我正在尝试使用Azure Data Factory从FHIR服务器读取数据，并将结果转换为Azure Blob存储中的换行符分隔的JSON（ndjson）文件。具体来说，如果您查询FHIR服务器，您可能会得到以下内容：
{
"resourceType": "Bundle",
"id": "som-id",
"type": "searchset",
"link": [
{
"relation": "next",
"url": "https://fhirserver/?ct=token"
},
{
"relation": "self",
"url": "https://fhirserver/"
}
],
"entry": [
{
"fullUrl": "https://fhirserver/Organization/1234",
"resource": {
"resourceType": "Organization",
"id": "1234",
// More fields
},
{
"fullUrl": "https://fhirserver/Organization/456",
"resource": {
"resourceType": "Organization",
"id": "456",
// More fields
},
// More resources
]
}
基本上是一堆资源。我想将其转换为换行符（又名ndjson）文件，其中每一行只是资源的json：
{"resourceType": "Organization", "id": "1234", // More fields }
{"resourceType": "Organization", "id": "456", // More fields }
// More lines with resources
我能够设置REST连接器，它可以查询FHIR服务器（包括分页），但无论我尝试什么，我似乎无法生成我想要的输出。我设置了Azure Blob存储数据集：
{
"name": "AzureBlob1",
"properties": {
"linkedServiceName": {
"referenceName": "AzureBlobStorage1",
"type": "LinkedServiceReference"
},
"type": "AzureBlob",
"typeProperties": {
"format": {
"type": "JsonFormat",
"filePattern": "setOfObjects"
},
"fileName": "myout.json",
"folderPath": "outfhirfromadf"
}
},
"type": "Microsoft.DataFactory/factories/datasets"
}
并配置复制活动：
{
"name": "pipeline1",
"properties": {
"activities": [
{
"name": "Copy Data1",
"type": "Copy",
"policy": {
"timeout": "7.00:00:00",
"retry": 0,
"retryIntervalInSeconds": 30,
"secureOutput": false,
"secureInput": false
},
"typeProperties": {
"source": {
"type": "RestSource",
"httpRequestTimeout": "00:01:40",
"requestInterval": "00.00:00:00.010"
},
"sink": {
"type": "BlobSink"
},
"enableStaging": false,
"translator": {
"type": "TabularTranslator",
"schemaMapping": {
"resource": "resource"
},
"collectionReference": "$.entry"
}
},
"inputs": [
{
"referenceName": "FHIRSource",
"type": "DatasetReference"
}
],
"outputs": [
{
"referenceName": "AzureBlob1",
"type": "DatasetReference"
}
]
}
]
},
"type": "Microsoft.DataFactory/factories/pipelines"
}
但最后（尽管配置了模式映射），blob中的最终结果始终只是从服务器返回的原始包。如果我将输出blob配置为逗号分隔文本，我可以提取字段并创建展平的表格视图，但这不是我想要的。
任何建议将不胜感激。
正如评论中简要讨论的那样，Copy Activity除了映射数据外没有提供太多功能。如文档中所述，Copy activity执行以下操作：
- 从源数据存储中读取数据。
- 执行序列化/反序列化，压缩/解压缩，列映射等。它根据输入数据集，输出数据集和复制活动的配置执行这些操作。
- 将数据写入接收器/目标数据存储。
除了有效地复制周围的东西之外，它看起来并不像Copy Activity做任何其他事情。
我发现工作的是使用Databrick。
以下是步骤：
该脚本将如下：
您可以从那里测试脚本，一旦准备就绪，您可以返回管道并创建一个Notebook activity，它将指向包含脚本的笔记本。
我在Scala中编码很困难但是值得:)
所以我找到了一个解决方案。如果我执行原始步骤转换将捆绑包简单地转储到JSON文件中，然后从JSON文件转换到我假装为另一个blob的文本文件，我可以创建njson文件。
基本上，定义另一个blob数据集：
{
"name": "AzureBlob2",
"properties": {
"linkedServiceName": {
"referenceName": "AzureBlobStorage1",
"type": "LinkedServiceReference"
},
"type": "AzureBlob",
"structure": [
{
"name": "Prop_0",
"type": "String"
}
],
"typeProperties": {
"format": {
"type": "TextFormat",
"columnDelimiter": ",",
"rowDelimiter": "",
"quoteChar": "",
"nullValue": "\\N",
"encodingName": null,
"treatEmptyAsNull": true,
"skipLineCount": 0,
"firstRowAsHeader": false
},
"fileName": "myout.json",
"folderPath": "adfjsonout2"
}
},
"type": "Microsoft.DataFactory/factories/datasets"
}
请注意，这一个TextFormat并且还注意到quoteChar是空白的。如果我然后添加另一个复制活动：
{
"name": "pipeline1",
"properties": {
"activities": [
{
"name": "Copy Data1",
"type": "Copy",
"policy": {
"timeout": "7.00:00:00",
"retry": 0,
"retryIntervalInSeconds": 30,
"secureOutput": false,
"secureInput": false
},
"typeProperties": {
"source": {
"type": "RestSource",
"httpRequestTimeout": "00:01:40",
"requestInterval": "00.00:00:00.010"
},
"sink": {
"type": "BlobSink"
},
"enableStaging": false,
"translator": {
"type": "TabularTranslator",
"schemaMapping": {
"['resource']": "resource"
},
"collectionReference": "$.entry"
}
},
"inputs": [
{
"referenceName": "FHIRSource",
"type": "DatasetReference"
}
],
"outputs": [
{
"referenceName": "AzureBlob1",
"type": "DatasetReference"
}
]
},
{
"name": "Copy Data2",
"type": "Copy",
"dependsOn": [
{
"activity": "Copy Data1",
"dependencyConditions": [
"Succeeded"
]
}
],
"policy": {
"timeout": "7.00:00:00",
"retry": 0,
"retryIntervalInSeconds": 30,
"secureOutput": false,
"secureInput": false
},
"typeProperties": {
"source": {
"type": "BlobSource",
"recursive": true
},
"sink": {
"type": "BlobSink"
},
"enableStaging": false,
"translator": {
"type": "TabularTranslator",
"columnMappings": {
"resource": "Prop_0"
}
}
},
"inputs": [
{
"referenceName": "AzureBlob1",
"type": "DatasetReference"
}
],
"outputs": [
{
"referenceName": "AzureBlob2",
"type": "DatasetReference"
}
]
}
]
},
"type": "Microsoft.DataFactory/factories/pipelines"
}
一切顺利。我认为这不是理想的，因为我现在在blob中有两个数据副本，但我可以轻松删除一个。
如果有人有一步到位的解决方案，我仍然希望听到它。