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CHANGELOG.md

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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

NOTE: For CLI interfaces, we support SemVer approach. However, for API components we don't use SemVer as of now. This may lead to instability when using dbx API methods directly.

Please read through the Keep a Changelog (~5min).

[UNRELEASED] - YYYY-MM-DD


Unreleased changes must be tracked above this line. When releasing, Copy the changelog to below this line, with proper version and date. And empty the [Unreleased] section above.


[0.7.5] - 2022-09-15

Added

  • 📖 documentation on the dependency management
  • ✨ failsafe switch for assets-based shared job clusters

Fixed

  • 🎨 404 page in docs is now rendered correctly
  • ✏️ Small typos in the docs
  • ✏️ Reference structures for libraries section
  • 🔗 Broken links in the docs

[0.7.4] - 2022-08-31

Added

  • 📖 documentation on the integration tests

Changed

  • ♻️ refactored poetry build logic

Fixed

  • 📖 indents in quickstart doc
  • 📝 add integration tests to the quickstart structure

[0.7.3] - 2022-08-29

Added

  • ✨ add pip install extras option
  • 🎨 Nice spinners for long-running processes (e.g. cluster start and run tracing)
  • 🧪 Add convenient integration tests interface example

Changed

  • 📖 Small typos in Jinja docs
  • 📖 Formatting issues in cluster types doc

[0.7.2] - 2022-08-28

Fixed

  • 🐛 bug with context provisioning for dbx execute

[0.7.1] - 2022-08-28

Added

  • ⚡️dbx destroy command
  • ☁️ failsafe behaviour for shared clusters when assets-based launch is used
  • 📖 Documentation with cluster types guidance
  • 📖 Documentation with scheduling and orchestration links
  • 📖 Documentation for mixed-mode projects DevOps

Changed

  • ✨Add .dbx/sync folder to template gitignore
  • ✨Changed the dependencies from the mlflow to a more lightweight mlflow-skinny option
  • ✨Added suppression for too verbose click stacktraces
  • ⚡️added execute_shell_command fixture, improving tests performance x2
  • ⚡️added failsafe check for get_experiment_by_name call

[0.7.0] - 2022-08-24

Added

  • 🎨Switch all the CLI interfaces to typer
  • ✨Add workflow-name argument to dbx deploy, dbx launch and dbx execute
  • ✨Add --workflows argument to dbx deploy
  • ✨Add --assets-only and --from-assets as a clearer replacement for old arguments
  • ⚡️Add support for --environment parameter for dbx sync commands
  • ✨Add flexible parameter overriding logic for dbx execute via new --parameters option
  • ✨Add flexible parameter overriding logic for dbx launch via new --parameters option (RunNow API)
  • ✨Add flexible parameter overriding logic for dbx launch via new --parameters option (RunSubmit API)
  • ✨Add inplace Jinja support for YAML and JSON files, can be configured via dbx configure --enable-inplace-jinja-support
  • ✨Add build logic options for pip, poetry and flit
  • ✨Add build logic customization with build.commands section
  • ✨Add support for custom Python functions in Jinja templates

Changed

  • ✨Arguments --allow-delete-unmatched/--disallow-delete-unmatched were replaced with --unmatched-behaviour option.
  • 🏷️Deprecate jobs section and rename it to workflows
  • 🏷️Deprecate job and jobs options and rename it to workflow argument
  • ✨Refactored all cluster-relevant methods into a separate ClusterController
  • ✨Refactored model-related components for .dbx/project.json file
  • ✨Refactored launch-related API-level code
  • ⚡️Deleted autouse of temp_project fixture to speedup the tests
  • 🚩Deprecate --files-only and --as-run-submit options
  • 🚩Deprecate --files-only and --as-run-submit options
  • 🚩Delete the Azure Data Factory-related functionality. Unfortunately we're unable to make this integration stable and secure due to resource lack and lack of RunNow API.
  • 💎Documentation framework changed from sphinx to mkdocs
  • 💎Documentation has been heavily re-worked and improved

Fixed

  • 🐛dbx sync now takes into account HTTP(S)_PROXY env variables
  • 🐛empty task parameters are now supported
  • 🐛ACLs are now properly updated for Jobs API 2.1

[0.6.12] - 2022-08-15

Added

  • --jinja-variables-file for dbx execute

Fixed

  • Support jobs_api_version values provided by config in ApiClient construction
  • References and wording in the Python template

[0.6.11] - 2022-08-09

Fixed

  • Callback issue in --jinja-variables-file for dbx deploy

[0.6.10] - 2022-08-04

Added

  • Added support for python_wheel_task in dbx execute

Fixed

  • Error in case when .dbx/project.json is non-existent
  • Error in case when environment is not provided in the project file
  • Path usage when --upload-via-context on win platform

[0.6.9] - 2022-08-03

Added

  • Additional sync command options (--no-use-gitignore, --force-include, etc.) for more control over what is synced.
  • Additional init command option --template was added to allow using dbx templates distributed as part of python packages.
  • Refactored the --deployment-file option for better modularity of the code
  • Add upload via context for dbx execute

[0.6.8] - 2022-07-21

Fixed

  • Tasks naming in tests imports for Python template

[0.6.7] - 2022-07-21

Fixed

  • Task naming and references in the Python template
  • Small typo in Python template

[0.6.6] - 2022-07-21

Changed

  • Rename workloads to tasks in the Python package template
  • Documentation structure has been refactored

Added

  • Option (--include-output) to include run stderr and stdout output to the console output
  • Docs describing how-to for Python packaging
  • New option for Jinja-based deployment parameter passing from a YAML file (--jinja-variables-file)
  • Support for multitask jobs in dbx execute

[0.6.5] - 2022-07-19

Fixed

  • Local build command now produces only one file in the dist folder

Added

  • Add dist directory cleanup before core package build
  • Add --job-run-log-level option to dbx launch to retrieve log after trace run

Changed

  • Separate unit-requirements.txt file has been deleted from the template

[0.6.4] - 2022-07-01

Fixed

  • RunSubmit based launch when cloud storage is used as an artifact location

[0.6.3] - 2022-06-28

Added

  • Module-based interface for launching commands in Azure Pipelines

Changed

  • All invocations in Azure Pipelines template are now module-based (python -m ...)

[0.6.2] - 2022-06-24

  • Fix auth ordering (now env-variables based auth has priority across any other auth methods)

[0.6.1] - 2022-06-22

  • Fix import issues in dbx.api.storage package

[0.6.0] - 2022-06-22

Added

  • Added dev container config for VSCode and GitHub CodeSpaces
  • tests are now parallel (x2 less time spent per each CI pipeline launch)
  • url-strip behaviour for old-format workspace host names (which was unsupported in Mlflow API and caused a lot of hardly explainable errors)

Changed

  • Docs fixed in terms of allowed versions
  • Non-strict path adjustment policy has been deleted from code and docs
  • Dropped support for environment variables in plain JSON/YAML files
  • Refactored code for reading configurations
  • Drop support for ruamel.yaml in favor of standard pyyaml
  • All tests are now based on pytest
  • Full support for env variables in Jinja-based deployment configs
  • Documentation improvements for Jinja-based templates
  • Now package builds are performed with pip by default

Fixed

  • Parsing of requirements.txt has been improved to properly handle comments in requirements files
  • Recognition of --branch-name argument for dbx launch
  • Path resolution for Jinja2 templates

[0.5.0] - 2022-06-01

Added

  • YAML Example for deploying multi-task Python job
  • YAML Example for deploying multi-task Scala job
  • Support including jinja templates from subpaths of the current working directory
  • Add --path and --checkout options to the dbx init
  • Change the format of the python_basic to use pytest
  • Add sync repo and sync dbfs commands for syncing local files to Databricks and watching for changes.

Changed

  • Refactor the configuration code
  • Refactor the JSON-related code

[0.4.1] - 2022-03-01

Fixed

  • Jinja2-based file recognition behaviour

[0.4.0] - 2022-02-28

Added

  • Documentation, examples and support for Jobs API 2.1
  • Support for Jinja2-based templates inside deployment configuration
  • Added new --job argument to deploy command for a single-job deploy and convenience

Fixed

  • Issue with empty paths in non-strict path adjustment logic
  • Issues with --no-package argument for multi-task jobs
  • Issues with named properties propagation for Jobs API 2.1

[0.3.3] - 2022-02-08

Fixed

  • path resolution on win platforms
  • Provided bugfix for non-DBFS based mlflow artifact locations

Added

  • CI pipeline on win platform

[0.3.2] - 2022-01-31

Fixed

  • Provided bugfix for job/task name references in the deployment configuration

[0.3.1] - 2022-01-30

Added

  • Recognition of conf/deployment.yml file from conf directory as a default parameter
  • Remove unnecessary references of conf/deployment.yml in CI pipelines

Changed

  • Upgraded minimal mlflow version to 1.23
  • Upgraded minimal databricks-cli version to 0.16.2
  • Upgraded minimal requirements for Azure Data Factory dependent libraries

Fixed

  • Provided bugfix for emoji-based messages in certain shell environments
  • Provided bugfix for cases when not all jobs are listed due to usage of Jobs API 2.1
  • Provided bugfix for cases when file names are reused multiple times
  • Provided bugfix for cases when policy_name argument needs to be applied on the tasks level
  • Provided bugfix for ADF integration that deleted pipeline-level properties

[0.3.0] - 2022-01-04

Added

  • Add support for named property of the driver instance pool name
  • Add support for built-in templates and project initialization via :code:dbx init

Fixed

  • Provided bugfix for named property resolution in multitask-based jobs

[0.2.2] - 2021-12-03

Changed

  • Update the contribution docs with CLA
  • Update documentation about environment variables

Added

  • Add support for named job properties
  • Add support for spark_jar_task in Azure Data Factory reflector

Fixed

  • Provide bugfix for strict path resolving in the execute command
  • Provide bugfix for Azure Datafactory when using existing_cluster_id

[0.2.1] - 2021-11-04

Changed

  • Update databricks-cli dependency to 0.16.2
  • Improved code coverage

Added

  • Added support for environment variables in deployment files

Fixed

  • Fixed minor bug in exception text
  • Provide a bugfix for execute issue

[0.2.0] - 2021-09-12

Changed

  • Removed pydash from package dependencies, as it is not used. Still need it as a dev-requirement.

Added

  • Added support for multitask jobs.
  • Added more explanations around DATABRICKS_HOST exception during API client initialization
  • Add strict path adjustment policy and FUSE-based path adjustment

[0.1.6] - 2021-08-26

Fixed

  • Fix issue which stripped non-pyspark libraries from a requirements file during deploys.
  • Fix issue which didn't update local package during remote execution.

[0.1.5] - 2021-08-12

Added

Changed

  • Now dbx finds the git branch name from any subdirectory in the repository.
  • Minor alterations in the documentation.
  • Altered the Changelog based on Keep a Changelog
  • Changed(for contributors): Makefile now requires pyenv.
  • Changed(for contributors): Makefile is more self describing and self-sufficient.
    • make clean install will set you up with all that is needed.
    • make help to see all available commands.

[0.1.4]

Fixed

  • Fix issue with execute parameters passing
  • Fix issue with multi-version package upload

[0.1.3]

Added

  • Add explicit exception for artifact location change
  • Add experimental support for fixed properties' propagation from cluster policies

[0.1.2]

Added

  • Added Run Submit API support.

[0.1.1]

Fixed

  • Fixed the issue with pywin32 installation for Azure imports on win platforms.

[0.1.0]

Added

  • Integration with Azure Data Factory.

Fixed

  • Some small internal behaviour fixes.

Changed

  • Changed the behaviour of dbx deploy --write-specs-to-file, to make the structure of specs file compatible with environment structure.

[0.0.14]

Added

  • Added integrated permission management, please refer to documentation for details.

[0.0.13]

Added

  • Added --write-specs-to-file option for dbx deploy command.

[0.0.12]

Fixed

  • HotFix for execute command.

[0.0.11]

Changed

  • Made Internal refactorings after code coverage analysis.

[0.0.10]

Fixed

  • Fixed issue with job spec adjustment.

[0.0.9]

Changed

  • Finalized the CI setup for the project.
  • No code changes were done.
  • Release is required to start correct numeration in pypi.

[0.0.8]

Added

  • Initial public release version.