数据准备
image
query string search
搜索全部商品
GET /company/emp/_search
| 序号 | 属性 | 描述 |
|---|---|---|
| 1 | took | 耗费了几毫秒 |
| 2 | timed_out | 是否超时,这里是没有 |
| 3 | _shards | 数据拆成了5个分片,所以对于搜索请求,会打到所有的primary shard(或者是它的某个replica shard也可以) |
| 4 | hits.total | 查询结果的数量,9个document |
| 5 | hits.max_score | score的含义,就是document对于一个search的相关度的匹配分数,越相关,就越匹配,分数也高 |
| 6 | hits.hits | 包含了匹配搜索的document的详细数据 |
{
"took": 41,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 9,
"max_score": 1,
"hits": [
{
"_index": "company",
"_type": "emp",
"_id": "5",
"_score": 1,
"_source": {
"name": "xiaoming",
"age": 25,
"sex": "woman",
"birthday": "1991-01-02",
"hobby": "i like song"
}
},
{
"_index": "company",
"_type": "emp",
"_id": "8",
"_score": 1,
"_source": {
"name": "zhaoliu",
"age": 18,
"sex": "woman",
"birthday": "1998-01-02",
"hobby": "i like compute game"
}
......
}
}
]
}
}
query string search
搜索company中包含trivel的人员,而且按照年龄降序排序
GET /company/_search?q=hobby:trivel&sort=age:desc
注意:适用于临时的在命令行使用一些工具,比如curl,快速的发出请求,来检索想要的信息;但是如果查询请求很复杂,是很难去构建的
在生产环境中,几乎很少使用query string search
query DSL
a.查询所有的company所有员工
GET /company/_search
{
"query": { "match_all": {} }
}
b.查询hobby包含trivel的商品,同时按照age降序排序
GET /company/_search
{
"query" : {
"match" : {
"hobby" : "trivel"
}
},
"sort": [
{ "age": "desc" }
]
}
c.分页查询company,总共9条记录,假设每页就显示1条,现在显示第2页,所以就查出来第2个记录
GET company/_search
{
"query": { "match_all": {} },
"from": 1,
"size": 1
}
d.指定要查询出来记录的name和hobby就可以
GET company/_search
{
"query": { "match_all": {} },
"_source": ["name", "hobby"]
}
query filter
搜索hobby包含trivel,而且age大于23元的记录
GET /company/_search
{
"query" : {
"bool" : {
"must" : {
"match" : {
"hobby" : "trivel"
}
},
"filter" : {
"range" : {
"age" : { "gt" : 23 }
}
}
}
}
}
full-text search(全文检索)
GET /company/_search
{
"query" : {
"match" : {
"hobby" : "trivel"
}
}
}
phrase search
跟全文检索相对应,相反,全文检索会将输入的搜索串拆解开来,去倒排索引里面去一一匹配,只要能匹配上任意一个拆解后的单词,就可以作为结果返回
phrase search(短语搜索),要求输入的搜索串,必须在指定的字段文本中,完全包含一模一样的,才可以算匹配,才能作为结果返回
GET /company/_search
{
"query" : {
"match_phrase" : {
"hobby" : "and music"
}
}
}
查询结果
{
"took": 35,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 1.2320077,
"hits": [
{
"_index": "company",
"_type": "emp",
"_id": "7",
"_score": 1.2320077,
"_source": {
"name": "zhaowu",
"age": 31,
"sex": "man",
"birthday": "1997-01-02",
"hobby": "i like trivel and music"
}
}
]
}
}
highlight search(高亮搜索结果)
GET /company/_search
{
"query" : {
"match" : {
"hobby" : "trivel"
}
},
"highlight": {
"fields" : {
"hobby" : {}
}
}
}
查询结果
{
"took": 187,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 3,
"max_score": 0.86312973,
"hits": [
{
"_index": "company",
"_type": "emp",
"_id": "4",
"_score": 0.86312973,
"_source": {
"name": "wangba",
"age": 25,
"sex": "woman",
"birthday": "1996-01-02",
"hobby": "i like trivel"
},
"highlight": {
"hobby": [
"i like <em>trivel</em>"
]
}
},
{
"_index": "company",
"_type": "emp",
"_id": "7",
"_score": 0.6160039,
"_source": {
"name": "zhaowu",
"age": 31,
"sex": "man",
"birthday": "1997-01-02",
"hobby": "i like trivel and music"
},
"highlight": {
"hobby": [
"i like <em>trivel</em> and music"
]
}
},
{
"_index": "company",
"_type": "emp",
"_id": "3",
"_score": 0.25316024,
"_source": {
"name": "wangwu",
"age": 17,
"sex": "man",
"birthday": "1998-01-02",
"hobby": "i like trivel"
},
"highlight": {
"hobby": [
"i like <em>trivel</em>"
]
}
}
]
}
}