mirror of https://github.com/databricks/cli.git
56ed9bebf3
## Changes
Added support for creating all-purpose clusters
Example of configuration
```
bundle:
name: clusters
resources:
clusters:
test_cluster:
cluster_name: "Test Cluster"
num_workers: 2
node_type_id: "i3.xlarge"
autoscale:
min_workers: 2
max_workers: 7
spark_version: "13.3.x-scala2.12"
spark_conf:
"spark.executor.memory": "2g"
jobs:
test_job:
name: "Test Job"
tasks:
- task_key: test_task
existing_cluster_id: ${resources.clusters.test_cluster.id}
notebook_task:
notebook_path: "./src/test.py"
targets:
development:
mode: development
compute_id: ${resources.clusters.test_cluster.id}
```
## Tests
Added unit, config and E2E tests
|
||
|---|---|---|
| .. | ||
| basic | ||
| clusters | ||
| deploy_then_remove_resources | ||
| empty_bundle | ||
| job_metadata | ||
| python_wheel_task | ||
| python_wheel_task_with_environments | ||
| recreate_pipeline | ||
| spark_jar_task | ||
| uc_schema | ||
| with_includes | ||