学习ElasticSearch：对文档的增删改查

柔情只为你懂 2023-06-16 05:57 90阅读 0赞

*  这里我们以索引库index为例子，依然是使用postman发送json数据来完成  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDU4ODQ5NQ_size_16_color_FFFFFF_t_70]

### 1、增 ###

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDU4ODQ5NQ_size_16_color_FFFFFF_t_70 1]

*  1是指文档的的\_id，并不是下面的id，一般\_id与id相同

{ 
    	"id":1,
    	"title":"我是一个标题1",
    	"content":"我是内容1"
    }

*  得到结果，成功

{ 
        "_index": "index",
        "_type": "1",
        "_id": "AW6dhLRtj92VZTE9RyoB",
        "_version": 1,
        "result": "created",
        "_shards": { 
            "total": 2,
            "successful": 1,
            "failed": 0
        },
        "created": true
    }

![在这里插入图片描述][20191124211137894.png]

### 2、删 ###

![在这里插入图片描述][20191124211522161.png]

*  返回json

{ 
        "found": true,
        "_index": "index",
        "_type": "1",
        "_id": "AW6dhLRtj92VZTE9RyoB",
        "_version": 2,
        "result": "deleted",
        "_shards": { 
            "total": 2,
            "successful": 1,
            "failed": 0
        }
    }

*  这里后面的数字是\_id

### 3、改 ###

*  这里的原理是：先删除再添加，这里直接可以执行添加操作，就会先删除再添加
 *  修改之前  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDU4ODQ5NQ_size_16_color_FFFFFF_t_70 2]  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDU4ODQ5NQ_size_16_color_FFFFFF_t_70 3]
 *  返回json

{ 
        "_index": "index",
        "_type": "hello",
        "_id": "1",
        "_version": 2,
        "result": "updated",
        "_shards": { 
            "total": 2,
            "successful": 1,
            "failed": 0
        },
        "created": false
    }

*  查看数据  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDU4ODQ5NQ_size_16_color_FFFFFF_t_70 4]

### 4、根据id查询 ###

![在这里插入图片描述][20191124212942111.png]

*  将请求改为get就是查询
 *  返回的json数据

{ 
    	"_index": "index",
    	"_type": "hello",
    	"_id": "1",
    	"_version": 2,
    	"found": true,
    	"_source": { 
    		"id": 1,
    		"title": "修改之后的文档",
    		"content": "修改之后的内容"
    	}
    }

### 5、根据关键词查询 ###

*  这里是post请求  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDU4ODQ5NQ_size_16_color_FFFFFF_t_70 5]

{ 
    	"query":{ 
    		"term":{ 
    			"title":"修"
    		}
    	}
    }

*  其中query和term都是关键字.，这里的查询只能输入一个汉字
 *  返回json

{ 
    	"took": 127,
    	"timed_out": false,
    	"_shards": { 
    		"total": 5,
    		"successful": 5,
    		"skipped": 0,
    		"failed": 0
    	},
    	"hits": { 
    		"total": 2,
    		"max_score": 0.28582606,
    		"hits": [
    			{ 
    				"_index": "index",
    				"_type": "hello",
    				"_id": "1",
    				"_score": 0.28582606,
    				"_source": { 
    					"id": 1,
    					"title": "修改之后的文档",
    					"content": "修改之后的内容"
    				}
    			},
    			{ 
    				"_index": "index",
    				"_type": "hello",
    				"_id": "3",
    				"_score": 0.25811607,
    				"_source": { 
    					"id": 1,
    					"title": "修改之后的文档as12d",
    					"content": "修改之后的内12容"
    				}
    			}
    		]
    	}
    }

### 6、使用queryString查询 ###

*  使用这个会进行分词，跟上面分词查询是一样的。  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3dlaXhpbl80NDU4ODQ5NQ_size_16_color_FFFFFF_t_70 6]
 *  返回的json

{ 
    	"took": 125,
    	"timed_out": false,
    	"_shards": { 
    		"total": 5,
    		"successful": 5,
    		"skipped": 0,
    		"failed": 0
    	},
    	"hits": { 
    		"total": 2,
    		"max_score": 0.5716521,
    		"hits": [
    			{ 
    				"_index": "index",
    				"_type": "hello",
    				"_id": "1",
    				"_score": 0.5716521,
    				"_source": { 
    					"id": 1,
    					"title": "修改之后的文档",
    					"content": "修改之后的内容"
    				}
    			},
    			{ 
    				"_index": "index",
    				"_type": "hello",
    				"_id": "3",
    				"_score": 0.51623213,
    				"_source": { 
    					"id": 1,
    					"title": "修改之后的文档as12d",
    					"content": "修改之后的内12容"
    				}
    			}
    		]
    	}
    }

### 7、扩展 ###

*  查看分词器中的分词效果
 *  输入http://127.0.0.1:9200/\_analyze?analyzer=standard&text=
 *  其中text后面加英文或者中文

#### 对于英文的支持 ####

{ 
        "tokens": [
            { 
                "token": "i",
                "start_offset": 0,
                "end_offset": 1,
                "type": "<ALPHANUM>",
                "position": 0
            },
            { 
                "token": "am",
                "start_offset": 2,
                "end_offset": 4,
                "type": "<ALPHANUM>",
                "position": 1
            },
            { 
                "token": "a",
                "start_offset": 5,
                "end_offset": 6,
                "type": "<ALPHANUM>",
                "position": 2
            },
            { 
                "token": "hbu",
                "start_offset": 7,
                "end_offset": 10,
                "type": "<ALPHANUM>",
                "position": 3
            },
            { 
                "token": "student",
                "start_offset": 11,
                "end_offset": 18,
                "type": "<ALPHANUM>",
                "position": 4
            }
        ]
    }

#### 对于中文的支持 ####

{ 
        "tokens": [
            { 
                "token": "我",
                "start_offset": 0,
                "end_offset": 1,
                "type": "<IDEOGRAPHIC>",
                "position": 0
            },
            { 
                "token": "是",
                "start_offset": 1,
                "end_offset": 2,
                "type": "<IDEOGRAPHIC>",
                "position": 1
            },
            { 
                "token": "河",
                "start_offset": 2,
                "end_offset": 3,
                "type": "<IDEOGRAPHIC>",
                "position": 2
            },
            { 
                "token": "北",
                "start_offset": 3,
                "end_offset": 4,
                "type": "<IDEOGRAPHIC>",
                "position": 3
            },
            { 
                "token": "大",
                "start_offset": 4,
                "end_offset": 5,
                "type": "<IDEOGRAPHIC>",
                "position": 4
            },
            { 
                "token": "学",
                "start_offset": 5,
                "end_offset": 6,
                "type": "<IDEOGRAPHIC>",
                "position": 5
            },
            { 
                "token": "青",
                "start_offset": 6,
                "end_offset": 7,
                "type": "<IDEOGRAPHIC>",
                "position": 6
            },
            { 
                "token": "年",
                "start_offset": 7,
                "end_offset": 8,
                "type": "<IDEOGRAPHIC>",
                "position": 7
            }
        ]
    }

*  实际上这种对于中文是非常不好的，因此在实际开发中我们不使用标准的分词器

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