谷粒商城实战笔记-108~109-elasticsearch删除与批量导入_业界新闻

发布时间:2024-08-03 06:13

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一，108-全文检索-ElasticSearch-入门-put&post修改数据

第一种更新方式：

POST customer/external/1/_update { 	"doc":{ 	"name": "John Doew" 	} }

第二种更新方式：

POST customer/external/1 { "name": "John Doe2" }

第三种更新方式：

PUT customer/external/1 { "name": "John Doe" }

区别：

第一种POST操作会对比源文档数据，如果相同不会有什么操作，文档 version 不增加
第二种和第三种操作总会将数据重新保存并增加 version 版本

此外，还可以实现更新同时增加属性。

POST customer/external/1/_update { 	"doc": { "name": "Jane Doe", "age": 20 } }

二，109-全文检索-ElasticSearch-入门-删除数据&bulk批量操作导入样本测试数据

1，删除一条数据

DELETE customer/_doc/1

删除customer索引下id为1的文档。

2，删除整个索引

DELETE customer

3，批量导入数据

Elasticsearch的_bulk API允许你执行批量操作，这包括索引、更新或删除多个文档。批量操作可以显著提高性能，因为它减少了网络往返次数和资源消耗。

以下是使用_bulk API的示例：

批量索引文档：
下面的示例展示了如何使用_bulk API同时索引两个文档：
```
POST /_bulk { "index" : { "_index" : "customer", "_type" : "external" } } { "name": "John Doe" } { "index" : { "_index" : "customer", "_type" : "external" } } { "name": "Jane Smith" } 
```
在这个示例中，我们发送了一个_bulk请求，包含了两个索引操作。每个索引操作都由两行组成：第一行是一个JSON对象，指定了索引操作的参数（如索引名和类型），第二行是要索引的文档。

批量更新文档：
使用_update操作可以实现批量更新：

POST /_bulk { "update" : {"_id" : "1", "_index" : "customer", "_type" : "external"} } { "doc" : { "name" : "John Updated" } } { "update" : {"_id" : "2", "_index" : "customer", "_type" : "external"} } { "doc" : { "name" : "Jane Updated" } }

这里，我们发送了一个包含两个更新操作的_bulk请求。每个更新操作指定了要更新的文档ID，并提供了要更新的字段。

混合操作：
_bulk API允许在同一个请求中混合不同类型的操作：

POST /_bulk { "index" : { "_index" : "customer", "_type" : "external" } } { "name": "First Document" } { "delete" : {"_id" : "3", "_index" : "customer", "_type" : "external"} } { "update" : {"_id" : "4", "_index" : "customer", "_type" : "external"} } { "doc" : { "name" : "Fourth Document Updated" } }

在这个示例中，我们首先索引了一个文档，然后删除了一个文档，接着更新了另一个文档。

使用_bulk API时，需要注意以下几点：

请求体中的操作必须交替进行，首先是操作定义，紧接着是操作数据。
每个操作定义和操作数据之间用换行符\n分隔。
批量请求的大小通常受到限制，因此需要根据Elasticsearch集群的性能和资源合理分批操作。

4，批量导入测试数据

使用bulk批量操作API导入如下数据。

POST bank/acount/_bulk

测试数据比较多，完整数据参考https://blog.csdn.net/CB_Beginner/article/details/121199142，如下：

{"index":{"_id":"1"}} {"account_number":1,"balance":39225,"firstname":"Amber","lastname":"Duke","age":32,"gender":"M","address":"880 Holmes Lane","employer":"Pyrami","email":"amberduke@pyrami.com","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":"hattiebond@netagy.com","city":"Dante","state":"TN"} {"index":{"_id":"13"}} {"account_number":13,"balance":32838,"firstname":"Nanette","lastname":"Bates","age":28,"gender":"F","address":"789 Madison Street","employer":"Quility","email":"nanettebates@quility.com","city":"Nogal","state":"VA"} {"index":{"_id":"18"}} {"account_number":18,"balance":4180,"firstname":"Dale","lastname":"Adams","age":33,"gender":"M","address":"467 Hutchinson Court","employer":"Boink","email":"daleadams@boink.com","city":"Orick","state":"MD"} {"index":{"_id":"20"}} {"account_number":20,"balance":16418,"firstname":"Elinor","lastname":"Ratliff","age":36,"gender":"M","address":"282 Kings Place","employer":"Scentric","email":"elinorratliff@scentric.com","city":"Ribera","state":"WA"} {"index":{"_id":"25"}} {"account_number":25,"balance":40540,"firstname":"Virginia","lastname":"Ayala","age":39,"gender":"F","address":"171 Putnam Avenue","employer":"Filodyne","email":"virginiaayala@filodyne.com","city":"Nicholson","state":"PA"} {"index":{"_id":"32"}}