The ultimate guide to MySQL Stored Procedure

Do you want to learn MySQL stored procedure?

This post has every detail that a mysql expert would tell you about the stored procedure in MySQL.

So, let’s start right away!

MySQL stored procedure in a glance

An SQL query batch is known as a stored procedure if it can be included in the storage of the server.

Initial approval and execution of the stored procedure allow a batch to get optimized and securely saved on a server. After that, you can simply use the designated name of the stored procedure to get the whole batch of queries for execution quickly in a secured manner.

Importance of utilizing stored procedure

ü  Increased pace of execution: 

The inclusion of a stored procedure allows the server to optimize and safely secure that particular batch of queries. This stored query set becomes available for future execution right away without making any effort. Hence, it saves time and increases the pace of form execution.

ü  Reduced redundancy of work: 

Instead of doing the same thing again and again, you can use the stored procedure to smartly utilize your work. The compilation of queries becomes a one-time task. Then, it gets stored for every situation when you need to execute the same batch of queries.

ü  Decreased communication costs: 

Communicating the statement lines becomes easier across a network. The server and a client receive lesser traffic due to the batch of queries. A single line statement communicates the whole stored procedure. Otherwise, the network has to process every query individually.

ü  Improved security: 

When it comes to preventing SQL injection, this process serves exceptionally. The optimization of queries in batches and storage safety delivers excellent security.

ü  Authenticated access: 

The security factor also improves due to the limited direct access provided to a user to tables. A user’s role is defined, which grants limited access to a particular procedure. This way, a user can access a procedure, even if that particular user has no direct accessibility in the created tables in a database.

Using MySQL stored procedure

With MySQL 5.0 or going beyond it, you can get the support of the stored procedure. These are the steps required to utilize stored procedure:

§   The statement “Create Procedure” is used to design one stored procedure. You need to specify the database name as well as the name of the stored procedure when creating.

§   Generally, a stored procedure gets surrounded by a command called DELIMITER. The purpose of this step is to ensure that MySQL uses a separate delimiter whenever creating a stored procedure. For that, the last semicolon in the command gets replaced with 2 forward slashes.

§   Run the created statement, and then, crate the proc_name of the stored procedure. Then, you can use the CALL statement to bring the stored procedure for execution.

§   The statement DROP PROCEDURE proc_name; allows you to eliminate a procedure that is not being used.

The use of stored procedure along with parameters

When using stored procedures in MySQL, it is possible to use three parameters.

1. IN

This mode of parameter requires your application to surpass the value of this parameter whenever you call a particular stored procedure. The parameters stay protected, which allows the stored procedure to retain its original value after every execution. The changes in the value of a stored procedure occur only in regards to its parameter. This works as the default parameter mode. So, if you don’t add any parameter, the server uses IN parameter mode.

2. OUT

The OUT parameter allows the change of its value within a stored procedure. Then, the value reaches the calling application.

3. INOUT

As the name suggests, this parameter mode combines the features of the IN as well as OUT modes. It is possible to surpass the initial value and the utilized stored procedure holds the ability to change it. Also, the value reaches a particular calling application.

Now, you have a better understanding of how the stored procedure works in your favor. However, it would be wise to get in touch with a mysql database consultant to get a strategy prepared regarding your specific needs related to the use of MySQL stored procedure. Choose an experienced consultant to ensure the best utilization. 

SQL and NoSQL with its Pros and Cons

When we say, 'SQL vs NoSQL’, it becomes the primary need to understand the fundamental meaning of these two terms from the point-of-view of a MySQL expert. Once we understand the meaning of SQL and NoSQL, we can easily move forward with their comparison.

What is SQL?

To protect the integrity of a database, SQL uses the ACD compliance mode. Because it has structured data, there is no need for an integrated support system to use it with any data type based on your preference. SQL's predefined structure and schemes make it the company's preferred choice.Structured query language or SQL is used with relational database management systems as a means of communication, by the MySQL queries consultant. This standardized language assists data analysts in analyzing, retrieving and updating data or records embedded within the database. This tool is also commonly used for the storage of structured data. There are a variety of relational databases, including Oracle, Microsoft Access, or Server, each of which has minor variations as they belong to different brands, while the language structure is more or less identical.

Role of SQL in DMS (Database Management System)

·         Defining data: more commonly referred to as data definition, allowing the database administrator to clearly define and organize the structure of stored data, while also defining the relationships between each stored data.

·         Data recovery: more commonly referred to as data recovery, this is how SQL enables a user program or application to extract and effectively use data stored in a computer database.

·         Data manipulation: Also known as data manipulation, this is how SQL enables a user program to update the database of the computer. This is achieved by removing old data and adding new ones.

This is how SQL is considered to be an all-inclusive language as well as a powerful tool that helps to control the functionalities while powering the interaction with the database system of the computer. Although relational database (RDBMS) played a prominent role as a dormant database model, these traditional norms are replaced by the non-relational cloud or NoSQL database.

Advantages of SQL

1.      Speed: As discussed earlier, the speed offered by SQL is incredible and unbeatable, making it easy to retrieve data from database records.

2.      Well-defined standards: SQL has no standardization issue, unlike NoSQL. This follows the worldwide approved ISI and ANSI standards.

3.      No coding: the code-free nature of the process makes the process trouble-free.

Disadvantage of SQL

Interfaces: Although complex coding is not involved, the interfacing process is complex.

What is NoSQL?

NoSQL's growing popularity is due to its ability to accommodate different types of data and also the ability to scale by simultaneously spreading rapidly to a number of servers. People prefer NoSQL in no time to develop applications. The performance speed is one of the reasons.

Advantages of NoSQL

1.      NoSQL is non-relational: non-relational, i.e. you can call it table-less, these NoSQL databases are different from SQL databases. In this sense, they provide management ease while providing new data models with a high level of flexibility.

2.      NoSQL is low-cost: while low-cost, NoSQL is also an open-source database, providing a great solution for smaller businesses to choose this at affordable prices.

3.      The various types of NoSQL databases available on the market include Couchbase, Dynamo Db, MongoDB and MarkLogic from Amazon to provide cost-effective processing of big data apps.

4.      Scalability is easier: NoSQL has gained popularity due to the elasticity and scalability it provides over the other available database types. It was designed under any conditions, including low cost hardware, to perform exceptionally well.

5.      Detailed structuring of database models is unnecessary here: when using NoSQL database, you can easily create database without developing any detailed database models. This will help save a great deal of time and effort.

Disadvantages of NoSQL

1.      Less community support: although the NoSQL has expanded at an incredible pace, the community support is relatively smaller than its new one.

2.      Standardization: A standardized platform such as SQL is lacking, which prevents it from expanding further. During migration, this has created concerns. Standardization is what helps the unification of the database industry.

3.      Another concern facing NoSQL is interfaces and interoperability, which needs to be fixed immediately.

SQL is the best choice for data analytics because it offers much more sustainability when dealing with larger and huge chunks of data. If you want to see more expansion in your data assets, then the SQL database is the best environment for you to enjoy a great transition. Simply we can say that SQL is that structured language that can be used to create, maintain and manage the data in a database. Database definition is that it is a structured architecture programmed to organize data, defined by meta data, ultimately expressing the structure.

Eric Vanier and his team have helped many Fortune 500 companies make sure they have a clutter-free and responsive business database. They are deft in identifying problems and providing MySQL expert support to solve the problem as quickly as possible. The steps they take are proven to be successful and can be relied on even if the situation requires expertise.

A Comparison between MySQL vs. MS SQL Server

When it comes to enterprise database systems, both MySQL and MS SQL Server are quite popular. For the uninitiated, MySQL is open source, while Microsoft owns SQL Server and offers the choice to use it for diverse enterprise requirements. If you are looking for a MySQL optimization expert, it is first important to know the difference between the two, so as to pick the right one for your specific needs. 

Here’s more on the differences:

•  Platforms and programming languages supported. Initially, SQL Server was launched for Windows only, but Microsoft has recently made SQL Server available for Mac OS X and Linux. MySQL on the other hand is open source. In terms of programming languages, both MySQL and SQL Server offer support for Java, Python, Ruby, C++, Go, and Delphi to name a few. MySQL also offers support for Eiffel and Perl among others for those who are interested.
• Storage Engine. MySQL offers support for diverse storage engines, and it is no longer compulsory to upgrade the storage engine for programmers who use previous versions. In that department, MySQL is a better choice than SQL Server. Programmers also get considerable freedom when it comes to filtering data, although developers using SQL Server can use “row-based filtering”.
• Backup. In case of MySQL, SQL statements must be extracted to get a backup of the data, which minimizes the risk of corruption, especially when the developer chooses to update from version to another. While that’s a good thing, the process can take considerable time. SQL Server, on the other side, allows developers to store and backup huge volumes of data, without extra time, so SQL Server has an edge in that department. 
• Kill queries. If you are using MySQL, you cannot kill a query when its working, and to do that, the entire process must be killed. That’s not the same with SQL Server, which allows cancelling one particular query without affecting the entire process, and this is because it relies on what’s called the “transactional engine”.
• Security. In many ways, MS SQL Server is certainly better than MySQL in terms of security. This is because it doesn’t allow any process to access or deal with the database, for which specific functions are required. Hackers can easily do these things with MySQL, but not with MS SQL Server, and that does offer an edge.
• Versions. In case of MySQL, there are two options - MySQL Enterprise Server or MySQL Community Sever. The latter is free completely, but for MySQL Enterprise Server, there are a considerable number of paid extensions. MS SQL Server does have many versions or editions, and it depends on the requirements. You can check with Microsoft to know more.

If you need help, you can always contact with a MySQL queries consultant to know further. Both MySQL and MS SQL Server are important and have diverse applications, and the features, pros and cons depend on the edition you are using. Take a look at what considered option offers before taking a call for your project.