A student that completes this project shows that they can:

• Query data from a single table
• Query data from multiple tables
• Create a new database using PostgreSQL

Working with SQL

Reimport the Northwind database into PostgreSQL using pgAdmin. This is the same data we used during the guided project. You can find a copy of the SQL script under the assets folder in this repository.

• pgAdmin data refresh

• Select the northwind database created during the guided project.

• Tools -> Query Tool

  • Open file northwind.sql (you used this script during the guided project)
  • Execute

• Look under

  • northwind -> Schemas -> public -> tables

• Clear query windows

• find all customers that live in London. Returns 6 records

  hint

  • This can be done with SELECT and WHERE clauses

  select *
  from customers
  where city = 'London';

• find all customers with postal code 1010. Returns 3 customers

  hint

  • This can be done with SELECT and WHERE clauses

  select *
  from customers
  where postal_code = '1010'

• find the phone number for the supplier with the id 11. Should be (010) 9984510

  hint

  • This can be done with SELECT and WHERE clauses

  select phone
  from suppliers
  where supplier_id = '11'

• list orders descending by the order date. The order with date 1998-05-06 should be at the top

  hint

  • This can be done with SELECT, WHERE, and ORDER BY clauses

  select *
  from orders
  order by order_date desc

• find all suppliers who have names longer than 20 characters. Returns 11 records

  hint

  • This can be done with SELECT and WHERE clauses
  • You can use length(company_name) to get the length of the name

  select *
  from suppliers
  where length(company_name) > 20;

• find all customers that include the word 'MARKET' in the contact title. Should return 19 records

  hint

  • This can be done with SELECT and a WHERE clause using the LIKE keyword
  • Don't forget the wildcard '%' symbols at the beginning and end of your substring to denote it can appear anywhere in the string in question
  • Remember to convert your contact title to all upper case for case insensitive comparing so upper(contact_title)

  select *
  from customers
  where contact_title like '%Market%'

• add a customer record for

• customer id is 'SHIRE'

• company name is 'The Shire'

• contact name is 'Bilbo Baggins'

• the address is '1 Hobbit-Hole'

• the city is 'Bag End'

• the postal code is '111'

• the country is 'Middle Earth'

  hint

  • This can be done with the INSERT INTO clause

  insert into customers (customer_id, company_name, contact_name, address, city, postal_code, country)
  values('Shire', 'The Shire', 'Bilbo Baggins', '1 Hobbit-Hole', 'Bag End', '111', 'Middle Earth');

• update Bilbo Baggins record so that the postal code changes to "11122"

  hint

  • This can be done with UPDATE and WHERE clauses

  update customers
  set postal_code='11122'
  where customer_id = 'Shire';

• list orders grouped and ordered by customer company name showing the number of orders per customer company name. Rattlesnake Canyon Grocery should have 18 orders

  hint

  • This can be done with SELECT, COUNT, JOIN and GROUP BY clauses. Your count should focus on a field in the Orders table, not the Customer table
  • There is more information about the COUNT clause on W3 Schools

  select count(orders.customer_id), customers.company_name
  from orders
  join customers on orders.customer_id = customers.customer_id
  group by customers.company_name;

• list customers by contact name and the number of orders per contact name. Sort the list by the number of orders in descending order. Jose Pavarotti should be at the top with 31 orders followed by Roland Mendal with 30 orders. Last should be Francisco Chang with 1 order

  hint

  • This can be done by adding an ORDER BY clause to the previous answer and changing the group by field

  select count(orders.customer_id), customers.contact_name
  from orders
  join customers on orders.customer_id = customers.customer_id
  group by customers.contact_name
  order by count(orders.customer_id) desc;

• list orders grouped by customer's city showing the number of orders per city. Returns 69 Records with Aachen showing 6 orders and Albuquerque showing 18 orders

  hint

  • This is very similar to the previous two queries, however, it focuses on the City rather than the Customer Names

  select count(orders.customer_id), orders.ship_city
  from orders
  group by orders.ship_city
  order by orders.ship_city desc;

Note: This step does not use PostgreSQL!

• Take the following data and normalize it into a 3NF database

Below are some empty tables to be used to normalize the database

• Not all of the cells will contain data in the final solution
• Feel free to edit these tables as necessary

Table Name: Persons

Table Name:

Table Name:

Table Name:

• delete all customers that have no orders. Should delete 2 (or 3 if you haven't deleted the record added) records

• Create Database and Table: After creating the database, tables, columns, and constraint, generate the script necessary to recreate the database. This script is what you will submit for review

• use pgAdmin to create a database, naming it budget.

• add an accounts table with the following schema:

  • id, numeric value with no decimal places that should autoincrement.
  • name, string, add whatever is necessary to make searching by name faster.
  • budget numeric value.

• constraints

  • the id should be the primary key for the table.
  • account name should be unique.
  • account budget is required.

To see the script

• Right Click on the database name
  • Select Backup...
    • Set a filename
      • To put the file backup.sql in your home directory, you could use backup.sql
    • Set format to Plain
• The script you want is now in the text file named above.
  • Copy the script from the text file into the SQL code block above!