Это старая версия. Последняя версия — 1.22.1. DatabricksCLI 1.22.1 · Дата выхода:
Файлы установки 0.248.0
| Архитектура | Тип | Для кого | Размер файла | Скачать | SHA256 |
|---|---|---|---|---|---|
| 64-бит | ZIP → Портативная | — | — | github.com | VirusTotal |
Ссылка и SHA256 взяты из манифеста сообщества Windows Package Manager. Перед запуском сравните хеш скачанного файла.
Список изменений
Release v0.248.0
Notable Changes
- Python for Databricks Asset Bundles is now in Public Preview. This feature extends bundles so that you can define jobs and pipelines as Python code, dynamically create jobs and pipelines using metadata, and modify jobs and pipelines defined in YAML or Python during bundle deployment. For more information and to get started see Configuration in Python.
- Fixed a regression with pipeline library globs introduced in 0.247.0 (#2723). The issue caused glob patterns to fail when using paths relative to a directory that is not the bundle root.
Dependency updates
- Upgraded Go SDK to 0.63.0 (#2716)
- Upgraded TF provider to 1.73.0 (#2728)
CLI
- Added an error when invalid subcommand is provided for CLI commands (#2655)
- Added dry-run flag support to sync command (#2657)
Bundles
- Do not use app config section in test templates and generated app configuration (#2599)
- Do not exit early when checking incompatible tasks for specified DBR (#2692)
- Removed include/exclude flags support from bundle sync command (#2718)
- Do not clean up Python artifacts dist and build folder in "bundle validate", do it in "bundle deploy". This reverts the behaviour introduced in 0.245.0 (#2722)
API Changes
- Added enable-export-notebook, enable-notebook-table-clipboard and enable-results-downloading workspace-level commands.
- Removed unused timeout and no-wait flags for clusters and pipelines
