Azure 数据工厂 - 管道执行顺序中的多个事件

Question

我有 2 个 Blob 文件要复制到 Azure SQL 表。我的管道有两项事件:

{
    "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"
    }
}

据我了解，一旦第一个事件完成，第二个事件就会开始。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OneTime，而不是Scheduled？

Answer 1

为了使事件同步运行(有序)，第一个管道的输出需要成为第二个管道的输入。

{
"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事件“FoodGroupDescriptionsSQLAzureFirst”的输出成为第二个事件中的输入。