chore(deps-dev): update databricks-sdk requirement from <0.118.0 to <0.119.0

[dependabot]

Updates the requirements on databricks-sdk to permit the latest version.

Changelog

Sourced from databricks-sdk's changelog.

Release v0.118.0 (2026-06-18)

API Changes

• Add create_data_api(), delete_data_api(), get_data_api() and update_data_api() methods for w.postgres workspace-level service.
• Add capacity_reservation_group field for databricks.sdk.service.compute.AzureAttributes.
• Add serverless_compute_id field for databricks.sdk.service.pipelines.ClonePipelineRequest.
• Add serverless_compute_id field for databricks.sdk.service.pipelines.CreatePipeline.
• Add serverless_compute_id field for databricks.sdk.service.pipelines.EditPipeline.
• Add serverless_compute_id field for databricks.sdk.service.pipelines.PipelineSpec.
• Add endpoint_id field for databricks.sdk.service.vectorsearch.MiniVectorIndex.
• Add endpoint_id field for databricks.sdk.service.vectorsearch.VectorIndex.
• Add dynamics365 enum value for databricks.sdk.service.catalog.ConnectionType.

Release v0.117.0 (2026-06-11)

API Changes

• Add type_overrides field for databricks.sdk.service.database.SyncedTableSpec.
• Add type_overrides field for databricks.sdk.service.postgres.SyncedTableSyncedTableSpec.
• Change resource_id field for databricks.sdk.service.bundledeployments.Operation to no longer be required.
• [Breaking] Change resource_id field for databricks.sdk.service.bundledeployments.Operation to no longer be required.

Bug Fixes

• Cache tokens minted by DatabricksOidcTokenSource (Workload Identity Federation / account-wide token federation). Previously a fresh /oidc/v1/token exchange was performed on every authenticated API call, adding latency, amplifying transient federation-policy errors, and hitting OIDC token-endpoint rate limits. The token source now reuses the cached token until it is stale or expired, fetching a fresh ID token on each refresh to support rotation.
• Make WorkspaceClient.dbutils lazy (functools.cached_property). The constructor no longer imports databricks.sdk.runtime eagerly, so on Spark Connect (shared-access-mode) clusters, consumers that never read .dbutils — such as dbt-databricks Python models — no longer crash with CONTEXT_UNAVAILABLE_FOR_REMOTE_CLIENT during client construction.
• Fall back to the remote runtime implementation when the legacy user namespace cannot be materialized. On Spark Connect runtimes (e.g. shared-access-mode clusters), importing databricks.sdk.runtime — which happens when constructing a WorkspaceClient on such a cluster — tried to build a legacy SparkContext and raised CONTEXT_UNAVAILABLE_FOR_REMOTE_CLIENT at import time. It now logs a warning and falls back to the Spark Connect-compatible remote implementation instead of crashing.

Internal Changes

• Declare urllib3 as an explicit dependency. The SDK imports it directly; previously it was only available transitively through requests. No resolution change for users.

Release v0.116.0 (2026-06-10)

... (truncated)

Commits

• aef495d Update SDK to d1470710f514d8f73570685ee567472fe0cd3807 (#1477)
• 4314a9b Add sync-label check: PRs need the maintainer-applied 'sync' label (#1473)
• 8de8d38 Release databricks-sdk-py v0.117.0 (#1472)
• 8d80062 Fall back to remote runtime on Spark Connect when the legacy namespace is una...
• d01f89a Make WorkspaceClient.dbutils lazy via cached_property (#1470)
• c05cc6f Cache tokens minted by DatabricksOidcTokenSource (#1460)
• 528878e [Release] Release v0.116.0
• 1399208 Update SDK API to 55d22d7e7879e6be815cfe8e3e4cf7130f822c94 (#1471)
• 9744f91 Update SDK API to 805d88b51faa37301c51d1848da2db5a2e6ed921 (#1466)
• c897178 [Release] Release v0.115.0
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