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Second Normal Form(2nd) (Eliminating Redundant Data)

A relation is in second normal form if it is in 1NF and every non key attribute is fully functionally dependent on the primary key.

It is in first normal form
All non-key attributes are fully functional dependent on the primary key

The First Normal form deals with the atomicity whereas the Second Normal Form deals with the relationship between the composite key columns and non-key columns.

To achieve the next progressive level your table should satisfy the requirement of First Normal Form then move towards the Second Normal Form.

 Let see the example from above 1st Normal From

ITEM COLORS PRICES TAX
Pen Red 3.0 0.40
Pen Blue 3.0 0.40
Scale Red 3.0 0.40
Scale Yellow 3.0 0.40
Bag Blue 120.0 12.52
Bag Black 120.0 12.52

Table is not in Second Normal Form because the price and tax depends on the item, but not color.

ITEM COLORS
Pen Red
Pen Blue
Scale Red
Scale Yellow
Bag Blue
Bag Black

 

ITEM PRICE TAX
Pen 3.0 0.40
Scale 3.0 0.40
Bag 120.0 12.52

 

How to use INNER JOIN in SQL Server?

The most frequently used and important of the joins is the INNER JOIN. They are also referred to as an EQUIJOIN.

The INNER JOIN creates a new result table by combining column values of two tables (table1 and table2) based upon the join-predicate. The query compares each row of table1 with each row of table2 to find all pairs of rows which satisfy the join-predicate. When the join-predicate is satisfied, column values for each matched pair of rows of A and B are combined into a result row.

Syntax: The basic syntax of INNER JOIN is as follows:

SELECT table1.column1, table2.column2…
FROM table1
INNER JOIN table2
ON table1.common_field = table2.common_field;

Image Representation:

The INNER JOIN in SQL joins two tables according to the matching of a certain criteria using a comparison operator.

Sample Two Table Data:

FOODS:

 ITEM_ID ITEM_NAME ITEM_UNIT COMPANY_ID
1 Bread PCS 25
2 Sliced Bread PCS 16
3 Roasted Bread PCS 32
4 Garlic Bread PCS 48
5 Cheese Bread PCS 18
6 Fruit Bread PCS 22
7 Milk Bread PCS 28

Company:

COMPANY_ID COMPANY_NAME COMPANY_CITY
25 SUBWAY IRLAND
16 BURGER KING UNITED STATES
32 KFC UK
18 ROLLZONE AUSTRALIA
28 DOMINOS INDIA

Example

Here is an example of inner join in SQL between two tables.

To join item name, item unit columns from foods table and company name, company city columns from company table, with the following condition –

1. company_id of foods and company_id company table must be same, the following SQL statement can be used :

SELECT foods.item_name,foods.item_unit,
company.company_name,company.company_city
FROM foods
INNER JOIN company
ON foods.company_id =company.company_id;

Example of SQL INNER JOIN using JOIN keyword

To get item name, item unit columns from foods table and company name, company city columns from company table, after joining these mentioned tables, with the following condition –

1. company id of foods and company id of company table must be same,

the following SQL statement can be used :
SELECT foods.item_name,foods.item_unit,
company.company_name,company.company_city
FROM foods
JOIN company
ON foods.company_id =company.company_id;

SQL Server next version CTP 1.4

Microsoft is excited to announce a new preview for the next version of SQL Server (SQL Server v.Next). Community Technology Preview (CTP) 1.4 is available on both Windows and Linux. In this preview, they added the ability to schedule jobs using SQL Server Agent on Linux. We can try the preview in your choice of development and test environments now: www.sqlserveronlinux.com.

Key CTP 1.4 enhancements
The primary enhancement to SQL Server v.Next on Linux in this release is the ability to schedule jobs using SQL Server Agent. This functionality helps administrators automate maintenance jobs and other tasks, or run them in response to an event. Some SQL Server Agent functionality is not yet enabled for SQL Server on Linux. To learn more and see sample SQL Server Agent jobs, you can read detailed blog titled “SQL Server on Linux: Running scheduled jobs with SQL Server Agent” or attend an Engineering Town Hall about “SQL Server Agent and Full Text Search in SQL Server on Linux.”

The mssql-server-linux container image on Docker Hub now includes the sqlcmd and bcp command line utilities to make it easier to create and attach databases and automate other actions when working with containers. For additional detail on CTP 1.4, please visit What’s New in SQL Server v.Next, Release Notes and Linux
documentation.

In addition, SQL Server Analysis Services and SQL Server Reporting Services developer tools now support Visual Studio 2017. They are available for installation from the Visual Studio Marketplace providing the option for automatic updates going forward.

 

Get SQL Server v.Next CTP 1.4 today!
Try the preview of the next release of SQL Server today! Get started with the preview of SQL Server with our developer tutorials that show you how to install and use SQL Server v.Next on macOS, Docker, Windows, and Linux and quickly build an app in a programming language of your choice.

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