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Elasticsearch学习系列之多文档操作mget

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09/18
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测试数据

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"
]
}
}
]
}