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API操作—— 新建或删除查询索引库

新建索引库

新建index，要向服务器发送一个PUT请求，下面是使用curl命令新建了一个名为test的index的例子

curl -XPUT 'localhost:9200/test'

Response：

{
    "acknowledged": true,
    "shards_acknowledged": true,
    "index": "test"
}

删除索引库

删除index，要向服务器发送一个delete请求，下面是删除上面的test的index的例子

curl -XDELETE 'http://localhost:9200/customer'

Response:

{
    "acknowledged": true
}

查询索引库

查询index，要发送一个HEAD请求，例子如下

curl -IHEAD 'localhost:9200/test'

Reponse:

HTTP/1.1 200 OK
content-type: application/json; charset=UTF-8
content-length: 359

API操作—— 创建映射关系

接下来的操作用curl比较不方便，复杂的内容使用PostMan进行操作，创建映射关系要使用PUT请求，如下json代码代表我定义了三个字段，分别是title，url和doc，他们的type属性即为数据类型，关于elasticsearch的数据类型这里不过多赘述，analyzer为ik_max_word代表使用了ik分词器的最粗粒度分词

PUT test/_mapping

{
    "properties": {
        "title": {
            "type": "text",
            "analyzer": "ik_max_word"
        },
        "url": {
            "type": "text"
        },
        "doc": {
            "type": "text",
            "analyzer": "ik_max_word"
        }
    }
}

Reponse:

{
    "acknowledged": true
}

API操作—— 查询映射关系

查询索引库的映射关系要使用GET请求，如下我查询了上面创建的映射关系

curl -XGET 'localhost:9200/test/_mapping'

Response:

{
  "test" : {
    "mappings" : {
      "properties" : {
        "doc" : {
          "type" : "text",
          "analyzer" : "ik_max_word"
        },
        "title" : {
          "type" : "text",
          "analyzer" : "ik_max_word"
        },
        "url" : {
          "type" : "text"
        }
      }
    }
  }
}

API操作—— 添加更新数据

添加数据

添加数据使用GET请求发送json数据，以上面的索引库为例，我添加以下数据

GET test/_doc

{
    "title": "PlumK's blog",
    "url": "plumk.site",
    "doc": "this is the content,这里是正文"
}

更新数据

更新数据需要知道数据的id，可以通过查找获得，其他的跟添加数据差不多，GET请求http://localhost:9200/test/_doc/bm87BW8BcAj1cF19_7Sfjson如下：（这里的bm87BW8BcAj1cF19_7Sf就是我上面插入数据的id）

GET test/_doc/bm87BW8BcAj1cF19_7Sf

{
    "title": "PlumK's blog",
    "url": "plumk.site",
    "doc": "this is the content,这里是修改后的正文"
}

Response:

{
    "_index": "test",
    "_type": "_doc",
    "_id": "bm87BW8BcAj1cF19_7Sf",
    "_version": 2,
    "result": "updated",
    "_shards": {
        "total": 2,
        "successful": 1,
        "failed": 0
    },
    "_seq_no": 1,
    "_primary_term": 1
}

API操作—— 删除数据

删除数据同样需要知道id，以删除上面的数据为例，对下面url发送DELETE请求：

localhost:9200/test/_doc/bm87BW8BcAj1cF19_7Sf

API操作—— 查询数据

match all查询

最基本的查询，他将返回所有结果，每个对象的得分为1

POST /test/_search

{
   "query":{
      "match_all":{}
   }
}

Response:

{
    "took": 9,
    "timed_out": false,
    "_shards": {
        "total": 1,
        "successful": 1,
        "skipped": 0,
        "failed": 0
    },
    "hits": {
        "total": {
            "value": 1,
            "relation": "eq"
        },
        "max_score": 1.0,
        "hits": [
            {
                "_index": "test",
                "_type": "_doc",
                "_id": "bm87BW8BcAj1cF19_7Sf",
                "_score": 1.0,
                "_source": {
                    "title": "PlumK's blog",
                    "url": "plumk.site",
                    "doc": "this is the content,这里是正文"
                }
            }
        ]
    }
}

match查询

match查询返回match中属性相同的条目，下面如果url为plumk就查询不到了，也就是说必须属性完全相同

POST test/_search

{
    "query": {
        "match": {
            "url": "plumk.site"
        }
    }
}

Reponse:

{
    "took": 11,
    "timed_out": false,
    "_shards": {
        "total": 1,
        "successful": 1,
        "skipped": 0,
        "failed": 0
    },
    "hits": {
        "total": {
            "value": 1,
            "relation": "eq"
        },
        "max_score": 0.2876821,
        "hits": [
            {
                "_index": "test",
                "_type": "_doc",
                "_id": "bm87BW8BcAj1cF19_7Sf",
                "_score": 0.2876821,
                "_source": {
                    "title": "PlumK's blog",
                    "url": "plumk.site",
                    "doc": "this is the content,这里是修改后的正文"
                }
            }
        ]
    }
}

Query String查询

该查询使用查询解析器和query_string关键字。例如下：

POST test/_search

{
    "query": {
        "query_string": {
            "query": "plumk"
        }
    }
}

Response:

{
    "took": 25,
    "timed_out": false,
    "_shards": {
        "total": 1,
        "successful": 1,
        "skipped": 0,
        "failed": 0
    },
    "hits": {
        "total": {
            "value": 1,
            "relation": "eq"
        },
        "max_score": 0.2876821,
        "hits": [
            {
                "_index": "test",
                "_type": "_doc",
                "_id": "bm87BW8BcAj1cF19_7Sf",
                "_score": 0.2876821,
                "_source": {
                    "title": "PlumK's blog",
                    "url": "plumk.site",
                    "doc": "this is the content,这里是修改后的正文"
                }
            }
        ]
    }
}

设置最小匹配度查询

设置minimum_should_match字段，如果满足这个匹配度就会被查询出来，不多废话，看例子

GET test/_search

{
  "query": {
    "match": {
      "title":{"query": "plumk的博客","minimum_should_match": "50%"}
    }
  }
}

多字段查询

这里尝试在url和title中搜索plumk

GET test/_search

{
  "query": {
    "multi_match": {
        "query": "plumk",
        "fields": ["url", "title"]  
    }
  }
}

接下来的查询我接下来可能使用不到，但是考虑到会有同样刚入门的小白看到这篇博客，所以这里我还是从网上摘抄以下

Term查询

这些查询主要处理数字、日期等结构化数据。如下：

POST /schools/_search

{
   "query":{
      "term":{"zip":"176115"}
   }
}

Reponse:

{
   "took":1, "timed_out":false, "_shards":{"total":10, "successful":10, "failed":0},
   "hits":{
      "total":1, "max_score":0.30685282, "hits":[{
         "_index":"schools", "_type":"school", "_id":"1", "_score":0.30685282,
         "_source":{
            "name":"Central School", "description":"CBSE Affiliation",
            "street":"Nagan", "city":"paprola", "state":"HP", "zip":"176115",
            "location":[31.8955385, 76.8380405], "fees":2200, 
            "tags":["Senior Secondary", "beautiful campus"], "rating":"3.3"
         }
      }]
   }
}

Range查询

该查询用于查找值在值范围之间的对象。为此，我们需要使用如下运算符

gte:大于等于
gt:大于
lte:小于等于
lt:小于

POST /schools*/_search

{
   "query":{
      "range":{
         "rating":{
            "gte":3.5
         }
      }
   }
}

Response:

{
   "took":31, "timed_out":false, "_shards":{"total":10, "successful":10, "failed":0},
   "hits":{
      "total":3, "max_score":1.0, "hits":[
         {
            "_index":"schools", "_type":"school", "_id":"2", "_score":1.0,
            "_source":{
               "name":"Saint Paul School", "description":"ICSE Affiliation",
               "street":"Dawarka", "city":"Delhi", "state":"Delhi", 
               "zip":"110075", "location":[28.5733056, 77.0122136], "fees":5000, 
               "tags":["Good Faculty", "Great Sports"], "rating":"4.5"
            }
         }, 
         {
            "_index":"schools_gov", "_type":"school", "_id":"2", "_score":1.0, 
            "_source":{
               "name":"Government School", "description":"State Board Affiliation",
               "street":"Hinjewadi", "city":"Pune", "state":"MH", "zip":"411057",
               "location":[18.599752, 73.6821995] "fees":500, 
               "tags":["Great Sports"], "rating":"4"
            }
         },
         {
            "_index":"schools", "_type":"school", "_id":"3", "_score":1.0,
            "_source":{
               "name":"Crescent School", "description":"State Board Affiliation",
               "street":"Tonk Road", "city":"Jaipur", "state":"RJ", "zip":"176114", 
               "location":[26.8535922, 75.7923988], "fees":2500,
               "tags":["Well equipped labs"], "rating":"4.5"
            }
         }
      ]
   }
}

复合查询

这个比较复杂，这里也不过多赘述，可以去看这个博客

此外还有Joining查询，这个涉及到嵌套映射，就不展开讲了，还有地理查询，暂时用不到，可以去看官方文档

未完待续。。。

elasticsearch 7.5.0 学习笔记

API操作—— 新建或删除查询索引库

新建索引库

删除索引库

查询索引库

API操作—— 创建映射关系

API操作—— 查询映射关系

API操作—— 添加更新数据

添加数据

更新数据

API操作—— 删除数据

API操作—— 查询数据

match all查询

match查询

Query String查询

设置最小匹配度查询

多字段查询

Term查询

Range查询

复合查询

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