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版本：v2.4.x

list_import_jobs()

This operation lists all bulk-import jobs of a specific cluster.

Request syntax​

Python
list_import_jobs(
    url: str,
    collection_name: str
) -> requests.Response

PARAMETERS:

  • url (string) -

    [REQUIRED]

    The URI of your Milvus instance.

  • collection_name (string) -

    The name of a collection.

RETURN TYPE:

dict

RETURNS:

  • Response syntax

    Python
    # {
    #     "code": 0,
    #     "data": {
    #         "records": [
    #             {
    #                 "collectionName": "quick_setup",
    #                 "jobId": "453240863839750922",
    #                 "progress": 100,
    #                 "state": "Completed"
    #             }
    #         ]
    #     }
    # }

  • Response structure

    • records (list) -

      The list of import jobs.

      • collectionName (string) -

        The name of the target collection of this bulk-import job.

      • jobId (string) -

        The ID of this bulk-import job.

      • progress (string) -

        The progress of the job.

      • state (string) -

        The state of this bulk-import job. Possible values are as follows:

        • Pending: The tasks are awaiting scheduling and execution;

        • Importing: The tasks are currently being executed;

        • Completed: The tasks have been successfully completed;

        • Failed: The tasks encountered a failure.

EXCEPTIONS:

None

Examples​

Python
from pymilvus.bulk_writer import list_import_jobs
import json

url = f"http://127.0.0.1:19530"

# List bulk-insert jobs
resp = list_import_jobs(
    url=url,
    collection_name="quick_setup",
)

print(json.dumps(resp.json(), indent=4, sort_keys=True))
# {
#     "code": 0,
#     "data": {
#         "records": [
#             {
#                 "collectionName": "quick_setup",
#                 "jobId": "453240863839750922",
#                 "progress": 100,
#                 "state": "Completed"
#             }
#         ]
#     }
# }