Question

我目前正在解析公司内部简历中的文字。目标是将elasticsearch中的所有内容编入索引以对其进行搜索。

目前我有以下没有定义映射的JSON文档：

每个同事都有一个项目列表，其中包含客户端名称

{
name: "Jean Wisser"
position: "Junior Developer"
"projects": [
        {
            "client": "SutrixMedia",
            "missions": [
                "Responsible for the quality on time and within budget",
                "Writing specs, testing,..."
            ],
            "technologies": "JIRA/Mantis/Adobe CQ5 (AEM)"
        },
        {
            "client": "Société Générale",
            "missions": [
                " Writing test cases and scenarios",
                " UAT"
             ],
            "technologies": "HP QTP/QC"
        }
    ]
}

我们想回答的两个主要问题是：

哪位同事已经在这家公司工作过？
哪个客户使用此技术？

第一个问题很容易回答，例如： Projects.client="SutrixMedia“给我正确的简历。

但是我怎么能回答第二个呢？

我想做一个这样的查询：Projects.technologies="HP QTP/QC"，答案只是客户名称（本例中为“SociétéGénérale”），而不是整个文档。

是否可以通过定义嵌套类型的映射来获得此答案？或者我应该进行父/子映射？

Answer 1

是的，确实，如果您将projects映射为nested类型，然后检索嵌套的inner_hits，则可以使用ES 1.5。*

所以这里是上面的示例文档的映射：

curl -XPUT localhost:9200/resumes -d '
{
  "mappings": {
    "resume": {
      "properties": {
        "name": {
          "type": "string"
        },
        "position": {
          "type": "string"
        },
        "projects": {
          "type": "nested",        <--- declare "projects" as nested type
          "properties": {
            "client": {
              "type": "string",
              "fields": {
                "raw": {
                  "type": "string",
                  "index": "not_analyzed"
                }
              }
            },
            "missions": {
              "type": "string"
            },
            "technologies": {
              "type": "string",
              "fields": {
                "raw": {
                  "type": "string",
                  "index": "not_analyzed"
                }
              }
            }
          }
        }
      }
    }
  }
}'

然后，您可以从上面索引样本文档：

curl -XPUT localhost:9200/resumes/resume/1 -d '{...}'

最后，使用以下仅检索nested inner_hits的查询，您只能检索与Projects.technologies="HP QTP/QC"匹配的嵌套对象

curl -XPOST localhost:9200/resumes/resume/_search -d '
{
  "_source": false,
  "query": {
    "nested": {
      "path": "projects",
      "query": {
        "term": {
          "projects.technologies.raw": "HP QTP/QC"
        }
      },
      "inner_hits": {           <----- only retrieve the matching nested document
        "_source": "client"     <----- and only the "client" field 
      }
    }
  }
}'

仅产生客户名称而不是整个匹配文档：

{
  "took" : 2,
  "timed_out" : false,
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "failed" : 0
  },
  "hits" : {
    "total" : 1,
    "max_score" : 1.4054651,
    "hits" : [ {
      "_index" : "resumes",
      "_type" : "resume",
      "_id" : "1",
      "_score" : 1.4054651,
      "inner_hits" : {
        "projects" : {
          "hits" : {
            "total" : 1,
            "max_score" : 1.4054651,
            "hits" : [ {
              "_index" : "resumes",
              "_type" : "resume",
              "_id" : "1",
              "_nested" : {
                "field" : "projects",
                "offset" : 1
              },
              "_score" : 1.4054651,
              "_source":{"client":"Société Générale"}  <--- here is the client name
            } ]
          }
        }
      }
    } ]
  }
}

Elasticsearch数据模型

1 个答案: