employees
| WHERE hire_date >= "1985-01-01T00:00:00Z" AND hire_date < "1986-01-01T00:00:00Z"
| STATS hires_per_week = COUNT(*) BY week = BUCKET(hire_date, 1 week)
| SORT week
| hires_per_week:long | week:date |
|---|---|
| 2 | 1985-02-18T00:00:00.000Z |
| 1 | 1985-05-13T00:00:00.000Z |
| 1 | 1985-07-08T00:00:00.000Z |
| 1 | 1985-09-16T00:00:00.000Z |
| 2 | 1985-10-14T00:00:00.000Z |
| 4 | 1985-11-18T00:00:00.000Z |
With DATE_TRUNC:
FROM employees
| KEEP first_name, last_name, hire_date
| EVAL year_hired = DATE_TRUNC(1 year, hire_date)
| first_name:keyword | last_name:keyword | hire_date:date | year_hired:date |
|---|---|---|---|
| Alejandro | McAlpine | 1991-06-26T00:00:00.000Z | 1991-01-01T00:00:00.000Z |
| Amabile | Gomatam | 1992-11-18T00:00:00.000Z | 1992-01-01T00:00:00.000Z |
| Anneke | Preusig | 1989-06-02T00:00:00.000Z | 1989-01-01T00:00:00.000Z |
With + and/or -:
FROM sample_data
| WHERE @timestamp > NOW() - 1 hour
| @timestamp:date | client_ip:ip | event_duration:long | message:keyword |
|---|
When a time span is provided as a named parameter in string format, TO_DATEPERIOD, ::DATE_PERIOD, TO_TIMEDURATION or ::TIME_DURATION can be used to convert to its corresponding time span value for arithmetic operations like + and/or -.
POST /_query
{
"query": """
FROM employees
| EVAL x = hire_date + ?timespan::DATE_PERIOD, y = hire_date - TO_DATEPERIOD(?timespan)
""",
"params": [{"timespan" : "1 day"}]
}
When a time span is provided as a named parameter in string format, it can be automatically converted to its corresponding time span value in grouping functions and scalar functions, like BUCKET and DATE_TRUNC.
POST /_query
{
"query": """
FROM employees
| WHERE hire_date >= "1985-01-01T00:00:00Z" AND hire_date < "1986-01-01T00:00:00Z"
| STATS hires_per_week = COUNT(*) BY week = BUCKET(hire_date, ?timespan)
| SORT week
""",
"params": [{"timespan" : "1 week"}]
}
POST /_query
{
"query": """
FROM employees
| KEEP first_name, last_name, hire_date
| EVAL year_hired = DATE_TRUNC(?timespan, hire_date)
""",
"params": [{"timespan" : "1 year"}]
}
| Temporal Units | Valid Abbreviations |
|---|---|
| year | y, yr, years |
| quarter | q, quarters |
| month | mo, months |
| week | w, weeks |
| day | d, days |
| hour | h, hours |
| minute | m, min, minutes |
| second | s, sec, seconds |
| millisecond | ms, milliseconds |