InstructionsUsing the data provided in the Ch13_SaleCo; database, solve the following problems.(Hint: In Problems 5–11, use the ROLLUP command.)Below is the Schema for the database:Problem 11What is the SQL command to list the number of product sales (number of rows) and total sales by month, product category, and product, with subtotals by month and product category and a grand total for all sales? Figure P13.11 shows the result of the query. ### Figure 13.20: SALECO Snowflake SchemaThis diagram illustrates the Snowflake Schema of the SALECO database, which is a data model used to organize and structure data in a way that optimizes for query performance and data storage efficiency. Below is a detailed explanation of each component within the schema:#### Tables and Attributes1. **DWREGION** - **Primary Key (PK):** `REG_ID` - **Attributes:** - `REG_NAME`2. **DWTIME** - **Primary Key (PK):** `TM_ID` - **Attributes:** - `TM_YEAR` - `TM_MONTH` - `TM_DAY` - `TM_QTR`3. **DWVENDOR** - **Primary Key (PK):** `V_CODE` - **Attributes:** - `V_NAME` - `V_AREACODE` - `V_STATE`4. **DWCUSTOMER** - **Primary Key (PK):** `CUS_CODE` - **Attributes:** - `CUS_LNAME` - `CUS_FNAME` - `CUS_INITIAL` - `CUS_STATE` - Foreign Key (FK): `REG_ID` (links to `DWREGION`)5. **DWPRODUCT** - **Primary Key (PK):** `P_CODE` - **Attributes:** - `P_DESCRIPT` - `P_CATEGORY` - Foreign Key (FK1): `V_CODE` (links to `DWVENDOR`)6. **DWSALESFACT** - **Primary Keys (PK) and Foreign Keys (FK):** - `TM_ID` (PK, FK2 links to `DWTIME`) - `CUS_CODE` (PK, FK1 links to `DWCUSTOMER`) - `P_CODE` (PK, FK3 links to `DWPRODUCT`) - **Attributes:** - `SALE_UNITS` - `SALE_PRICE`#### Explanation of the Diagram- **Relationships:** - The lines connecting the tables indicate relationships between them, facilitated by primary and foreign keys. - For instance, `DWCUSTOMER` is related to `DWREGION` through `REG_ID`, allowing access to regional information for each customer. - `DWPRODUCT` connects to ## Data Table OverviewThis table presents transactional data for various products across different months. The data includes product categories, specific product codes, the number of products sold, and the total sales value for each entry. Below is a breakdown of the table columns and their respective descriptions:- **TM_MONTH**: Represents the month of transaction (e.g., 9 for September, 10 for October).- **P_CATEGORY**: Indicates the category under which a product falls (e.g., CAT1, CAT2, etc.).- **P_CODE**: Provides the specific code for each product. Some entries have "NULL" indicating missing codes.- **NUMPROD**: Shows the number of products sold in each transaction.- **TOTSALES**: Displays the total sales amount in currency for each transaction.### Note- Some records have been omitted from the output displayed.- The last row shows totals with the number of products summing to 36 and total sales amounting to 2252.06.The highlighted row in red indicates a particular entry for better visibility; this does not signify any special meaning other than differentiation from other rows.

The data is present in three different tables- DWTIME DWDAYSALESFACT DWPRODUCT, So, we must join…

Answered: Instructions Using the data provided…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Instructions

Using the data provided in the Ch13_SaleCo; database, solve the following problems.
(Hint: In Problems 5–11, use the ROLLUP command.)

Below is the Schema for the database:

Problem 11

What is the SQL command to list the number of product sales (number of rows) and total sales by month, product category, and product, with subtotals by month and product category and a grand total for all sales? Figure P13.11 shows the result of the query.

### Figure 13.20: SALECO Snowflake Schema

This diagram illustrates the Snowflake Schema of the SALECO database, which is a data model used to organize and structure data in a way that optimizes for query performance and data storage efficiency. Below is a detailed explanation of each component within the schema:

#### Tables and Attributes

1. **DWREGION**
- **Primary Key (PK):** `REG_ID`
- **Attributes:**
- `REG_NAME`

2. **DWTIME**
- **Primary Key (PK):** `TM_ID`
- **Attributes:**
- `TM_YEAR`
- `TM_MONTH`
- `TM_DAY`
- `TM_QTR`

3. **DWVENDOR**
- **Primary Key (PK):** `V_CODE`
- **Attributes:**
- `V_NAME`
- `V_AREACODE`
- `V_STATE`

4. **DWCUSTOMER**
- **Primary Key (PK):** `CUS_CODE`
- **Attributes:**
- `CUS_LNAME`
- `CUS_FNAME`
- `CUS_INITIAL`
- `CUS_STATE`
- Foreign Key (FK): `REG_ID` (links to `DWREGION`)

5. **DWPRODUCT**
- **Primary Key (PK):** `P_CODE`
- **Attributes:**
- `P_DESCRIPT`
- `P_CATEGORY`
- Foreign Key (FK1): `V_CODE` (links to `DWVENDOR`)

6. **DWSALESFACT**
- **Primary Keys (PK) and Foreign Keys (FK):**
- `TM_ID` (PK, FK2 links to `DWTIME`)
- `CUS_CODE` (PK, FK1 links to `DWCUSTOMER`)
- `P_CODE` (PK, FK3 links to `DWPRODUCT`)
- **Attributes:**
- `SALE_UNITS`
- `SALE_PRICE`

#### Explanation of the Diagram

- **Relationships:**
- The lines connecting the tables indicate relationships between them, facilitated by primary and foreign keys.
- For instance, `DWCUSTOMER` is related to `DWREGION` through `REG_ID`, allowing access to regional information for each customer.
- `DWPRODUCT` connects to

## Data Table Overview

This table presents transactional data for various products across different months. The data includes product categories, specific product codes, the number of products sold, and the total sales value for each entry. Below is a breakdown of the table columns and their respective descriptions:

- **TM_MONTH**: Represents the month of transaction (e.g., 9 for September, 10 for October).
- **P_CATEGORY**: Indicates the category under which a product falls (e.g., CAT1, CAT2, etc.).
- **P_CODE**: Provides the specific code for each product. Some entries have "NULL" indicating missing codes.
- **NUMPROD**: Shows the number of products sold in each transaction.
- **TOTSALES**: Displays the total sales amount in currency for each transaction.

### Note
- Some records have been omitted from the output displayed.
- The last row shows totals with the number of products summing to 36 and total sales amounting to 2252.06.

The highlighted row in red indicates a particular entry for better visibility; this does not signify any special meaning other than differentiation from other rows.

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