Pulse Documentation

name: op-feat-date-features
description: Expand a date or datetime field into year / month / day / day-of-week / quarter (+ hour) columns.
kind: operator
category: FEAT
operator: FEAT_DATE_FEATURES
type: reference
applies_to: process, compose, predict
examples_tags: [feature-engineering, time-series, pre-filter]

Feature operators emit derived columns; no Response.Components.

Use when

Splits a date into year, month, day, day of week and quarter columns, so each part can be filtered, grouped or modelled.

Questions it answers:

• Do orders differ by day of the week?
• Is there a seasonal pattern by month across several years?

Use something else:

• ATTR_DATE_PART when you need just one part of the date.
• GROUP_DATE when you want results grouped by day, month or year.

Params

None. Field (required) — params block is unused.

Inputs

Field — date or datetime; any other type is refused.

Output

Columns prefixed by Label (default the field name):

Gotchas

• Null source → every column null.
• dow 0 = Sunday, NOT ISO; ignores week_start.
• Suffixes are dow / quarter (not day_of_week / is_weekend).
• Zone-capable: a datetime reads the LOCAL clock (slot tz → time_zone → default → UTC). A date ignores zones: explicit tz refused, inherited not applied.
• Streamable per-row.

See

• pulse_examples_search tags=[time-series], tags=[feature-engineering]
• Skills: feature-engineering, op-attr-date-part, request-envelope (Time zones)