我已经使用此批量请求设法用4个文档填充了索引:
开机自检 localhost:9200/titles/movies/_bulk
{"index":{"_id":"1"}}
{"id": "1","level": "first","titles": [{"value": "The Bad and the Beautiful","type": "Catalogue","main": true},{"value": "The Bad and the Beautiful (1945)","type": "International","main": false}]}
{"index":{"_id":"2"}}
{"id": "2","level": "first","titles": [{"value": "Bad Day at Black Rock","type": "Drama","main": true}]}
{"index":{"_id":"3"}}
{"id": "3","level": "second","titles": [{"value": "Baker's Wife","type": "AnotherType","main": true},{"value": "Baker's Wife (1940)","type": "Trasmitted","main": false}]}
{"index":{"_id":"4"}}
{"id": "4","level": "second","titles": [{"value": "Bambi","type": "Educational","main": true},{"value": "The Baby Deer and the hunter (1942)","type": "Fantasy","main": false}]}
现在如何在所有可用 标题* 上使用 通配符 进行 搜索 ? ***
类似于 localhost:9200/titles/movies/_search?q=*&sort=level:asc
但提供一个或多个通配符的东西。例如,搜索“ The % the %
”并解析来自elasticsearch的响应以最终返回如下内容:
{
"count":2,
"results":[{
"id":"1",
"level":"first",
"foundInTitleTypes":["Catalogue","International"]
},{
"id":"4",
"level":"second",
"foundInTitleTypes":["Fantasy"]
}]
}
谢谢!
Elasticsearch在常规匹配查询中提供正则表达式支持
GET titles/movies/_search
{
"query": {
"match" : { "titles.value" : "The * the *" }
}
}
给你这个
{
"took": 4,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 1.6406528,
"hits": [
{
"_index": "titles",
"_type": "movies",
"_id": "4",
"_score": 1.6406528,
"_source": {
"id": "4",
"level": "second",
"titles": [
{
"value": "Bambi",
"type": "Educational",
"main": true
},
{
"value": "The Baby Deer and the hunter (1942)",
"type": "Fantasy",
"main": false
}
]
}
},
{
"_index": "titles",
"_type": "movies",
"_id": "1",
"_score": 0.9026783,
"_source": {
"id": "1",
"level": "first",
"titles": [
{
"value": "The Bad and the Beautiful",
"type": "Catalogue",
"main": true
},
{
"value": "The Bad and the Beautiful (1945)",
"type": "International",
"main": false
}
]
}
}
]
}
}
要更新到您的问题URI搜索,我不确定是否可行,如果使用curl进行操作,则只需将查询dsl省略为数据即可
curl localhost:9200/titles/movies/_search -d '{"query":{"match":{"titles.value":"The * the *"}}}'
{"took":46,"timed_out":false,"_shards":{"total":5,"successful":5,"failed":0},"hits":{"total":2,"max_score":1.6406528,"hits":[{"_index":"titles","_type":"movies","_id":"4","_score":1.6406528,"_source":{"id": "4","level": "second","titles": [{"value": "Bambi","type": "Educational","main": true},{"value": "The Baby Deer and the hunter (1942)","type": "Fantasy","main": false}]}},{"_index":"titles","_type":"movies","_id":"1","_score":0.9026783,"_source":{"id": "1","level": "first","titles": [{"value": "The Bad and the Beautiful","type": "Catalogue","main": true},{"value": "The Bad and the Beautiful (1945)","type": "International","main": false}]}}]}}
好吧,如果您想按级别排序,则需要为elasticsearch提供一个映射。我做了什么:
删除索引
DELETE titles
添加映射
PUT titles
{
"settings": {
"number_of_shards": 1
},
"mappings": {
"movies": {
"properties": {
"level": {
"type": "keyword"
}
}
}
}
}
优化查询DSL
GET titles/movies/_search
{
"_source": [
"id",
"level",
"titles.value"
],
"sort": [
{
"level": {
"order": "asc"
}
}
],
"query": {
"match": {
"titles.value": "The * the *"
}
}
}
那给我
{
"took": 4,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"failed": 0
},
"hits": {
"total": 2,
"max_score": null,
"hits": [
{
"_index": "titles",
"_type": "movies",
"_id": "1",
"_score": null,
"_source": {
"level": "first",
"id": "1",
"titles": [
{
"value": "The Bad and the Beautiful"
},
{
"value": "The Bad and the Beautiful (1945)"
}
]
},
"sort": [
"first"
]
},
{
"_index": "titles",
"_type": "movies",
"_id": "4",
"_score": null,
"_source": {
"level": "second",
"id": "4",
"titles": [
{
"value": "Bambi"
},
{
"value": "The Baby Deer and the hunter (1942)"
}
]
},
"sort": [
"second"
]
}
]
}
}
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