搜索推荐,search as you type,搜索提示,解释一下什么意思
hello w --> 搜索
hello world
hello we
hello win
hello wind
hello dog
hello cat
hello w -->
hello world
hello we
hello win
hello wind
这就是搜索推荐的功能
比如百度
搜elas -->
elasticsearch
elasticsearch权威指南
重建索引my_index
PUT my_index
{
"mappings": {
"my_type": {
"properties": {
"title": {
"type": "text"
}
}
}
}
}
填充数据
PUT /my_index/my_type/11
{
"title" : "hello we"
}
PUT /my_index/my_type/12
{
"title" : "hello win"
}
PUT /my_index/my_type/13
{
"title" : "hello world"
}
PUT /my_index/my_type/14
{
"title" : "hello dog"
}
搜索
GET /my_index/my_type/_search
{
"query": {
"match_phrase_prefix": {
"title": {
"query": "hello w"
}
}
}
}
响应结果
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"skipped": 0,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 0.51623213,
"hits": [
{
"_index": "my_index",
"_type": "my_type",
"_id": "12",
"_score": 0.51623213,
"_source": {
"title": "hello win"
}
},
{
"_index": "my_index",
"_type": "my_type",
"_id": "13",
"_score": 0.51623213,
"_source": {
"title": "hello world"
}
},
{
"_index": "my_index",
"_type": "my_type",
"_id": "11",
"_score": 0.51623213,
"_source": {
"title": "hello we"
}
}
]
}
}
原理跟match_phrase类似,唯一的区别,就是把最后一个term作为前缀去搜索
hello就是去进行match,搜索对应的doc
w,会作为前缀,去扫描整个倒排索引,找到所有w开头的doc
然后找到所有doc中,即包含hello,又包含w开头的字符的doc
根据你的slop去计算,看在slop范围内,能不能让hello w,正好跟doc中的hello和w开头的单词的position相匹配
也可以指定slop,但是只有最后一个term会作为前缀
max_expansions:指定prefix最多匹配多少个term,超过这个数量就不继续匹配了,限定性能
例如
GET /my_index/my_type/_search
{
"query": {
"match_phrase_prefix": {
"title": {
"query": "hello w",
"slop": 10,
"max_expansions": 50
}
}
}
}
默认情况下,前缀要扫描所有的倒排索引中的term,去查找w打头的单词,但是这样性能太差。可以用max_expansions限定,w前缀最多匹配多少个term,就不再继续搜索倒排索引了。
尽量不要用,因为,最后一个前缀始终要去扫描大量的索引,性能可能会很差