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DatabricksCLI 1.19.0 lejupielādēt

Databricks Command Line Interface

Databricks Termināļi un CLI rīki #50 Termināļi un CLI rīki
Šī ir vecāka versija. Jaunākā versija ir 1.22.1. DatabricksCLI 1.22.1 · Izlaista:

Instalēšanas faili 1.19.0

ArhitektūraTipsDarbības jomaFaila lielumsLejupielādeSHA256
64 bitu ZIP → Portatīvā — — github.com VirusTotal
ARM64 ZIP → Portatīvā — — github.com VirusTotal

Saite un SHA256 ņemti no Windows Package Manager kopienas manifesta. Pirms palaišanas salīdziniet lejupielādētā faila kontrolsummu.

Izmaiņu saraksts

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)

https://github.com/databricks/cli/releases/tag/v1.19.0

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