Consider the following Database Schema. CUSTOMER PK CUR CODE INVOICE LINE PK IY HUMBER contains PKFK1 Y NUMAER PK HTnerates LINE HUMBER CUS LNAME cus FNAME Cus INITIAL CUS AREACODE Cus PHONE CUs BALANCE FKI CUS CODE NV DATE P FK2 P CODE LINE UNITS LINE PRICE is found in VENDOR PROCUCT PK Y CODE PK PCODE V_NAME V CONTACT HO-- -o VAREACODE V PHONE V STATE V ORDER P DESCRIPT PINDATE P QOH PMIN PPRICE P DISCOUNT FK1 V CODE Write a SQL query to list the product code, vendor code, and vendor name for all products and includes those vendors with no matching products.
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- Explain this code detail by detail like putting comments private void table_update() { int CC; try { // It is for SOMETHING ETC.*** Class.forName("com.mysql.jdbc.Driver"); con1 = DriverManager.getConnection("jdbc:mysql://localhost/linda","root",""); insert = con1.prepareStatement("SELECT * FROM record"); ResultSet Rs = insert.executeQuery(); ResultSetMetaData RSMD = Rs.getMetaData(); CC = RSMD.getColumnCount(); DefaultTableModel DFT = (DefaultTableModel) jTable1.getModel(); DFT.setRowCount(0); while (Rs.next()) { Vector v2 = new Vector(); for (int ii = 1; ii <= CC; ii++) { v2.add(Rs.getString("id")); v2.add(Rs.getString("name")); v2.add(Rs.getString("mobile")); v2.add(Rs.getString("course")); }…help me java web (Can you guide the solution?) 1)file db DbContext public class DBContext { protected Connection connection; public DBContext() { try { String user = "sa"; String pass = "123456789"; String url = "jdbc:sqlserver://MSI:1433;databaseName=MyOrder"; Class.forName("com.microsoft.sqlserver.jdbc.SQLServerDriver"); connection = DriverManager.getConnection(url, user, pass); } catch (ClassNotFoundException | SQLException ex) { Logger.getLogger(DBContext.class.getName()).log(Level.SEVERE, null, ex); } } } 2)public class DBContext1 { public Connection getConnection()throws Exception { String url = "jdbc:sqlserver://"+serverName+":"+portNumber +";databaseName="+dbName; Class.forName("com.microsoft.sqlserver.jdbc.SQLServerDriver"); return DriverManager.getConnection(url, userID, password); } private final String serverName =…1. The student data file contains the following attributes: - Id: Integer (2 bytes) - Name: Varchar(16) (16 bytes) - Age: Integer (2 bytes) - Phone: Varchar(10) ( bytes) There are 10,000 records in this data file. We want to store the data file in a hard drive with the block(page) size = 1024 bytes. 1.1 How many blocks or pages that need for storing this data file in a hard drive? (3 pts.) 1.2 If we store the data file in SQLite, how many blocks or pages that need for the storing?
- I need help debugging this. // Cooper College maintains a master file of students and credits // earned. Each semester the master is updated with a transaction // file that contains credits earned during the semester. // Each file is sorted in Student ID number order. start Declarations num masterID string masterName num masterCredits num transID num transCredits string bothDone = "N" num HIGH_VALUE = 999999 InputFile master InputFile trans OutputFile newMaster getReady() while bothDone = "N" detailLoop() endwhile allDone() stop getReady() open master "studentFile.dat" open trans "semesterCredits.dat" open newMaster "updatedStudentFile.dat" readMaster() readTrans() checkBoth() return readMaster() input masterID, masterName, masterCredits from master if eof then masterID = HIGH_VALUE endif return readTrans() input transID, transCredits from trans if eof then…Please help with the 1 Python question Data File: https://docs.google.com/spreadsheets/d/1-S_xnAQXa1QCoWQt7xyvxo42XRNC1QBd/edit?usp=sharing&ouid=112107649557425878726&rtpof=true&sd=true %%capture############################################################## EXECUTE THIS CELL BEFORE YOU TO TEST YOUR SOLUTIONS ##############################################################import imp, os, syssol = imp.load_compiled("solutions", "./solutions.py")sol.get_solutions("imdb.xlsx")from nose.tools import assert_equalfrom pandas.util.testing import assert_frame_equal, assert_series_equal # Loading the dataimport pandas as pdimport numpy as np xls = pd.ExcelFile('imdb.xlsx')df = xls.parse('imdb')df_directors = xls.parse('directors')df_countries = xls.parse('countries') df = pd.merge(left=df, right=df_countries, how='inner', left_on='country_id', right_on='id') df = pd.merge(left=df, right=df_directors, how='inner', left_on='director_id',…from io import BytesIOimport sqlite3import pandas as pdimport osimport picklesqliteConnection = Noneclass student:def __init__(self,first,last):self.first = firstself.last = lastdef to_bytes(self):import picklereturn pickle.dumps(self) def convert2Blog(filename):with open(filename, 'rb') as file:blobData = file.read()return blobDatadef connect(dbname):global sqliteConnectiontry:sqliteConnection = sqlite3.connect(dbname)cursor = sqliteConnection.cursor()print("Database created and Successfully Connected to SQLite")select_Query = "select sqlite_version();"print("Search query: ",select_Query)cursor.execute(select_Query)record = cursor.fetchall()print("SQLite Database Version is: ", record)except sqlite3.Error as error:print("Error while connecting to sqlite", error)def deleteRecord(id):global sqliteConnectiontry:cursor = sqliteConnection.cursor()delete_query = "DELETE from Database where id = "+str(id)print("Delete query:…
- Which of the keys below are not supported by a relational database? a. Foreign keys b. Composite keys c. Dynamic keys d. Primary keys In InfluxDB, it is advantageous to store data used in search queries using tags rather than fields. What is the advantage of storing data in tags over fields? a. Tags are indexed which improves search speed. b. Tags retain the datatype of the data whereas fields converting every data to string. c. It is easier to write search query using tags rather than fields. d. Data stored in tags can be easily exported to other formats. Our Neo4j database consists of ‘Student’ and ‘Course’ nodes. A student node is connected to course node via a relationship ‘STUDIES_IN’. Write a query to retrieve all courses that the student ‘Peter Parker’ is enrolled in? a. a) RETURN c WHERE (: Student { name: ‘Peter Parker’ }) –[:STUDIES_IN]-> (c:Course) b.…Create a new database (named MyUniversity) Student (sid: integer, sname: string(100 chars), GPA: real, dateOfBirth: date, Did: integer, FirstYear: integer) Department (did: integer, dname: string(30 chars), capacity: integer) Course (cid: integer, cname: string(50 chars), credit: integer) Enroll (studentID: integer, courseID: integer, departmentID: integer, enrollmentDate: date, finalGrade: real) studentID, courseID, and departmentID in Enroll are foreign keys referencing the primary keys of the student, course, and department relations, respectively. Did in Student is a foreign key referencing the primary key of the department relation. Using SQL create these relations under the MyUniversity database. Place the constraints (e.g., default values, check, primary keys) you find appropriate:Create a new database (named MyUniversity) Student (sid: integer, sname: string(100 chars), GPA: real, dateOfBirth: date, Did: integer, FirstYear: integer) Department (did: integer, dname: string(30 chars), capacity: integer) Course (cid: integer, cname: string(50 chars), credit: integer) Enroll (studentID: integer, courseID: integer, departmentID: integer, enrollmentDate: date, finalGrade: real) studentID, courseID, and departmentID in Enroll are foreign keys referencing the primary keys of the student, course, and department relations, respectively. Did in Student is a foreign key referencing the primary key of the department relation. Using SQL, develop and execute the following queries: For each student with GPA between 2.5 (included) and 3.5 (included), display the student’s name, GPA,and his/her department ID. Sort the results by the students’ IDs in descending order. For each student who joined the Computer Science department between 2018 (included) and 2020(included), display…
- Create a new database (named MyUniversity) Student (sid: integer, sname: string(100 chars), GPA: real, dateOfBirth: date, Did: integer, FirstYear: integer) Department (did: integer, dname: string(30 chars), capacity: integer) Course (cid: integer, cname: string(50 chars), credit: integer) Enroll (studentID: integer, courseID: integer, departmentID: integer, enrollmentDate: date, finalGrade: real) studentID, courseID, and departmentID in Enroll are foreign keys referencing the primary keys of the student, course, and department relations, respectively. Did in Student is a foreign key referencing the primary key of the department relation. Using SQL, insert (random but meaningful) data records in the above tables. Create at least four different courses that include Operating Systems (3 credit hours), Data Bases (4 credithours), and Marketing (5 credit hours) courses – consider one more course. Create three departments that include a Computer Science department and a Business department…Given the relational database shop defined in the script below; create database shop;use shop; create table users( id int null auto_increment, firstname varchar(255), lastname varchar(255) not null, primary key (id)); create table items( id int null auto_increment, name varchar(255), price float, primary key (id)); create table orders( id int null auto_increment, id_users int not null, id_items int not null, primary key (id), foreign key (id_users) references users(id), foreign key (id_items) references items(id)); write three SQL queries to answer the following questions 1.- All products(items) in the shop catalog; product code, name and price 2.- Products sold in the shop; product code, name and price and full name of buyer. 3.- Products in stock (not sold); product code, name and pricecreate Database CTU_YOURICASNOGOUSE CTU_YOURICASNO;GOCREATE TABLE Course( CourseID int PRIMARY KEY, CourseName varchar(255), CourseDesc varchar(255),);CREATE TABLE Students( ICASNo int Primary Key, StudentName varchar (255)NOT NULL, StudentSurname varchar (255)NOT NULL, StudentContact varchar (255)NOT NULL, StudentEmail varchar(255)NOT NULL, HighSchoolAttended varchar(255)NOT NULL, courseID int,);CREATE TABLE Semester( SemesterID int Primary Key, SemesterStartDate varchar(255)NOT NULL, SemesterEndDate varchar(255)NOT NULL, ICASNo varchar(255),);CREATE TABLE Facilitator( FacilitatorID int Primary Key, FacilitatorName varchar(255) Not Null, FacilitatorContact varchar(255)Not Null, FacilitatorEmail varchar(255)Not Null, ICASNo varchar(255)Not Null, ); CREATE TABLE Module( ModuleID int Primary Key, ModuelName varchar(255)Not Null, ModuleDuration varchar(255)Not Null, FacilitatorID varchar(255)Not Null,); Using the…