Exemple #1
0
@click.command(
    context_settings=CONTEXT_SETTINGS,
    short_help='Deploys a delta pipeline according to the pipeline specification'
)
@click.argument('spec_arg', default=None, required=False)
@click.option('--spec',
              default=None,
              type=PipelineSpecClickType(),
              help=PipelineSpecClickType.help)
@click.option('--allow-duplicate-names',
              is_flag=True,
              help="Skip duplicate name check while deploying pipeline")
@click.option('--pipeline-id',
              default=None,
              type=PipelineIdClickType(),
              help=PipelineIdClickType.help)
@debug_option
@profile_option
@pipelines_exception_eater
@provide_api_client
def deploy_cli(api_client, spec_arg, spec, allow_duplicate_names, pipeline_id):
    """
    Deploys a delta pipeline according to the pipeline specification. The pipeline spec is a
    specification that explains how to run a Delta Pipeline on Databricks. All local libraries
    referenced in the spec are uploaded to DBFS.

    If the pipeline spec contains an "id" field, or if a pipeline id is specified directly
    (using the  --pipeline-id argument), attempts to update an existing pipeline
    with that ID. If it does not, creates a new pipeline and logs the id of the new pipeline
    to STDOUT. Note that if an id is both specified in the spec and passed via --pipeline-id,
Exemple #2
0
try:
    json_parse_exception = json.decoder.JSONDecodeError
except AttributeError:  # Python 2
    json_parse_exception = ValueError

PIPELINE_ID_PERMITTED_CHARACTERS = set(string.ascii_letters + string.digits + '-_')


@click.command(context_settings=CONTEXT_SETTINGS,
               short_help='Deploys a delta pipeline according to the pipeline specification')
@click.argument('spec_arg', default=None, required=False)
@click.option('--spec', default=None, type=PipelineSpecClickType(), help=PipelineSpecClickType.help)
@click.option('--allow-duplicate-names', is_flag=True,
              help="Skip duplicate name check while deploying pipeline")
@click.option('--pipeline-id', default=None, type=PipelineIdClickType(),
              help=PipelineIdClickType.help)
@debug_option
@profile_option
@pipelines_exception_eater
@provide_api_client
def deploy_cli(api_client, spec_arg, spec, allow_duplicate_names, pipeline_id):
    """
    Deploys a delta pipeline according to the pipeline specification. The pipeline spec is a
    specification that explains how to run a Delta Pipeline on Databricks. All local libraries
    referenced in the spec are uploaded to DBFS.

    If the pipeline spec contains an "id" field, or if a pipeline id is specified directly
    (using the  --pipeline-id argument), attempts to update an existing pipeline
    with that ID. If it does not, creates a new pipeline and logs the id of the new pipeline
    to STDOUT. Note that if an id is both specified in the spec and passed via --pipeline-id,