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Add ENV variables to control GCS upload/download chunk size and timeouts #5438

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merged 7 commits into from
Mar 5, 2022

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mokrueger
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Add ENV variables to control GCS upload/download chunk size and timeouts
(fixes GCS timeouts for uploads/downloads with slow transfer speeds -> more info #3478 )

Partial fix to #3478

What changes are proposed in this pull request?

Add ENV variables to control GCS upload/download chunk size and timeouts. Implementation details are open for discussion.

How is this patch tested?

Not yet.

Does this PR change the documentation?

  • No. You can skip the rest of this section.
  • Yes. Make sure the changed pages / sections render correctly by following the steps below.
  1. Check the status of the ci/circleci: build_doc check. If it's successful, proceed to the
    next step, otherwise fix it.
  2. Click Details on the right to open the job page of CircleCI.
  3. Click the Artifacts tab.
  4. Click docs/build/html/index.html.
  5. Find the changed pages / sections and make sure they render correctly.

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.

Environment variables MLFLOW_GCS_DEFAULT_TIMEOUT, MLFLOW_GCS_UPLOAD_CHUNK_SIZE, MLFLOW_GCS_DOWNLOAD_CHUNK_SIZE added to control GCS artifact storage

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

Components

  • area/artifacts: Artifact stores and artifact logging
  • area/build: Build and test infrastructure for MLflow
  • area/docs: MLflow documentation pages
  • area/examples: Example code
  • area/model-registry: Model Registry service, APIs, and the fluent client calls for Model Registry
  • area/models: MLmodel format, model serialization/deserialization, flavors
  • area/projects: MLproject format, project running backends
  • area/scoring: MLflow Model server, model deployment tools, Spark UDFs
  • area/server-infra: MLflow Tracking server backend
  • area/tracking: Tracking Service, tracking client APIs, autologging

Interface

  • area/uiux: Front-end, user experience, plotting, JavaScript, JavaScript dev server
  • area/docker: Docker use across MLflow's components, such as MLflow Projects and MLflow Models
  • area/sqlalchemy: Use of SQLAlchemy in the Tracking Service or Model Registry
  • area/windows: Windows support

Language

  • language/r: R APIs and clients
  • language/java: Java APIs and clients
  • language/new: Proposals for new client languages

Integrations

  • integrations/azure: Azure and Azure ML integrations
  • integrations/sagemaker: SageMaker integrations
  • integrations/databricks: Databricks integrations

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

  • rn/breaking-change - The PR will be mentioned in the "Breaking Changes" section
  • 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/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

@github-actions github-actions bot added area/artifacts Artifact stores and artifact logging rn/bug-fix Mention under Bug Fixes in Changelogs. labels Mar 1, 2022
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github-actions bot commented Mar 1, 2022

@mokrueger Thanks for the contribution! The DCO check failed. Please sign off your commits by following the instructions here: https://github.com/mlflow/mlflow/runs/5374804456. See https://github.com/mlflow/mlflow/blob/master/CONTRIBUTING.rst#sign-your-work for more details.

…eouts

(fixes GCS timeouts for uploads/downloads with slow transfer speeds)

Signed-off-by: Moritz Krüger <moritz.krueger@fn.de>
@dbczumar dbczumar marked this pull request as ready for review March 1, 2022 23:49
Comment on lines 957 to 958
- ``MLFLOW_GCS_UPLOAD_CHUNK_SIZE`` - Set the standard upload chunk size for bigger files in KB (GCP Default: 104857600 ≙ 100MB), must be multiple of 256 KB
- ``MLFLOW_GCS_DOWNLOAD_CHUNK_SIZE`` - Set the standard download chunk size for bigger files in KB (GCP Default: 104857600 ≙ 100MB), must be multiple of 256 KB
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Would it be beneficial to most users if we reduced this chunk size (or increased the timeout) to reduce occurrences of #3478?

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Errors would mostly occur if the upload speed is slower than 13.3 Mbit/s (~1.67 MB/s), so probably if experiments are run locally (eg. local testing) and not in cloud environments. A default increase of the timeout would definitely help that. On the other side it’s probably impossible to avoid errors like that for all users since some people (including myself) have really slow uploads locally which would require really high timeout settings, so maybe it’s enough for people to set it up themselves. But I’m by no means a timeout expert

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dbczumar commented Mar 2, 2022

autoformat

mlflow-automation and others added 2 commits March 2, 2022 00:19
Signed-off-by: mlflow-automation <mlflow-automation@users.noreply.github.com>
…ew parameters.

Signed-off-by: Moritz Krüger <moritz.krueger@fn.de>
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Adjusted the tests. Should go through now.

…ew parameters.

Signed-off-by: Moritz Krüger <moritz.krueger@fn.de>
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LGTM! Thanks @mokrueger !

Signed-off-by: Moritz Krüger <moritz.krueger@fn.de>
Signed-off-by: Moritz Krüger <moritz.krueger@fn.de>
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Fixed the linting issues. Thanks for the help on this PR (and my first ever contribution), @dbczumar !

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dbczumar commented Mar 5, 2022

Fixed the linting issues. Thanks for the help on this PR (and my first ever contribution), @dbczumar !

Awesome! No problem!

Signed-off-by: Moritz Krüger <moritz.krueger@fn.de>
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@dbczumar, I fixed the linting again. Guess it didn't like it before for some reason.

@dbczumar dbczumar merged commit 9ad270c into mlflow:master Mar 5, 2022
mokrueger referenced this pull request in morkru/mlflow Mar 7, 2022
…eouts

Signed-off-by: Moritz Krüger <moritz.krueger@witt-gruppe.eu>
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Hi,

Is there a similar ENV variable for Minio ?

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4 participants