Azure数据工厂-管道执行顺序中的多个活动

我有2个blob文件要复制到Azure SQL表。我的管道包括两项活动：

{
    "name": "NutrientDataBlobToAzureSqlPipeline",
    "properties": {
        "description": "Copy nutrient data from Azure BLOB to Azure SQL",
        "activities": [
            {
                "type": "Copy",
                "typeProperties": {
                    "source": {
                        "type": "BlobSource"
                    },
                    "sink": {
                        "type": "SqlSink",
                        "writeBatchSize": 10000,
                        "writeBatchTimeout": "60.00:00:00"
                    }
                },
                "inputs": [
                    {
                        "name": "FoodGroupDescriptionsAzureBlob"
                    }
                ],
                "outputs": [
                    {
                        "name": "FoodGroupDescriptionsSQLAzure"
                    }
                ],
                "policy": {
                    "timeout": "01:00:00",
                    "concurrency": 1,
                    "executionPriorityOrder": "NewestFirst"
                },
                "scheduler": {
                    "frequency": "Minute",
                    "interval": 15
                },
                "name": "FoodGroupDescriptions",
                "description": "#1 Bulk Import FoodGroupDescriptions"
            },
            {
                "type": "Copy",
                "typeProperties": {
                    "source": {
                        "type": "BlobSource"
                    },
                    "sink": {
                        "type": "SqlSink",
                        "writeBatchSize": 10000,
                        "writeBatchTimeout": "60.00:00:00"
                    }
                },
                "inputs": [
                    {
                        "name": "FoodDescriptionsAzureBlob"
                    }
                ],
                "outputs": [
                    {
                        "name": "FoodDescriptionsSQLAzure"
                    }
                ],
                "policy": {
                    "timeout": "01:00:00",
                    "concurrency": 1,
                    "executionPriorityOrder": "NewestFirst"
                },
                "scheduler": {
                    "frequency": "Minute",
                    "interval": 15
                },
                "name": "FoodDescriptions",
                "description": "#2 Bulk Import FoodDescriptions"
            }
        ],
        "start": "2015-07-14T00:00:00Z",
        "end": "2015-07-14T00:00:00Z",
        "isPaused": false,
        "hubName": "gymappdatafactory_hub",
        "pipelineMode": "Scheduled"
    }
}

---

据我所知，一旦第一项活动完成，第二项活动就开始了。然后如何执行此管道，而不是转到数据集切片并手动运行？另外pipelineMode如何设置为仅一次，而不是计划？

为了使活动同步（有序）运行，第一个管道的输出需要是第二个管道的输入

{
"name": "NutrientDataBlobToAzureSqlPipeline",
"properties": {
    "description": "Copy nutrient data from Azure BLOB to Azure SQL",
    "activities": [
        {
            "type": "Copy",
            "typeProperties": {
                "source": {
                    "type": "BlobSource"
                },
                "sink": {
                    "type": "SqlSink",
                    "writeBatchSize": 10000,
                    "writeBatchTimeout": "60.00:00:00"
                }
            },
            "inputs": [
                {
                    "name": "FoodGroupDescriptionsAzureBlob"
                }
            ],
            "outputs": [
                {
                    "name": "FoodGroupDescriptionsSQLAzureFirst"
                }
            ],
            "policy": {
                "timeout": "01:00:00",
                "concurrency": 1,
                "executionPriorityOrder": "NewestFirst"
            },
            "scheduler": {
                "frequency": "Minute",
                "interval": 15
            },
            "name": "FoodGroupDescriptions",
            "description": "#1 Bulk Import FoodGroupDescriptions"
        },
        {
            "type": "Copy",
            "typeProperties": {
                "source": {
                    "type": "BlobSource"
                },
                "sink": {
                    "type": "SqlSink",
                    "writeBatchSize": 10000,
                    "writeBatchTimeout": "60.00:00:00"
                }
            },
            "inputs": [
                {
                    "name": "FoodGroupDescriptionsSQLAzureFirst",
                    "name": "FoodDescriptionsAzureBlob"
                }
            ],
            "outputs": [
                {
                    "name": "FoodDescriptionsSQLAzureSecond"
                }
            ],
            "policy": {
                "timeout": "01:00:00",
                "concurrency": 1,
                "executionPriorityOrder": "NewestFirst"
            },
            "scheduler": {
                "frequency": "Minute",
                "interval": 15
            },
            "name": "FoodDescriptions",
            "description": "#2 Bulk Import FoodDescriptions"
        }
    ],
    "start": "2015-07-14T00:00:00Z",
    "end": "2015-07-14T00:00:00Z",
    "isPaused": false,
    "hubName": "gymappdatafactory_hub",
    "pipelineMode": "Scheduled"
}

---

如果您注意到第一个活动的输出“FoodGroupDescriptionsSQLAzureFirst”成为第二个活动的输入。

如果我理解正确，您希望在不手动执行数据集切片的情况下执行这两个活动

只需将数据集定义为外部数据集，就可以做到这一点

例如

{
    "name": "FoodGroupDescriptionsAzureBlob",
    "properties": {
        "type": "AzureBlob",
        "linkedServiceName": "AzureBlobStore",
        "typeProperties": {
            "folderPath": "mycontainer/folder",
            "format": {
                "type": "TextFormat",
                "rowDelimiter": "\n",
                "columnDelimiter": "|"
            }
        },
        "external": true,
        "availability": {
            "frequency": "Day",
            "interval": 1
        }
    }
}

请注意，属性外部标记为true。这将自动移动处于就绪状态的数据集。 遗憾的是，没有人能够将管道标记为运行一次。运行管道后，您可以选择将isPaused属性设置为true，以防止进一步执行

注意：外部属性只能针对输入数据集设置为true。 所有具有标记为外部的输入数据集的活动将并行执行