Extended Blending
Blend the same dimension across different tables in a single query using extended_blend_group.
Overview
When the same logical dimension (e.g. Order Date, Customer) exists in more than one table with different physical columns, you can mark them with a shared extended_blend_group. Strata can then treat them as one blended dimension when building queries across those tables.
Configuration
Set the same extended_blend_group value on each dimension that should blend together:
# In tbl.orders.yml
fields:
- type: dimension
name: Order Date
data_type: date
extended_blend_group: order_date_blend
expression:
sql: order_date
# In tbl.shipments.yml
fields:
- type: dimension
name: Order Date
data_type: date
extended_blend_group: order_date_blend
expression:
sql: shipment_date
Dimensions in the same extended_blend_group can be used together in a query even when they come from different tables; the planner will blend them according to the model and relationships.
When to Use
- Same business dimension, different tables — e.g. “Order Date” in orders vs shipments
- Cross-table date alignment — Comparing or filtering by a common date concept across fact tables
- Shared attributes across models — A dimension that is defined in multiple tables and should behave as one for querying
Requirements
- Same
extended_blend_groupstring (case-insensitive) on each dimension - Compatible
data_type(e.g. bothdateor bothdate_time) - Dimensions must be in the same branch/universe for blending to apply
Example: Cross-Table Date
# tbl.sales.yml
fields:
- type: dimension
name: Sale Date
data_type: date
extended_blend_group: activity_date
grains:
- day
- week
- month
- quarter
- year
expression:
sql: sale_date
- type: measure
name: Revenue
...
# tbl.returns.yml
fields:
- type: dimension
name: Return Date
data_type: date
extended_blend_group: activity_date
grains:
- day
- week
- month
- quarter
- year
expression:
sql: return_date
- type: measure
name: Returned Amount
...
With activity_date as the shared extended_blend_group, queries can use a single “activity date” concept across both sales and returns.
Advanced: Blend Groups and Query Planning
For how blend groups affect query planning, path formation, and multi-table scenarios, see Extended blending groups.
Next Steps
- Dimensions —
extended_blend_groupis set on dimensions - Extended blending groups — Use cases and behavior in depth