ElasticSearch 搜索引擎入门到实战 4--文档简单搜索_elasticsearch搜索引擎构建入门与实战

先准备好数据

PUT /nba
 
put /nba/_mapping
{
  "properties": {
    "name": {
      "type": "text"
    },
    "team_name": {
      "type": "text"
    },
    "position": {
      "type": "text"
    },
    "play_year": {
      "type": "long"
    },
    "jerse_no": {
      "type": "keyword"
    }
  }
}
 
put nba/_doc/1
{
  "name": "哈登",
  "team_name": "火箭",
  "position": "得分后卫",
  "play_year": 10,
  "jerse_no": "13"
}
 
put nba/_doc/2
{
  "name": "库里",
  "team_name": "勇士",
  "position": "控球后卫",
  "play_year": 10,
  "jerse_no": "30"
}
 
put nba/_doc/3
{
  "name": "詹姆斯",
  "team_name": "湖人",
  "position": "小前锋",
  "play_year": 15,
  "jerse_no": "23"
}

term(词条)查询和full text(全文)查询

词条查询:词条查询不会分析查询条件，只有当词条和查询字符串完全匹配时，才匹配搜索。
全文查询:ElasticSearch引擎会先分析查询字符串，将其拆分成多个分词，只要已分析的字段中包含词条的任意一个，或全部包含，就匹配查询条件，返回该文档；如果不包含任意一个分词，表示没有任何文档匹配查询条件

个人总结
term查询，字段的类型为keyword或其它
全文查询，字段的类型一定要是text，可以分词，否则没意义


单条term查询

post /nba/_search
{
  "query": {
    "term": {
      "jerse_no": "23"
    }
  }
}

多条term查询

post /nba/_search
{
  "query": {
    "terms": {
      "jerse_no": [
        "23",
        "13"
      ]
    }
  }
}

match_all，测试结果 返回所有，from,size可以分页

post /nba/_search
{
  "query": {
    "match_all": {}
  },
  "from": 0,
  "size": 10
}

match，测试结果返回 id为1和2的记录

post /nba/_search
{
  "query": {
    "match": {
      "position": "后卫"
    }
  },
  "from": 0,
  "size": 10
}

POST /nba/_update/2
{
 "doc": {
 "name": "库⾥",
 "team_name": "勇⼠",
 "position": "控球后卫",
 "play_year": 10,
 "jerse_no": "30",
 "title": "the best shooter"
 }
}

multi_match 多字段搜索
multi_match多字段匹配的三种类型，分别是best_fields（最佳字段） 、 most_fields（多数字段） 和 cross_fields（跨字段）
best_fields类型，multi_match默认的查询类型，可以省略不写

post /nba/_search
{
  "query": {
    "multi_match": {
      "query": "卫",
      "fields": [
        "position"
      ],
      "type": "best_fields"
    }
  },
  "from": 0,
  "size": 10
}

match_pharse

post /nba/_search
{
  "query": {
    "match_phrase": {
      "position": "后卫"
    }
  },
  "from": 0,
  "size": 10
}

match_phrase_prefix 

post /nba/_search
{
  "query": {
    "match_phrase_prefix": {
      "position": "小"
    }
  },
  "from": 0,
  "size": 10
}