【发布时间】：2020-09-09 16:49:02
【问题描述】：
我正在使用 Excel Powerquery（M 语言）访问 SNOMED CT 服务器的 RESTful API。服务器返回的 JSON 是一个深度嵌套的结构。
下面的例子被过滤显示单个项目，通常项目数组将包含多个结果。
例子-
{
"items": [
{
"id": "258674000",
"released": true,
"active": true,
"effectiveTime": "20020131",
"moduleId": "900000000000207008",
"iconId": "362981000",
"definitionStatus": {
"id": "900000000000074008"
},
"subclassDefinitionStatus": "NON_DISJOINT_SUBCLASSES",
"fsn": {
"id": "3508354011",
"term": "Micrometer (qualifier value)",
"concept": {
"id": "258674000"
},
"type": {
"id": "900000000000003001"
},
"typeId": "900000000000003001",
"conceptId": "258674000",
"acceptability": {
"900000000000509007": "PREFERRED",
"900000000000508004": "PREFERRED"
}
},
"pt": {
"id": "384891018",
"term": "um",
"concept": {
"id": "258674000"
},
"type": {
"id": "900000000000013009"
},
"typeId": "900000000000013009",
"conceptId": "258674000",
"acceptability": {
"900000000000509007": "PREFERRED",
"900000000000508004": "PREFERRED"
}
},
"descriptions": {
"items": [
{
"id": "2609609012",
"released": true,
"active": false,
"effectiveTime": "20170731",
"moduleId": "900000000000207008",
"iconId": "900000000000003001",
"term": "micrometer (qualifier value)",
"semanticTag": "qualifier value",
"languageCode": "en",
"caseSignificance": {
"id": "900000000000448009"
},
"concept": {
"id": "258674000"
},
"type": {
"id": "900000000000003001"
},
"typeId": "900000000000003001",
"conceptId": "258674000",
"caseSignificanceId": "900000000000448009",
"acceptability": {}
},
{
"id": "384891018",
"released": true,
"active": true,
"effectiveTime": "20020131",
"moduleId": "900000000000207008",
"iconId": "900000000000013009",
"term": "um",
"semanticTag": "",
"languageCode": "en",
"caseSignificance": {
"id": "900000000000017005"
},
"concept": {
"id": "258674000"
},
"type": {
"id": "900000000000013009"
},
"typeId": "900000000000013009",
"conceptId": "258674000",
"caseSignificanceId": "900000000000017005",
"acceptability": {
"900000000000509007": "PREFERRED",
"900000000000508004": "PREFERRED"
}
},
{
"id": "650119013",
"released": true,
"active": false,
"effectiveTime": "20060731",
"moduleId": "900000000000207008",
"iconId": "900000000000003001",
"term": "um (qualifier value)",
"semanticTag": "qualifier value",
"languageCode": "en",
"caseSignificance": {
"id": "900000000000017005"
},
"concept": {
"id": "258674000"
},
"type": {
"id": "900000000000003001"
},
"typeId": "900000000000003001",
"conceptId": "258674000",
"caseSignificanceId": "900000000000017005",
"acceptability": {}
},
{
"id": "384888018",
"released": true,
"active": false,
"effectiveTime": "20170731",
"moduleId": "900000000000207008",
"iconId": "900000000000013009",
"term": "micrometer",
"semanticTag": "",
"languageCode": "en",
"caseSignificance": {
"id": "900000000000448009"
},
"concept": {
"id": "258674000"
},
"type": {
"id": "900000000000013009"
},
"typeId": "900000000000013009",
"conceptId": "258674000",
"caseSignificanceId": "900000000000448009",
"acceptability": {}
},
{
"id": "3508354011",
"released": true,
"active": true,
"effectiveTime": "20170731",
"moduleId": "900000000000207008",
"iconId": "900000000000003001",
"term": "Micrometer (qualifier value)",
"semanticTag": "qualifier value",
"languageCode": "en",
"caseSignificance": {
"id": "900000000000448009"
},
"concept": {
"id": "258674000"
},
"type": {
"id": "900000000000003001"
},
"typeId": "900000000000003001",
"conceptId": "258674000",
"caseSignificanceId": "900000000000448009",
"acceptability": {
"900000000000509007": "PREFERRED",
"900000000000508004": "PREFERRED"
}
},
{
"id": "3508411019",
"released": true,
"active": true,
"effectiveTime": "20170731",
"moduleId": "900000000000207008",
"iconId": "900000000000013009",
"term": "Micrometer",
"semanticTag": "",
"languageCode": "en",
"caseSignificance": {
"id": "900000000000448009"
},
"concept": {
"id": "258674000"
},
"type": {
"id": "900000000000013009"
},
"typeId": "900000000000013009",
"conceptId": "258674000",
"caseSignificanceId": "900000000000448009",
"acceptability": {
"900000000000509007": "ACCEPTABLE"
}
},
{
"id": "384889014",
"released": true,
"active": true,
"effectiveTime": "20020131",
"moduleId": "900000000000207008",
"iconId": "900000000000013009",
"term": "micrometre",
"semanticTag": "",
"languageCode": "en",
"caseSignificance": {
"id": "900000000000017005"
},
"concept": {
"id": "258674000"
},
"type": {
"id": "900000000000013009"
},
"typeId": "900000000000013009",
"conceptId": "258674000",
"caseSignificanceId": "900000000000017005",
"acceptability": {
"900000000000508004": "ACCEPTABLE"
}
},
{
"id": "384890017",
"released": true,
"active": true,
"effectiveTime": "20020131",
"moduleId": "900000000000207008",
"iconId": "900000000000013009",
"term": "micron",
"semanticTag": "",
"languageCode": "en",
"caseSignificance": {
"id": "900000000000017005"
},
"concept": {
"id": "258674000"
},
"type": {
"id": "900000000000013009"
},
"typeId": "900000000000013009",
"conceptId": "258674000",
"caseSignificanceId": "900000000000017005",
"acceptability": {
"900000000000509007": "ACCEPTABLE",
"900000000000508004": "ACCEPTABLE"
}
}
],
"limit": 8,
"total": 8
},
"ancestorIds": [
"-1",
"138875005",
"258667005",
"362981000",
"767524001"
],
"parentIds": [
"258668000"
],
"statedAncestorIds": [
"-1",
"138875005",
"258667005",
"362981000",
"767524001"
],
"statedParentIds": [
"258668000"
],
"definitionStatusId": "900000000000074008"
}
],
"searchAfter": "AoE_BTAxMzRlZWNhLTYxODEtNDFjYi1hNmJlLWQzN2IwMGFlYzEyNA==",
"limit": 50,
"total": 1
}
JSON 中的顶级对象表示 M 语言术语中的记录列表。使用自定义函数 fromServer(endpoint) 查询服务器，我能够使用扩展 JSON 结果-
let
concepts = Table.FromRecords(fromServer("API_ENDPOINT")[items]),
in
concepts
这给了我一张概念表，每行一个。但是我被困在下一点。
每个概念都有一组可能的同义词。这些是 SNOMED 术语中的描述。上表中descriptions列是Records列，其中每条Record都有一个字段items。 items是一个记录列表，记录包含要访问的键/值对。我想要做的是展开descriptions 列，按名称展开选定的值，或者展开底层记录中的所有值。
所以，这类似于Table.ExpandTableColumn()，其中要扩展的值来自形状列-
descriptions (the column name)
Records
items: List
Records
Keys : Values
我必须承认我不知道如何开始，在表格字段中进入嵌套结构化值，然后累积结果。任何指针将不胜感激。
【问题讨论】：
标签： json powerquery m