fix: Fixing Spark min / max entity df event timestamps range return order #2735
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
… max entity-DF event timestamps in the Spark offline store. Signed-off-by: Lev Pickovsky <[email protected]>
Codecov Report
@@ Coverage Diff @@
## master #2735 +/- ##
===========================================
- Coverage 82.45% 70.39% -12.07%
===========================================
Files 155 187 +32
Lines 12788 21929 +9141
===========================================
+ Hits 10544 15436 +4892
- Misses 2244 6493 +4249
Flags with carried forward coverage won't be shown. Click here to find out more.
Continue to review full report at Codecov.
|
|
thanks for the contribution! Would you mind adding a test for this? |
|
@levpick are you still working on this? |
|
/lgtm |
adchia
changed the title
adchia
approved these changes
Jul 25, 2022
|
[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: adchia, levpick The full list of commands accepted by this bot can be found here. The pull request process is described here
Needs approval from an approver in each of these files:
Approvers can indicate their approval by writing |
felixwang9817
pushed a commit
that referenced
this pull request
Aug 2, 2022
# [0.23.0](v0.22.0...v0.23.0) (2022-08-02) ### Bug Fixes * Add dummy alias to pull_all_from_table_or_query ([#2956](#2956)) ([5e45228](5e45228)) * Bump version of Guava to mitigate cve ([#2896](#2896)) ([51df8be](51df8be)) * Change numpy version on setup.py and upgrade it to resolve dependabot warning ([#2887](#2887)) ([80ea7a9](80ea7a9)) * Change the feature store plan method to public modifier ([#2904](#2904)) ([0ec7d1a](0ec7d1a)) * Deprecate 3.7 wheels and fix verification workflow ([#2934](#2934)) ([040c910](040c910)) * Do not allow same column to be reused in data sources ([#2965](#2965)) ([661c053](661c053)) * Fix build wheels workflow to install apache-arrow correctly ([#2932](#2932)) ([bdeb4ae](bdeb4ae)) * Fix file offline store logic for feature views without ttl ([#2971](#2971)) ([26f6b69](26f6b69)) * Fix grpc and update protobuf ([#2894](#2894)) ([86e9efd](86e9efd)) * Fix night ci syntax error and update readme ([#2935](#2935)) ([b917540](b917540)) * Fix nightly ci again ([#2939](#2939)) ([1603c9e](1603c9e)) * Fix the go build and use CgoArrowAllocator to prevent incorrect garbage collection ([#2919](#2919)) ([130746e](130746e)) * Fix typo in CONTRIBUTING.md ([#2955](#2955)) ([8534f69](8534f69)) * Fixing broken links to feast documentation on java readme and contribution ([#2892](#2892)) ([d044588](d044588)) * Fixing Spark min / max entity df event timestamps range return order ([#2735](#2735)) ([ac55ce2](ac55ce2)) * Move gcp back to 1.47.0 since grpcio-tools 1.48.0 got yanked from pypi ([#2990](#2990)) ([fc447eb](fc447eb)) * Refactor testing and sort out unit and integration tests ([#2975](#2975)) ([2680f7b](2680f7b)) * Remove hard-coded integration test setup for AWS & GCP ([#2970](#2970)) ([e4507ac](e4507ac)) * Resolve small typo in README file ([#2930](#2930)) ([16ae902](16ae902)) * Revert "feat: Add snowflake online store ([#2902](#2902))" ([#2909](#2909)) ([38fd001](38fd001)) * Snowflake_online_read fix ([#2988](#2988)) ([651ce34](651ce34)) * Spark source support table with pattern "db.table" ([#2606](#2606)) ([3ce5139](3ce5139)), closes [#2605](#2605) * Switch mysql log string to use regex ([#2976](#2976)) ([5edf4b0](5edf4b0)) * Update gopy to point to fork to resolve github annotation errors. ([#2940](#2940)) ([ba2dcf1](ba2dcf1)) * Version entity serialization mechanism and fix issue with int64 vals ([#2944](#2944)) ([d0d27a3](d0d27a3)) ### Features * Add an experimental lambda-based materialization engine ([#2923](#2923)) ([6f79069](6f79069)) * Add column reordering to `write_to_offline_store` ([#2876](#2876)) ([8abc2ef](8abc2ef)) * Add custom JSON table tab w/ formatting ([#2851](#2851)) ([0159f38](0159f38)) * Add CustomSourceOptions to SavedDatasetStorage ([#2958](#2958)) ([23c09c8](23c09c8)) * Add Go option to `feast serve` command ([#2966](#2966)) ([a36a695](a36a695)) * Add interfaces for batch materialization engine ([#2901](#2901)) ([38b28ca](38b28ca)) * Add pages for individual Features to the Feast UI ([#2850](#2850)) ([9b97fca](9b97fca)) * Add snowflake online store ([#2902](#2902)) ([f758f9e](f758f9e)), closes [#2903](#2903) * Add Snowflake online store (again) ([#2922](#2922)) ([2ef71fc](2ef71fc)), closes [#2903](#2903) * Add to_remote_storage method to RetrievalJob ([#2916](#2916)) ([109ee9c](109ee9c)) * Support retrieval from multiple feature views with different join keys ([#2835](#2835)) ([056cfa1](056cfa1))
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
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.
… max entity-DF event timestamps in the Spark offline store.
Signed-off-by: Lev Pickovsky [email protected]
What this PR does / why we need it:
This PR is meant to fix the returned order of elements when calculating the timestamp range of an entity-DF in the _get_entity_df_event_timestamp_range method of the Spark offline store class in case the entity-DF is provided as a string. This method returns a tuple with 2 elements - the min and max timestamps encountered in the entity-DF. Currently, in case the entity-DF is a string, it returns the max as the first element and the min as the second, but the code that uses these values later on seems to expect the min element to be the first one (and it can also be observed that the min is the first one to be returned when the provided entity-DF is a Pandas DF). The issue was discovered following failing real-life tests of the Spark offline store which this fix seems to have resolved.