이전 버전입니다. 현재 최신 버전은 1.22.1입니다. DatabricksCLI 1.22.1 · 출시일:
설치 파일 1.19.0
| 아키텍처 | 형식 | 설치 범위 | 파일 크기 | 다운로드 | SHA256 |
|---|---|---|---|---|---|
| 64비트 | ZIP → 포터블 | — | — | github.com | VirusTotal |
| ARM64 | ZIP → 포터블 | — | — | github.com | VirusTotal |
링크와 SHA256은 Windows 패키지 관리자 커뮤니티 매니페스트에서 가져왔습니다. 실행하기 전에 다운로드한 파일의 해시를 비교해 보십시오.
릴리스 노트
CLI
- Honor CLAUDE_CONFIG_DIR in aitools commands. (#6838)
- Added --ttl and --no-expiry flags to databricks postgres create-branch so a branch's expiration can be set without hand-writing a --json spec. --ttl accepts the REST API duration form (604800s), a Go duration (168h), or day/week units (7d, 3w); --no-expiry creates a branch that never expires. One of --ttl, --no-expiry, or a spec expiration in --json is required. (#6313)
- databricks ssh connect serverless sessions now provide Claude Code and Codex configured with Unity Gateway out of the box. (#6885)
AI Runtime
- Add databricks air images push (Preview) to configure Docker authentication and push container images to Databricks Artifact Registry. (#6869)
- air run now grants the configured permissions on the MLflow experiment as well as the job. (#6870)
Bundles
- Add libraries field to clusters. (#6831)
- Error out when a configured workspace_id does not match the connected workspace, instead of silently using it in resource URLs emitted by bundle summary. (#6754)
- Fix spurious recreation of Lakebase (Postgres) branches, roles, and catalogs when the referenced project is updated in place: an in-place project change (e.g. display_name) no longer forces a delete + create of resources that reference the project's or branch's name. (#6865)
- Direct engine now detects and applies an explicitly configured integer zero (e.g. gcp_attributes.local_ssd_count: 0) added to a resource first deployed without the field. (#6867)
- Migrate existing Terraform deployment state to the direct engine before deploying (previously done after a Terraform deploy), so the deploy runs on the direct engine. (#6749)
- The postgres_snapshot_schedules resource (introduced in v1.16.0) is now marked Beta and is no longer available in PyDABs, matching the other postgres_* resources; configure it in YAML instead. (#6887)
