v0.117.0

## 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.