Elastic Query下面没有为我的应用程序返回任何结果
"query" : {
"bool" : {
"must" : [
{
"simple_query_string" : {
"query" : "IN-123456",
"fields" : [
"field1.auto^1.0",
"field2.auto^1.0"
],
"flags" : -1,
"default_operator" : "AND",
"analyze_wildcard" : false,
"auto_generate_synonyms_phrase_query" : true,
"fuzzy_prefix_length" : 0,
"fuzzy_max_expansions" : 50,
"fuzzy_transpositions" : true,
"boost" : 1.0
}
}],
"adjust_pure_negative" : true,
"boost" : 1.0
}
}
}
请注意，我在弹性数据源中存在带有与field2匹配的文本“ IN-123456”的文档。 我可以搜索与“ 123456”相同的文档作为查询中的文本。
下面是使用的索引
{
"document_****": {
"aliases": {
"document": {}
},
"mappings": {
"_doc": {
"dynamic": "strict",
"date_detection": false,
"properties": {
"@timestamp": {
"type": "date"
},
"field2": {
"type": "keyword",
"fields": {
"auto": {
"type": "text",
"analyzer": "autocomplete",
"search_analyzer": "standard"
}
}
},
}
}
},
"settings": {
"index": {
"number_of_shards": "5",
"provided_name": "document_***",
"creation_date": "1****",
"analysis": {
"filter": {
"autocomplete_filter_30": {
"type": "edge_ngram",
"min_gram": "1",
"max_gram": "30"
},
"autocomplete_filter": {
"type": "edge_ngram",
"min_gram": "1",
"max_gram": "20"
}
},
"analyzer": {
"autocomplete": {
"filter": [
"lowercase",
"stop",
"autocomplete_filter"
],
"type": "custom",
"tokenizer": "standard"
},
"autocomplete_30": {
"filter": [
"lowercase",
"stop",
"autocomplete_filter_30"
],
"type": "custom",
"tokenizer": "standard"
},
"autocomplete_nonstop": {
"filter": [
"lowercase",
"autocomplete_filter"
],
"type": "custom",
"tokenizer": "standard"
}
}
},
"number_of_replicas": "1",
"uuid": "***",
"version": {
"created": "6020499"
}
}
}
}
}
注意：出于机密原因，很少用*替换值
答案 0 :(得分：0)
检查您的映射。下面的查询工作正常。
POST v_upload_branch/_doc
{
"branch_name":"IN-123456",
"branch_head":"Chennai",
}
GET v_upload_branch/_search
{
"query" : {
"bool" : {
"must" : [
{
"simple_query_string" : {
"query" : "IN-123456",
"fields" : [
"branch_head^1.0",
"branch_name^1.0"
],
"flags" : -1,
"default_operator" : "AND",
"analyze_wildcard" : false,
"auto_generate_synonyms_phrase_query" : true,
"fuzzy_prefix_length" : 0,
"fuzzy_max_expansions" : 50,
"fuzzy_transpositions" : true,
"boost" : 1.0
}
}],
"adjust_pure_negative" : true,
"boost" : 1.0
}
}
}
下面是使用的索引
{
"document_****": {
"aliases": {
"document": {}
},
"mappings": {
"_doc": {
"dynamic": "strict",
"date_detection": false,
"properties": {
"@timestamp": {
"type": "date"
},
"field2": {
"type": "keyword",
"fields": {
"auto": {
"type": "text",
"analyzer": "autocomplete",
"search_analyzer": "standard"
}
}
},
}
}
},
"settings": {
"index": {
"number_of_shards": "5",
"provided_name": "document_***",
"creation_date": "1****",
"analysis": {
"filter": {
"autocomplete_filter_30": {
"type": "edge_ngram",
"min_gram": "1",
"max_gram": "30"
},
"autocomplete_filter": {
"type": "edge_ngram",
"min_gram": "1",
"max_gram": "20"
}
},
"analyzer": {
"autocomplete": {
"filter": [
"lowercase",
"stop",
"autocomplete_filter"
],
"type": "custom",
"tokenizer": "standard"
},
"autocomplete_30": {
"filter": [
"lowercase",
"stop",
"autocomplete_filter_30"
],
"type": "custom",
"tokenizer": "standard"
},
"autocomplete_nonstop": {
"filter": [
"lowercase",
"autocomplete_filter"
],
"type": "custom",
"tokenizer": "standard"
}
}
},
"number_of_replicas": "1",
"uuid": "***",
"version": {
"created": "6020499"
}
}
}
}
}
注意：出于机密原因，很少用*替换值
答案 1 :(得分：0)
分析我的索引映射后，发现令牌过滤器停止从令牌流中删除前缀 IN 。因为它是默认停用词列表 english 停用词
的一部分https://www.elastic.co/guide/en/elasticsearch/reference/current/analysis-stop-tokenfilter.html
由于这种弹性搜索，搜索时会忽略前缀IN，并且不会返回任何结果