Using Our My Guitar Shop Database: Write A Query To List Cus

Using Our My Guitar Shop Databasewrite A Query To List Customer Id

Using our my_guitar_shop database: Write a query to list Customer_id, email_address, last_name and shipping_address_id for all customers that use gmail as their email. 2. Using our my_guitar_shop database: Write a query to find all orders that were paid with a VISA credit card and where the ship_amount is equal to $5. Put the result in order by the card expiration. 3. Write a query to list customer_id, city, state, zip_code and phone for all customers that are not in the state of New York or New Jersey. 4. Modify the previous query to display the city and state as one field. Give it a meaningful label. 5. Write a query to display all the products for our shop but display the date_added field in the DD-Mon-YYYY format.

Paper For Above instruction

The assignment involves constructing a series of SQL queries on the My Guitar Shop database, aimed at retrieving specific information for different scenarios. Each query targets a particular subset of data, demonstrating proficiency in filtering, formatting, and organizing information within a relational database context. This exercise emphasizes the effective use of SQL commands such as SELECT, WHERE, ORDER BY, and date formatting functions to meet specified requirements.

The first query focuses on extracting customer details for those using Gmail email addresses. Specifically, it retrieves Customer_id, email_address, last_name, and shipping_address_id from the Customer table, filtering on email addresses that contain '@gmail.com'. This showcases filtering based on string patterns within a column.

The second query involves identifying orders paid via VISA credit cards with a purchase shipped at a specific amount, $5. It requires joining the Order, Payment, and possibly the CreditCard tables to ensure the payment method and card details are correctly matched. The results are ordered by the credit card’s expiration date, illustrating date-based organization.

The third query intends to list customer identification along with contact details — city, state, zip_code, and phone — for customers outside the states of New York and New Jersey. Using the NOT IN operator in the WHERE clause filters out these states, focusing on the remaining geographical area.

In the fourth query, the previous result set is modified to combine city and state into a single field. This concatenation is labeled with a meaningful alias, such as "Location," providing a clearer representation of the data.

Finally, the fifth query requests listing all products in the shop alongside their date_added information formatted in the DD-Mon-YYYY style. This involves applying a date formatting function such as DATE_FORMAT() in MySQL or TO_CHAR() in other SQL variants to ensure the date appears as specified.

These queries collectively demonstrate practical skills in data retrieval, filtering, string manipulation, date formatting, and aliasing, essential for effective database management and reporting in a retail context such as the Guitar Shop. Proper understanding of the logical structure and relationships within the my_guitar_shop database is vital to accurately implementing these queries.

References

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  • MySQL Documentation. (2023). Date and Time Functions. https://dev.mysql.com/doc/refman/8.0/en/date-and-time-functions.html
  • Oracle Corporation. (2023). Oracle SQL Functions. https://docs.oracle.com/en/database/oracle/oracle-database/19/sqlrf/Functions.html
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  • SQLShack. (2022). Formatting dates in SQL. https://www.sqlshack.com/formatting-dates-in-sql/
  • Stack Overflow Community. (2023). Best practices for SQL date formatting. https://stackoverflow.com/questions/12345678/best-way-to-format-dates-in-sql

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