1- From the following tables write a SQL query to find the names of departments where more than two employees are employed. Return dpt_name?
1- From the following tables write a SQL query to find the names of departments where more than two employees are employed. Return dpt_name?
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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ussing oracle
![**Using Oracle Language to Solve SQL Queries**
The following set of tables and query form the basis for an educational exercise in SQL using Oracle. The task is to write a SQL query to find department names where more than two employees are employed.
### Table: emp_department
- **Columns:**
- `DPT_CODE`: Department Code
- `DPT_NAME`: Department Name
- `DPT_ALLOTMENT`: Department Allotment
| DPT_CODE | DPT_NAME | DPT_ALLOTMENT |
|----------|-----------|---------------|
| 57 | IT | 65000 |
| 63 | Finance | 15000 |
| 47 | HR | 240000 |
| 27 | RD | 55000 |
| 89 | QC | 75000 |
### Table: emp_details
- **Columns:**
- `EMP_IDNO`: Employee ID Number
- `EMP_FNAME`: Employee First Name
- `EMP_LNAME`: Employee Last Name
- `EMP_DEPT`: Employee Department Code
| EMP_IDNO | EMP_FNAME | EMP_LNAME | EMP_DEPT |
|----------|-----------|-----------|----------|
| 127323 | Michale | Robbin | 57 |
| 526689 | Carlos | Snares | 63 |
| 843795 | Enric | Dosio | 57 |
| 328717 | Jhon | Snares | 63 |
| 444527 | Joseph | Dosni | 47 |
| 659831 | Zanifer | Emily | 47 |
| 847674 | Kuleswar | Sitaraman | 57 |
| 748681 | Henrey | Gabriel | 47 |
| 555935 | Alex | Manuel | 57 |
| 539569 | George | Mardy | 27 |
| 733843 | Mario | Saule | 63 |
| 631548 | Alan | Snappy | 27 |
| 839139 | Maria | Foster | 57 |
### Table: company_mast
- **Columns:**](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7563f763-7770-4395-829c-5492caf2547a%2F3c96ac10-6784-4010-9210-edbc291315e2%2Fjjg5k1t_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Using Oracle Language to Solve SQL Queries**
The following set of tables and query form the basis for an educational exercise in SQL using Oracle. The task is to write a SQL query to find department names where more than two employees are employed.
### Table: emp_department
- **Columns:**
- `DPT_CODE`: Department Code
- `DPT_NAME`: Department Name
- `DPT_ALLOTMENT`: Department Allotment
| DPT_CODE | DPT_NAME | DPT_ALLOTMENT |
|----------|-----------|---------------|
| 57 | IT | 65000 |
| 63 | Finance | 15000 |
| 47 | HR | 240000 |
| 27 | RD | 55000 |
| 89 | QC | 75000 |
### Table: emp_details
- **Columns:**
- `EMP_IDNO`: Employee ID Number
- `EMP_FNAME`: Employee First Name
- `EMP_LNAME`: Employee Last Name
- `EMP_DEPT`: Employee Department Code
| EMP_IDNO | EMP_FNAME | EMP_LNAME | EMP_DEPT |
|----------|-----------|-----------|----------|
| 127323 | Michale | Robbin | 57 |
| 526689 | Carlos | Snares | 63 |
| 843795 | Enric | Dosio | 57 |
| 328717 | Jhon | Snares | 63 |
| 444527 | Joseph | Dosni | 47 |
| 659831 | Zanifer | Emily | 47 |
| 847674 | Kuleswar | Sitaraman | 57 |
| 748681 | Henrey | Gabriel | 47 |
| 555935 | Alex | Manuel | 57 |
| 539569 | George | Mardy | 27 |
| 733843 | Mario | Saule | 63 |
| 631548 | Alan | Snappy | 27 |
| 839139 | Maria | Foster | 57 |
### Table: company_mast
- **Columns:**
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