全文检索完全匹配高亮查询
全文检索请求方式get
请求url: http://127.0.0.1:9200/shopping/_search
请求体执行如下的请求:
{
"query":{
"match":{
"category":"小华"
}
}
}
得到的查询结果如下:
{
"took": 13,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 7,
"relation": "eq"
},
"max_score": 0.8266786,
"hits": [
{
"_index": "shopping",
"_type": "_doc",
"_id": "SJtEPn4BwYTyfKb722JN",
"_score": 0.8266786,
"_source": {
"title": "华为手机",
"category": "华为",
"images": "http://huawei.com",
"price": 6999.00
}
},
{
"_index": "shopping",
"_type": "_doc",
"_id": "SZtEPn4BwYTyfKb78GIE",
"_score": 0.8266786,
"_source": {
"title": "华为手机",
"category": "华为",
"images": "http://huawei.com",
"price": 7999.00
}
},
{
"_index": "shopping",
"_type": "_doc",
"_id": "SptFPn4BwYTyfKb7AGLp",
"_score": 0.8266786,
"_source": {
"title": "华为手机",
"category": "华为",
"images": "http://huawei.com",
"price": 1999.00
}
},
{
"_index": "shopping",
"_type": "_doc",
"_id": "3",
"_score": 0.5753642,
"_source": {
"title": "小米手机",
"category": "小米",
"images": "http://xiaomi.com",
"price": 1
}
},
{
"_index": "shopping",
"_type": "_doc",
"_id": "ex0KPX4BPkzBbPhZJmdM",
"_score": 0.5753642,
"_source": {
"title": "小米手机",
"category": "小米",
"images": "http://xiaomi.com",
"price": 3999.00
}
},
{
"_index": "shopping",
"_type": "_doc",
"_id": "fB0NPX4BPkzBbPhZNmcn",
"_score": 0.5753642,
"_source": {
"title": "小米手机",
"category": "小米",
"images": "http://xiaomi.com",
"price": 3999.00
}
},
{
"_index": "shopping",
"_type": "_doc",
"_id": "2",
"_score": 0.5753642,
"_source": {
"title": "小米手机",
"category": "小米",
"images": "http://xiaomi.com",
"price": 3999.00
}
}
]
}
}
可以看到是把所有的数据都 查询出来了.
然而category并没有"小华"
原因是因为es默认的分词器, 是把中文按照一个一个汉字进行分词,放入倒排索引中的, 小米和华为, 分别包含小和华. 在查询的时候, 把小华也是进行一个一个汉字 分词去查询的, 因此查询出来了所有的数据 .
完全匹配要用match_phrase , 而不是match
请求体执行如下的请求:
{
"query":{
"match_phrase":{
"category":"小华"
}
}
}
结果如下:
{
"took": 22,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 0,
"relation": "eq"
},
"max_score": null,
"hits": []
}
}
只有如下完全匹配, 才能查询到数据
{
"query":{
"match_phrase":{
"category":"华为"
}
}
}
高亮查询
使用highlight 进行高亮的结果显示.
案例
{
"query":{
"match_phrase":{
"category":"华为"
}
},
"highlight": {
"fields": {
"category": {}
}
}
}
对category 进行高亮
结果如下
{
"took": 119,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 3,
"relation": "eq"
},
"max_score": 1.6533571,
"hits": [
{
"_index": "shopping",
"_type": "_doc",
"_id": "SJtEPn4BwYTyfKb722JN",
"_score": 1.6533571,
"_source": {
"title": "华为手机",
"category": "华为",
"images": "http://huawei.com",
"price": 6999.00
},
"highlight": {
"category": [
"华为"
]
}
},
{
"_index": "shopping",
"_type": "_doc",
"_id": "SZtEPn4BwYTyfKb78GIE",
"_score": 1.6533571,
"_source": {
"title": "华为手机",
"category": "华为",
"images": "http://huawei.com",
"price": 7999.00
},
"highlight": {
"category": [
"华为"
]
}
},
{
"_index": "shopping",
"_type": "_doc",
"_id": "SptFPn4BwYTyfKb7AGLp",
"_score": 1.6533571,
"_source": {
"title": "华为手机",
"category": "华为",
"images": "http://huawei.com",
"price": 1999.00
},
"highlight": {
"category": [
"华为"
]
}
}
]
}
}
使用 进行高亮
