The LIKE operator is used to list all rows in a table whose column values match a specified pattern. It is useful when you want to search rows to match a specific pattern, or when you do not know the entire value. For this purpose we use a wildcard character ‘%’.
For example: To select all the students whose name begins with ‘S’
SELECT first_name, last_name
WHERE first_name LIKE ‘S%’;
The output would be similar to:
The above select statement searches for all the rows where the first letter of the column first_name is ‘S’ and rest of the letters in the name can be any character.
A field with a NULL value is a field with no value.
If a field in a table is optional, it is possible to insert a new record or update a record without adding a value to this field. Then, the field will be saved with a NULL value.
Note: It is very important to understand that a NULL value is different from a zero value or a field that contains spaces. A field with a NULL value is one that has been left blank during record creation!
SQL stands for Structured Query Language. SQL is used to communicate with a database. According to ANSI (American National Standards Institute), it is the standard language for relational database management systems. It is used to perform operations on the data present in database. SQL statements are used to perform tasks such as update data on a database, or retrieve data from a database. Although most database systems use SQL, most of them also have their own additional proprietary extensions that are usually only used on their system. However, the standard SQL commands such as “Select”, “Insert”, “Update”, “Delete”, “Create”, and “Drop” can be used to accomplish almost everything that one needs to do with a database. SQL commands are divided into several different types, among them data manipulation language (DML) and data definition language (DDL) statements, transaction controls and security measures.
Some common relational database management systems that use SQL are: Oracle, Sybase, Microsoft SQL Server, Access, Ingres, etc.
SQL Server is a relational database management system (RDBMS) developed by Microsoft. This product is built for the basic function of storing retrieving data as required by other applications. It can be run either on the same computer or on another across a network. It is platform dependent. It is both GUI and command based software.
SQL Server is available in various editions. Some of the editions are:
So, different enterprises like web development companies, mobile app development companies, banks, outsourcing companies and many other uses RDBMS like (SQL server, Oracle) for smooth functioning of their business.
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…
INNER JOIN table2
ON table1.common_field = table2.common_field;
The INNER JOIN in SQL joins two tables according to the matching of a certain criteria using a comparison operator.
Sample Two Table Data:
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 :
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 :
ON foods.company_id =company.company_id;
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
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.
Sign up for the Early Adoption Program (EAP) — The EAP is designed to help customers and partners evaluate new features in SQL Server v.Next, and to build and deploy applications for SQL Server v.Next on Windows and Linux.