由于经常编写复杂的 Elasticsearch 查询，并通过代码生成查询条件，我发现每次使用 curl 请求 Elasticsearch 时，手动复制配置信息并构建 curl 命令的过程非常繁琐，尤其是在管理多个环境的情况下更为不便。因此，我利用 AI 技术开发了一款 Web 工具，经过一系列优化和改进，该工具能够智能拼接配置信息，自动生成完整的 Elasticsearch curl 命令，极大提升了工作效率。

访问地址可直接使用（需科学上网） https://avidbyte.github.io/ESCurlGen/

功能介绍 测试示例 my_user_index 索引

1.创建索引

{"mappings": {"properties": {"id": { "type": "keyword" },"name": { "type": "text", "fields": { "keyword": { "type": "keyword" } } },"phone": { "type": "text", "fields": { "keyword": { "type": "keyword" } } },"birthday": { "type": "date" },"createTime": { "type": "date" }}}
}

2.新增索引字段

{"properties": {"address": { "type": "text", "fields": { "keyword": { "type": "keyword" } } }}
}

3.查询 settings

4.查询 Mapping

5.新增数据

{"id": "1","name": "John Doe","phone": "123-456-7890","birthday": "1990-01-01","createTime": "2023-10-10T08:00:00Z","address": "123 Main St"
}

{"id": "2","name": "Jane Smith","phone": "098-765-4321","birthday": "1985-05-05","createTime": "2023-10-11T09:00:00Z","address": "456 Oak Ave"
}

6.批量操作（批量新增）

{ "index": { "_id": "3" } }
{ "name": "User One", "phone": "1234567890", "birthday": "1995-05-05", "createTime": "2024-10-17T10:00:00", "address": "789 Elm St" }
{ "index": { "_id": "4" } }
{ "name": "User Two", "phone": "0987654321", "birthday": "1988-07-15", "createTime": "2024-10-17T11:00:00", "address": "1234 Oak St" }

7.查询索引数据条数

8.根据条件查询

{"query": {"match": {"name": "John Doe"}}
}

9.根据 ID 查询

10.滚动查询

{"size": 2,"query": {"match_all": {}}
}

在初次滚动查询后，您需要使用 scroll_id 进行后续请求：

{"scroll": "1m","scroll_id": "DXF1ZXJ5QW5kRmV0Y2gBAAAAAA..."
}

11.根据 ID 更新数据

{"doc": {"phone": "555-555-5555","createTime": "2024-10-17T00:00:00Z"}
}

12.根据自定义条件更新数据

{"query": {"match": {"name": "Jane Doe"}},"script": {"source": "ctx._source.phone = params.phone; ctx._source.address = params.address","params": {"phone": "5555555555","address": "222 Elm St"},"lang": "painless"}
}

13.根据 ID 删除数据

14.根据自定义条件删除数据

{"query": {"match": {"name": "Jane Doe"}}
}

15.删除索引