和MySQL使用 LIMIT 关键字返回只有一页的结果一样，Elasticsearch接受 from 和 size 参数：

size: 结果数，默认10 
from: 跳过开始的结果数，默认0

如果想每页显示5个结果，页码从1到3，那请求如下：

GET /_search?size=5 
GET /_search?size=5&from=5 
GET /_search?size=5&from=10

注意：应该多注意分页太深或者一次请求太多的结果。结果在返回前会被排序。但是记住一个搜索请求常常涉及多个分片。每个分片生成自己排好序的结果，它们接着需要集中起来排序以确保整体排序正确。

当前数据库中的数据如下：

GET http://127.0.0.1:9200/test/user/_search?size=1#响应结果
{"took": 3,"timed_out": false,"_shards": {"total": 1,"successful": 1,"skipped": 0,"failed": 0},"hits": {"total": {"value": 4,"relation": "eq"},"max_score": 1.0,"hits": [{"_index": "test","_type": "user","_id": "QHi1UoIBpyNh4YQ4T1Sq","_score": 1.0,"_source": {"id": 1001,"name": "张三","age": 20,"sex": "男"}}]}
}

GET http://127.0.0.1:9200/test/user/_search?size=2&from=1# 响应数据
{"took": 1,"timed_out": false,"_shards": {"total": 1,"successful": 1,"skipped": 0,"failed": 0},"hits": {"total": {"value": 4,"relation": "eq"},"max_score": 1.0,"hits": [{"_index": "test","_type": "user","_id": "1002","_score": 1.0,"_source": {"id": 1002,"name": "李四","age": 23,"sex": "女"}},{"_index": "test","_type": "user","_id": "1003","_score": 1.0,"_source": {"id": 1003,"name": "王五","age": 27,"sex": "男"}}]}
}

# 当数据量不够时
GET http://127.0.0.1:9200/test/user/_search?size=6&from=1#响应数据
{"took": 1,"timed_out": false,"_shards": {"total": 1,"successful": 1,"skipped": 0,"failed": 0},"hits": {"total": {"value": 4,"relation": "eq"},"max_score": 1.0,"hits": [{"_index": "test","_type": "user","_id": "1002","_score": 1.0,"_source": {"id": 1002,"name": "李四","age": 23,"sex": "女"}},{"_index": "test","_type": "user","_id": "1003","_score": 1.0,"_source": {"id": 1003,"name": "王五","age": 27,"sex": "男"}},{"_index": "test","_type": "user","_id": "1004","_score": 1.0,"_source": {"id": 1004,"name": "赵六","age": 29,"sex": "女"}}]}
}

在集群系统中深度分页

        为了理解为什么深度分页是有问题的，让我们假设在一个有5个主分片的索引中搜索。当请求结果的第一 页（结果1到10）时，每个分片产生自己最顶端10个结果然后返回它们给请求节点(requesting node)，它再排序这所有的50个结果以选出顶端的10个结果。

        现在假设我们请求第1000页——结果10001到10010。工作方式都相同，不同的是每个分片都必须产生顶端的 10010个结果。然后请求节点排序这50050个结果并丢弃50040个！

        可以看到在分布式系统中，排序结果的花费随着分页的深入而成倍增长。这也是为什么网络搜索引擎中任何语句不能返回多于1000个结果的原因。如微博前端页面返回的页数只有50页，用工具是可以拿到50页以后的数据的。