转自：https://www.cnblogs.com/zhaijunming5/p/6424800.html
GET /library/books/1
{
"_index": "library",
"_type": "books",
"_id": "1",
"_version": 1,
"found": true,
"_source": {
"title": "Elasticsearch:the definitive guide",
"name": {
"first": "zachary",
"last": "tong"
},
"publish_date": "2017-02-19",
"price": "49.99"
}
}
GET /library/books/2
{
"_index": "library",
"_type": "books",
"_id": "2",
"_version": 1,
"found": true,
"_source": {
"title": "Elasticsearch:the definitive guide",
"name": {
"first": "zachary",
"last": "tong"
},
"publish_date": "2017-02-19",
"price": "59.99"
}
}
multi get
多字段查询可以设置多个文档查询条件，每个查询条件在结构上都比较类似
GET /_mget
{
"docs": [
{
"_index" : "library",
"_type" : "books",
"_id" : "1"
},
{
"_index" : "library",
"_type" : "books",
"_id" : "2"
}
]
}
当然，在查询条件中，body中_index字段也可以放在查询字符串中
GET /library/_mget
{
"docs": [
{
"_type" : "books",
"_id" : "1"
},
{
"_type" : "books",
"_id" : "2"
}
]
}
对于type也是一样:
GET /library/books/_mget
{
"docs": [
{
"_id" : "1"
},
{
"_id" : "2"
}
]
}
如果索引和类型都放在查询URL中，那么字段ID就可以放在一个数组中:
GET /library/books/_mget
{
"ids" : ["1","2"]
}
如果想要查询不通类型的相同ID,就需要指定类型名称
GET /test/_mget/
{
"docs" : [
{
"_type":"typeA",
"_id" : "1"
},
{
"_type":"typeB",
"_id" : "1"
}
]
}
#这个例子不适用上面的测试数据
Fields过滤
fields过滤是获取指定的字段
代码
GET /_mget
{
"docs" : [
{
"_index":"library",
"_type" : "books",
"_id" : "1",
"fields" : ["publish_date","price"]
},
{
"_index":"library",
"_type" : "books",
"_id" : "2",
"fields" : ["publish_date","price"]
}
]
}
结果
{
"docs": [
{
"_index": "library",
"_type": "books",
"_id": "1",
"_version": 1,
"found": true,
"fields": {
"publish_date": [
"2017-02-19"
],
"price": [
"49.99"
]
}
},
{
"_index": "library",
"_type": "books",
"_id": "2",
"_version": 1,
"found": true,
"fields": {
"publish_date": [
"2017-02-19"
],
"price": [
"59.99"
]
}
}
]
}
