
(a)
UNION set operator:
The UNION set operator is used to combine the output of two or more than two queries and produce a result. The produced result contains unique values.
Syntax:
QUERY UNION QUERY;
Consider two tables:
Table creation:
CREATE TABLE VENDOR(VEND_CODE INT PRIMARY KEY);
CREATE TABLE PRODUCT(PROD_CODE VARCHAR(5), VEND_CODE INT,FOREIGN KEY (VEND_CODE) REFERENCES VENDOR (VEND_CODE));
Inserting values:
INSERT INTO VENDOR VALUES(123);
INSERT INTO VENDOR VALUES(124);
INSERT INTO VENDOR VALUES(125);
INSERT INTO VENDOR VALUES(126);
INSERT INTO PRODUCT VALUES('ABC', 125);
INSERT INTO PRODUCT VALUES('DEF', 124);
INSERT INTO PRODUCT VALUES('GHI', 124);
INSERT INTO PRODUCT VALUES('JKL', 123);
(b)
UNION ALL set operator:
The UNION ALL set operator is used to combine the output of two or more than two queries and produce a result. The produced result contains duplicate values.
Syntax:
QUERY UNION ALL QUERY;
Consider two tables:
Table creation:
CREATE TABLE VENDOR(VEND_CODE INT PRIMARY KEY);
CREATE TABLE PRODUCT(PROD_CODE VARCHAR(5), VEND_CODE INT,FOREIGN KEY (VEND_CODE) REFERENCES VENDOR (VEND_CODE));
Inserting values:
INSERT INTO VENDOR VALUES(123);
INSERT INTO VENDOR VALUES(124);
INSERT INTO VENDOR VALUES(125);
INSERT INTO VENDOR VALUES(126);
INSERT INTO PRODUCT VALUES('ABC', 125);
INSERT INTO PRODUCT VALUES('DEF', 124);
INSERT INTO PRODUCT VALUES('GHI', 124);
INSERT INTO PRODUCT VALUES('JKL', 123);
(c)
INTERSECT set operator:
The INTERSECT set operator is used to combine the output of two or more than two queries and produce a result. The produced result contains the values (rows) that are common in both the tables.
Syntax:
QUERY INTERSECT QUERY;
Consider two tables:
Table creation:
CREATE TABLE VENDOR(VEND_CODE INT PRIMARY KEY);
CREATE TABLE PRODUCT(PROD_CODE VARCHAR(5), VEND_CODE INT,FOREIGN KEY (VEND_CODE) REFERENCES VENDOR (VEND_CODE));
Inserting values:
INSERT INTO VENDOR VALUES(123);
INSERT INTO VENDOR VALUES(124);
INSERT INTO VENDOR VALUES(125);
INSERT INTO VENDOR VALUES(126);
INSERT INTO PRODUCT VALUES('ABC', 125);
INSERT INTO PRODUCT VALUES('DEF', 124);
INSERT INTO PRODUCT VALUES('GHI', 124);
INSERT INTO PRODUCT VALUES('JKL', 123);
(d)
EXCEPT/ MINUS set operator:
The MINUS set operator is used to combine the output of two or more than two queries and produce a result. The produced result contains the values (rows) that appear in the first table but not in the second table. The word “EXCEPT” can also be used in the place of “MINUS”.
Syntax:
QUERY EXCEPT QUERY;
Consider two tables:
Table creation:
CREATE TABLE VENDOR(VEND_CODE INT PRIMARY KEY);
CREATE TABLE PRODUCT(PROD_CODE VARCHAR(5), VEND_CODE INT,FOREIGN KEY (VEND_CODE) REFERENCES VENDOR (VEND_CODE));
Inserting values:
INSERT INTO VENDOR VALUES(123);
INSERT INTO VENDOR VALUES(124);
INSERT INTO VENDOR VALUES(125);
INSERT INTO VENDOR VALUES(126);
INSERT INTO PRODUCT VALUES('ABC', 125);
INSERT INTO PRODUCT VALUES('DEF', 124);
INSERT INTO PRODUCT VALUES('GHI', 124);
INSERT INTO PRODUCT VALUES('JKL', 123);

Trending nowThis is a popular solution!

Chapter 8 Solutions
Database Systems: Design, Implementation, & Management
- I need help to solve a simple problem using Grover’s algorithm, where the solution is not necessarily known beforehand. The problem is a 2×2 binary sudoku with two rules: • No column may contain the same value twice. • No row may contain the same value twice. Each square in the sudoku is assigned to a variable as follows: We want to design a quantum circuit that outputs a valid solution to this sudoku. While using Grover’s algorithm for this task is not necessarily practical, the goal is to demonstrate how classical decision problems can be converted into oracles for Grover’s algorithm. Turning the Problem into a Circuit To solve this, an oracle needs to be created that helps identify valid solutions. The first step is to construct a classical function within a quantum circuit that checks whether a given state satisfies the sudoku rules. Since we need to check both columns and rows, there are four conditions to verify: v0 ≠ v1 # Check top row v2 ≠ v3 # Check bottom row…arrow_forward1 Vo V₁ V3 V₂ V₂ 2arrow_forward1 Vo V₁ V3 V₂ V₂ 2arrow_forward
- Preparing for a testarrow_forward1 Vo V₁ V3 V₂ V₂ 2arrow_forwardI need help to solve a simple problem using Grover’s algorithm, where the solution is not necessarily known beforehand. The problem is a 2×2 binary sudoku with two rules: • No column may contain the same value twice. • No row may contain the same value twice. Each square in the sudoku is assigned to a variable as follows: We want to design a quantum circuit that outputs a valid solution to this sudoku. While using Grover’s algorithm for this task is not necessarily practical, the goal is to demonstrate how classical decision problems can be converted into oracles for Grover’s algorithm. Turning the Problem into a Circuit To solve this, an oracle needs to be created that helps identify valid solutions. The first step is to construct a classical function within a quantum circuit that checks whether a given state satisfies the sudoku rules. Since we need to check both columns and rows, there are four conditions to verify: v0 ≠ v1 # Check top row v2 ≠ v3 # Check bottom row…arrow_forward
- I need help to solve a simple problem using Grover’s algorithm, where the solution is not necessarily known beforehand. The problem is a 2×2 binary sudoku with two rules: • No column may contain the same value twice. • No row may contain the same value twice. Each square in the sudoku is assigned to a variable as follows: We want to design a quantum circuit that outputs a valid solution to this sudoku. While using Grover’s algorithm for this task is not necessarily practical, the goal is to demonstrate how classical decision problems can be converted into oracles for Grover’s algorithm. Turning the Problem into a Circuit To solve this, an oracle needs to be created that helps identify valid solutions. The first step is to construct a classical function within a quantum circuit that checks whether a given state satisfies the sudoku rules. Since we need to check both columns and rows, there are four conditions to verify: v0 ≠ v1 # Check top row v2 ≠ v3 # Check bottom row…arrow_forwardI need help to solve a simple problem using Grover’s algorithm, where the solution is not necessarily known beforehand. The problem is a 2×2 binary sudoku with two rules: • No column may contain the same value twice. • No row may contain the same value twice. Each square in the sudoku is assigned to a variable as follows: We want to design a quantum circuit that outputs a valid solution to this sudoku. While using Grover’s algorithm for this task is not necessarily practical, the goal is to demonstrate how classical decision problems can be converted into oracles for Grover’s algorithm. Turning the Problem into a Circuit To solve this, an oracle needs to be created that helps identify valid solutions. The first step is to construct a classical function within a quantum circuit that checks whether a given state satisfies the sudoku rules. Since we need to check both columns and rows, there are four conditions to verify: v0 ≠ v1 # Check top row v2 ≠ v3 # Check bottom row…arrow_forwardDon't use ai to answer I will report you answerarrow_forward
- You can use Eclipse later for program verification after submission. 1. Create an abstract Animal class. Then, create a Cat class. Please implement all the methods and inheritance relations in the UML correctly: Animal name: String # Animal (name: String) + getName(): String + setName(name: String): void + toString(): String + makeSound(): void Cat breed : String age: int + Cat(name: String, breed: String, age: int) + getBreed(): String + getAge (): int + toString(): String + makeSound(): void 2. Create a public CatTest class with a main method. In the main method, create one Cat object and print the object using System.out.println(). Then, test makeSound() method. Your printing result must follow the example output: name: Coco, breed: Domestic short-haired, age: 3 Meow Meowarrow_forwardautomata theory can please wright the exact language it know for example say it knows strings start 0 and end with 1 this is as example also as regular expressionarrow_forwardI would like help to resolve the following case, thank youarrow_forward
- Database Systems: Design, Implementation, & Manag...Computer ScienceISBN:9781305627482Author:Carlos Coronel, Steven MorrisPublisher:Cengage LearningDatabase Systems: Design, Implementation, & Manag...Computer ScienceISBN:9781285196145Author:Steven, Steven Morris, Carlos Coronel, Carlos, Coronel, Carlos; Morris, Carlos Coronel and Steven Morris, Carlos Coronel; Steven Morris, Steven Morris; Carlos CoronelPublisher:Cengage LearningNp Ms Office 365/Excel 2016 I NtermedComputer ScienceISBN:9781337508841Author:CareyPublisher:Cengage
- A Guide to SQLComputer ScienceISBN:9781111527273Author:Philip J. PrattPublisher:Course Technology Ptr



