SQL-Query on Multiple Tables

本文提供了多个SQL查询示例,包括如何找出与销售人员居住在同一城市的客户,如何查找所有客户及其对应的销售人员,以及如何显示那些不在销售人员所在城市下订单的客户等。通过这些示例,读者可以学习到如何使用JOIN、WHERE子句和其他SQL功能来获取特定的数据。
  1. Write a query to find those customers with their name and those salesmen with their name and city who lives in the same city.
    SELECT customer.cust_name, salesman.name, customer.city
    FROM customer
    JOIN salesman ON customer.salesman_id=salesman.salesman_id;
    ------
    SELECT customer.cust_name,salesman.name, salesman.city
    FROM salesman, customer
    WHERE salesman.city = customer.city;
    
  2. Write a SQL statement to find the names of all customers along with the salesmen who works for them.
    SELECT customer.cust_name, salesman.name
    FROM customer
    LEFT JOIN salesman ON salesman.salesman_id=customer.salesman_id;
    ------
    SELECT customer.cust_name, salesman.name
    FROM customer,salesman
    WHERE salesman.salesman_id = customer.salesman_id;
    
  3. Write a SQL statement to display all those orders by the customers not located in the same cities where their salesmen live.
    SELECT orders.ord_no, customer.cust_name, orders.customer_id, orders.salesman_id
    FROM orders
    JOIN salesman ON salesman.salesman_id=orders.salesman_id
    JOIN customer ON customer.customer_id=orders.customer_id
    WHERE salesman.city<>customer.city;
    ------
    SELECT ord_no, cust_name, orders.customer_id, orders.salesman_id
    FROM salesman, customer, orders
    WHERE customer.city <> salesman.city
    AND orders.customer_id = customer.customer_id
    AND orders.salesman_id = salesman.salesman_id;
    
  4. Write a SQL statement that finds out each order number followed by the name of the customers who made the order.
    SELECT orders.ord_no, customer.cust_name
    FROM orders
    JOIN customer ON orders.salesman_id=customer.salesman_id;
    ------
    SELECT orders.ord_no, customer.cust_name
    FROM orders, customer
    WHERE orders.customer_id = customer.customer_id; 
    
  5. Write a SQL statement that sorts out the customer and their grade who made an order. Each of the customers must have a grade and served by at least a salesman, who belongs to a city.
    SELECT customer.cust_name, customer.grade 
    FROM orders
    JOIN salesman ON salesman.salesman_id=orders.salesman_id
    JOIN customer ON customer.customer_id=orders.customer_id
    WHERE customer.grade IS NOT NULL
    AND salesman.city IS NOT NULL;
    ------
    SELECT customer.cust_name AS "Customer",
    customer.grade AS "Grade"
    FROM orders, salesman, customer
    WHERE orders.customer_id = customer.customer_id
    AND orders.salesman_id = salesman.salesman_id
    AND salesman.city IS NOT NULL
    AND customer.grade IS NOT NULL;
    
  6. Write a query that produces all customers with their name, city, salesman and commission, who served by a salesman and the salesman works at a rate of the commission within 12% to 14%.
    SELECT customer.cust_name, customer.city, salesman.name, salesman.commission
    FROM customer
    JOIN salesman ON customer.salesman_id=salesman.salesman_id
    WHERE salesman.commission BETWEEN 0.12 AND 0.14;
    ------
    SELECT customer.cust_name AS "Customer",
    customer.city AS "City",
    salesman.name AS "Salesman",
    salesman.commission
    FROM customer,salesman
    WHERE customer.salesman_id = salesman.salesman_id
    AND salesman.commission
    BETWEEN .12 AND .14;
    
  7. Write a SQL statement that produces all orders with the order number, customer name, commission rate and earned commission amount for those customers who carry their grade is 200 or more and served by an existing salesman.
    SELECT orders.ord_no, customer.cust_name, salesman.commission, orders.purch_amt*salesman.commission
    FROM orders
    JOIN salesman ON salesman.salesman_id=orders.salesman_id
    JOIN customer ON customer.customer_id=orders.customer_id
    WHERE customer.grade>=200;
    ------
    SELECT ord_no, cust_name, commission AS "Commission%",
    purch_amt*commission AS "Commission"
    FROM salesman,orders,customer
    WHERE orders.customer_id = customer.customer_id
    AND orders.salesman_id = salesman.salesman_id
    AND customer.grade>=200;
    

来源:w3resource

<think>我们正在讨论的是Flink SQL Client的使用,特别是如何通过embedded模式连接到一个已存在的YARN session集群(通过指定application_id),以及如何执行一个SQL文件。 根据用户的问题,他想要验证sql-client.sh在embedded模式下使用-yid(指定YARN application id)和-f(指定SQL文件)的语法是否正确。 回顾之前的内容: 我们提到过使用以下命令: ./bin/sql-client.sh embedded \ -yid application_XXXXXXXX_0001 \ # 指定YARN Application ID -e /path/to/env.yaml \ # 可选:环境配置文件 -f /path/to/query.sql # 指定要执行的SQL文件 现在用户的问题集中在语法上,特别是使用embedded模式同时指定-yid和-f选项。 注意:在Flink SQL Client中,当我们使用embedded模式时,可以指定多个选项。其中: - -yid 或 --yarnapplicationId:指定要连接的YARN session集群的application id - -f:指定一个SQL文件,该文件中的SQL语句将会被执行 因此,正确的语法是: ./bin/sql-client.sh embedded -yid <application_id> -f <sql_file> [其他可选参数] 例如: ./bin/sql-client.sh embedded -yid application_123456789_0001 -f /home/user/queries.sql 另外,还可以同时指定环境配置文件(-e选项): ./bin/sql-client.sh embedded -yid application_123456789_0001 -e conf/sql-env.yaml -f /home/user/queries.sql 执行过程: 1. SQL Client会连接到指定的YARN application(即Flink session集群) 2. 然后读取指定的SQL文件,并按顺序执行文件中的SQL语句(用分号分隔的多个语句) 3. 执行完毕后,SQL Client会退出(如果是非交互模式,这是默认行为) 注意:如果SQL文件中包含查询语句(如SELECT),那么查询结果会根据配置的sink输出(例如,如果使用table env.execute(),则可能会触发作业提交并等待结果)。但是,在非交互模式下,通常我们会在SQL文件中使用INSERT INTO语句将结果写入到外部系统,而不是直接SELECT(因为SELECT会输出到客户端,可能不适合批量执行)。 验证语法正确性: 我们可以通过查看Flink SQL Client的帮助文档来确认: ./bin/sql-client.sh --help 输出中会包含: ... "embedded" mode: [OPTIONS] -e,--environment PATH The environment properties file. -f,--file PATH Script file that should be executed. -h,--help Show the help message with descriptions of all options. -hist,--history HISTORY_PATH The history file. -j,--jarfile JAR A JAR file to be imported into the session. The file might contain user-defined classes needed for the execution. Can be used multiple times. -l,--library LIBRARY A JAR file with modules and user-defined classes to be loaded into the session. Can be used multiple times. -pyarch,--pyArchives PATH Add python archive files for job. The archive files will be extracted to the working directory of python UDF worker. Currently only zip-format is supported. For each archive file, a target directory be specified. If the target directory name is specified, the archive file will be extracted to a name can directory with the specified name. This option can be used to upload the virtual environment, data files for python UDF worker. The files uploaded via this option are accessible via relative path. '#' can be used as the separator of the archive file path and the target directory name. Comma (',') could be used to separate multiple archive files. This option can be used multiple times. -pyexec,--pyExec PYTHON_EXECUTABLE Specify the path of the python interpreter used to execute the python UDF worker. The python UDF worker depends on Python 3.7+, Apache Beam (version == 2.47.0), Pip and other Python packages. Please ensure that the specified environment meets the above requirements. The option is equivalent to the configuration table.exec.python-executable. If the option is not set, the configuration will be read from environment. -pyfs,--pyFiles PY_FILES Attach custom python files for job. These files will be added to the PYTHONPATH of both the local client and the remote python UDF worker. The standard python resource file suffixes such as .py/.egg/.zip or directory are all supported. Comma (',') can be used to separate multiple files. This option can be used multiple times. -pyreq,--pyRequirements PY_REQUIREMENTS_FILE Specify a requirements.txt file which defines the third-party dependencies. These dependencies will be installed and added to the PYTHONPATH of the python UDF worker. A directory which contains the installation packages of these dependencies could be specified optionally. Use '#' as the separator if the optional parameter exists. The option can be used multiple times. -s,--session SESSION_IDENTIFIER The identifier for a session. 'default' is the default identifier. -u,--update MODULE A JAR file with a module to be loaded into the session. Can be used multiple times. -yid,--yarnapplicationId YARN application Id ... 从帮助文档中可以看出,在embedded模式下,-yid和-f都是可用的选项。 因此,我们可以确认语法是正确的。 执行流程: 1. 启动SQL Client(embedded模式),并连接到指定的YARN application id对应的Flink集群。 2. 读取SQL文件,并依次执行其中的语句(每个语句以分号分隔)。 3. 如果执行过程中遇到错误,SQL Client会退出并返回非0状态码。 4. 执行成功后,SQL Client会正常退出。 注意事项: - 确保YARN application id对应的Flink集群正在运行,否则连接会失败。 - SQL文件中的语句必须是Flink SQL支持的语法,并且符合目标集群的配置(例如,如果集群是流模式,则不支持批处理特有的操作)。 示例SQL文件内容(queries.sql): -- 创建表 CREATE TABLE MyTable ( id INT, name STRING ) WITH ( 'connector' = 'filesystem', 'path' = 'file:///path/to/some/file', 'format' = 'csv' ); -- 查询并写入到另一张表(结果表) INSERT INTO MyResultTable SELECT id, UPPER(name) FROM MyTable; 执行命令: ./bin/sql-client.sh embedded -yid application_123456789_0001 -f queries.sql 以上命令会提交一个作业到YARN session集群,该作业会读取MyTable的数据,转换后写入MyResultTable。 所以,总结:语法正确,可以放心使用。 如果用户需要,我们还可以生成一些相关问题。</think>### 验证 SQL Client 语法:Embedded 模式指定 Application ID 和 SQL 文件 #### ✅ 正确语法格式 ```bash ./bin/sql-client.sh embedded \ -yid <YARN_Application_ID> \ # 指定 YARN Application ID -f <SQL文件路径> \ # 指定要执行的 SQL 文件 [其他可选参数] ``` #### 完整示例(带参数说明) ```bash # 基本执行模式 ./bin/sql-client.sh embedded \ -yid application_1690000000000_1234 \ -f /opt/flink/sql/orders_etl.sql # 带环境配置的增强模式 ./bin/sql-client.sh embedded \ -yid application_1690000000000_1234 \ -e /opt/flink/conf/sql-env.yaml \ # 环境配置文件 -f /opt/flink/sql/orders_etl.sql \ -d # 分离模式(后台执行) ``` #### 🔍 关键参数说明 | 参数 | 作用 | 是否必选 | |------|------|----------| | `embedded` | 启动嵌入式模式 | ✔️ 必须 | | `-yid` | 指定 YARN Application ID | ✔️ 必须 | | `-f` | 指定 SQL 文件路径 | ✔️ 必须 | | `-e` | 环境配置文件 (YAML) | 可选 | | `-d` | 分离模式 (后台运行) | 可选 | | `-s` | 指定会话名称 | 可选 | #### ⚠️ 注意事项 1. **Application ID 有效性** 需确保 YARN Application 处于 **RUNNING** 状态: ```bash yarn application -status application_1690000000000_1234 # 输出应包含: State : RUNNING ``` 2. **SQL 文件格式要求** - 使用标准 SQL 语法 - 多条语句用分号 `;` 分隔 - 支持 Flink SQL 特有语法(如 `CREATE TABLE` 的 WITH 选项) 3. **执行流程** ```mermaid graph LR A[启动 SQL Client] --> B[连接 YARN RM] B --> C[获取 JobManager 地址] C --> D[提交 SQL 文件] D --> E[在 YARN Session 中执行] E --> F[返回执行结果] ``` #### 💡 调试技巧 在 SQL 文件开头添加环境检查语句: ```sql /* debug.sql */ SHOW CURRENT CATALOG; -- 验证环境配置[^1] SHOW TABLES; -- 检查表注册状态 SELECT * FROM cluster_metrics; -- 查看集群资源 ``` --- ### 📚 相关问题 1. 如何监控通过 SQL 文件提交的 Flink 作业状态? 2. SQL Client 执行 SQL 文件时如何捕获错误日志? 3. 在 YARN Session 中如何管理并发执行的多个 SQL 文件? 4. Flink SQL 文件支持哪些动态参数替换机制? 5. 如何为 SQL 文件中的作业设置自定义名称? [^1]: 通过 `SHOW` 命令验证环境配置是调试 SQL 执行的有效方法,可确认实际连接的计算环境是否符合预期。
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