Azure Data Factory · Example Payload

Microsoft Azure Data Factory Dataflowdebugsession_Adddataflow

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Microsoft Azure Data Factory Dataflowdebugsession_Adddataflow is an example object payload from Azure Data Factory, with 4 top-level fields. It illustrates the shape of data this provider's APIs accept or return.

Top-level fields

parametersresponsesoperationIdtitle

Example Payload

{
  "parameters": {
    "api-version": "2018-06-01",
    "factoryName": "exampleFactoryName",
    "resourceGroupName": "exampleResourceGroup",
    "subscriptionId": "12345678-1234-1234-1234-123456789012",
    "request": {
      "properties": {
        "dataFlow": {
          "name": "dataflow1",
          "properties": {
            "type": "MappingDataFlow",
            "typeProperties": {
              "script": "\n\nsource(output(\n\t\tColumn_1 as string\n\t),\n\tallowSchemaDrift: true,\n\tvalidateSchema: false) ~> source1",
              "sinks": [],
              "sources": [
                {
                  "name": "source1",
                  "dataset": {
                    "type": "DatasetReference",
                    "referenceName": "DelimitedText2"
                  }
                }
              ],
              "transformations": []
            }
          }
        },
        "datasets": [
          {
            "name": "dataset1",
            "properties": {
              "type": "DelimitedText",
              "schema": [
                {
                  "type": "String"
                }
              ],
              "annotations": [],
              "linkedServiceName": {
                "type": "LinkedServiceReference",
                "referenceName": "linkedService5"
              },
              "typeProperties": {
                "columnDelimiter": ",",
                "escapeChar": "\\",
                "firstRowAsHeader": true,
                "location": {
                  "type": "AzureBlobStorageLocation",
                  "container": "dataflow-sample-data",
                  "fileName": "Ansiencoding.csv"
                },
                "quoteChar": "\""
              }
            }
          }
        ],
        "debugSettings": {
          "datasetParameters": {
            "Movies": {
              "path": "abc"
            },
            "Output": {
              "time": "def"
            }
          },
          "parameters": {
            "sourcePath": "Toy"
          },
          "sourceSettings": [
            {
              "rowLimit": 1000,
              "sourceName": "source1"
            },
            {
              "rowLimit": 222,
              "sourceName": "source2"
            }
          ]
        },
        "linkedServices": [
          {
            "name": "linkedService1",
            "properties": {
              "type": "AzureBlobStorage",
              "annotations": [],
              "typeProperties": {
                "connectionString": "DefaultEndpointsProtocol=https;AccountName=<storageName>;EndpointSuffix=core.windows.net;",
                "encryptedCredential": "<credential>"
              }
            }
          }
        ],
        "sessionId": "f06ed247-9d07-49b2-b05e-2cb4a2fc871e"
      }
    }
  },
  "responses": {
    "200": {
      "body": {
        "jobVersion": "e5328ee7-c524-4207-8ba4-b709010db33d"
      },
      "headers": {
        "Date": "Sat, 16 Jun 2018 00:40:01 GMT",
        "X-Content-Type-Options": "nosniff",
        "x-ms-correlation-request-id": "2f955e10-c6df-45a7-97d4-81acdb8540cd",
        "x-ms-ratelimit-remaining-subscription-reads": "14989",
        "x-ms-request-id": "2f955e10-c6df-45a7-97d4-81acdb8540cd"
      }
    }
  },
  "operationId": "DataFlowDebugSession_AddDataFlow",
  "title": "DataFlowDebugSession_AddDataFlow"
}

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