In the SQL Oracle Application List all employees who have not changed jobs even once. (Such employees are not found in the job_history table)
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In the SQL Oracle Application
List all employees who have not changed jobs even once. (Such employees are not found in the job_history table)
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- CUSTOMERColumns = 7, Rows = 10 CustomerID LastName FirstName Address ZIP Phone Email 1 Shire Robert 6225 Evanston Ave N 98103 206-524-2433 Robert.Shire@somewhere.com 2 Goodyear Katherine 7335 11th Ave NE 98105 206-524-3544 Katherine.Goodyear@somewhere.com 3 Bancroft Chris 12605 NE 6th Street 98005 425-635-9788 Chris.Bancroft@somewhere.com 4 Griffith John 335 Aloha Street 98109 206-524-4655 John.Griffith@somewhere.com 5 Tierney Doris 14510 NE 4th Street 98005 425-635-8677 Doris.Tierney@somewhere.com 6 Anderson Donna 1410 Hillcrest Parkway 98273 360-538-7566 Donna.Anderson@elsewhere.com 7 Svane Jack 3211 42nd Street 98115 206-524-5766 Jack.Svane@somewhere.com 8 Walsh Denesha 6712 24th Avenue NE 98053 425-635-7566 Denesha.Walsh@somewhere.com 9 Enquist Craig 534 15th Street 98225 360-538-6455 Craig.Enquist@elsewhere.com 10 Anderson Rose 6823 17th Ave NE 98105 206-524-6877 Rose.Anderson@elsewhere.com EMPLOYEEColumns = 5, Rows = 5 EmployeeID LastName FirstName…CUSTOMERColumns = 7, Rows = 10 CustomerID LastName FirstName Address ZIP Phone Email 1 Shire Robert 6225 Evanston Ave N 98103 206-524-2433 Robert.Shire@somewhere.com 2 Goodyear Katherine 7335 11th Ave NE 98105 206-524-3544 Katherine.Goodyear@somewhere.com 3 Bancroft Chris 12605 NE 6th Street 98005 425-635-9788 Chris.Bancroft@somewhere.com 4 Griffith John 335 Aloha Street 98109 206-524-4655 John.Griffith@somewhere.com 5 Tierney Doris 14510 NE 4th Street 98005 425-635-8677 Doris.Tierney@somewhere.com 6 Anderson Donna 1410 Hillcrest Parkway 98273 360-538-7566 Donna.Anderson@elsewhere.com 7 Svane Jack 3211 42nd Street 98115 206-524-5766 Jack.Svane@somewhere.com 8 Walsh Denesha 6712 24th Avenue NE 98053 425-635-7566 Denesha.Walsh@somewhere.com 9 Enquist Craig 534 15th Street 98225 360-538-6455 Craig.Enquist@elsewhere.com 10 Anderson Rose 6823 17th Ave NE 98105 206-524-6877 Rose.Anderson@elsewhere.com EMPLOYEEColumns = 5, Rows = 5 EmployeeID LastName FirstName…Following script is given to you at Google Classroom. Run script to generate tables inOracle APEX. EMP (EMPNO, ENAME, JOB, MGR, HIREDATE, SAL, COMM, DEPTNO)DEPT (DEPTNO, DNAME, LOC)SALGRADE (GRADE, LOSAL, HISAL)
- The following table shows a list of pets and their owners that is used by a veterinarian service. P_Name Type Breed DOB Owner O_Phone O_E-mail Kino Dog Std. Poodle 3/27/97 M. Downs 5551236 md@abc.com Teddy Cat Chartraux 4/2/98 M. Downs 1232343 md@abc.com Filo Dog Std. Poodle 2/24/02 R. James 2343454 rj@abc.com AJ Dog Collie Mix 11/12/95 Liz Frier 3456567 liz@abc.com Cedro Cat Unknown 12/10/96 R.James 7865432 rj@abc.com Woolley Cat Unknown 10/2/00 M. Trent 9870678 mt@abc.com Buster Dog Collie 4/4/01 Ronny 4565433 ron@abc.com a. Describe 4 problems that are likely to occur when using this table. b. Break the table into two tables in a way that fixes the four problems.Problem: JMS TechWizards is a local company that provides technical services to several small businesses in the area. The company currently keeps its technicians and clients’ records on papers. The manager requests you to create a database to store the technician and clients’ information. The following table contains the clients’ information. Client Number Client Name Street City State Postal Code Telephone Number Billed Paid Technician Number AM53 Ashton-Mills 216 Rivard Anderson TX 78077 512-555-4070 $315.50 $255.00 22 AR76 The Artshop 722 Fisher Liberty Corner TX 78080 254-555-0200 $535.00 $565.00 23 BE29 Bert's Supply 5752 Maumee Liberty Corner TX 78080 254-555-2024 $229.50 $0.00 23 DE76 D & E Grocery 464 Linnell Anderson TX 78077 512-555-6050 $485.70 $400.00 29 GR56 Grant Cleaners 737 Allard Kingston TX 78084 512-555-1231 $215.00 $225.00 22…Db&__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...
- Please see image for information SQL Code: https://gist.githubusercontent.com/GistMasterPro/89cad4b0f93db12893c238b40d1d1d94/raw/707e8a95b879a58e4eafe21672bae0e1358975eb/sqlcode.sqlAccess Assignment Problem: JMS TechWizards is a local company that provides technical services to several small businesses in the area. The company currently keeps its technicians and clients’ records on papers. The manager requests you to create a database to store the technician and clients’ information. The following table contains the clients’ information. Client Number Client Name Street City State Postal Code Telephone Number Billed Paid Technician Number AM53 Ashton-Mills 216 Rivard Anderson TX 78077 512-555-4070 $315.50 $255.00 22 AR76 The Artshop 722 Fisher Liberty Corner TX 78080 254-555-0200 $535.00 $565.00 23 BE29 Bert's Supply 5752 Maumee Liberty Corner TX 78080 254-555-2024 $229.50 $0.00 23 DE76 D & E Grocery 464 Linnell Anderson TX 78077 512-555-6050 $485.70…As per our guidelines, we are supposed to answer only 1st three parts. Kindly repost the remaining questions separately. 4.1 use gym_29876543 4.2 db.createCollection("userProfiles") db.userProfiles.insertMany([ {"Name" : "Dominic","Surname":"Badeaux","Date_of_Birth":1982-09-04,"FitnessLevel":1}, {"Name" : "John","Surname":"Dlamini","Date_of_Birth":1974-05-18,"FitnessLevel":2} ]) 4.3 db.userProfiles.find() arrow_forward Step 2 Complete code: use gym_29876543 db.createCollection("userProfiles") db.userProfiles.insertMany([ {"Name" : "Dominic","Surname":"Badeaux","Date_of_Birth":1982-09-04,"FitnessLevel":1}, {"Name" : "John","Surname":"Dlamini","Date_of_Birth":1974-05-18,"FitnessLevel":2} ]) db.userProfiles.find() Q.4.4 Query all the user profiles where the fitness level of the user is equal to 2. Q.4.5 Query all the user profiles where the date of birth of the user is from 1980‐01‐01 to1982‐12‐31 (including both dates)
- GIFT MINRETAIL MAXRETAIL--------------- ---------- ----------BOOKMARKER 0 12BOOK LABELS 12.01 25BOOK COVER 25.01 56FREE SHIPPING 56.01 999.99 CREATE SEQUENCE data above for ocale sqlSet up a Google Cloud Platform account. Create a BigQuery dataset named “order_entry_dataset” in your GCP Project. Copy all of the tables from the `handy-bonbon-142723.order_entry_dataset` to your own order_entry_dataset dataset (see example code below). Table names are: products, customers, orders, order_items, promotions, salesreps, warehouses, and inventories. To copy the tables, create an order_entry_dataset in your own GCP Project and then run queries like this (for each table): CREATE TABLE `order_entry_dataset.customers` AS SELECT * FROM `handy-bonbon-142723.order_entry_dataset.customers` Which month (be sure to say from which year) had the largest percentage increase in sales over the prior month? Justify your rationale and show your SQL query (Hint: use the LAG function).Set up a Google Cloud Platform account. Create a BigQuery dataset named “order_entry_dataset” in your GCP Project. Copy all of the tables from the `handy-bonbon-142723.order_entry_dataset` to your own order_entry_dataset dataset (see example code below). Table names are: products, customers, orders, order_items, promotions, salesreps, warehouses, and inventories. To copy the tables, create an order_entry_dataset in your own GCP Project and then run queries like this (for each table): CREATE TABLE `order_entry_dataset.customers` AS SELECT * FROM `handy-bonbon-142723.order_entry_dataset.customers` Write a SQL statement to show the most profitable product overall orders (Note: unit price above Min Price). Only consider products that are available in the US or Canadian warehouses with list price over $50.