通过mongodb河在弹性搜索中创建索引的映射没有生效 [英] mapping in create index in elasticsearch through mongodb river is not taking effect

问题描述

我试图使用mongodb-river使用以下命令索引mongodb在弹性搜索中，但文档映射没有生效。它仍然使用默认分析器（标准）为字段文本

I am trying to index mongodb in elasticsearch using mongodb-river using the following command but the document mapping is not taking effect. It is still using the default analyzer(standard) for field text

Mongodb-river
该文档指定了索引的创建，但没有关于如何提供自定义映射的文档。这是我试过的有没有其他的文档，我可以在mongodb-river中找到如何指定自定义分析器等。

Mongodb-river The document specifies the creation of index but there is no documentation on how to provide custom mapping. This is what I tried. Is there any other documentation where I can find how to specify custom analyzers etc in using mongodb-river.

curl -XPUT "localhost:9200/_river/autocompleteindex/_meta" -d '
{
    "type": "mongodb",
    "mongodb": {
        "host": "rahulg-dc",
        "port": "27017",
        "db": "qna",
        "collection": "autocomplete_questions"
    },
    "index": {
        "name": "autocompleteindex",
        "type": "autocomplete_questions",
        "analysis" : {
                "analyzer" : {
                     "str_search_analyzer" : {
                          "tokenizer" : "keyword",
                          "filter" : ["lowercase"]
                      },

                      "str_index_analyzer" : {
                         "tokenizer" : "keyword",
                         "filter" : ["lowercase", "ngram"]
                    }
                },
                "filter" : {
                    "ngram" : {
                        "type" : "ngram",
                        "min_gram" : 2,
                        "max_gram" : 20
                    }
                }
            }
    },
    "autocompleteindex": {
       "_boost" : {
            "name" : "po", 
            "null_value" : 1.0
       },
       "properties": {
                "po": {
                    "type": "double"
                },
                "text": {
                    "type": "string",
                    "boost": 3.0,
                    "search_analyzer" : "str_search_analyzer",
                    "index_analyzer" : "str_index_analyzer"
                }           
       }
    }
}'

查询返回正确的结果是我用全字搜索但不匹配任何子列ng匹配。此外，升压因子没有显示出其作用。

The query returns proper results is I search by full words but does not match any substring match. Also, the boost factor is not showing its effect.

我做错了什么？

推荐答案

你必须使用您的索引设置（分析器）创建您的索引：
$ b

You have to create first your index with your index settings (analyzer):

"analysis" : {
            "analyzer" : {
                 "str_search_analyzer" : {
                      "tokenizer" : "keyword",
                      "filter" : ["lowercase"]
                  },

                  "str_index_analyzer" : {
                     "tokenizer" : "keyword",
                     "filter" : ["lowercase", "ngram"]
                }
            },
            "filter" : {
                "ngram" : {
                    "type" : "ngram",
                    "min_gram" : 2,
                    "max_gram" : 20
                }
            }
        }

然后，您可以为您的类型定义一个映射：

"autocomplete_questions": {
   "_boost" : {
        "name" : "po", 
        "null_value" : 1.0
   },
   "properties": {
            "po": {
                "type": "double"
            },
            "text": {
                "type": "string",
                "boost": 3.0,
                "search_analyzer" : "str_search_analyzer",
                "index_analyzer" : "str_index_analyzer"
            }           
   }
}

，您可以创建河流：

curl -XPUT "localhost:9200/_river/autocompleteindex/_meta" -d '
{
"type": "mongodb",
"mongodb": {
    "host": "rahulg-dc",
    "port": "27017",
    "db": "qna",
    "collection": "autocomplete_questions"
},
"index": {
    "name": "autocompleteindex",
    "type": "autocomplete_questions"} }

有帮助吗？

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