一、作用
一次连接，执行多条query语句（单个api请求中执行多个搜索）；与_mget指定id查询类似，可缩减网络开销；对于ES服务器端相对于同时收到多个请求，并没有减少太多查询耗时。
二、语法
1、请求格式(JSON)
如：
{}
{“query”:{}}
{}
{“query”:{}}
…
…
…
…
注意：
1、严格按照格式组装数据，一条语句一行，最后必须以换行符(\n)结尾
2、header和body是成对出现，即使header无内容也要保留“{}”并与换行结束
2、返回格式
{
“responses”:[,, …]
}
3、详见官网
https://www.elastic.co/guide/en/elasticsearch/reference/current/search-multi-search.html#search-multi-search
三、DEMO
1、数据准备
// 创建两个索引，并添加数据
PUT my_test1
{
"mappings": {
"my_doc": {
"properties": {
"id": {
"type": "text"
},
"name": {
"type": "text"
},
"age": {
"type": "integer"
}
}
}
}
}
PUT my_test2
{
"mappings": {
"my_doc": {
"properties": {
"id": {
"type": "text"
},
"name": {
"type": "text"
},
"age": {
"type": "integer"
}
}
}
}
}
POST /my_test1/my_doc/1
{
"id": "1",
"name": "张三",
"age": "20"
}
POST /my_test1/my_doc/2
{
"id": "2",
"name": "李四",
"age": "21"
}
POST /my_test2/my_doc/3
{
"id": "3",
"name": "王五",
"age": "25"
}
POST /my_test2/my_doc/4
{
"id": "4",
"name": "赵六",
"age": "22"
}
2、指定index
// 查询
POST /my_test1/my_doc/_msearch
{
}
{
"query":{
"match_all":{
}}}
{
}
{
"query":{
"match":{
"name":"张三"}}}
// 结果：
{
"responses": [
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 1,
"hits": [
{
"_index": "my_test1",
"_type": "my_doc",
"_id": "2",
"_score": 1,
"_source": {
"id": "2",
"name": "李四",
"age": "21"
}
},
{
"_index": "my_test1",
"_type": "my_doc",
"_id": "1",
"_score": 1,
"_source": {
"id": "1",
"name": "张三",
"age": "20"
}
}
]
},
"status": 200
},
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 0.51623213,
"hits": [
{
"_index": "my_test1",
"_type": "my_doc",
"_id": "1",
"_score": 0.51623213,
"_source": {
"id": "1",
"name": "张三",
"age": "20"
}
}
]
},
"status": 200
}
]
}
3、多个index
// 查询
POST /_msearch
{
"index":"my_test1"}
{
"query":{
"match_all":{
}}}
{
"index":"my_test2"}
{
"query":{
"match":{
"name":"赵六"}}}
// 结果：
{
"responses": [
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 2,
"max_score": 1,
"hits": [
{
"_index": "my_test1",
"_type": "my_doc",
"_id": "2",
"_score": 1,
"_source": {
"id": "2",
"name": "李四",
"age": "21"
}
},
{
"_index": "my_test1",
"_type": "my_doc",
"_id": "1",
"_score": 1,
"_source": {
"id": "1",
"name": "张三",
"age": "20"
}
}
]
},
"status": 200
},
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 0.51623213,
"hits": [
{
"_index": "my_test2",
"_type": "my_doc",
"_id": "4",
"_score": 0.51623213,
"_source": {
"id": "4",
"name": "赵六",
"age": "22"
}
}
]
},
"status": 200
}
]
}
今天的文章Elasticsearch Multi Search(_msearch)分享到此就结束了，感谢您的阅读。
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