我试图从包含多个单词的短语实现自动完成功能。Elasticsearch以多个单词开始
我想只能匹配单词的开头(edgeNGram?),但是对于搜索到的每个单词。例如,如果我搜索“监视器”,我应该收到所有带有监视器单词的短语,但是如果我搜索“监视器”,我应该从下面的数据集中找不到任何匹配。另外,对于“mon ap”的搜索应该给我例如“APNEA MONITOR-SCHULTE Vital Signs Monitor”和“mon rrr”应该没有结果。
所以我的问题是我应该如何去实施它?
因此简而言之:匹配短语应包含以搜索条件开头的单词。
这里是我的映射:
{
"quicksearch2" : {
"results" : {
"properties" : {
"phrase" : {
"type" : "string",
"index_analyzer" : "quicksearch_index_analyzer",
"search_analyzer" : "quicksearch_search_analyzer"
}
}
}
}
}
这里是我的设置:
{
"quicksearch2" : {
"settings" : {
"index.analysis.analyzer.quicksearch_index_analyzer.filter.4" : "left_ngram",
"index.analysis.analyzer.quicksearch_search_analyzer.filter.3" : "unique",
"index.analysis.analyzer.quicksearch_index_analyzer.filter.3" : "unique",
"index.analysis.filter.left_ngram.max_gram" : "20",
"index.analysis.analyzer.quicksearch_search_analyzer.filter.2" : "asciifolding",
"index.analysis.analyzer.quicksearch_search_analyzer.tokenizer" : "keyword",
"index.analysis.analyzer.quicksearch_search_analyzer.filter.1" : "lowercase",
"index.number_of_replicas" : "0",
"index.analysis.analyzer.quicksearch_search_analyzer.filter.0" : "trim",
"index.analysis.filter.left_ngram.type" : "edgeNGram",
"index.analysis.analyzer.quicksearch_search_analyzer.type" : "custom",
"index.analysis.analyzer.quicksearch_index_analyzer.filter.0" : "trim",
"index.analysis.analyzer.quicksearch_index_analyzer.filter.2" : "asciifolding",
"index.analysis.analyzer.quicksearch_index_analyzer.filter.1" : "lowercase",
"index.analysis.analyzer.quicksearch_index_analyzer.type" : "custom",
"index.analysis.filter.left_ngram.side" : "front",
"index.analysis.analyzer.quicksearch_index_analyzer.tokenizer" : "keyword",
"index.number_of_shards" : "1",
"index.version.created" : "900899",
"index.uuid" : "Lb7vC-eHQB-u_Okm3ERLow"
}
}
}
这里是我的查询:
query: {
match: {
phrase: {
query: term,
operator: 'and'
}
}
一些样本数据:
{
"took" : 133,
"timed_out" : false,
"_shards" : {
"total" : 1,
"successful" : 1,
"failed" : 0
},
"hits" : {
"total" : 6197,
"max_score" : 1.491863,
"hits" : [ {
"_index" : "quicksearch2",
"_type" : "results",
"_id" : "emCydgTfQwuKkl4sSZoosQ",
"_score" : 1.491863,
"fields" : {
"phrase" : "APNEA MONITOR- SCHULTE Apnea Monitor"
}
}, {
"_index" : "quicksearch2",
"_type" : "results",
"_id" : "AXCO5rUxRwC9SebXcQxXeQ",
"_score" : 1.491863,
"fields" : {
"phrase" : "APNEA MONITOR- SCHULTE Apnea Monitor, Neonatal"
}
}, {
"_index" : "quicksearch2",
"_type" : "results",
"_id" : "tjJq3klPTsmP8akOc18Htw",
"_score" : 1.491863,
"fields" : {
"phrase" : "APNEA MONITOR- SCHULTE Apnea Monitor, Recording"
}
}, {
"_index" : "quicksearch2",
"_type" : "results",
"_id" : "-FjKWxl9Rm6-byn-wlpoIw",
"_score" : 1.491863,
"fields" : {
"phrase" : "APNEA MONITOR- SCHULTE Cardiorespiratory Monitor"
}
}, {
"_index" : "quicksearch2",
"_type" : "results",
"_id" : "Q19k6V6VQ6ulZOLCfESQ6w",
"_score" : 1.491863,
"fields" : {
"phrase" : "APNEA MONITOR- SCHULTE Impedance Pneumograph Bedside Monitor"
}
}, {
"_index" : "quicksearch2",
"_type" : "results",
"_id" : "YLI1er3cRjSyGumWNVi0pg",
"_score" : 1.491863,
"fields" : {
"phrase" : "APNEA MONITOR- SCHULTE Impedance Pneumograph Monitor"
}
}, {
"_index" : "quicksearch2",
"_type" : "results",
"_id" : "n5j1SaXeS2W6NymaYAYD6A",
"_score" : 1.491863,
"fields" : {
"phrase" : "APNEA MONITOR- SCHULTE Neonatal Monitor"
}
}, {
"_index" : "quicksearch2",
"_type" : "results",
"_id" : "U7Q5XrrHRbKOIwfRWO6RTQ",
"_score" : 1.491863,
"fields" : {
"phrase" : "APNEA MONITOR- SCHULTE Pulmonary Function Monitor"
}
}, {
"_index" : "quicksearch2",
"_type" : "results",
"_id" : "aF_THiCKRIyzunCbBxJTEg",
"_score" : 1.491863,
"fields" : {
"phrase" : "APNEA MONITOR- SCHULTE Vital Signs Monitor"
}
}, {
"_index" : "quicksearch2",
"_type" : "results",
"_id" : "8BAjZfwMQjWmrkqCO7o6gg",
"_score" : 1.491863,
"fields" : {
"phrase" : "P.P.M. - PORTABLE PRECISION MONITOR Gas Monitor, Atmospheric"
}
} ]
}
}
你读过这个吗? http://jontai.me/blog/2013/02/adding-autocomplete-to-an-elasticsearch-search-application/ – phoet