CREATE TABLE enriched_orders ( order_id INT, order_date TIMESTAMP(0), customer_name STRING, price DECIMAL(10, 5), product_id INT, order_status BOOLEAN, product_name STRING, product_description STRING, shipment_id INT, origin STRING, destination STRING, is_arrived BOOLEAN, PRIMARY KEY (order_id) NOT ENFORCED ) WITH ( 'connector' = 'elasticsearch-7', 'hosts' = 'http://localhost:9200', 'index' = 'enriched_orders' );
时间: 2024-04-28 20:25:14 浏览: 18
这是一个创建名为 "enriched_orders" 的表的 SQL 语句,其包含多个列,包括 order_id、order_date、customer_name、price、product_id、order_status、product_name、product_description、shipment_id、origin、destination 和 is_arrived。其中,order_id 列为主键,但未强制执行。此外,该表是通过 Elasticsearch-7 连接器连接到本地主机的 Elasticsearch 数据库,并使用 URL "http://localhost:9200" 进行连接。该表位于名为 enriched_orders 的索引中。
相关问题
[ERROR] Could not execute SQL statement. Reason: org.apache.flink.table.api.ValidationException: Column types of query result and sink for 'default_catalog.default_database.enriched_orders1' do not match. Cause: Incompatible types for sink column 'email' at position 4. Query schema: [order_id: INT NOT NULL, user_id: STRING, product_id: STRING, address_id: STRING, number: INT, order_time: TIMESTAMP(6), order_status: STRING, user_name: STRING, gender: STRING, telephone: STRING, email: STRING, code: STRING, province: STRING, city: STRING, product_name: STRING, price: STRING, type: STRING, factory: STRING] Sink schema: [user_id: INT, user_name: STRING, gender: STRING, telephone: STRING, email: STRING, address_id: INT, code: STRING, province: STRING, city: STRING, product_id: INT, product_name: STRING, price: STRING, type: STRING, factory: STRING, order_id: INT, number: INT, order_time: TIMESTAMP(6), order_status: STRING]
这个错误信息和之前的一样,看起来是数据表的列类型不匹配导致的。具体来说,查询结果的列类型与目标表不一致,其中 'email' 列的类型不兼容。查询结果的列类型包括 [order_id: INT NOT NULL, user_id: STRING, product_id: STRING, address_id: STRING, number: INT, order_time: TIMESTAMP(6), order_status: STRING, user_name: STRING, gender: STRING, telephone: STRING, email: STRING, code: STRING, province: STRING, city: STRING, product_name: STRING, price: STRING, type: STRING, factory: STRING],而目标表的列类型包括[user_id: INT, user_name: STRING, gender: STRING, telephone: STRING, email: STRING, address_id: INT, code: STRING, province: STRING, city: STRING, product_id: INT, product_name: STRING, price: STRING, type: STRING, factory: STRING, order_id: INT, number: INT, order_time: TIMESTAMP(6), order_status: STRING]。需要确认这两个表的列类型是否一致,并作出相应的调整。
setNames(c("#a6dba0", "#c2a5cf", "#762a83"), c("depleted", "maintained", "enriched"))
这是一个R语言的函数,其作用是将颜色向量和名称向量作为输入,返回一个命名的颜色向量。具体实现如下:
```R
setNames(c("#a6dba0", "#c2a5cf", "#762a83"), c("depleted", "maintained", "enriched"))
```
其中,`c("#a6dba0", "#c2a5cf", "#762a83")`是颜色向量,`c("depleted", "maintained", "enriched")`是名称向量。函数的返回值是一个命名的颜色向量,其中每个元素都对应一个名称。在这个例子中,返回的命名颜色向量如下:
```
depleted maintained enriched
"#a6dba0" "#c2a5cf" "#762a83"
```
相关推荐
![pdf](https://img-home.csdnimg.cn/images/20210720083512.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![pdf](https://img-home.csdnimg.cn/images/20210720083512.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![](https://csdnimg.cn/download_wenku/file_type_ask_c1.png)
![doc](https://img-home.csdnimg.cn/images/20210720083327.png)
![pdf](https://img-home.csdnimg.cn/images/20210720083512.png)
![pdf](https://img-home.csdnimg.cn/images/20210720083512.png)
![pptx](https://img-home.csdnimg.cn/images/20210720083543.png)
![pdf](https://img-home.csdnimg.cn/images/20210720083512.png)
![pdf](https://img-home.csdnimg.cn/images/20210720083512.png)
![zip](https://img-home.csdnimg.cn/images/20210720083736.png)
![xlsx](https://img-home.csdnimg.cn/images/20210720083732.png)
![rar](https://img-home.csdnimg.cn/images/20210720083606.png)