| FazBrowse GitHub Viewer | Trending | | Home |
| Tools: [Download Repo ZIP] [Original HTTPS Page] |
|
⚠️ Please install the Codecov Report✅ All modified and coverable lines are covered by tests. @@ Coverage Diff @@
## master #6811 +/- ##
==========================================
+ Coverage 47.41% 47.44% +0.02%
==========================================
Files 421 421
Lines 52249 52273 +24
Branches 7582 7587 +5
==========================================
+ Hits 24776 24801 +25
Misses 25708 25708
+ Partials 1765 1764 -1
... and 1 file with indirect coverage changes Continue to review full report in Codecov by Harness. 🚀 New features to boost your workflow:
|
Sorry, something went wrong.
|
The macOS Python 3.12 unit-test job is still failing after the rerun. I checked the failure, and the only failing test is test_module_level_fips_sets_env_before_pyarrow_import, which times out after 60 seconds while importing feast.offline_server. All feature-server-related tests and the other Python/macOS/Linux unit-test jobs pass, so this appears unrelated to the changes in this PR. |
Sorry, something went wrong.
|
Rebased onto current master to pick up #6835, which fixes the CPU wheel hash mismatch and stabilizes the FIPS import test seen in the previous CI runs. CI is rerunning now. Thanks! |
Sorry, something went wrong.
|
@jingqian-liu can you please resolve conflicts ? |
Sorry, something went wrong.
Resolved the conflicts with current master and pushed the updated branch. Thanks! |
Sorry, something went wrong.
Hi @ntkathole, the conflicts are resolved and the branch has been rebased onto current master. Since master is moving quickly, if everything looks good after the workflows are approved, would you mind merging this when convenient? Thanks! |
Sorry, something went wrong.
Signed-off-by: Jingqian Liu <ljqstella@gmail.com>
Signed-off-by: Jingqian Liu <ljqstella@gmail.com>
Signed-off-by: Jingqian Liu <ljqstella@gmail.com>
| Back | FazBrowse Home | New Git URL |
What this PR does / why we need it:
The feature_count label on
feast_feature_server_request_latency_seconds currently uses the exact
number of requested features. For workloads with widely varying feature
counts, this can create a large number of Prometheus time series and
increase metric cardinality.
This PR:
metric label is bucketed.
increasing.
For example: