In this assignment you are given a database schema, including a set of integrity constraints, and asked to implement and use this schema in the MySQL RDMS. Given that an empty database has been created, this entails creating the necessary tables, initializing them with some test data, and executing a variety of queries. You are then asked to draw the associated ER model. Finally, you are asked to develop either a stand-alone software package or a website that interacts with your database.
Database Systems MySQL Project Database Systems MySQL Project In this assignment you are given a database schema, including a set of integrity constraints, and asked to implement and use this schema in the MySQL RDMS. Given that an empty database has been created, this entails creating the necessary tables, initializing them with some test data, and executing a variety of queries. You are then asked to draw the associated ER model. This admittedly is doing things a bit in reverse, since the normal procedure is to create the ER model first, and then use this to produce the database schema. Finally, you are asked to develop either a stand-alone software package or a website that interacts with your database. Problem Context A real estate multiple listing service (MLS) keeps track of the houses and business properties for sale, the real estate agents that posts the listing to the database, and the potential buyers that are working with the agents. Houses and business properties are kinds of property. A listing entry shows information about the house or business property and the agent that posted the listing. Each agent works for a real estate firm. Buyers who are looking for houses or business properties work with a real estate agent who has access to the MLS. Following is an analysis of the information requirements and integrity constraints. Information Requirements 1. Property: Has an address, owner’s name, and price. 2. House: Inherits the information required by a property and in addition has the number of bedrooms, number of bathrooms, and size in square feet. Make the House address a foreign key reference to a Property address. 3. Business Property: Inherits the information required by a property and in addition has the type of business, e.g., gas station, store front, office space, etc., and the size in square feet. Make the Business Property address a foreign key reference to a Property address. 4. Agent: Has an id, a name and phone number. An agent’s employment record contains the date when his/her employment started. 5. Firm: Has an id, a name, and an address. 6. Buyer: Has an id, a name, a phone number, and a set of preferences consisting of the type of property in which the buyer is interested (house or business property) and, if a house, the desired number of bedrooms and bathrooms, and, if a business, the desired type of business property, and, for either a house or business property, the desired price range. 7. Listing: Has an MLS number, the property address, the agent’s id, and the date the listing was posted. The MLS number serves as an id. Database Schema ● Property ( address: VARCHAR(50), ownerName: VARCHAR(30), price INTEGER ) ● House ( bedrooms: INTEGER, bathrooms: INTEGER, size INTEGER, address: VARCHAR(50)) [Make the House address a foreign key reference to a Property address.] ● BusinessProperty ( type: CHAR(20), size: INTEGER, address: VARCHAR(50) ) [Make the BusinessProperty address a foreign key reference to a Property address.] ● Firm ( id: INTEGER, name: VARCHAR(30), address VARCHAR(50) ) ● Agent ( agentId: INTEGER, name VARCHAR(30), phone CHAR(12), firmId INTEGER, dateStarted DATE ) ● Listings ( address: VARCHAR(50), agentId: INTEGER, mlsNumber: INTEGER, dateListed DATE) ● Buyer ( id: INTEGER, name VARCHAR(30), phone CHAR(12), propertyType: CHAR(20), bedrooms INTEGER, bathrooms INTEGER, businessPropertyType: CHAR(20), minimumPreferredPrice: INTEGER, maximumPreferredPrice: INTEGER ) ● Works_With( buyerId: INTEGER, agentID:INTEGER ) Integrity Constraints 1. A property is identified by its address. 2. A property can be listed by at most one agent. 3. A listing is identified by its MLS number. 4. An agent works for one, and only one, firm. Data Requirements 1. Insert sufficiently many records into your tables to return at least 1 record for each of the queries below. 2. In any case, insert at least 5 records into each table. 3. Indicate the primary keys, foreign keys, and any non-null fields appropriately. You are to turn in: 1. An ER diagram that translates into this schema. 2. A MySQL script file that creates the tables that implement the given relation schemas and populates these tables with test data according to the instructions given above. 3. A MySQL script file containing SQL instructions that implement the queries described below. 4. A document showing the output resulting from each of the ten queries shown below. 5. Instructions on how to run or a video demonstration of the database interacting with your web page or program. The queries are: 1. Find the addresses of all houses currently listed. 2. Find the addresses and MLS numbers of all houses currently listed. 3. Find the addresses of all 3-bedroom, 2-bathroom houses currently listed. 4. Find the addresses and prices of all 3-bedroom, 2-bathroom houses with prices in the range $100,000 to $250,000, with the results shown in descending order of price. 5. Find the addresses and prices of all business properties that are advertised as office space in descending order of price. 6. Find all the ids, names and phones of all agents, together with the names of their firms and the dates when they started. 7. Find all the properties currently listed by agent with id “001” (or some other suitable id). 8. Find all Agent.name-Buyer.name pairs where the buyer works with the agent, sorted alphabetically by Agent.name. 9. For each agent, find the total number of buyers currently working with that agent, i.e., the output should be Agent.id-count pairs 10.For some buyer that is interested in a house, where the buyer is identified by an id (e.g., “001”), find all houses that meet the buyer’s preferences, with the results shown in descending order of price. Some basic facts about MySQL 1. To see the databases in your account use: show databases; 2. To use a particular database use: use
; 3. To see all the tables in your database (after doing the above) use: show tables; 4. To see the schema for a particular table use: describe table-name; 5. A MySQL statement can span multiple lines, and it must end with ; For example: select * from //return leads to a new line property; //return causes the statement to be executed; 6. Exit MySQL with exit;//return How to create and execute a script file: 1) Write your SQL commands into a text file with the extension .sql (the extension isn’t actually necessary, but it is customary to use this). 2) Put the (script).sql file in some directory in your program account. 3) Navigate to that directory, log into your MySQL database using the instructions given above, and then execute either “source (script).sql” or “./ (script).sql”. Interacting with the database The last requirement of this project is to develop either a stand-alone software package or a website that interacts with your database, using whatever programming language or web technology that you wish. Your program or website should be able to do as much as possible of the following: 1. Display all listings and their associated property info. Break out separate lists for houses and business properties. 2. Search houses based on price range, number of bedrooms, and number of bathrooms. 3. Search business properties based on price range and range of size in square feet. 4. Display all agents and their associated info. 5. Display all buyers and their associated info, including preferences.