我有一个带有以下search_analyzer的字段:
"name_search_en" : {
"filter" : [
"english_possessive_stemmer",
"lowercase",
"name_synonyms_en",
"english_stop",
"english_stemmer",
"asciifolding"
],
"tokenizer" : "standard"
}
name_synonyms_en是一个看起来像这样的synonym_graph
"name_synonyms_en" : {
"type" : "synonym_graph",
"synonyms" : [
"beach bag => straw bag,beach bag",
"bicycle,bike"
]
}
运行以下multi_match查询可以正确应用同义词
{
"query": {
"multi_match": {
"query": "beach bag",
"auto_generate_synonyms_phrase_query": false,
"type": "cross_fields",
"fields": [
"brand.en-US^1.0",
"name.en-US^1.0"
]
}
}
}
这是_validate解释输出。如预期的那样,原始查询中同时出现了沙滩包和草编包:
"explanations" : [
{
"index" : "d7598351-311f-4844-bb91-4f26c9f538f3",
"valid" : true,
"explanation" : "+((((+name.en-US:straw +name.en-US:bag) (+name.en-US:beach +name.en-US:bag))) | (brand.en-US:beach brand.en-US:bag)) #DocValuesFieldExistsQuery [field=_primary_term]"
}
]
在下面的simple_query_string中我希望如此
{
"query": {
"simple_query_string": {
"query": "beach bag",
"auto_generate_synonyms_phrase_query": false,
"fields": [
"brand.en-US^1.0",
"name.en-US^1.0"
]
}
}
}
但是原始查询中不存在草袋同义词
"explanations" : [
{
"index" : "d7598351-311f-4844-bb91-4f26c9f538f3",
"valid" : true,
"explanation" : "+((name.en-US:beach | brand.en-US:beach)~1.0 (name.en-US:bag | brand.en-US:bag)~1.0) #DocValuesFieldExistsQuery [field=_primary_term]"
}
]
该问题似乎仅与多词同义词有关。如果我搜索“自行车”,则查询中正确显示了自行车的同义词
"explanations" : [
{
"index" : "d7598351-311f-4844-bb91-4f26c9f538f3",
"valid" : true,
"explanation" : "+(Synonym(name.en-US:bicycl name.en-US:bike) | brand.en-US:bike)~1.0 #DocValuesFieldExistsQuery [field=_primary_term]"
}
]
这是否是预期行为(此查询不支持多词同义词)?
答案 0 :(得分:0)
默认情况下,simple_query_string
启用了WHITESPACE
标志。输入文本被标记化。这就是同义词过滤器无法正确处理多字的原因。该查询禁用所有使多词同义词按预期工作的标志
{
"query": {
"simple_query_string": {
"query": "beach bag",
"auto_generate_synonyms_phrase_query": false,
"flags": "NONE",
"fields": [
"brand.en-US^1.0",
"name.en-US^1.0"
]
}
}
}
不幸的是,此参数不能与minimum_should_match
参数配合使用。完整的讨论和更多细节可以在这里https://discuss.elastic.co/t/simple-query-string-and-multi-terms-synonyms/174780