DATETIMECONVERT
This section contains reference documentation for the DATETIMECONVERT function.
Converts the value from a column that contains a timestamp into another time unit and buckets based on the given time granularity.
Signature
DATETIMECONVERT(columnName, inputFormat, outputFormat, outputGranularity, bucketTimeZone)
inputFormat
and outputFormat
are defined using the following structure:
<time size>:<time unit>:<time format>:<pattern>
where:
time size
- size of the time unit eg: 1, 10time unit
-DAYS
,HOURS
,MINUTES
,SECONDS
,MILLISECONDS
,MICROSECONDS
,NANOSECONDS
time format
EPOCH
SIMPLE_DATE_FORMAT
pattern - defined in case ofSIMPLE_DATE_FORMAT
e.g.yyyy-MM-dd
. A specific timezone can be passed usingtz(timezone)
. Timezone can be long or short string format timezone. e.g.Asia/Kolkata
orPDT
granularity
is specified in the format <time size>:<time unit>
.
bucketTimeZone -
(optional) time zone used when bucketing, e.g. 'PST' or 'Europe/London' or '+00:00' . When parameter is set, bucketing is performed relative to time unit one level bigger than granularity unit (e.g. month for day granularity), even when input and output are epoch timestamps.
For example, when bucketing epoch millis of 2024-09-20T00:13:27.834Z
to 5 hours we get:
with no time zone -> 2024-09-19T20:00:00.000Z
with explicit UTC time zone -> 2024-09-20T00:00:00.000Z
Similarly, when bucketing epoch millis of the date to 5 days we get:
with no time zone -> 2024-02-19T00:00:00.000Z
with explicit UTC time zone -> 2024-09-16T00:00:00.000Z
Usage Examples
These examples are based on the Batch JSON Quick Start.
created_at_timestamp
from milliseconds since epoch to days since epoch, bucketed to 1 day granularity:
id | created_at_timestamp | timeInMs | convertedTime |
---|---|---|---|
7044874134 | 2018-01-01 11:00:00.0 | 1514804402000 | 17532 |
created_at_timestamp
bucketed to 1 day granularity without time zone:
id | created_at_timestamp | timeInMs | convertedTime |
---|---|---|---|
7044874134 | 2018-01-01 12:00:02.0 | 1514804402000 | 1514764800000 |
created_at_timestamp
bucketed to 1 day granularity using Europe/Berlin
time zone:
id | created_at_timestamp | timeInMs | convertedTime |
---|---|---|---|
7044874134 | 2018-01-01 12:00:02.0 | 1514804402000 | 1514761200000 |
created_at_timestamp
bucketed to 15 minutes granularity:
id | created_at_timestamp | timeInMs | convertedTime |
---|---|---|---|
7044874134 | 2018-01-01 11:00:00.0 | 1514804402000 | 1514804400000 |
created_at_timestamp
to format yyyy-MM-dd
, bucketed to 1 days granularity:
id | created_at_timestamp | timeInMs | convertedTime |
---|---|---|---|
7044874134 | 2018-01-01 11:00:00.0 | 1514804402000 | 2018-01-01 |
created_at_timestamp
to format yyyy-MM-dd HH:mm
, in timezone Pacific/Kiritimati
:
id | created_at_timestamp | timeInMs | convertedTime |
---|---|---|---|
7044874134 | 2018-01-01 11:00:00.0 | 1514804402000 | 2018-01-02 01:00 |
created_at_timestamp
to format yyyy-MM-dd
, in timezone Pacific/Kiritimati
and bucketed to 1 day granularity:
id | created_at_timestamp | timeInMs | convertedTime |
---|---|---|---|
7044874134 | 2018-01-01 11:00:00.0 | 1514804402000 | 2018-01-02 00:00 |
created_at_timestamp
to format yyyy-MM-dd
, in UTC (default) timezone and bucketed to 1 day granularity :
id | created_at_timestamp | timeInMs | convertedTime |
---|---|---|---|
7044874134 | 2018-01-01 12:00:02.0 | 1514804402000 | 2017-12-31 23:00 |
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