#Elasticsearch# 文章列表 Elasticsearch 介绍 Elasticsearch 7:快速上手 Elasticsearch 7:关于 Index、Type、Document Elasticsearch 7:安装与启动 Elasticsearch 7:Kibana 的使用 Elasticsearch 7:下载历史版本 Elasticsearch 7:文档唯一性 Elasticsearch 7:默认端口与端口设置 Elasticsearch 7:创建和删除索引 Elasticsearch 7:自定义 mapping 和 settings Elasticsearch 7:设置索引副本数量和分片数量 Elasticsearch 7:查看所有索引 Elasticsearch 7:数据类型 Elasticsearch 7:字符串类型 keyword 、text Elasticsearch 7:数组 Elasticsearch 7:添加和更新文档 Elasticsearch 7:通过 _bulk 批量添加文档 Elasticsearch 7:使用 from 、size 进行分页查询 Elasticsearch 7:查询中使用 sort 进行排序 Elasticsearch 7:查询结果只展示部分字段 Elasticsearch 7:查询结果中展示 _version 字段 Elasticsearch 7:使用 ignore_above 限制字符串长度 Elasticsearch 7:动态映射 Elasticsearch 7:doc_values 属性 Elasticsearch 7:刷新周期 refresh_interval Elasticsearch 7:使用 _refresh 刷新索引 Elasticsearch 7:分片(shard)限制 Elasticsearch 7:使用 _cat thread_pool 查询线程池运行情况 Elasticsearch 7:事务日志 translog Elasticsearch 7:文档 _id 的长度限制 Elasticsearch 7:分片 shard Elasticsearch 7:滚动查询 Elasticsearch 7:聚合查询 Elasticsearch 7:索引模板 Elasticsearch 7:获取文档所属的 shard Elasticsearch 7:获取版本号 Elasticsearch 7:获取指定 shard 中的文档 Elasticsearch 7:获取 shard 统计信息 Elasticsearch 7:搜索实战 Elasticsearch 7:Python 客户端 Elasticsearch 7:Java TransportClient API 客户端 Elasticsearch 7:Java REST Client API 客户端 Elasticsearch:将 SQL 转换为 DSL Elasticsearch 6 快速上手 Elasticsearch 5 快速上手 Elasticsearch 5:禁止自动创建索引 Elasticsearch 5:禁止动态增加字段 Elasticsearch 产品版本支持周期 基于 Elasticsearch 的站内搜索引擎实战

Elasticsearch 7:查询中使用 sort 进行排序


#Elasticsearch#


按照字段值排序

创建索引:

PUT student
{
  "mappings" : {
    "properties" : {
      "name" : {
        "type" : "keyword"
      },
      "age" : {
        "type" : "integer"
      }
    }
  }
}

使用 _bulk 创建文档

POST _bulk
{ "index" : { "_index" : "student", "_id" : "1" } }
{ "name" : "张三", "age": 12}
{ "index" : { "_index" : "student", "_id" : "2" } }
{ "name" : "李四", "age": 10 }
{ "index" : { "_index" : "student", "_id" : "3" } }
{ "name" : "王五", "age": 11 }
{ "index" : { "_index" : "student", "_id" : "4" } }
{ "name" : "陈六", "age": 11 }

age 降序:

GET student/_search
{
  "query": {
    "match_all": {}
  }
  , 
  "sort": [
    {
      "age": { "order": "desc"}
    }
  ]
}

age降序,_id升序:

GET student/_search
{
  "query": {
    "match_all": {}
  }
  , 
  "sort": [
    {
      "age": { "order": "desc"}
    },
    {
      "_id": {"order" : "asc"}
    }
  ]
}

_id升序、age降序:

GET student/_search
{
  "query": {
    "match_all": {}
  }
  , 
  "sort": [
    {
      "_id": {"order" : "asc"}
    },
    {
      "age": { "order": "desc"}
    }
  ]
}

多字段值排序

如果某个字段是数组,也是可以排序的,不过需要指定 mode 。mode 支持 minmaxavgsum

# 删除之前建的 student
DELETE student
# 重建 student
PUT student
{
  "mappings" : {
    "properties" : {
      "name" : {
        "type" : "keyword"
      },
      "score" : {
        "type" : "integer"
      }
    }
  }
}

# 添加文档
POST _bulk
{ "index" : { "_index" : "student", "_id" : "1" } }
{ "name" : "张三", "score": [80, 90]}
{ "index" : { "_index" : "student", "_id" : "2" } }
{ "name" : "李四", "score": [78, 95] }

按照 score 的最小值排序:

# 请求
GET student/_search
{
  "query": {
    "match_all": {}
  },
  "sort": [
    {
      "score": {"order" : "asc", "mode": "min"}
    }
  ]
}

# 响应
{
  "took" : 16,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 2,
      "relation" : "eq"
    },
    "max_score" : null,
    "hits" : [
      {
        "_index" : "student",
        "_type" : "_doc",
        "_id" : "2",
        "_score" : null,
        "_source" : {
          "name" : "李四",
          "score" : [
            78,
            95
          ]
        },
        "sort" : [
          78
        ]
      },
      {
        "_index" : "student",
        "_type" : "_doc",
        "_id" : "1",
        "_score" : null,
        "_source" : {
          "name" : "张三",
          "score" : [
            80,
            90
          ]
        },
        "sort" : [
          80
        ]
      }
    ]
  }
}

( 本文完 )