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elasticsearch - Elasticsearch search bool + 必须查询

问题描述

有人可以告诉我为什么这个 Elastic 查询会返回下面的结果。查询有 bool + must 部分，只有当字段 nn 与字符串“softo”完全匹配时才应该匹配。查询看起来像：

"query":{
        "bool":{
            "must":[
                {"match":{"nn":"softo"}}
            ],
            "should":[
                {"match":{"nn":"sro"}},
                {"match":{"nn":"as"}},
                {"match":{"nn":"no"}},
                {"match":{"nn":"vos"}},
                {"match":{"nn":"ks"}}
            ]
        }
    }

它返回给我一个在 nn 字段中没有软的结果，例如：

            {
                "_index": "search_2",
                "_type": "doc",
                "_id": "17053188",
                "_score": 129.76167,
                "_source": {
                    "nn": "zo soz kovo zts nova as zts elektronika as",
                    "nazov": "ZO SOZ KOVO,ZŤS NOVA a.s.,ZTS ELEKTRONIKA a.s.",
                }
            },
            {
                "_index": "search_2",
                "_type": "doc",
                "_id": "45732078",
                "_score": 126.953285,
                "_source": {
                    "nn": "agentura socialnych sluzieb   ass no",
                    "nazov": "Agentúra sociálnych služieb - ASS n.o.",
                }
            }

我不明白。为什么它返回像“zo soz kovo zts nova as zts elektronika as”这样的结果，其中没有“softo”字符串。nn 字段的映射如下所示：

{
    "search_2": {
        "aliases": {
            "search": {}
        },
        "mappings": {
            "doc": {
                "dynamic": "strict",
                "properties": { 
                    "nn": {
                        "type": "text",
                        "boost": 10,
                        "analyzer": "autocomplete"
                    }
                }
            }
        },
        "settings": {
            "index": {
                "refresh_interval": "-1",
                "number_of_shards": "4",
                "provided_name": "search_2",
                "creation_date": "1539693645683",
                "analysis": {
                    "filter": {
                        "synonym_filter": {
                            "ignore_case": "true",
                            "type": "synonym",
                            "synonyms_path": "synonyms/sk_SK.txt"
                        },
                        "lemmagen_filter_sk": {
                            "type": "lemmagen",
                            "lexicon": "sk"
                        },
                        "stopwords_SK": {
                            "ignore_case": "true",
                            "type": "stop",
                            "stopwords_path": "stopwords/slovak.txt"
                        },
                        "remove_duplicities": {
                            "type": "unique",
                            "only_on_same_position": "true"
                        },
                        "autocomplete_filter": {
                            "type": "edge_ngram",
                            "min_gram": "2",
                            "max_gram": "20"
                        }
                    },
                    "analyzer": {
                        "autocomplete": {
                            "filter": [
                                "stopwords_SK",
                                "lowercase",
                                "stopwords_SK",
                                "autocomplete_filter"
                            ],
                            "type": "custom",
                            "tokenizer": "standard"
                        },
                        "lower_ascii": {
                            "filter": [
                                "lowercase",
                                "asciifolding"
                            ],
                            "type": "custom",
                            "tokenizer": "standard"
                        },
                        "suggestion": {
                            "filter": [
                                "stopwords_SK",
                                "lowercase",
                                "stopwords_SK",
                                "asciifolding"
                            ],
                            "type": "custom",
                            "tokenizer": "standard"
                        }
                    }
                },
                "number_of_replicas": "1",
                "uuid": "eyxXza0pQxWeQCpXih8ngg",
                "version": {
                    "created": "6020399"
                }
            }
        }
    }
}

标签： elasticsearchsearchmatch

解决方案

由于在现场autocomplete应用了分析仪，您获得这些结果的原因。nn我将根据以下领域进行解释：

"nn": "zo soz kovo zts nova as zts elektronika as"

为上述生成的令牌将是：

zo, so, soz, ko, kov, kovo, zt, zts, no, nov, nova, as, zt, zts, el, ele, elek, elekt, elektr, elektro, elektro, elektroni, elektronik, elektronika, as

现在，默认情况下匹配查询将相同的分析器应用于搜索，并且标记之间的默认运算符是OR。所以{"match":{"nn":"softo"}}实际上表现为

{
  "match": {
    "nn": "so OR sof OR soft OR softo"
  }
}

正如您在字段中看到的那样，nn生成的令牌之一是soans 因此它得到匹配。

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