SQL Server Archives - SQL Training Online

September 13, 2017 by Joey Blue 2 Comments

Learn Basic SQL – 1 Hour Training Course – SQL Training Online

How to write SQL from scratch in 1 hour.

**Full Beginner’s Course**

In this video I show you how to write SQL using SQL Server and SQL Server Management Studio. We go through Creating a Database, Creating Tables, Inserting, Updating, Deleting, Selecting, Grouping, Summing, Indexing, Joining, and other basics you need to get starting writing SQL.

Video: Learn Basic SQL

How to write SQL from scratch in 1 hour.

The following Scripts are used in the training:

--Create Database
Create Database Customer;

--Create Customer Table
create table Customer
(
	FirstName varchar(50),
	LastName varchar(50),
	Age int
);

--Insert Initial Data
insert into Customer (FirstName,LastName,[Age]) values ('Joey','Blue',40);
insert into Customer (FirstName,LastName,[Age]) values ('Barry','Bonds',50);
insert into Customer (FirstName,LastName,[Age]) values ('Mike','Schmidt',60);
insert into Customer (FirstName,LastName,[Age]) values ('Mike','Schmidt1',61);
insert into Customer (FirstName,LastName,[Age]) values ('Mike','Schmidt2',62);
insert into Customer (FirstName,LastName,[Age]) values ('Mike','Schmidt3',63);
insert into Customer (FirstName,LastName,[Age]) values ('Mike','Schmidt4',64);
insert into Customer (FirstName,LastName,[Age]) values ('Mike','Schmidt5',65);

--This deletes mike schmidt
/*
DELETE Customer
where FirstName='Mike'
and LastName Like 'Schmidt_';
*/

--Select Mike Schmidt
select *
from Customer
where FirstName='Mike'
and LastName Like 'Schmidt_';

--Update City on Barry Bonds
update Customer
Set City='Goddard'
where FirstName='Barry'
and LastName = 'Bonds' ;

--Add City to the Customer Table
alter table customer
add City varchar(50);

--Drop the Customer Table
drop table customer;

--Create Customer Table with Primary Key
create table Customer
(
	Id int Primary Key identity(1,1),
	FirstName varchar(50),
	LastName varchar(50),
	Age int,
	City varchar(50)
)

--Insert Customer Data
insert into Customer 
(FirstName,LastName,[Age],City) values ('Joey','Blue',40, 'Goddard');
insert into Customer 
(FirstName,LastName,[Age],City) values ('Barry','Bonds',50, 'San Francisco');
insert into Customer 
(FirstName,LastName,[Age],City) values ('Mike','Schmidt',60, 'KC');

--Create Products Table
create table Products
(
	id int primary key identity(1,1),
	ProductName varchar(50)
)

--Add Price to Products Table
alter table Products
add Price float;

--Select everything from Products table
select * from Products

--Insert Products
insert into Products (ProductName, Price) values ('Baseball', 5.95);
insert into Products (ProductName, Price) values ('Bat', 195.99);

--Create Orders Table
Create table Orders
(
	OrderId int primary key identity(1,1),
	OrderDate Datetime,
	CustomerID int,
	ProductID int
)

--Insert Orders
insert into Orders (OrderDate,CustomerID,ProductID) values (GetDate(),1,1);
insert into Orders (OrderDate,CustomerID,ProductID) values (GetDate(),1,1);
insert into Orders (OrderDate,CustomerID,ProductID) values (GetDate(),2,1);
insert into Orders (OrderDate,CustomerID,ProductID) values (GetDate(),2,1);
insert into Orders (OrderDate,CustomerID,ProductID) values (GetDate(),2,2);
insert into Orders (OrderDate,CustomerID,ProductID) values (GetDate(),2,2);
insert into Orders (OrderDate,CustomerID,ProductID) values (GetDate(),2,2);
insert into Orders (OrderDate,CustomerID,ProductID) values (GetDate(),2,2);
insert into Orders (OrderDate,CustomerID,ProductID) values (GetDate(),3,2);
insert into Orders (OrderDate,CustomerID,ProductID) values (GetDate(),3,2);
insert into Orders (OrderDate,CustomerID,ProductID) values (GetDate(),4,2); --Bad Record

--Select from Tables
select * from Orders;
select * from Products;
select * from Customer;

--Delete Bad Order  **Your OrderId may be different
delete Orders
where OrderId=21;

--Add Foreign Keys to the Orders table
alter table orders
add foreign key (CustomerId) references Customer(Id);

alter table orders
add foreign key (ProductId) references Products(Id);

--Find the Total and Average Price per City
select c.City,sum(p.Price),AVG(p.price) Total
from Orders o 
inner join Products p on o.ProductID=p.id
inner join Customer c on o.CustomerID=c.Id
group by c.City

See the original SQL Training Course for Beginners video.

September 12, 2017 by Joey Blue Leave a Comment

Create Table Statement in SQL Server and Inserting Baseball Homerun Leader Dataset – SQL Training Online

How to use the Create Table Statement to store data in SQL Server

In this video I show you how to take some baseball data from a website, create a SQL Server table, and insert it into the table.

Video: Create Table Statement in SQL Server

How to use the Create Table Statement to store data in SQL Server..

Here is the Homerun Leaders Page that I use for the data.

The following Scripts are used in the video:

--Create Table
create table dbo.HomerunLeaders
(
 id int primary key identity(1,1),
 [Rank] int,
 Player varchar(50),
 Homeruns int,
 Bats varchar(1)
);

--Select from table
select * from dbo.HomerunLeaders
where Rank < 10;

See the original SQL Create Table video.

August 30, 2017 by Joey Blue 1 Comment

Latitude and Longitude with the Geography Data Type – SQL Training Online

The Geography data type is used in many different SQL Server databases. It contains Latitude, Longitude, and many other properties and functions.

In this video I show you how to extract the latitude and longitude from the Geography data type.

Video: Latitude and Longitude with the Geography Data Type

How to extract the latitude and longitude from the Geography data type..

I use the Wide World Importers and the following scripts:

--SQL Geography Data Type
select CityName
,Location.Lat Latitude
,Location.Long Longitude
,cast(location as varchar(max))
from Application.Cities

Link to the a good tutorial on MSSQLTips.com.

See the original Latitude and Longitude in SQL Server video.

August 29, 2017 by Joey Blue 1 Comment

Year-to-Date using Partition By with Windowing – SQL Training Online

You can use the Partition By Function in SQL Server to get a Year-to-Date and Month-to_Date calculation.

In this video I show you how to create a Year-to-Date value using the Windowing Partition By Function in TSQL.

This video builds on the prior day’s video, Prior Day Profit using the Lag Function with Windowing .

Video: Month-to_Date using the Partition By Function in SQL Server

how to create a Year-to-Date value using the Windowing Partition By Function in TSQL.

I use the Wide World Importers and the following scripts:

--SQL Year-to-Date using Partition By
select 
year([Invoice Date Key]) as Year,
Month([Invoice Date Key]) as Month,
[Invoice Date Key],
Profit,
sum(Profit) OVER (PARTITION BY year([Invoice Date Key]), Month([Invoice Date Key]) ORDER BY [Invoice Date Key]) as MonthToDate,
sum(Profit) OVER (PARTITION BY year([Invoice Date Key]) ORDER BY [Invoice Date Key]) as YearToDate
from dbo.ProfitByDate
order by 1

Link to the Microsoft SQL Server Over Clause.

See the original Year-to-Date using the Partition Windowing Function video.

August 28, 2017 by Joey Blue 1 Comment

Prior Day Profit using the Lag Function with Windowing in SQL Server

You can get a prior day value using the Lag Function in SQL Server.

In this video I show you how to create a prior day squeeze of profit using the Windowing Lag function in TSQL.

This video builds on the prior day’s video, Moving Average with Windowing.

Video: Prior Day Profit using the Lag Function in SQL Server

How to use the SQL Lag Function for Prior Day Squeeze.

I use the Wide World Importers and the following scripts:

select 
[Invoice Date Key],
Profit,
Lag(Profit,1) OVER (ORDER BY [Invoice Date Key]) as PriorDayProfit,
Profit - isnull(Lag(Profit,1) OVER (ORDER BY [Invoice Date Key]),0) as DailySqueeze
from dbo.ProfitByDate
order by 1

Link to the Microsoft SQL Server Over Clause.

See the original SQL Prior Day Profit – Lag Windowing Function video.