【发布时间】：2017-02-09 15:18:16
【问题描述】：
我有 999 个文档用于试验弹性搜索。
我的类型映射中有一个字段 f4 被分析并具有以下分析器设置：
"myNGramAnalyzer" => [
"type" => "custom",
"char_filter" => ["html_strip"],
"tokenizer" => "standard",
"filter" => ["lowercase","standard","asciifolding","stop","snowball","ngram_filter"]
]
我的过滤器如下：
"filter" => [
"ngram_filter" => [
"type" => "edgeNGram",
"min_gram" => "2",
"max_gram" => "20"
]
]
字段 f4 的值为“Proj1”、“Proj2”、“Proj3”......等等。
现在，当我尝试使用“proj1”字符串的交叉字段进行搜索时，我期待带有“Proj1”的文档以最高分数返回到响应的顶部。但事实并非如此。其余所有数据内容几乎相同。
我也不明白为什么它匹配所有 999 文档？
以下是我的搜索：
{
"index": "myindex",
"type": "mytype",
"body": {
"query": {
"multi_match": {
"query": "proj1",
"type": "cross_fields",
"operator": "and",
"fields": "f*"
}
},
"filter": {
"term": {
"deleted": "0"
}
}
}
}
我的搜索结果是：
{
"took": 12,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 999,
"max_score": 1,
"hits": [{
"_index": "myindex",
"_type": "mytype",
"_id": "42",
"_score": 1,
"_source": {
"f1": "396","f2": "125650","f3": "BH.1511AI.001",
"f4": "Proj42",
"f5": "BH.1511AI.001","f6": "","f7": "","f8": "","f9": "","f10": "","f11": "","f12": "","f13": "","f14": "","f15": "","f16": "09/05/16 | 01:02PM | User","deleted": "0"
}
}, {
"_index": "myindex",
"_type": "mytype",
"_id": "47",
"_score": 1,
"_source": {
"f1": "396","f2": "137946","f3": "BH.152096.001",
"f4": "Proj47",
"f5": "BH.1511AI.001","f6": "","f7": "","f8": "","f9": "","f10": "","f11": "","f12": "","f13": "","f14": "","f15": "","f16": "09/05/16 | 01:02PM | User","deleted": "0"
}
},
//.......
//.......
//MANY RECORDS IN BETWEEN HERE
//.......
//.......
{
"_index": myindex,
"_type": "mytype",
"_id": "1",
"_score": 1,
"_source": {
"f1": "396","f2": "142095","f3": "BH.705215.001",
"f4": "Proj1",
"f5": "BH.1511AI.001","f6": "","f7": "","f8": "","f9": "","f10": "","f11": "","f12": "","f13": "","f14": "","f15": "","f16": "09/05/16 | 01:02PM | User","deleted": "0"
}
//.......
//.......
//MANY RECORDS IN BETWEEN HERE
//.......
//.......
}]
}
}
我做错了什么或遗漏了什么？ （对于冗长的问题，我深表歉意，但我想提供所有可能的信息，丢弃不必要的其他代码）。
已编辑：
词向量响应
{
"_index": "myindex",
"_type": "mytype",
"_id": "10",
"_version": 1,
"found": true,
"took": 9,
"term_vectors": {
"f4": {
"field_statistics": {
"sum_doc_freq": 5886,
"doc_count": 999,
"sum_ttf": 5886
},
"terms": {
"pr": {
"doc_freq": 999,
"ttf": 999,
"term_freq": 1,
"tokens": [{
"position": 0,
"start_offset": 0,
"end_offset": 6
}]
},
"pro": {
"doc_freq": 999,
"ttf": 999,
"term_freq": 1,
"tokens": [{
"position": 0,
"start_offset": 0,
"end_offset": 6
}]
},
"proj": {
"doc_freq": 999,
"ttf": 999,
"term_freq": 1,
"tokens": [{
"position": 0,
"start_offset": 0,
"end_offset": 6
}]
},
"proj1": {
"doc_freq": 111,
"ttf": 111,
"term_freq": 1,
"tokens": [{
"position": 0,
"start_offset": 0,
"end_offset": 6
}]
},
"proj10": {
"doc_freq": 11,
"ttf": 11,
"term_freq": 1,
"tokens": [{
"position": 0,
"start_offset": 0,
"end_offset": 6
}]
}
}
}
}
}
已编辑 2
字段 f4 的映射
"f4" : {
"type" : "string",
"index_analyzer" : "myNGramAnalyzer",
"search_analyzer" : "standard"
}
我已更新为使用标准分析器进行查询时间，这改善了结果，但仍不是我所期望的。
现在它返回 111 个文档，而不是 999（所有文档），例如“Proj1”、“Proj11”、“Proj111”......“Proj1”、“Proj181”......等.
“Proj1”仍然在结果之间，而不是在顶部。
【问题讨论】：
-
您能否检查文档之一的词向量：elastic.co/guide/en/elasticsearch/reference/current/…
-
@alpert 使用术语向量响应更新问题
-
您能否将 multi_match 搜索查询的
type从cross_fields更改为best_fields并再次检查结果是否是所需的结果。 -
我已经试过了，没有任何改善。
-
能否请您发送您的
myIndex映射？
标签： java amazon-web-services elasticsearch full-text-search search-engine