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Merged
franciscojavierarceo merged 7 commits into from
Mar 10, 2026
Merged

feat: Adding optional name to Aggregation (feast-dev#5994) #6083

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02df4b2
feat: Adding optional name to Aggregation (feast-dev#5994)
nickquinn408 Mar 9, 2026
a684be2
Fix lint-python test
nickquinn408 Mar 9, 2026
8c312c8
Merge branch 'master' into optional_aggregation_name
nquinn408 Mar 9, 2026
0bfaeaa
Adding name to documentation
nickquinn408 Mar 9, 2026
cf0a274
Devin feedback
nickquinn408 Mar 9, 2026
001952d
Update sdk/python/feast/aggregation/__init__.py
nquinn408 Mar 9, 2026
30468f2
Merge branch 'master' into optional_aggregation_name
nquinn408 Mar 10, 2026
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Adding name to documentation 
Signed-off-by: Nick Quinn <nicholas_quinn@apple.com>
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@nickquinn408
nickquinn408 committed Mar 9, 2026
commit 0bfaeaa57f3013f12e003c7d64db2d6d6a91cf2d
3 changes: 2 additions & 1 deletion docs/getting-started/concepts/batch-feature-view.md
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Expand Up @@ -70,7 +70,7 @@ driver_fv = BatchFeatureView(
Field(name="conv_rate", dtype=Float32),
],
aggregations=[
Aggregation(column="conv_rate", function="sum", time_window=timedelta(days=1)),
Aggregation(column="conv_rate", function="sum", time_window=timedelta(days=1), name="total_conv_rate_1d"),
],
source=source,
)
Expand Down Expand Up @@ -144,6 +144,7 @@ See:
- `sink_source` is **required** when chaining views (i.e., `source` is another FeatureView or list of them).
- Schema fields must be consistent with `sink_source`, `batch_source.field_mapping` if field mappings exist.
- Aggregation logic must reference columns present in the raw source or transformed inputs.
- The output feature name for an aggregation defaults to `{function}_{column}` (e.g., `sum_conv_rate`). Use the `name` parameter to override it (e.g., `name="total_conv_rate_1d"`).

---

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13 changes: 9 additions & 4 deletions docs/getting-started/concepts/tiling.md
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Expand Up @@ -206,9 +206,9 @@ customer_features = StreamFeatureView(
batch_source=file_source, # For historical data
),
aggregations=[
Aggregation(column="amount", function="sum", time_window=timedelta(hours=1)),
Aggregation(column="amount", function="avg", time_window=timedelta(hours=1)),
Aggregation(column="amount", function="std", time_window=timedelta(hours=1)),
Aggregation(column="amount", function="sum", time_window=timedelta(hours=1), name="sum_amount_1h"),
Aggregation(column="amount", function="avg", time_window=timedelta(hours=1), name="avg_amount_1h"),
Aggregation(column="amount", function="std", time_window=timedelta(hours=1), name="std_amount_1h"),
],
timestamp_field="event_timestamp",
online=True,
Expand All @@ -229,7 +229,12 @@ customer_features = StreamFeatureView(

### Key Parameters

- `aggregations`: List of time-windowed aggregations to compute
- `aggregations`: List of time-windowed aggregations to compute. Each `Aggregation` accepts:
- `column`: source column to aggregate
- `function`: aggregation function (`sum`, `avg`, `mean`, `min`, `max`, `count`, `std`)
- `time_window`: duration of the aggregation window
- `slide_interval`: hop/slide size (defaults to `time_window`)
- `name` *(optional)*: output feature name. Defaults to `{function}_{column}` (e.g., `sum_amount`). Set this to use a custom name (e.g., `name="sum_amount_1h"`).
- `timestamp_field`: Column name for timestamps (required when aggregations are specified)
- `enable_tiling`: Enable tiling optimization (default: `False`)
- Set to `True` for **streaming scenarios**
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