Skip to content
Closed
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
83 changes: 83 additions & 0 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -19,47 +19,100 @@ Answer the following data queries. Keep track of the SQL you write by pasting it
### 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';

### 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';

### 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 LEN(SupplierName) > 20;

### 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

SELECT Orders.CustomerID,COUNT(Orders.OrderDate)
FROM Orders

GROUP BY Orders.CustomerID
ORDER BY COUNT(Orders.OrderDate) DESC;

> There is more information about the COUNT clause on [W3 Schools](https://www.w3schools.com/sql/sql_count_avg_sum.asp)

### 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 Orders.OrderID, Customers.CustomerName, COUNT(Orders.OrderDate)
FROM Orders
LEFT JOIN Customers ON Orders.CustomerID=Customers.CustomerID
GROUP BY Customers.CustomerName
ORDER BY COUNT(Orders.OrderDate) DESC;


### 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

OR

SELECT Orders.OrderID, Customers.City, COUNT(Orders.OrderDate)
FROM Customers
LEFT JOIN Orders ON Orders.CustomerID=Customers.CustomerID
GROUP BY Customers.City
ORDER BY COUNT(Orders.OrderDate) DESC;

### 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

> Use a LEFT JOIN to join the Orders table onto the Customers table and check for a NULL value in the OrderID column

DELETE FROM Customers WHERE CustomerID IN(SELECT CustomerID FROM (SELECT Orders.OrderID, Customers.CustomerID, Customers.CustomerName, COUNT(Orders.OrderDate)
FROM Customers
LEFT JOIN Orders ON Orders.CustomerID=Customers.CustomerID
GROUP BY Customers.CustomerName
)WHERE OrderID IS NULL)


## Create Database and Table

### Keep track of the code you write and paste at the end of this document
Expand All @@ -75,3 +128,33 @@ Answer the following data queries. Keep track of the SQL you write by pasting it
- the `id` should be the primary key for the table.
- account `name` should be unique.
- account `budget` is required.

-- 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 "char"[],
budget integer[] NOT NULL,
CONSTRAINT accounts_pkey PRIMARY KEY (id),
CONSTRAINT "nameUnique" 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)
TABLESPACE pg_default;