背景
前面安裝運行了ElasticSearch，在實際操作之前，先準備好數據，實際中一般是通過Logstash等插件實現其他數據庫到ElasticSearch的同步，這裏的演示採用直接導入的方式。
ElasticSearch官方有個數據集，文件內容的格式以行分隔：
每兩行爲一組，第一行指定索引id（也可爲空），第二行爲實際的數據體。
{"index":{"_id":"1"}}
{"account_number":1,"balance":39225,"firstname":"Amber","lastname":"Duke","age":32,"gender":"M","address":"880 Holmes Lane","employer":"Pyrami","email":"[email protected]","city":"Brogan","state":"IL"}
...省略
以下提供兩種方法批量導入數據到ES的bank索引：Postman與Kibana。通過ES提供的_bulk API完成批量導入。
方法一：通過Postman完成數據批量導入
首先在Postman中新建 POST 請求：localhost:9200/bank/_bulk, 請求體Body下選擇binary二進制, 然後Select File選擇對應的json文件, 最後點擊Send發送請求即可，見下圖。
方法二：通過Kibana完成數據批量導入
依次啓動ElasticSearch、Kibana，Kibana默認啓動在5601端口，打開（Dev Tools）開發工具。
左側爲請求編輯區，右側爲對應的響應。在左側輸入：
POST bank/_bulk
{"index":{"_id":"1"}}
{"account_number":1,"balance":39225,"firstname":"Amber","lastname":"Duke","age":32,"gender":"M","address":"880 Holmes Lane","employer":"Pyrami","email":"[email protected]","city":"Brogan","state":"IL"}
{"index":{"_id":"6"}}
{"account_number":6,"balance":5686,"firstname":"Hattie","lastname":"Bond","age":36,"gender":"M","address":"671 Bristol Street","employer":"Netagy","email":"[email protected]","city":"Dante","state":"TN"}
...省略
點擊運行，Kibana中的執行結果爲：
驗證：查詢索引中所有數據
在Postman中發送Post請求：localhost:9200/bank/_search，請求體：
{
"query":{
"match_all": {}
}
}
得到bank索引中所有1000條數據，表明批量導入操作成功：
批量刪除
有時候會有批量刪除的需求，尤其是在測試或演示時。
- 清空索引
僅刪除數據，保留索引以及映射。
在Postman中發送Post請求：localhost:9200/bank/_delete_by_query，請求體：
{
"query":{
"match_all": {}
}
}
- 刪除索引
在Postman中發送Delete請求：localhost:9200/bank，無參數。
Notes: 刪除索引爲高危操作，謹慎使用！！😎
If you have any questions or any bugs are found, please feel free to contact me.
Your comments and suggestions are welcome!