Question

我有这个映射＆amp;查询。一切正常，除非我想用提到的＆＃34; tagid＆＃34; s过滤那些内容。它返回零结果。

我想根据标签ID过滤内容。

    {
  "mappings": {
    "video": {
      "_all": {
        "enabled": true
      },
      "properties": {
        "title": {
          "type": "string"
        },
        "en_title": {
          "type": "string"
        },
        "tags": {
          "type": "nested",
          "properties": {
            "tagname": {
              "type": "string"
            },
            "tagid": {
              "type": "string",
              "index": "not_analyzed"
            }
          }
        },
        "metadescription": {
          "type": "string"
        },
        "author": {
          "type": "string"
        },
        "description": {
          "type": "string"
        },
        "items": {
          "type": "nested",
          "properties": {
            "item_title": {
              "type": "string"
            },
            "item_duration": {
              "type": "string",
              "index": "not_analyzed"
            }
          }
        },
        "isfeatured": {
          "type": "string",
          "index": "not_analyzed"
        },
        "image": {
          "type": "string",
          "index": "not_analyzed"
        },
        "contenttype": {
          "type": "string",
          "index": "not_analyzed"
        },
        "category": {
          "type": "string",
          "index": "not_analyzed"
        },
        "categoryalias": {
          "type": "string",
          "index": "not_analyzed"
        },
        "url": {
          "type": "string",
          "index": "not_analyzed"
        },
        "authorid": {
          "type": "string",
          "index": "not_analyzed"
        },
        "price": {
          "type": "string",
          "index": "not_analyzed"
        },
        "duration": {
          "type": "string",
          "index": "not_analyzed"
        },
        "publishdate": {
          "type": "date",
          "format": "yyyy-MM-dd HH:mm:ss"
        }
      }
    }
  }
}

这是查询：

    {
  "index": "content",
  "type": "video",
  "body": {
    "query": {
      "filtered": {
        "query": {
          "match_all": { }
        },
        "filter": {
          "bool": {
            "must": [
              {
                "nested": {
                  "path": "tags",
                  "query": {
                    "bool": {
                      "should": [
                        {
                          "term": {
                            "tagid": "193"
                          }
                        },
                        {
                          "term": {
                            "tagid": "194"
                          }
                        }
                      ]
                    }
                  }
                }
              },
              {
                "term": {
                  "categoryalias": "digilife"
                }
              },
              {
                "term": {
                  "price": 0
                }
              }
            ]
          }
        }
      }
    },
    "from": 0,
    "size": 9,
    "sort": [
      "_score"
    ]
  }
}

Answer 1

您的查询中的 nested filter 不太正确。对于您拥有tagid的字段名称，它应为tags.tagid。完整查询应

{
 "index": "content",
 "type": "video",
 "body": {
   "query": {
     "filtered": {
       "query": {
         "match_all": {}
       },
       "filter": {
         "bool": {
           "must": [{
             "nested": {
               "path": "tags",
               "query": {
                 "bool": {
                   "should": [{
                     "term": {
                       "tags.tagid": "193"
                     }
                   }, {
                     "term": {
                       "tags.tagid": "194"
                     }
                   }]
                 }
               }
             }
           }, {
             "term": {
               "categoryalias": "digilife"
             }
           }, {
             "term": {
               "price": 0
             }
           }]
         }
       }
     }
   },
   "from": 0,
   "size": 9,
   "sort": [
     "_score"
   ]
 }
}

修改

这是一个完整的工作示例，可帮助您入门。我已经使用了Sense，但您可以使用cURL或您选择的语言客户端。

用于映射

curl -XPUT "http://localhost:9200/content" -d' { "mappings": { "video": { "_all": { "enabled": true }, "properties": { "title": { "type": "string" }, "en_title": { "type": "string" }, "tags": { "type": "nested", "properties": { "tagname": { "type": "string" }, "tagid": { "type": "string", "index": "not_analyzed" } } }, "metadescription": { "type": "string" }, "author": { "type": "string" }, "description": { "type": "string" }, "items": { "type": "nested", "properties": { "item_title": { "type": "string" }, "item_duration": { "type": "string", "index": "not_analyzed" } } }, "isfeatured": { "type": "string", "index": "not_analyzed" }, "image": { "type": "string", "index": "not_analyzed" }, "contenttype": { "type": "string", "index": "not_analyzed" }, "category": { "type": "string", "index": "not_analyzed" }, "categoryalias": { "type": "string", "index": "not_analyzed" }, "url": { "type": "string", "index": "not_analyzed" }, "authorid": { "type": "string", "index": "not_analyzed" }, "price": { "type": "string", "index": "not_analyzed" }, "duration": { "type": "string", "index": "not_analyzed" }, "publishdate": { "type": "date", "format": "yyyy-MM-dd HH:mm:ss" } } } } }'

我们可以通过
检查映射是否符合预期
curl -XGET "http://localhost:9200/content/video/_mapping"

现在，让我们将一些文档索引到索引
中
// document with id 1 curl -XPOST "http://localhost:9200/content/video/1" -d' { "tags": [ { "tagname" : "tag 193", "tagid": "193" } ], "price": 0, "categoryalias": "digilife" }' // document with id 2 curl -XPOST "http://localhost:9200/content/video/2" -d' { "tags": [ { "tagname" : "tag 194", "tagid": "194" } ], "price": 0, "categoryalias": "digilife" }' // document with id 3 curl -XPOST "http://localhost:9200/content/video/3" -d' { "tags": [ { "tagname" : "tag 194", "tagid": "194" } ], "price": 0, "categoryalias": "different category alias" }'

现在，让我们运行查询。我删除了查询的多余部分并将其简化

curl -XGET "http://localhost:9200/content/video/_search" -d' { "query": { "filtered": { "filter": { "bool": { "must": [ { "nested": { "path": "tags", "query": { "terms": { "tags.tagid": [ "193", "194" ] } } } }, { "term": { "categoryalias": "digilife" } }, { "term": { "price": 0 } } ] } } } }, "size": 9 }'

只应返回包含ID 1和2的文档。这已通过结果确认

{ "took": 1, "timed_out": false, "_shards": { "total": 5, "successful": 5, "failed": 0 }, "hits": { "total": 2, "max_score": 1, "hits": [ { "_index": "content", "_type": "video", "_id": "1", "_score": 1, "_source": { "tags": [ { "tagname": "tag 193", "tagid": "193" } ], "price": 0, "categoryalias": "digilife" } }, { "_index": "content", "_type": "video", "_id": "2", "_score": 1, "_source": { "tags": [ { "tagname": "tag 194", "tagid": "194" } ], "price": 0, "categoryalias": "digilife" } } ] } }

ElasticSearch：如何创建复杂的查询＆amp;过滤嵌套对象？

1 个答案: