import requests

url = "https://{FUSION HOST}/api/spark/jobs/{id}"

headers = {"Authorization": "Basic <encoded-value>"}

response = requests.get(url, headers=headers)

print(response.text)

{
  "state": "running",
  "jobId": "xamafwrdxnkb",
  "jobConfig": {
    "type": "parallel-bulk-loader",
    "id": "index_synthetic_data",
    "format": "json",
    "path": "gs://lucidworks-example-data/hardware/1000/1000_synthetic.json",
    "outputCollection": "Synthetic_dataset_test",
    "outputIndexPipeline": "Synthetic_dataset_test",
    "clearDatasource": false,
    "defineFieldsUsingInputSchema": true,
    "atomicUpdates": false,
    "cacheAfterRead": false,
    "continueAfterFailure": false,
    "updates": [
      {
        "userId": "docs",
        "timestamp": "2025-08-14T20:50:09.847634657Z"
      }
    ]
  },
  "hostname": "10.64.19.46",
  "result": {
    "jobConfigId": "index_synthetic_data",
    "jobRunId": "xamafwrdxnkb",
    "podId": "driver-index-synthetic-data-xama-xamafwrdxnkb"
  }
}