Answered: FIRST NAME LAST_NAME SALARY John…

FIRST NAME LAST_NAME SALARY John Russell 14000 .4 Karen Partners 13500 .3 Alberto Errazuriz 12000 .3 Gerald Cambrault 11000 .3 Lisa Ozer 11500 .25 Ellen Abel 11000 .3 6 rows selected.

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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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")); }…
Sort results by reverse domain: Create a data category. Domain that depicts domain names, including a suitable compareTo() function where the natural order is in reverse domain name order. For example, cs.princeton.edu's mirror name is edu.princeton.cs. This is helpful for analysing site logs. Use s.split(".") to divide the string s into pieces separated by underscores. Create a client that takes normal input and displays the reverse domains in sorted order.
MySql Workbench CREATE TABLE students ( id INT PRIMARY KEY, first_name VARCHAR(50), last_name VARCHAR(50), age INT, major VARCHAR(50), faculty VARCHAR(50)); CREATE TABLE location ( id INT PRIMARY KEY, name VARCHAR(50), rooms INT); CREATE TABLE faculty ( id INT PRIMARY KEY, name VARCHAR(50), department_id INT); 1. List last name of all students whose first name is longer than 4 letters in ascending order accordingto the last name. Duplicated rows should be removed from the output.2. Count the total number of rooms in Location.3. Find the number of students in each major.4. Find the number of employees in each department who get no commission or have salary less than5000.5. Find the maximum salary of employees in each department that the employee was hired 15 yearsbefore now. *hint: user TIMESTAMPDIFF(<unit type>,<Date_value 1>,<Date_value 2>), the unitcan be YEAR, MONTH, DAY, HOUR, etc...
Data Structure & Algorithm: Oware ( Warri) is a game popular in some countries of the Caribbean and Western Africa. For information about this game please see the various links below. https://www.bbc.com/news/world-latin-america-56814500 https://en.wikipedia.org/wiki/Oware https://youtu.be/0paedEX0Ixw https://www.youtube.com/watch?v=ZkyPd7ftxaw What data structures and programming algorithms you would use, and at what point and why? You are free to provide drawings and code segments to make your case.
Please correct the code for this lab. Current code: import random def create_random_open_ports(): #Create empty list / dictionary port = [] ports = {} #Fill list with 100 random port numbers from 10 - 100 for i in range(1,101): random_port = random.randint(10, 100) port.append(random_port) #Create a new dictionary with ports numbers as keys new_ports = ports.fromkeys(port, 0) #Iterate through new dictionary add random 0 / 1 #Closed port = 0, Open port = 1 for key in new_ports: r1 = random.randint(0,1) new_ports[key] = r1 return new_ports # TODO: create a function called create_host_IPs() that randomly generates a list of 10 IP addresses # concatenating the 4 values into a string and appending it to a host list. The function returns the generated # host list def create_host_IPs(): host = [] octet1 = "" octet2 = "" octet3 = "" octet4 = "" #Add loop with range 1 - 11 to create the 10 host IPs EX: 192.123.11.1…
import csvdicta = {}csv_reader = csv.reader(f, delimiter=") for row in csv_reader:ncol = len(row) for i in range (ncol):if((i%2==0) and (i<ncol-1) and (int(row[i+1]) < 9 orint(row[i+1])>17)):dicta[row[i]] = row[i+1]if len(dicta)==0:dictionaryprint("No anomaly login attemps")else:print("Anomaly login attempts: ",end = "")for key, value in dicta.items():print(key:value,end=""). print("\n")
There are three tables in this database (see image). Write MYSQL code for: (1) Create a trigger “insert_inventory” on table “Inventory”. The trigger is fired after a row is inserted in table “Inventory”. After a row is inserted in table “inventory”, the “itemid”, the insertion time, and the action is inserted in table “Inventory_history”. The action is set to ‘add an item’. The oldprice is set to null. Test your trigger by inserting a row into Inventory and displaying the contents of Inventory_history. (2) Create a trigger “change_quantity” on table “Transaction”. The trigger is fired after a row is inserted in table “Transaction”. After a row is inserted in table “Transaction”, update the “quantity” in table “Inventory”. For example, if 3 iWatch are sold, then the quantity of iWatch in table “Inventory” is decreased by 3. Test your trigger by inserting a row into Transaction and displaying the contents of the relevant row in Inventory. (3) Create a trigger “change_price” on table…
Given the following query SELECT StudID, CourseTitle, CreditsFROM Enrollment, CourseWHERE Enrollment.CourseTitle = Course.CourseTitle ANDEnrollment.Decision = TRUE and Course.Credits > 4which of the following indexes could NOT be useful inspeeding-up the query? a) tree-based index on Enrollment.CourseTitleb) hash-based index on Enrollment.Decisionc) hash-based index on Course.CourseTitled) hash-based index on Course.Credits Can someone explain me step by step which is the correct answer and why,please?
Course: Database *(SQL)* Please excute the given SQL script (https://drive.google.com/file/d/1zxe_aOhERjVCL54_zbgSLkFTRHYQhOPW/view?usp=sharing) for accessing the data. The data is described in the following relation schemas: Airport (airportID, name, city) Passenger (ticketNo, name, nationality, flightNo, seatNo)FK: flightNo references Flight (flightNo)FK: seatNo references Seat (seatNo) Flight (flightNo, flightCompany, departAirport, arrivalAirport)FK: departAirport references Airport (airportID)FK: arrivalAirport references Airport (airportID) Seat (seatNo, flightNo, class)FK: flightNo references Flight (flightNo) #Construct the SQL statements based on following transactions: Transaction SQL Statement Retrieve the flight number, departure and arrival airports of all British Airways. Retrieve the name of every passenger together with their flight number and the associated company. Retrieve all flights departed from all airports in London. Retrieve the ticket numbers…
Course: Database *(SQL)* Please excute the given SQL script (https://drive.google.com/file/d/1zxe_aOhERjVCL54_zbgSLkFTRHYQhOPW/view?usp=sharing) for accessing the data. The data is described in the following relation schemas: Airport (airportID, name, city) Passenger (ticketNo, name, nationality, flightNo, seatNo)FK: flightNo references Flight (flightNo)FK: seatNo references Seat (seatNo) Flight (flightNo, flightCompany, departAirport, arrivalAirport)FK: departAirport references Airport (airportID)FK: arrivalAirport references Airport (airportID) Seat (seatNo, flightNo, class)FK: flightNo references Flight (flightNo) #Construct the SQL statements based on following transactions:1. Retrieve all rows in Airport table for all the airports in London city.2. Retrieve all British and German passengers.3. Retrieve all names of all the passengers.4. Retrieve the flight number, departure and arrival airports of all British Airways.5. Retrieve the name of every passenger together with their…
Course: Database *(SQL)* Please excute the given SQL script (https://drive.google.com/file/d/1zxe_aOhERjVCL54_zbgSLkFTRHYQhOPW/view?usp=sharing) for accessing the data. The data is described in the following relation schemas: Airport (airportID, name, city) Passenger (ticketNo, name, nationality, flightNo, seatNo)FK: flightNo references Flight (flightNo)FK: seatNo references Seat (seatNo) Flight (flightNo, flightCompany, departAirport, arrivalAirport)FK: departAirport references Airport (airportID)FK: arrivalAirport references Airport (airportID) Seat (seatNo, flightNo, class)FK: flightNo references Flight (flightNo) #Construct the SQL statements based on following transactions: Transaction SQL Statement Retrieve all rows in Airport table for all the airports in London city. Retrieve all British and German passengers. Retrieve all names of all the passengers. Retrieve the flight number, departure and arrival airports of all British Airways. Retrieve the name of…
Course: Database *(SQL)* Please excute the given SQL script (https://drive.google.com/file/d/1zxe_aOhERjVCL54_zbgSLkFTRHYQhOPW/view?usp=sharing) for accessing the data. The data is described in the following relation schemas: Airport (airportID, name, city) Passenger (ticketNo, name, nationality, flightNo, seatNo)FK: flightNo references Flight (flightNo)FK: seatNo references Seat (seatNo) Flight (flightNo, flightCompany, departAirport, arrivalAirport)FK: departAirport references Airport (airportID)FK: arrivalAirport references Airport (airportID) Seat (seatNo, flightNo, class)FK: flightNo references Flight (flightNo) #Construct the SQL statements based on following transactions: please if you could give all the sql statements needed i will appreciate that, and i promise to put thump up Transaction SQL Statement Retrieve all rows in Airport table for all the airports in London city. Retrieve all British and German passengers. Retrieve all names of all the passengers.…