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101 changes: 97 additions & 4 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,9 +1,10 @@
# java-sql

A student that completes this project shows that they can:
* Query data from a single table
* Query data from multiple tables
* Create a new datadaase using PostgreSQL

- Query data from a single table
- Query data from multiple tables
- Create a new datadaase using PostgreSQL

# Introduction

Expand All @@ -17,48 +18,108 @@ Answer the following data queries. Keep track of the SQL you write by pasting it
### **Clicking the `Restore Database` button in the page will repopulate the database with the original data and discard all changes you have made**.

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

> This can be done with SELECT and WHERE clauses
> SELECT \*
> FROM Customers
> WHERE city = 'London'
> ORDER BY city

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

> This can be done with SELECT and WHERE clauses
> SELECT \*
> FROM Customers
> WHERE PostalCode = '1010'
> ORDER BY ContactName

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

> This can be done with SELECT and WHERE clauses
> SELECT phone
> FROM Suppliers
> WHERE SupplierId = '11'

### list orders descending by the order date. The order with date 1997-02-12 should be at the top.

> This can be done with SELECT, WHERE, and ORDER BY clauses
> SELECT \*
> FROM orders
> ORDER BY OrderDate desc

### find all suppliers who have names longer than 20 characters. You can use `length(SupplierName)` to get the length of the name. Returns 11 records.

> This can be done with SELECT and WHERE clauses
> SELECT \*
> FROM suppliers
> WHERE length(SupplierName) > 20
> ORDER BY SupplierName

### find all customers that include the word "market" in the name. Should return 4 records.

> 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
> SELECT \*
> FROM customers
> WHERE CustomerName LIKE '%market%'

### add a customer record for _"The Shire"_, the contact name is _"Bilbo Baggins"_ the address is _"1 Hobbit-Hole"_ in _"Bag End"_, postal code _"111"_ and the country is _"Middle Earth"_.

> This can be done with the INSERT INTO clause
> INSERT INTO customers(CustomerName, ContactName, Address, City, PostalCode, Country)
> VALUES('The Shire', 'Bilbo Baggins', '1 Hobbit Hole', 'Bag End', '111', 'Middle Earth')

### update _Bilbo Baggins_ record so that the postal code changes to _"11122"_.

> This can be done with UPDATE and WHERE clauses
> UPDATE customers
> SET PostalCode = '11122'
> WHERE ContactName = 'Bilbo Baggins'

### list orders grouped by customer showing the number of orders per customer. _Rattlesnake Canyon Grocery_ should have 7 orders.

> 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](https://www.w3schools.com/sql/sql_count_avg_sum.asp)
> SELECT COUNT(o.CustomerID) as BuyCount, c.CustomerID, c.CustomerName
> FROM orders o JOIN customers c
> ON o.CustomerID = c.CustomerID
> GROUP BY c.CustomerName

### list customers names and the number of orders per customer. Sort the list by number of orders in descending order. _Ernst Handel_ should be at the top with 10 orders followed by _QUICK-Stop_, _Rattlesnake Canyon Grocery_ and _Wartian Herkku_ with 7 orders each.

> This can be done by adding an ORDER BY clause to the previous answer
> SELECT COUNT(o.CustomerID) as BuyCount, c.CustomerID, c.CustomerName
> FROM orders o JOIN customers c
> ON o.CustomerID = c.CustomerID
> GROUP BY c.CustomerName
> ORDER BY BuyCount DESC, c.CustomerName

### list orders grouped by customer's city showing number of orders per city. Returns 58 Records with _Aachen_ showing 2 orders and _Albuquerque_ showing 7 orders.

> This is very similar to the previous two queries, however, it focuses on the City rather than the CustomerName
> SELECT c.City, COUNT(o.CustomerID) as BuyCount
> FROM customers c JOIN orders o
> ON c.CustomerID = o.CustomerID
> GROUP BY c.City

### delete all customers that have no orders. Should delete 17 (or 18 if you haven't deleted the record added) records.

> This is done with a DELETE query

> In the WHERE clause, you can provide another list with an IN keyword this list can be the result of another SELECT query. Write a query to return a list of CustomerIDs that meet the criteria above. Pass that to the IN keyword of the WHERE clause as the list of IDs to be deleted

> DELETE FROM Customers
> WHERE CustomerID NOT IN (
> SELECT CustomerID

FROM Orders)

> Use a LEFT JOIN to join the Orders table onto the Customers table and check for a NULL value in the OrderID column
> SELECT c.CustomerName, c.CustomerID, c.ContactName, o.OrderDate
> FROM customers c LEFT JOIN orders o
> ON c.CustomerID = o.CustomerID
> GROUP BY 1

## Create Database and Table

Expand All @@ -72,6 +133,38 @@ Answer the following data queries. Keep track of the SQL you write by pasting it
- `budget` numeric value.

- constraints

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

> SCRIPT
> -- Table: public.accounts

<!-- -- DROP TABLE public.accounts;

CREATE TABLE public.accounts
(
id integer NOT NULL DEFAULT nextval('accounts_id_seq'::regclass) ( INCREMENT 1 START 1 MINVALUE 1 MAXVALUE 2147483647 CACHE 1 ),
name character varying[] COLLATE pg_catalog."default" NOT NULL,
budget numeric[] NOT NULL,
CONSTRAINT accounts_pkey PRIMARY KEY (id),
CONSTRAINT "NameUNQ" UNIQUE (name)

)
WITH (
OIDS = FALSE
)
TABLESPACE pg_default;

ALTER TABLE public.accounts
OWNER to postgres;

-- Index: NameIndex

-- DROP INDEX public."NameIndex";

CREATE INDEX "NameIndex"
ON public.accounts USING btree
(name COLLATE pg_catalog."default")
TABLESPACE pg_default; -->