Autocomplete Elasticsearch通过令牌自动完成或自动建议

我想就如何基于标记完成一个术语提出建议，类似于谷歌的自动完成，但只使用一个标记或单词

我想搜索将标记化的文件名。例如，“BRAND_Connect_A1233.jpg”被标记为“BRAND”、“Connect”、“a1234”和“jpg”

现在我想问一些建议，例如“Con”。 建议应提供完整的匹配标记，而不是完整的文件名：

• 连接
• 轮廓
• 概念

“A12”的建议应为“A1234”、“A1233”、“A1233”

例子 使用查询、方面和过滤器可以很好地工作

首先，我创建了一个映射，包括一个标记器和一个过滤器：

这两种分析器都工作得很好：

curl-XGET'localhost:9200/files/\u analyze？pretty=1&text=BRAND\u ConnectBlue\u A1234.jpg&analyzer=filename\u search'
curl-XGET'localhost:9200/files/\u analyze？pretty=1&text=BRAND\u ConnectBlue\u A1234.jpg&analyzer=filename\u index'

现在我添加了一些示例数据

curl-X POST“localhost:9200/files/file”-d'{“filename”：“BRAND_ConnectBlue_A1234.jpg”}
curl-X POST“localhost:9200/files/file”-d'{“filename”：“BRAND_Connect_A1233.jpg”}
curl-X POST“localhost:9200/files/file”-d'{“filename”：“BRAND_ConceptSpace_A1244.jpg”}”
curl-X POST“localhost:9200/files/file”-d'{“filename”：“COMPANY_Connect_A1222.jpg”}”
curl-X POST“localhost:9200/files/file”-d'{“filename”：“COMPANY_Concept_A1233.jpg”}”
curl-X POST“localhost:9200/files/file”-d'{“filename”：“DEALER_Connect_B1234_uu.jpg”}
curl-X POST“localhost:9200/files/file”-d'{“filename”：“DEALER\u Contour21\u B1233.jpg”}
curl-X POST“localhost:9200/files/file”-d'{“filename”：“DEALER_ConceptCube_B2233.jpg”}
curl-X POST“localhost:9200/files/\u刷新”

获得所需建议的各种方法并不能带来预期的结果。我试图命名分析器，并尝试了分析器和通配符的各种组合

curl-XGET'localhost:9200/files/\u suggest？pretty=true'-d'{
“文本”：“con”，
“简单短语”：{
“短语”：{
“字段”：“文件名”，
“尺寸”：15，
“真实单词错误可能性”：0.75，
“最大误差”：0.1，
“克大小”：3
}
}
}'

curl-XGET'localhost:9200/files/\u suggest？pretty=true'-d'{
“我的建议”：{
“文本”：“con”，
“期限”：{
“字段”：“文件名”，
“分析器”：“文件名\索引”
}
}
}'

您需要添加一个特殊映射来使用完成建议器，如文档所示。我已经修改了你的例子来说明它是如何工作的

首先创建索引。请注意

文件名\u建议的映射

curl -XPUT 'localhost:9200/files/?pretty=1'  -d '
{
   "settings" : {
      "analysis" : {
         "analyzer" : {
            "filename_search" : {
               "tokenizer" : "filename",
               "filter" : ["lowercase"]
            },
            "filename_index" : {
               "tokenizer" : "filename",
               "filter" : ["lowercase","edge_ngram"]
            }
         },
         "tokenizer" : {
            "filename" : {
               "pattern" : "[^[;_\\.\\/]\\d]+",
               "type" : "pattern"
            }
         },
         "filter" : {
            "edge_ngram" : {
               "side" : "front",
               "max_gram" : 20,
               "min_gram" : 2,
               "type" : "edgeNGram"
            }
         }
      }
   },
   "mappings" : {
      "file" : {
         "properties" : {
            "filename" : {
               "type" : "string",
               "analyzer": "filename_index",
               "search_analyzer" : "filename_search"
            },
            "filename_suggest": {
              "type": "completion",
              "analyzer": "simple",
              "search_analyzer": "simple",
              "payloads": true
            }
         }
      }
   }
}'

添加一些数据。请注意
filename\u suggest
如何具有
输入
字段，其中包含要匹配的关键字

curl -X POST "localhost:9200/files/file" -d '{ "filename" : "BRAND_ConnectBlue_A1234.jpg", "filename_suggest": { "input": ["BRAND", "ConnectBlue", "A1234", "jpg"], "payload": {} } }'
curl -X POST "localhost:9200/files/file" -d '{ "filename" : "BRAND_Connect_A1233.jpg", "filename_suggest": { "input": ["BRAND", "Connect", "A1233", "jpg"], "payload": {} } }'
curl -X POST "localhost:9200/files/file" -d '{ "filename" : "BRAND_ConceptSpace_A1244.jpg", "filename_suggest": { "input": ["BRAND", "ConceptSpace", "A1244", "jpg"], "payload": {} } }'
curl -X POST "localhost:9200/files/file" -d '{ "filename" : "COMPANY_Connect_A1222.jpg", "filename_suggest": { "input": ["COMPANY", "Connect", "A1222", "jpg"], "payload": {} } }'
curl -X POST "localhost:9200/files/file" -d '{ "filename" : "COMPANY_Concept_A1233.jpg", "filename_suggest": { "input": ["COMPANY", "Concept", "A1233", "jpg"], "payload": {} } }'
curl -X POST "localhost:9200/files/file" -d '{ "filename" : "DEALER_Connect_B1234_.jpg", "filename_suggest": { "input": ["DEALER", "Connect", "B1234", "jpg"], "payload": {} } }'
curl -X POST "localhost:9200/files/file" -d '{ "filename" : "DEALER_Contour21_B1233.jpg", "filename_suggest": { "input": ["DEALER", "Contour21", "B1233", "jpg"], "payload": {} }}'
curl -X POST "localhost:9200/files/file" -d '{ "filename" : "DEALER_ConceptCube_B2233.jpg", "filename_suggest": { "input": ["DEALER", "ConceptCube", "B2233", "jpg"], "payload": {} }}'
curl -X POST "localhost:9200/files/_refresh"

现在执行查询：

curl -XPOST 'localhost:9200/files/_suggest?pretty=true'  -d '{
    "filename_suggest" : {
        "text" : "con",
        "completion": {
            "field": "filename_suggest", "size": 10
        }
    }
}'

结果:

{
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "failed" : 0
  },
  "filename_suggest" : [ {
    "text" : "con",
    "offset" : 0,
    "length" : 3,
    "options" : [ {
      "text" : "Connect",
      "score" : 2.0,
      "payload":{}
    }, {
      "text" : "Concept",
      "score" : 1.0,
      "payload":{}
    }, {
      "text" : "ConceptSpace",
      "score" : 1.0,
      "payload":{}
    }, {
      "text" : "ConnectBlue",
      "score" : 1.0,
      "payload":{}
    }, {
      "text" : "Contour21",
      "score" : 1.0,
      "payload":{}
    } ]
  } ]
}

{
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "failed" : 0
  },
  "filename_suggest" : [ {
    "text" : "con",
    "offset" : 0,
    "length" : 3,
    "options" : [ {
      "text" : "Connect",
      "score" : 2.0,
      "payload":{}
    }, {
      "text" : "Concept",
      "score" : 1.0,
      "payload":{}
    }, {
      "text" : "ConceptSpace",
      "score" : 1.0,
      "payload":{}
    }, {
      "text" : "ConnectBlue",
      "score" : 1.0,
      "payload":{}
    }, {
      "text" : "Contour21",
      "score" : 1.0,
      "payload":{}
    } ]
  } ]
}