GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Sign in
  • ActionsCI/CD and automation
  • CodespacesCloud development environments
  • All Features
  • Documentation
  • Training
  • Certifications
  • Build with Copilot
  • Customize Copilot
  • Integrations
  • Trending repos
  • GitHub Sponsors
  • Developer articles
  • Enterprises

This view

  • Original page
  • New address

GeezerVison is showing github.com — feat: Add multiple entity support to dbt integration by YassinNouh21 · Pull Request #5901 · feast-dev/feast

Conversation

@YassinNouh21

@YassinNouh21 YassinNouh21 commented Jan 24, 2026

Copy link
Copy Markdown
Collaborator

Summary

Adds support for multiple entities per FeatureView in the dbt integration, enabling use cases like transaction features keyed by both user_id and merchant_id.

Changes

  • CLI: Updated --entity-column option to accept multiple -e flags
  • Mapper: Modified create_feature_view() to handle multiple entity columns
  • Code Generator: Updated to generate code with multiple entities
  • Documentation: Updated with examples and usage guidelines

Usage

Single entity:

feast dbt import -m manifest.json -e driver_id --tag feast

Multiple entities:

feast dbt import -m manifest.json -e user_id -e merchant_id --tag feast

Implementation Notes

  • Clean implementation without backward compatibility (dbt integration is new)
  • Validation for duplicate entity columns
  • All entity columns must exist in each model being imported

Base

This PR builds on top of #5827 (dbt integration base feature).

Closes #5872

Sorry, something went wrong.

Uh oh!

There was an error while loading. Please reload this page.

All reactions
@YassinNouh21
feat: Add multiple entity support to dbt integration
be2eb9e
- Update CLI to accept multiple -e flags for entity columns
- Update mapper and codegen for multiple entities
- Update documentation with examples and usage

This extends the dbt integration to support FeatureViews with
multiple entities, enabling use cases like transaction features
keyed by both user_id and merchant_id.

Fixes feast-dev#5872

Signed-off-by: yassinnouh21 <[email protected]>
@YassinNouh21
YassinNouh21 requested a review from a team as a code owner January 24, 2026 13:59
@YassinNouh21
YassinNouh21 force-pushed the feat/dbt-multi-entity-clean-v2 branch from c2f9175 to b187b6d Compare January 24, 2026 14:45
@YassinNouh21
fix: Infer entity value types from dbt column types
407cffc
When creating entities from dbt models with integer columns, entities were
being created with default ValueType.STRING, causing validation errors:
"Entity X has type ValueType.STRING, which does not match the inferred type Int64"

Solution: Added mapping dict and helper function for clean type conversion:
- FEAST_TYPE_TO_VALUE_TYPE: Maps FeastType to ValueType
- feast_type_to_value_type(): Helper function for conversion
- _infer_entity_value_type(): Method in DbtToFeastMapper class

This replaces verbose if-else chains with a clean dictionary lookup pattern.

Also corrects schema generation to include entity columns, as FeatureView.__init__
expects to extract entity columns from the schema itself (lines 216-234 in
feature_view.py).

Changes:
- feast/cli/dbt_import.py: Use mapper's _infer_entity_value_type() method
- feast/dbt/mapper.py: Add type mapping dict and helper method

Signed-off-by: yassinnouh21 <[email protected]>
@YassinNouh21
YassinNouh21 force-pushed the feat/dbt-multi-entity-clean-v2 branch from b187b6d to 407cffc Compare January 24, 2026 15:03
@YassinNouh21
fix: Update unit tests for multi-entity parameter changes
5df775a
Updated test_mapper.py to use new parameter names:
- entity_column -> entity_columns (accepts both str and List[str])
- result["entity"] -> result["entities"] (now returns list)

Tests now correctly check for list of entities returned by
create_all_from_model().

Signed-off-by: yassinnouh21 <[email protected]>
franciscojavierarceo
franciscojavierarceo approved these changes Jan 26, 2026
View reviewed changes
@franciscojavierarceo

franciscojavierarceo commented Jan 26, 2026

Copy link
Copy Markdown
Member

Nice!

All reactions

Sorry, something went wrong.

Uh oh!

There was an error while loading. Please reload this page.

@franciscojavierarceo
franciscojavierarceo merged commit 05a4fb5 into feast-dev:master Jan 26, 2026
19 checks passed

Uh oh!

There was an error while loading. Please reload this page.

YassinNouh21 added a commit to YassinNouh21/feast that referenced this pull request Feb 7, 2026
@YassinNouh21
feat: Add multiple entity support to dbt integration (feast-dev#5901)
ef56ca8
* feat: Add multiple entity support to dbt integration

- Update CLI to accept multiple -e flags for entity columns
- Update mapper and codegen for multiple entities
- Update documentation with examples and usage

This extends the dbt integration to support FeatureViews with
multiple entities, enabling use cases like transaction features
keyed by both user_id and merchant_id.

Fixes feast-dev#5872

Signed-off-by: yassinnouh21 <[email protected]>

* fix: Infer entity value types from dbt column types

When creating entities from dbt models with integer columns, entities were
being created with default ValueType.STRING, causing validation errors:
"Entity X has type ValueType.STRING, which does not match the inferred type Int64"

Solution: Added mapping dict and helper function for clean type conversion:
- FEAST_TYPE_TO_VALUE_TYPE: Maps FeastType to ValueType
- feast_type_to_value_type(): Helper function for conversion
- _infer_entity_value_type(): Method in DbtToFeastMapper class

This replaces verbose if-else chains with a clean dictionary lookup pattern.

Also corrects schema generation to include entity columns, as FeatureView.__init__
expects to extract entity columns from the schema itself (lines 216-234 in
feature_view.py).

Changes:
- feast/cli/dbt_import.py: Use mapper's _infer_entity_value_type() method
- feast/dbt/mapper.py: Add type mapping dict and helper method

Signed-off-by: yassinnouh21 <[email protected]>

* fix: Update unit tests for multi-entity parameter changes

Updated test_mapper.py to use new parameter names:
- entity_column -> entity_columns (accepts both str and List[str])
- result["entity"] -> result["entities"] (now returns list)

Tests now correctly check for list of entities returned by
create_all_from_model().

Signed-off-by: yassinnouh21 <[email protected]>

---------

Signed-off-by: yassinnouh21 <[email protected]>
YassinNouh21 added a commit to YassinNouh21/feast that referenced this pull request Feb 7, 2026
@YassinNouh21
feat: Add multiple entity support to dbt integration (feast-dev#5901)
b7400aa
* feat: Add multiple entity support to dbt integration

- Update CLI to accept multiple -e flags for entity columns
- Update mapper and codegen for multiple entities
- Update documentation with examples and usage

This extends the dbt integration to support FeatureViews with
multiple entities, enabling use cases like transaction features
keyed by both user_id and merchant_id.

Fixes feast-dev#5872

Signed-off-by: yassinnouh21 <[email protected]>

* fix: Infer entity value types from dbt column types

When creating entities from dbt models with integer columns, entities were
being created with default ValueType.STRING, causing validation errors:
"Entity X has type ValueType.STRING, which does not match the inferred type Int64"

Solution: Added mapping dict and helper function for clean type conversion:
- FEAST_TYPE_TO_VALUE_TYPE: Maps FeastType to ValueType
- feast_type_to_value_type(): Helper function for conversion
- _infer_entity_value_type(): Method in DbtToFeastMapper class

This replaces verbose if-else chains with a clean dictionary lookup pattern.

Also corrects schema generation to include entity columns, as FeatureView.__init__
expects to extract entity columns from the schema itself (lines 216-234 in
feature_view.py).

Changes:
- feast/cli/dbt_import.py: Use mapper's _infer_entity_value_type() method
- feast/dbt/mapper.py: Add type mapping dict and helper method

Signed-off-by: yassinnouh21 <[email protected]>

* fix: Update unit tests for multi-entity parameter changes

Updated test_mapper.py to use new parameter names:
- entity_column -> entity_columns (accepts both str and List[str])
- result["entity"] -> result["entities"] (now returns list)

Tests now correctly check for list of entities returned by
create_all_from_model().

Signed-off-by: yassinnouh21 <[email protected]>

---------

Signed-off-by: yassinnouh21 <[email protected]>
franciscojavierarceo pushed a commit that referenced this pull request Feb 17, 2026
@feast-ci-bot
chore(release): release 0.60.0
7de3db1
# [0.60.0](v0.59.0...v0.60.0) (2026-02-17)

### Bug Fixes

* Added a flag to correctly download the go binaries ([0f77135](0f77135))
* Adds mapping of date Trino's type into string Feast's type ([531e839](531e839))
* **ci:** Use uv run for pytest in master_only benchmark step ([#5957](#5957)) ([5096010](5096010))
* Disable materialized odfvs for historical retrieval ([#5880](#5880)) ([739d28a](739d28a))
* Fix linting and formatting issues ([#5907](#5907)) ([42ca14a](42ca14a))
* Make timestamp field handling  compatible with Athena V3 ([#5936](#5936)) ([e2bad34](e2bad34))
* Support pgvector under non-default schema ([#5970](#5970)) ([c636cd4](c636cd4))
* unit tests not running on main branch ([#5909](#5909)) ([62fe664](62fe664))
* Update java dep which blocking release ([#5903](#5903)) ([a5b8186](a5b8186))
* Update the dockerfile with golang 1.24.12. ([#5918](#5918)) ([be1b522](be1b522))
* Use context.Background() in client constructors ([#5897](#5897)) ([984f93a](984f93a))

### Features

* Add blog post for PyTorch ecosystem announcement ([#5906](#5906)) ([d2eb629](d2eb629))
* Add blog post on Feast dbt integration ([#5915](#5915)) ([b3c8138](b3c8138))
* Add DynamoDB in-place list update support for array-based features ([#5916](#5916)) ([aa5973f](aa5973f))
* Add HTTP connection pooling for remote online store client ([#5895](#5895)) ([e022bf8](e022bf8))
* Add integration tests for dbt import ([#5899](#5899)) ([a444692](a444692))
* Add lazy initialization and feature service caching ([#5924](#5924)) ([b37b7d0](b37b7d0))
* Add multiple entity support to dbt integration ([#5901](#5901)) ([05a4fb5](05a4fb5)), closes [#5872](#5872)
* Add PostgreSQL online store support for Go feature server ([#5963](#5963)) ([b8c6f3d](b8c6f3d))
* Add publish docker image of Go feature server. ([#5923](#5923)) ([759d8c6](759d8c6))
* Add Set as feature type ([#5888](#5888)) ([52458fc](52458fc))
* Added online server worker config support in operator ([#5926](#5926)) ([193c72a](193c72a))
* Added support for OpenLineage integration ([#5884](#5884)) ([df70d8d](df70d8d))
* Adjust ray offline store to support abfs(s) ADLS Azure Storage ([#5911](#5911)) ([d6c0b2d](d6c0b2d))
* Batch_engine config injection in feature_store.yaml through operator ([#5938](#5938)) ([455d56c](455d56c))
* Consolidate Python packaging - remove setup.py/setup.cfg, standardize on pyproject.toml and uv ([16696b8](16696b8))
* **go:** Add MySQL registry store support for Go feature server ([#5933](#5933)) ([19f9bb8](19f9bb8))
* Improve local dev experience with file-aware hooks and auto parallelization ([#5956](#5956)) ([839b79e](839b79e))
* Modernize precommit hooks and optimize test performance ([#5929](#5929)) ([ea7d4fa](ea7d4fa))
* Optimize container infrastructure for production ([#5881](#5881)) ([5ebdac8](5ebdac8))
* Optimize DynamoDB online store for improved latency ([#5889](#5889)) ([fcc8274](fcc8274))
soooojinlee pushed a commit to soooojinlee/feast that referenced this pull request Feb 18, 2026
@feast-ci-bot @soooojinlee
chore(release): release 0.60.0
3b56ca5
# [0.60.0](feast-dev/feast@v0.59.0...v0.60.0) (2026-02-17)

### Bug Fixes

* Added a flag to correctly download the go binaries ([0f77135](feast-dev@0f77135))
* Adds mapping of date Trino's type into string Feast's type ([531e839](feast-dev@531e839))
* **ci:** Use uv run for pytest in master_only benchmark step ([feast-dev#5957](feast-dev#5957)) ([5096010](feast-dev@5096010))
* Disable materialized odfvs for historical retrieval ([feast-dev#5880](feast-dev#5880)) ([739d28a](feast-dev@739d28a))
* Fix linting and formatting issues ([feast-dev#5907](feast-dev#5907)) ([42ca14a](feast-dev@42ca14a))
* Make timestamp field handling  compatible with Athena V3 ([feast-dev#5936](feast-dev#5936)) ([e2bad34](feast-dev@e2bad34))
* Support pgvector under non-default schema ([feast-dev#5970](feast-dev#5970)) ([c636cd4](feast-dev@c636cd4))
* unit tests not running on main branch ([feast-dev#5909](feast-dev#5909)) ([62fe664](feast-dev@62fe664))
* Update java dep which blocking release ([feast-dev#5903](feast-dev#5903)) ([a5b8186](feast-dev@a5b8186))
* Update the dockerfile with golang 1.24.12. ([feast-dev#5918](feast-dev#5918)) ([be1b522](feast-dev@be1b522))
* Use context.Background() in client constructors ([feast-dev#5897](feast-dev#5897)) ([984f93a](feast-dev@984f93a))

### Features

* Add blog post for PyTorch ecosystem announcement ([feast-dev#5906](feast-dev#5906)) ([d2eb629](feast-dev@d2eb629))
* Add blog post on Feast dbt integration ([feast-dev#5915](feast-dev#5915)) ([b3c8138](feast-dev@b3c8138))
* Add DynamoDB in-place list update support for array-based features ([feast-dev#5916](feast-dev#5916)) ([aa5973f](feast-dev@aa5973f))
* Add HTTP connection pooling for remote online store client ([feast-dev#5895](feast-dev#5895)) ([e022bf8](feast-dev@e022bf8))
* Add integration tests for dbt import ([feast-dev#5899](feast-dev#5899)) ([a444692](feast-dev@a444692))
* Add lazy initialization and feature service caching ([feast-dev#5924](feast-dev#5924)) ([b37b7d0](feast-dev@b37b7d0))
* Add multiple entity support to dbt integration ([feast-dev#5901](feast-dev#5901)) ([05a4fb5](feast-dev@05a4fb5)), closes [feast-dev#5872](feast-dev#5872)
* Add PostgreSQL online store support for Go feature server ([feast-dev#5963](feast-dev#5963)) ([b8c6f3d](feast-dev@b8c6f3d))
* Add publish docker image of Go feature server. ([feast-dev#5923](feast-dev#5923)) ([759d8c6](feast-dev@759d8c6))
* Add Set as feature type ([feast-dev#5888](feast-dev#5888)) ([52458fc](feast-dev@52458fc))
* Added online server worker config support in operator ([feast-dev#5926](feast-dev#5926)) ([193c72a](feast-dev@193c72a))
* Added support for OpenLineage integration ([feast-dev#5884](feast-dev#5884)) ([df70d8d](feast-dev@df70d8d))
* Adjust ray offline store to support abfs(s) ADLS Azure Storage ([feast-dev#5911](feast-dev#5911)) ([d6c0b2d](feast-dev@d6c0b2d))
* Batch_engine config injection in feature_store.yaml through operator ([feast-dev#5938](feast-dev#5938)) ([455d56c](feast-dev@455d56c))
* Consolidate Python packaging - remove setup.py/setup.cfg, standardize on pyproject.toml and uv ([16696b8](feast-dev@16696b8))
* **go:** Add MySQL registry store support for Go feature server ([feast-dev#5933](feast-dev#5933)) ([19f9bb8](feast-dev@19f9bb8))
* Improve local dev experience with file-aware hooks and auto parallelization ([feast-dev#5956](feast-dev#5956)) ([839b79e](feast-dev@839b79e))
* Modernize precommit hooks and optimize test performance ([feast-dev#5929](feast-dev#5929)) ([ea7d4fa](feast-dev@ea7d4fa))
* Optimize container infrastructure for production ([feast-dev#5881](feast-dev#5881)) ([5ebdac8](feast-dev@5ebdac8))
* Optimize DynamoDB online store for improved latency ([feast-dev#5889](feast-dev#5889)) ([fcc8274](feast-dev@fcc8274))

Signed-off-by: soojin <[email protected]>
jyejare pushed a commit to opendatahub-io/feast that referenced this pull request Mar 9, 2026
@YassinNouh21 @jyejare
feat: Add multiple entity support to dbt integration (feast-dev#5901)
91f14f6
* feat: Add multiple entity support to dbt integration

- Update CLI to accept multiple -e flags for entity columns
- Update mapper and codegen for multiple entities
- Update documentation with examples and usage

This extends the dbt integration to support FeatureViews with
multiple entities, enabling use cases like transaction features
keyed by both user_id and merchant_id.

Fixes feast-dev#5872

Signed-off-by: yassinnouh21 <[email protected]>

* fix: Infer entity value types from dbt column types

When creating entities from dbt models with integer columns, entities were
being created with default ValueType.STRING, causing validation errors:
"Entity X has type ValueType.STRING, which does not match the inferred type Int64"

Solution: Added mapping dict and helper function for clean type conversion:
- FEAST_TYPE_TO_VALUE_TYPE: Maps FeastType to ValueType
- feast_type_to_value_type(): Helper function for conversion
- _infer_entity_value_type(): Method in DbtToFeastMapper class

This replaces verbose if-else chains with a clean dictionary lookup pattern.

Also corrects schema generation to include entity columns, as FeatureView.__init__
expects to extract entity columns from the schema itself (lines 216-234 in
feature_view.py).

Changes:
- feast/cli/dbt_import.py: Use mapper's _infer_entity_value_type() method
- feast/dbt/mapper.py: Add type mapping dict and helper method

Signed-off-by: yassinnouh21 <[email protected]>

* fix: Update unit tests for multi-entity parameter changes

Updated test_mapper.py to use new parameter names:
- entity_column -> entity_columns (accepts both str and List[str])
- result["entity"] -> result["entities"] (now returns list)

Tests now correctly check for list of entities returned by
create_all_from_model().

Signed-off-by: yassinnouh21 <[email protected]>

---------

Signed-off-by: yassinnouh21 <[email protected]>
Shizoqua pushed a commit to Shizoqua/feast that referenced this pull request Mar 18, 2026
@feast-ci-bot Shizoqua
chore(release): release 0.60.0
4b51239
# [0.60.0](feast-dev/feast@v0.59.0...v0.60.0) (2026-02-17)

### Bug Fixes

* Added a flag to correctly download the go binaries ([0f77135](feast-dev@0f77135))
* Adds mapping of date Trino's type into string Feast's type ([531e839](feast-dev@531e839))
* **ci:** Use uv run for pytest in master_only benchmark step ([feast-dev#5957](feast-dev#5957)) ([5096010](feast-dev@5096010))
* Disable materialized odfvs for historical retrieval ([feast-dev#5880](feast-dev#5880)) ([739d28a](feast-dev@739d28a))
* Fix linting and formatting issues ([feast-dev#5907](feast-dev#5907)) ([42ca14a](feast-dev@42ca14a))
* Make timestamp field handling  compatible with Athena V3 ([feast-dev#5936](feast-dev#5936)) ([e2bad34](feast-dev@e2bad34))
* Support pgvector under non-default schema ([feast-dev#5970](feast-dev#5970)) ([c636cd4](feast-dev@c636cd4))
* unit tests not running on main branch ([feast-dev#5909](feast-dev#5909)) ([62fe664](feast-dev@62fe664))
* Update java dep which blocking release ([feast-dev#5903](feast-dev#5903)) ([a5b8186](feast-dev@a5b8186))
* Update the dockerfile with golang 1.24.12. ([feast-dev#5918](feast-dev#5918)) ([be1b522](feast-dev@be1b522))
* Use context.Background() in client constructors ([feast-dev#5897](feast-dev#5897)) ([984f93a](feast-dev@984f93a))

### Features

* Add blog post for PyTorch ecosystem announcement ([feast-dev#5906](feast-dev#5906)) ([d2eb629](feast-dev@d2eb629))
* Add blog post on Feast dbt integration ([feast-dev#5915](feast-dev#5915)) ([b3c8138](feast-dev@b3c8138))
* Add DynamoDB in-place list update support for array-based features ([feast-dev#5916](feast-dev#5916)) ([aa5973f](feast-dev@aa5973f))
* Add HTTP connection pooling for remote online store client ([feast-dev#5895](feast-dev#5895)) ([e022bf8](feast-dev@e022bf8))
* Add integration tests for dbt import ([feast-dev#5899](feast-dev#5899)) ([a444692](feast-dev@a444692))
* Add lazy initialization and feature service caching ([feast-dev#5924](feast-dev#5924)) ([b37b7d0](feast-dev@b37b7d0))
* Add multiple entity support to dbt integration ([feast-dev#5901](feast-dev#5901)) ([05a4fb5](feast-dev@05a4fb5)), closes [feast-dev#5872](feast-dev#5872)
* Add PostgreSQL online store support for Go feature server ([feast-dev#5963](feast-dev#5963)) ([b8c6f3d](feast-dev@b8c6f3d))
* Add publish docker image of Go feature server. ([feast-dev#5923](feast-dev#5923)) ([759d8c6](feast-dev@759d8c6))
* Add Set as feature type ([feast-dev#5888](feast-dev#5888)) ([52458fc](feast-dev@52458fc))
* Added online server worker config support in operator ([feast-dev#5926](feast-dev#5926)) ([193c72a](feast-dev@193c72a))
* Added support for OpenLineage integration ([feast-dev#5884](feast-dev#5884)) ([df70d8d](feast-dev@df70d8d))
* Adjust ray offline store to support abfs(s) ADLS Azure Storage ([feast-dev#5911](feast-dev#5911)) ([d6c0b2d](feast-dev@d6c0b2d))
* Batch_engine config injection in feature_store.yaml through operator ([feast-dev#5938](feast-dev#5938)) ([455d56c](feast-dev@455d56c))
* Consolidate Python packaging - remove setup.py/setup.cfg, standardize on pyproject.toml and uv ([16696b8](feast-dev@16696b8))
* **go:** Add MySQL registry store support for Go feature server ([feast-dev#5933](feast-dev#5933)) ([19f9bb8](feast-dev@19f9bb8))
* Improve local dev experience with file-aware hooks and auto parallelization ([feast-dev#5956](feast-dev#5956)) ([839b79e](feast-dev@839b79e))
* Modernize precommit hooks and optimize test performance ([feast-dev#5929](feast-dev#5929)) ([ea7d4fa](feast-dev@ea7d4fa))
* Optimize container infrastructure for production ([feast-dev#5881](feast-dev#5881)) ([5ebdac8](feast-dev@5ebdac8))
* Optimize DynamoDB online store for improved latency ([feast-dev#5889](feast-dev#5889)) ([fcc8274](feast-dev@fcc8274))

Signed-off-by: Shizoqua <[email protected]>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Reviewers

@franciscojavierarceo franciscojavierarceo franciscojavierarceo approved these changes

Uh oh!

There was an error while loading. Please reload this page.

Assignees

No one assigned

Labels

None yet

Projects

None yet

Milestone

No milestone

Development

Successfully merging this pull request may close these issues.

dbt integration: Support multiple entities per FeatureView

Uh oh!

There was an error while loading. Please reload this page.

2 participants

@YassinNouh21 @franciscojavierarceo
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
You are visitor 01402503 — GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.