es的text类型的排序问题

es版本6.8.4
解决方式:对字段索引两次,一次索引分词(用于搜索)一次索引不分词(用于排序)

  • 字符串类型排序报错演示:
##mapping创建
PUT test_text_sort
{
  "mappings": {
    "doc": {
      "properties": {
        "name": {
          "type": "text"
        }
      }
    }
  }, 
  "settings": {
    "number_of_replicas": 0,
    "number_of_shards": 1
  }
}
##插入数据
PUT test_text_sort/doc/1
{
  "name":"aaaaa 1"
}
PUT test_text_sort/doc/2
{
  "name":"aaaaa 2"
}
PUT test_text_sort/doc/3
{
  "name":"aaaaa 3"
}

##查询并排序
GET test_text_sort/doc/_search
{
  "query": {
    "match_all": {}
  },
  "sort": [
    {
      "name": {
        "order": "desc"
      }
    }
  ]
}
>>>结果报错
{
  "error": {
    "root_cause": [
      {
        "type": "illegal_argument_exception",
        "reason": "Fielddata is disabled on text fields by default. Set fielddata=true on [name] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory. Alternatively use a keyword field instead."
      }
    ],
    "type": "search_phase_execution_exception",
    "reason": "all shards failed",
    "phase": "query",
    "grouped": true,
    "failed_shards": [
      {
        "shard": 0,
        "index": "test_text_sort",
        "node": "0MqXXcTVQKySTK81OiGp_Q",
        "reason": {
          "type": "illegal_argument_exception",
          "reason": "Fielddata is disabled on text fields by default. Set fielddata=true on [name] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory. Alternatively use a keyword field instead."
        }
      }
    ],
    "caused_by": {
      "type": "illegal_argument_exception",
      "reason": "Fielddata is disabled on text fields by default. Set fielddata=true on [name] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory. Alternatively use a keyword field instead.",
      "caused_by": {
        "type": "illegal_argument_exception",
        "reason": "Fielddata is disabled on text fields by default. Set fielddata=true on [name] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory. Alternatively use a keyword field instead."
      }
    }
  },
  "status": 400
}
  • 字符串类型排序实现演示
##删除索引
DELETE test_text_sort

## mapping创建
PUT test_text_sort
{
  "mappings": {
    "doc": {
      "properties": {
        "name": {
          "type": "text",
          "fields":{
            "row":{
                "type":"keyword" 
            }
          },
          "fielddata":true
        }
      }
    }
  }, 
  "settings": {
    "number_of_replicas": 0,
    "number_of_shards": 1
  }
}

##准备数据
PUT test_text_sort/doc/1
{
  "name":"aaaaa 1"
}
PUT test_text_sort/doc/2
{
  "name":"aaaaa 2"
}
PUT test_text_sort/doc/3
{
  "name":"aaaaa 3"
}

## 查询方式一(错误)
GET test_text_sort/doc/_search
{
  "query": {
    "match_all": {}
  },
  "sort": [
    {
      "name": {
        "order": "desc"
      }
    }
  ]
}
>>>查询结果
{
  "took" : 1,
  "timed_out" : false,
  "_shards" : {
    "total" : 3,
    "successful" : 3,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : 3,
    "max_score" : null,
    "hits" : [
      {
        "_index" : "test_text_sort",
        "_type" : "doc",
        "_id" : "2",
        "_score" : null,
        "_source" : {
          "name" : "aaaaa 2"
        },
        "sort" : [
          "aaaaa"
        ]
      },
      {
        "_index" : "test_text_sort",
        "_type" : "doc",
        "_id" : "1",
        "_score" : null,
        "_source" : {
          "name" : "aaaaa 1"
        },
        "sort" : [
          "aaaaa"
        ]
      },
      {
        "_index" : "test_text_sort",
        "_type" : "doc",
        "_id" : "3",
        "_score" : null,
        "_source" : {
          "name" : "aaaaa 3"
        },
        "sort" : [
          "aaaaa"
        ]
      }
    ]
  }
}

##查询方式二 (正确)
GET test_text_sort/doc/_search
{
  "query": {
    "match_all": {}
  },
  "sort": [
    {
      "name.row": {
        "order": "desc"
      }
    }
  ]
}
>>>查询结果
{
  "took" : 2,
  "timed_out" : false,
  "_shards" : {
    "total" : 3,
    "successful" : 3,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : 3,
    "max_score" : null,
    "hits" : [
      {
        "_index" : "test_text_sort",
        "_type" : "doc",
        "_id" : "3",
        "_score" : null,
        "_source" : {
          "name" : "aaaaa 3"
        },
        "sort" : [
          "aaaaa 3"
        ]
      },
      {
        "_index" : "test_text_sort",
        "_type" : "doc",
        "_id" : "2",
        "_score" : null,
        "_source" : {
          "name" : "aaaaa 2"
        },
        "sort" : [
          "aaaaa 2"
        ]
      },
      {
        "_index" : "test_text_sort",
        "_type" : "doc",
        "_id" : "1",
        "_score" : null,
        "_source" : {
          "name" : "aaaaa 1"
        },
        "sort" : [
          "aaaaa 1"
        ]
      }
    ]
  }
}

另外:通过es默认创建text字段时的结构可以看出,默认创建的额text字段也是通过这种方式来实现text类型的排序的

##直接让es默认创建index并实现默认的mapping
PUT defult_text/doc/1
{
  "name":"wangfei"
}

##查看mapping
GET defult_text/_mapping
>>>查看结果
{
  "defult_text" : {
    "mappings" : {
      "doc" : {
        "properties" : {
          "name" : {
            "type" : "text",
            "fields" : {
              "keyword" : {
                "type" : "keyword",
                "ignore_above" : 256
              }
            }
          }
        }
      }
    }
  }
}

##添加两条数据
PUT defult_text/doc/1
{
  "name":"wangjifei"
}

PUT defult_text/doc/2
{
  "name":"angjifei"
}

## 排序查询,可以实现对text类型字段的排序
GET defult_text/doc/_search
{
  "query": {
    "match_all": {}
  },
  "sort": [
    {
      "name.keyword": {
        "order": "asc"
      }
    }
  ]
}
>>>查看结果
{
  "took" : 0,
  "timed_out" : false,
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : 2,
    "max_score" : null,
    "hits" : [
      {
        "_index" : "defult_text",
        "_type" : "doc",
        "_id" : "1",
        "_score" : null,
        "_source" : {
          "name" : "wangjifei"
        },
        "sort" : [
          "wangjifei"
        ]
      },
      {
        "_index" : "defult_text",
        "_type" : "doc",
        "_id" : "2",
        "_score" : null,
        "_source" : {
          "name" : "angjifei"
        },
        "sort" : [
          "angjifei"
        ]
      }
    ]
  }
}
最后编辑于
©著作权归作者所有,转载或内容合作请联系作者
  • 序言:七十年代末,一起剥皮案震惊了整个滨河市,随后出现的几起案子,更是在滨河造成了极大的恐慌,老刑警刘岩,带你破解...
    沈念sama阅读 205,236评论 6 478
  • 序言:滨河连续发生了三起死亡事件,死亡现场离奇诡异,居然都是意外死亡,警方通过查阅死者的电脑和手机,发现死者居然都...
    沈念sama阅读 87,867评论 2 381
  • 文/潘晓璐 我一进店门,熙熙楼的掌柜王于贵愁眉苦脸地迎上来,“玉大人,你说我怎么就摊上这事。” “怎么了?”我有些...
    开封第一讲书人阅读 151,715评论 0 340
  • 文/不坏的土叔 我叫张陵,是天一观的道长。 经常有香客问我,道长,这世上最难降的妖魔是什么? 我笑而不...
    开封第一讲书人阅读 54,899评论 1 278
  • 正文 为了忘掉前任,我火速办了婚礼,结果婚礼上,老公的妹妹穿的比我还像新娘。我一直安慰自己,他们只是感情好,可当我...
    茶点故事阅读 63,895评论 5 368
  • 文/花漫 我一把揭开白布。 她就那样静静地躺着,像睡着了一般。 火红的嫁衣衬着肌肤如雪。 梳的纹丝不乱的头发上,一...
    开封第一讲书人阅读 48,733评论 1 283
  • 那天,我揣着相机与录音,去河边找鬼。 笑死,一个胖子当着我的面吹牛,可吹牛的内容都是我干的。 我是一名探鬼主播,决...
    沈念sama阅读 38,085评论 3 399
  • 文/苍兰香墨 我猛地睁开眼,长吁一口气:“原来是场噩梦啊……” “哼!你这毒妇竟也来了?” 一声冷哼从身侧响起,我...
    开封第一讲书人阅读 36,722评论 0 258
  • 序言:老挝万荣一对情侣失踪,失踪者是张志新(化名)和其女友刘颖,没想到半个月后,有当地人在树林里发现了一具尸体,经...
    沈念sama阅读 43,025评论 1 300
  • 正文 独居荒郊野岭守林人离奇死亡,尸身上长有42处带血的脓包…… 初始之章·张勋 以下内容为张勋视角 年9月15日...
    茶点故事阅读 35,696评论 2 323
  • 正文 我和宋清朗相恋三年,在试婚纱的时候发现自己被绿了。 大学时的朋友给我发了我未婚夫和他白月光在一起吃饭的照片。...
    茶点故事阅读 37,816评论 1 333
  • 序言:一个原本活蹦乱跳的男人离奇死亡,死状恐怖,灵堂内的尸体忽然破棺而出,到底是诈尸还是另有隐情,我是刑警宁泽,带...
    沈念sama阅读 33,447评论 4 322
  • 正文 年R本政府宣布,位于F岛的核电站,受9级特大地震影响,放射性物质发生泄漏。R本人自食恶果不足惜,却给世界环境...
    茶点故事阅读 39,057评论 3 307
  • 文/蒙蒙 一、第九天 我趴在偏房一处隐蔽的房顶上张望。 院中可真热闹,春花似锦、人声如沸。这庄子的主人今日做“春日...
    开封第一讲书人阅读 30,009评论 0 19
  • 文/苍兰香墨 我抬头看了看天上的太阳。三九已至,却和暖如春,着一层夹袄步出监牢的瞬间,已是汗流浃背。 一阵脚步声响...
    开封第一讲书人阅读 31,254评论 1 260
  • 我被黑心中介骗来泰国打工, 没想到刚下飞机就差点儿被人妖公主榨干…… 1. 我叫王不留,地道东北人。 一个月前我还...
    沈念sama阅读 45,204评论 2 352
  • 正文 我出身青楼,却偏偏与公主长得像,于是被迫代替她去往敌国和亲。 传闻我的和亲对象是个残疾皇子,可洞房花烛夜当晚...
    茶点故事阅读 42,561评论 2 343