ElasticSearch 官网测试数据

太过爱你忘了你带给我的痛 2023-01-16 11:13 110阅读 0赞

一） 准备测试数据  
去官网下载测试数据  
[https://download.elastic.co/demos/kibana/gettingstarted/logs.jsonl.gz][https_download.elastic.co_demos_kibana_gettingstarted_logs.jsonl.gz]  
[https://download.elastic.co/demos/kibana/gettingstarted/accounts.zip][https_download.elastic.co_demos_kibana_gettingstarted_accounts.zip]  
[https://download.elastic.co/demos/kibana/gettingstarted/shakespeare\_6.0.json][https_download.elastic.co_demos_kibana_gettingstarted_shakespeare_6.0.json]  
二） 解压数据到目录  
本次操作在虚拟中，我的解压地址是：  
![在这里插入图片描述][55bf14d4beb983542f33ad24b0b3e645.png]  
三）数据导入  
3.1 打开Kibana的Dev Tools  
![在这里插入图片描述][27515b6217f2a03fb71594e367b2cb88.png]  
3.2 创建三份测试数据对应的mapping  
//莎士比亚的mapping

PUT /shakespeare
    {
     "mappings": {
      "doc": {
       "properties": {
        "speaker": {"type": "keyword"},
        "play_name": {"type": "keyword"},
        "line_id": {"type": "integer"},
        "speech_number": {"type": "integer"}
       }
      }
     }
    
    //log的测试数据的mapping
    
    
    PUT /logstash-2019.01.21
    {
      "mappings": {
        "log": {
          "properties": {
            "geo": {
              "properties": {
                "coordinates": {
                  "type": "geo_point"
                }
              }
            }
          }
        }
      }
    }
    
    
    PUT /logstash-2019.01.20
    {
      "mappings": {
        "log": {
          "properties": {
            "geo": {
              "properties": {
                "coordinates": {
                  "type": "geo_point"
                }
              }
            }
          }
        }
      }
    }
    PUT /logstash-2019.01.22
    {
      "mappings": {
        "log": {
          "properties": {
            "geo": {
              "properties": {
                "coordinates": {
                  "type": "geo_point"
                }
              }
            }
          }
        }
      }
    }

执行上面的语句  
![在这里插入图片描述][5a1c631bc829290330fe810f108432bd.png]  
执行结果  
![在这里插入图片描述][20faeb7bc3dc35ca1a00d5a5ff9184ef.png]  
导入数据：  
WINDOWS: 在任意地方启动cmd，输入下面命令  
linux ：进入任意目录

*  (前提是安装了curl)
 *  官网给的是单引号，但是单引号在win系统下运行会出错，改成双引号就好了。
 *  而且这一句-H "Content-Type: application/x-ndjson"是必须要有的
    
     *  curl -H “Content-Type: application/x-ndjson” -XPOST “192.168.6.66:9200/shakespeare/doc/\_bulk?pretty” --data-binary @shakespeare\_6.0.json  
        curl -H “Content-Type: application/x-ndjson” -XPOST “192.168.6.66:9200/bank/account/\_bulk?pretty” --data-binary @accounts.json  
        curl -H “Content-Type: application/x-ndjson” -XPOST “192.168.6.66:9200/\_bulk?pretty” --data-binary @logs.jsonl

[https_download.elastic.co_demos_kibana_gettingstarted_logs.jsonl.gz]: https://download.elastic.co/demos/kibana/gettingstarted/logs.jsonl.gz
[https_download.elastic.co_demos_kibana_gettingstarted_accounts.zip]: https://download.elastic.co/demos/kibana/gettingstarted/accounts.zip
[https_download.elastic.co_demos_kibana_gettingstarted_shakespeare_6.0.json]: https://download.elastic.co/demos/kibana/gettingstarted/shakespeare_6.0.json
[55bf14d4beb983542f33ad24b0b3e645.png]: /images/20221022/88a0ea5f76324f3089e6e5ea136406cf.png
[27515b6217f2a03fb71594e367b2cb88.png]: /images/20221022/71795dd5501b4e5daf50243f97877a00.png
[5a1c631bc829290330fe810f108432bd.png]: /images/20221022/10c50f370c834ec9867749f681fa179b.png
[20faeb7bc3dc35ca1a00d5a5ff9184ef.png]: /images/20221022/4c1b8dabbdda40d8bba553097b4d4507.png