Unix Epoch Nanoseconds
Nanoseconds since Unix epoch (1970-01-01T00:00:00Z). 19-digit integer. OpenTelemetry time_unix_nano, Go time.UnixNano(). Distinct from other epoch formats by digit count (19 vs 10/13/16).
Unix Epoch Nanoseconds
datetime.timestamp.epoch_nanosecondsNanoseconds since Unix epoch (1970-01-01T00:00:00Z). 19-digit integer. OpenTelemetry time_unix_nano, Go time.UnixNano(). Distinct from other epoch formats by digit count (19 vs 10/13/16).
Domain
datetime
Category
timestamp
Casts to
TIMESTAMP
Scope
Universal
Try it
CLI
$ finetype infer -i "1705325400000000000"
→ datetime.timestamp.epoch_nanosecondsDuckDB
Detect
SELECT finetype('1705325400000000000');
-- → 'datetime.timestamp.epoch_nanoseconds'Cast expression
epoch_ns({col})Safe cast pipeline
-- Normalise and cast in one step
SELECT TRY_CAST(finetype_cast(my_column) AS TIMESTAMP) AS clean_value
FROM my_table
WHERE finetype(my_column) = 'datetime.timestamp.epoch_nanoseconds';JSON Schema
finetype schema datetime.timestamp.epoch_nanoseconds
{
"$id": "https://meridian.online/schemas/datetime.timestamp.epoch_nanoseconds",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"description": "Nanoseconds since Unix epoch (1970-01-01T00: 00: 00Z). 19-digit integer. OpenTelemetry time_unix_nano, Go time.UnixNano(). Distinct from other epoch formats by digit count (19 vs 10/13/16).",
"examples": [
"1705325400000000000",
"1704067199000000000",
"1717228530000000000"
],
"maxLength": 19,
"minLength": 19,
"pattern": "^\\d{19}$",
"title": "Unix Epoch Nanoseconds",
"type": "string",
"x-finetype-broad-type": "TIMESTAMP",
"x-finetype-transform": "epoch_ns({col})"
}Examples
170532540000000000017040671990000000001717228530000000000Aliases
unix_nano