Elasticsearch的SearchAfter

Elasticsearch使用Search After深度分页，分页的方式是上一页的最后一条数据sort里面的值来确定下一页的位置，在分页请求的过程中，有索引数据的增删，会实时的反映到游标上。每一页的数据依赖于上一页最后一条数据，所以不能跳页请求;

使用search_after必须要设置from=0;

最后一条数据里拿到sort属性的值传入到search_after;

curl 第一次请求：

index/type/_search?pretty -d
{
  "size": 10,
  "query": {
    "match": {
      "age": "男"
    }
  },
  "sort": [{
    "_uid": {
      "order": "desc"
    }
  }]
}

返回：

{
  "took": 28,
  "timed_out": false,
  "_shards": {
    "total": 5,
    "successful": 5,
    "skipped": 0,
    "failed": 0
  },
  "hits": {
    "total": 286,
    "max_score": null,
    "hits": [{
      "_index": "user_member",
      "_type": "member_itu",
      "_id": "123465",
      "_score": null,
      "_source": {
        "userId": "123456",
        "name": "123",
        "updateTime": "2022-12-09 13:05"
      },
      "sort": [
        "123465"
      ]
    }]
  }
}

curl 分页第二次请求：

index/type/_search?pretty -d
{
  "size": 10,
  "search_after": ["123456"],
  "query": {
    "match": {
      "age": "男"
    }
  },
  "sort": [{
    "_uid": {
      "order": "desc"
    }
  }]
}

分页返回：

{
  "took": 28,
  "timed_out": false,
  "_shards": {
    "total": 5,
    "successful": 5,
    "skipped": 0,
    "failed": 0
  },
  "hits": {
    "total": 286,
    "max_score": null,
    "hits": [{
      "_index": "user_member",
      "_type": "member_itu",
      "_id": "123457",
      "_score": null,
      "_source": {
        "userId": "123457",
        "name": "124",
        "updateTime": "2022-12-09 14:05"
      },
      "sort": [
        "123457"
      ]
    }]
  }
}