数组的 TDE 标量类型

Question

我正在尝试将 JSON 数组对象作为 TDE 中的列重新运行。标量类型应该是什么？

我正在使用 MarkLogic 10.0-1。我的 JSON 文档处于嵌套结构中，我想使用 TDE 公开行视图，其中包含一个数组对象的字段。我尝试将 scalarType 用作字符串，但出现 tde.nodeDataExtract 错误。有办法克服这个问题吗？

下面给出了示例文档和模板

    var doc1 = xdmp.toJSON(
      {
        "customer":{
          "Name": "afgasdfasfasffasf", 
          "Addr": [
            {
              "AddrTypeCd": "MailingAddress", 
              "Addr1": "911 FORBES AVE", 
              "Addr2": "SUITE XXX", 
              "CityName": "asdfasfd", 
              "StateProvCd": "PA", 
              "PostalCode": "15219"
            }, 
            {
              "AddrTypeCd": "OfficeAddress", 
              "Addr1": "911 Watson AVE", 
              "Addr2": "SUITE XXX", 
              "CityName": "asdfasfd", 
              "StateProvCd": "CT", 
              "PostalCode": "15119"
            }
          ]
        }
      });

    var rowtde1 = xdmp.toJSON(
    {
      "template":{
        "context":"/customer",
        "rows":[
          {
            "schemaName":"Schemas",
            "viewName":"SampleCustomer",
            "columns":[
              {
                "name":"CustomerName",
                "scalarType":"string",
                "val":"Name"
              },
              {
                "name":"Addr",
                "scalarType":"string",
                "val":"Addr"
              }
            ]
          }
        ]
      }
    }
    );



tde.nodeDataExtract([doc1],[rowtde1]);

执行错误：

[javascript] TDE-EVALFAILED: 
tde.nodeDataExtract([Document({"customer":{"Name":"afgasdfasfasffasf", 
"Addr":[{"AddrTypeCd":"MailingAddress", ...}, ...]}})], 
[Document({"template":{"context":"/customer", "rows": 
[{"schemaName":"Schemas", ...}]}})]) -- Eval for Column Addr='Addr' 
returns multiple values (only one is expected)

Answer 1

我认为稍微不同的方法可以让您到达您想去的地方。让我们将上下文从 /customer 更改为 /customer/Addr。现在，TDE 可以为数组中的每一项提取一行。（如果您有一堆要提取的数据不在数组中，您将使用多个模板来填充索引。

 var doc1 = xdmp.toJSON(
      {
        "customer":{
          "Name": "afgasdfasfasffasf", 
          "Addr": [
            {
              "AddrTypeCd": "MailingAddress", 
              "Addr1": "911 FORBES AVE", 
              "Addr2": "SUITE XXX", 
              "CityName": "asdfasfd", 
              "StateProvCd": "PA", 
              "PostalCode": "15219"
            }, 
            {
              "AddrTypeCd": "OfficeAddress", 
              "Addr1": "911 Watson AVE", 
              "Addr2": "SUITE XXX", 
              "CityName": "asdfasfd", 
              "StateProvCd": "CT", 
              "PostalCode": "15119"
            }
          ]
        }
      });

    var rowtde1 = xdmp.toJSON(
    {
      "template":{
        "context":"/customer/Addr",
        "rows":[
          {
            "schemaName":"Schemas",
            "viewName":"CustomerAddress",
            "columns":[
              {
                "name":"CustomerName",
                "scalarType":"string",
                "val":"../../Name"
              },
              {
                "name":"AddrTypeCd",
                "scalarType":"string",
                "val":"AddrTypeCd"
              },
              {
                "name":"Addr1",
                "scalarType":"string",
                "val":"Addr1"
              },
              {
                "name":"Addr2",
                "scalarType":"string",
                "val":"Addr2"
              },
              {
                "name":"CityName",
                "scalarType":"string",
                "val":"CityName"
              },
              {
                "name":"StateProvCd",
                "scalarType":"string",
                "val":"StateProvCd"
              },
              {
                "name":"PostalCode",
                "scalarType":"string",
                "val":"PostalCode"
              }
            ]
          }
        ]
      }
    }
    );



tde.nodeDataExtract([doc1],[rowtde1]);

这会为添加到 Schemas.CustomerAddress 视图的每个地址获取一行。

根据此评论添加信息："I'm trying to avoid Joins as well as multiple views to build and maintain. Every new template, has a cost on the server due to indexing."

值得记住的是，MarkLogic 视图的实现方式与关系数据库中的视图不同。在幕后，MarkLogic 的视图是使用三重索引实现的，因此无论如何都会有连接。我上面列出的方法是处理这种情况的常用方法。

数组的 TDE 标量类型

TDE Scalar Type for Array

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