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chore: update pymongo latest version to 4.13.2 #13808

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@quinna-h quinna-h commented Jun 27, 2025

Checklist

  • PR author has checked that all the criteria below are met
  • The PR description includes an overview of the change
  • The PR description articulates the motivation for the change
  • The change includes tests OR the PR description describes a testing strategy
  • The PR description notes risks associated with the change, if any
  • Newly-added code is easy to change
  • The change follows the library release note guidelines
  • The change includes or references documentation updates if necessary
  • Backport labels are set (if applicable)

Reviewer Checklist

  • Reviewer has checked that all the criteria below are met
  • Title is accurate
  • All changes are related to the pull request's stated goal
  • Avoids breaking API changes
  • Testing strategy adequately addresses listed risks
  • Newly-added code is easy to change
  • Release note makes sense to a user of the library
  • If necessary, author has acknowledged and discussed the performance implications of this PR as reported in the benchmarks PR comment
  • Backport labels are set in a manner that is consistent with the release branch maintenance policy

@quinna-h quinna-h marked this pull request as ready for review June 27, 2025 18:21
@quinna-h quinna-h requested review from a team as code owners June 27, 2025 18:21
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CODEOWNERS have been resolved as:

.riot/requirements/12616cb.txt                                          @DataDog/apm-python
.riot/requirements/13015fd.txt                                          @DataDog/apm-python
.riot/requirements/13fe884.txt                                          @DataDog/apm-python
.riot/requirements/14f1594.txt                                          @DataDog/apm-python
.riot/requirements/167d6de.txt                                          @DataDog/apm-python
.riot/requirements/185fc1c.txt                                          @DataDog/apm-python
.riot/requirements/19aba18.txt                                          @DataDog/apm-python
.riot/requirements/19bbf6d.txt                                          @DataDog/apm-python
.riot/requirements/1dbb110.txt                                          @DataDog/apm-python
.riot/requirements/1e60db0.txt                                          @DataDog/apm-python
.riot/requirements/1eb9abd.txt                                          @DataDog/apm-python
.riot/requirements/1fd0884.txt                                          @DataDog/apm-python
.riot/requirements/5a48bdf.txt                                          @DataDog/apm-python
.riot/requirements/6cb445e.txt                                          @DataDog/apm-python
.riot/requirements/8f46789.txt                                          @DataDog/apm-python
.riot/requirements/a0454b7.txt                                          @DataDog/apm-python
.riot/requirements/a98b986.txt                                          @DataDog/apm-python
.riot/requirements/b1f6b59.txt                                          @DataDog/apm-python
.riot/requirements/d0fc014.txt                                          @DataDog/apm-python
.riot/requirements/d66afaf.txt                                          @DataDog/apm-python
.riot/requirements/d7dfbc2.txt                                          @DataDog/apm-python
.riot/requirements/de7d3ce.txt                                          @DataDog/apm-python
ddtrace/contrib/integration_registry/registry.yaml                      @DataDog/apm-core-python @DataDog/apm-idm-python
supported_versions_output.json                                          @DataDog/apm-core-python
supported_versions_table.csv                                            @DataDog/apm-core-python

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github-actions bot commented Jun 27, 2025

Bootstrap import analysis

Comparison of import times between this PR and base.

Summary

The average import time from this PR is: 285 ± 6 ms.

The average import time from base is: 290 ± 6 ms.

The import time difference between this PR and base is: -5.2 ± 0.3 ms.

Import time breakdown

The following import paths have shrunk:

ddtrace.auto 2.264 ms (0.79%)
ddtrace.bootstrap.sitecustomize 1.565 ms (0.55%)
ddtrace.bootstrap.preload 1.565 ms (0.55%)
ddtrace.internal.remoteconfig.client 0.713 ms (0.25%)
ddtrace 0.699 ms (0.24%)
ddtrace.internal._unpatched 0.040 ms (0.01%)
json 0.040 ms (0.01%)
json.decoder 0.040 ms (0.01%)
re 0.040 ms (0.01%)
enum 0.040 ms (0.01%)
types 0.040 ms (0.01%)

@quinna-h quinna-h added the changelog/no-changelog A changelog entry is not required for this PR. label Jun 27, 2025
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pr-commenter bot commented Jun 27, 2025

Benchmarks

Benchmark execution time: 2025-06-27 21:43:26

Comparing candidate commit 2bf18f9 in PR branch copy-upgrade-pymongo-latest-versions with baseline commit 1cb2ea4 in branch main.

Found 1 performance improvements and 1 performance regressions! Performance is the same for 511 metrics, 3 unstable metrics.

scenario:iastaspects-replace_aspect

  • 🟥 execution_time [+576.150ns; +713.463ns] or [+12.042%; +14.912%]

scenario:span-add-metrics

  • 🟩 max_rss_usage [-361.751MB; -294.173MB] or [-38.371%; -31.203%]

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