fix: Fixing Spark min / max entity df event timestamps range return order #2735
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… max entity-DF event timestamps in the Spark offline store. Signed-off-by: Lev Pickovsky <lev.pickovsky@ironsrc.com>
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## master #2735 +/- ##
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- Coverage 82.45% 70.39% -12.07%
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Files 155 187 +32
Lines 12788 21929 +9141
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+ Hits 10544 15436 +4892
- Misses 2244 6493 +4249
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thanks for the contribution! Would you mind adding a test for this? |
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@levpick are you still working on this? |
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/lgtm |
adchia
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[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
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# [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))
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… max entity-DF event timestamps in the Spark offline store.
Signed-off-by: Lev Pickovsky lev.pickovsky@ironsrc.com
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.