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fix(docs): use the correct otlphttp exporter in otel collector yaml#18930

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harupy merged 1 commit intomlflow:masterfrom
Miaoxiang-philips:patch-1
Nov 20, 2025
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fix(docs): use the correct otlphttp exporter in otel collector yaml#18930
harupy merged 1 commit intomlflow:masterfrom
Miaoxiang-philips:patch-1

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@Miaoxiang-philips Miaoxiang-philips commented Nov 20, 2025

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Install mlflow from this PR

# mlflow
pip install git+https://github.com/mlflow/mlflow.git@refs/pull/18930/merge
# mlflow-skinny
pip install git+https://github.com/mlflow/mlflow.git@refs/pull/18930/merge#subdirectory=libs/skinny

For Databricks, use the following command:

%sh curl -LsSf https://raw.githubusercontent.com/mlflow/mlflow/HEAD/dev/install-skinny.sh | sh -s pull/18930/merge

Since MLFlow only supports OTLP/HTTP endpoints, it is necessary to specify otlphttp exporter; otherwise, an error will be reported

Related Issues/PRs

#xxx

What changes are proposed in this pull request?

The exporter should be otlphttp, not otlp

How is this PR tested?

  • Existing unit/integration tests
  • New unit/integration tests
  • Manual tests

Does this PR require documentation update?

  • No. You can skip the rest of this section.
  • Yes. I've updated:
    • Examples
    • API references
    • Instructions

Release Notes

Is this a user-facing change?

  • No. You can skip the rest of this section.
  • Yes. Give a description of this change to be included in the release notes for MLflow users.

What component(s), interfaces, languages, and integrations does this PR affect?

Components

  • area/tracking: Tracking Service, tracking client APIs, autologging
  • area/models: MLmodel format, model serialization/deserialization, flavors
  • area/model-registry: Model Registry service, APIs, and the fluent client calls for Model Registry
  • area/scoring: MLflow Model server, model deployment tools, Spark UDFs
  • area/evaluation: MLflow model evaluation features, evaluation metrics, and evaluation workflows
  • area/gateway: MLflow AI Gateway client APIs, server, and third-party integrations
  • area/prompts: MLflow prompt engineering features, prompt templates, and prompt management
  • area/tracing: MLflow Tracing features, tracing APIs, and LLM tracing functionality
  • area/projects: MLproject format, project running backends
  • area/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev server
  • area/build: Build and test infrastructure for MLflow
  • area/docs: MLflow documentation pages

How should the PR be classified in the release notes? Choose one:

  • rn/none - No description will be included. The PR will be mentioned only by the PR number in the "Small Bugfixes and Documentation Updates" section
  • rn/breaking-change - The PR will be mentioned in the "Breaking Changes" section
  • rn/feature - A new user-facing feature worth mentioning in the release notes
  • rn/bug-fix - A user-facing bug fix worth mentioning in the release notes
  • rn/documentation - A user-facing documentation change worth mentioning in the release notes

Should this PR be included in the next patch release?

Yes should be selected for bug fixes, documentation updates, and other small changes. No should be selected for new features and larger changes. If you're unsure about the release classification of this PR, leave this unchecked to let the maintainers decide.

What is a minor/patch release?
  • Minor release: a release that increments the second part of the version number (e.g., 1.2.0 -> 1.3.0).
    Bug fixes, doc updates and new features usually go into minor releases.
  • Patch release: a release that increments the third part of the version number (e.g., 1.2.0 -> 1.2.1).
    Bug fixes and doc updates usually go into patch releases.
  • Yes (this PR will be cherry-picked and included in the next patch release)
  • No (this PR will be included in the next minor release)

@github-actions github-actions bot added area/docs Documentation issues rn/documentation Mention under Documentation Changes in Changelogs. v3.6.1 labels Nov 20, 2025
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github-actions bot commented Nov 20, 2025

Documentation preview for 1991d69 is available at:

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Looks good!

Since MLFlow only supports OTLP/HTTP endpoints, it is necessary to specify otlphttp; otherwise, an error will be reported

Signed-off-by: Miaoxiang <zs1030823169@gmail.com>
@harupy harupy enabled auto-merge November 20, 2025 06:52
@harupy harupy added this pull request to the merge queue Nov 20, 2025
Merged via the queue into mlflow:master with commit 221a0e7 Nov 20, 2025
45 checks passed
Tian-Sky-Lan pushed a commit to Tian-Sky-Lan/mlflow that referenced this pull request Nov 24, 2025
…lflow#18930)

Signed-off-by: Miaoxiang <zs1030823169@gmail.com>
Signed-off-by: Tian Lan <sky.blue266000@gmail.com>
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