Question: USING LINUX IN MYSQL 1) Find all line items that are higher in price than all those sold by Mary Halvorson. 2) Select all columns

USING LINUX IN MYSQL

1) Find all line items that are higher in price than all those sold by Mary Halvorson.

2) Select all columns from orders table, then using a join, get the customer last name from customer table, and have it print in alphabetical order by customer's last name.

3) Modify order #3 of the orders table. (Modify any of the attributes of order #3, such as order date, customer number, etc.)l print all data of the orders table before and after the modification.

4) Delete orders #18 and higher from, the orders table; print all data of the orders table before and after the deletion.

mysql> select * from customer; +-------+----------+---------+ | fname | lname | acctnum | +-------+----------+---------+ | Heidi | Wonder | 4552 | | Sam | Goodwin | 3679 | | Marge | Toledo | 1234 | | Frank | James | 5623 | | Scott | Newcomer | 7654 | +-------+----------+---------+ 5 rows in set (0.00 sec)

mysql> select * from orders; +---------+----------+------------+----------+-------------+ | acctnum | ordernum | orderdate | storenum | salesrepnum | +---------+----------+------------+----------+-------------+ | 4552 | 3 | 2004-01-03 | 1 | 1 | | 3679 | 6 | 2004-01-05 | 1 | 1 | | 1234 | 7 | 2004-01-07 | 1 | 2 | | 5623 | 8 | 2004-01-09 | 1 | 2 | | 4552 | 9 | 2004-01-11 | 1 | 3 | | 3679 | 10 | 2004-01-13 | 1 | 3 | | 1234 | 11 | 2004-01-15 | 1 | 1 | | 5623 | 12 | 2004-01-17 | 1 | 2 | | 4552 | 13 | 2004-01-19 | 1 | 3 | | 3679 | 14 | 2004-01-21 | 1 | 3 | | 1234 | 15 | 2004-01-23 | 1 | 2 | | 5623 | 16 | 2004-01-25 | 1 | 1 | | 4552 | 17 | 2004-01-27 | 1 | NULL | +---------+----------+------------+----------+-------------+ 13 rows in set (0.00 sec)

mysql> select * from order_detail; +----------+---------+----------------------+------+--------+-----------+ | ordernum | linenum | prodnum | qty | color | unitprice | +----------+---------+----------------------+------+--------+-----------+ | 3 | 1 | Bike28A | 1 | Red | 300.00 | | 6 | 1 | Bike28A | 2 | Blue | 259.00 | | 7 | 1 | Bike28A | NULL | Green | 525.00 | | 8 | 1 | Bike28B | 3 | Red | 455.00 | | 8 | 2 | ridinggloves | 7 | White | 60.00 | | 9 | 1 | Bike28B | 2 | Blue | 255.00 | | 10 | 1 | Bike28B | 5 | Green | 199.00 | | 11 | 1 | Moped77 | 1 | Black | 955.00 | | 12 | 1 | Bike31A | 1 | Red | 525.00 | | 12 | 2 | Helmet | 4 | Red | 75.00 | | 13 | 1 | Bike31A | 1 | Blue | 455.00 | | 14 | 1 | Bike28 | 1 | Orange | 255.00 | | 15 | 1 | Bike28Cruiser | 3 | White | 199.00 | | 16 | 1 | Bike28Schwinn | 1 | Red | 955.00 | | 17 | 1 | SchwinBike28Mountain | 2 | Blue | 855.00 | +----------+---------+----------------------+------+--------+-----------+ 15 rows in set (0.00 sec) mysql> select * from product; +----------------------+-------------------------+---------------+----------+----------+ | prodnum | prodname | prodsupy | colorgrp | prodcost | +----------------------+-------------------------+---------------+----------+----------+ | Bike28 | standard29InBike | Generic | 8colors | NULL | | Bike28A | Trek28InBike | Trek | 8colors | NULL | | Bike28B | Speedo28InBike | Speedo | 8colors | NULL | | Bike28Cruiser | Cruiser28InBike | AmBike | 8colors | NULL | | Bike28Schwinn | Schwinn28InBike | Schwinn | 8colors | NULL | | Bike31A | Trek31InBike | Trek | 8colors | NULL | | Helmet | standardhelmet | AmManuf | RWB | NULL | | Moped77 | Moped77KPN | KPNEnterprise | WhtBlk | NULL | | ridinggloves | standardRidingGloves | RidingSuppInc | WhtBlk | NULL | | SchwinBike28Mountain | Schwinn28InMountainBike | Schwinn | 8colors | NULL | +----------------------+-------------------------+---------------+----------+----------+ 10 rows in set (0.00 sec)

mysql> select * from salesrep; +-------------+------------+------------+-------------+------------+------------+------------+ | salesrepnum | salesfname | saleslname | salesssn | saleshdate | saleshrate | salesbonus | +-------------+------------+------------+-------------+------------+------------+------------+ | 1 | Mike | Smith | 222-33-4444 | 2001-01-01 | 25 | 4000.00 | | 2 | Alice | Johnson | 999-11-8888 | 2004-05-01 | 27 | 8000.00 | | 3 | Mary | Halvorson | 333-00-9999 | 2004-06-01 | 22 | NULL | +-------------+------------+------------+-------------+------------+------------+------------+ 3 rows in set (0.00 sec)

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer
Step: 1 Unlock blur-text-image
Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock
Step: 3 Unlock

Students Have Also Explored These Related Databases Questions!