MySQL In 20 Minutes | Introduction To MySQL | MySQL Database | SQL DBMS

SQL is one of those perennial languages that have been around and whose importance never seems to decrease. Great Learning brings you this video on MySQL in 20 minutes where we would understand concepts concerning Database Management Systems and how to work around it.
Databases are crucial when it comes to handling data. For decades we have been storing data in a structured manner in containers called as tables which reside over a database. This data though structured, still needs to queried. SQL or Structured Query Language is a go to language for query requirements. Its offers sub languages like DDL, DML, etc to query your data.

In this video we will discuss, What MySQL is? What is a Database and Database Management System and we will discuss how to work with databases and process data using MySQL

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Introduction to Structured Query Language SQL pdf

SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.

Models for SQL exist. In any case, the SQL that can be utilized on every last one of the major RDBMS today is in various flavors. This is because of two reasons:

1. The SQL order standard is genuinely intricate, and it isn’t handy to actualize the whole standard.

2. Every database seller needs an approach to separate its item from others.

Right now, contrasts are noted where fitting.

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Database Management System | DBMS Tutorial

The collection of similar data in one place refers to a database. Let’s not confuse it with data. Data is a collection of information in the form of facts and figures. The database allows users to manipulate data according to their comfort.

This includes retrieval, insertions, and removal of data. It organizes data in tabular, graphical, and many more forms. The database management system is software to help users in managing data.

It provides an interface for the users to handle data in various forms. This may be during database creating or during the time of update. It also ensures that the data is safe all time while maintaining consistency.

Data Definition Language is the scheme that the system follows to see what data will look like in the database. Some famous database management softwares are – MySQL, Oracle, etc. The task of the database management system includes –

1. Data Updation – It is where all the changes in data are made. This may be the addition, removal, or modification of data.

2. Data Retrieval – It allows retrieval of the data from the database for application usage.

**3. User Administration **– It registers, monitors, maintains and enforces data all the time. This includes securing it, controlling it, managing its performance, and recovering information in case of failure.

History of Database Management System

• Charles Bachman came up with the first DBMS system in 1960.
• Codd by IBM’S Information Management System enters in 1970.
• Peter Chen introduces the Entity-relationship model in 1976.
• The Relational Model became a database component in 1980.
• Object-oriented DBMS develops in 1985
• The incorporation of object orientation in DBMS takes place in the 1990s.
• A personal DBMS by Microsoft – MS access came out in 1991.
• The first Internet database applications came out in 1995.
• XML became relevant to database processing in 1997.

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Best MySQL DigitalOcean Performance – ScaleGrid vs. DigitalOcean Managed Databases

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MySQL is the all-time number one open source database in the world, and a staple in RDBMS space. DigitalOcean is quickly building its reputation as the developers cloud by providing an affordable, flexible and easy to use cloud platform for developers to work with. MySQL on DigitalOcean is a natural fit, but what’s the best way to deploy your cloud database? In this post, we are going to compare the top two providers, DigitalOcean Managed Databases for MySQL vs. ScaleGrid MySQL hosting on DigitalOcean.

At a glance – TLDR
ScaleGrid Blog - At a glance overview - 1st pointCompare Throughput
ScaleGrid averages almost 40% higher throughput over DigitalOcean for MySQL, with up to 46% higher throughput in write-intensive workloads. Read now

ScaleGrid Blog - At a glance overview - 2nd pointCompare Latency
On average, ScaleGrid achieves almost 30% lower latency over DigitalOcean for the same deployment configurations. Read now

ScaleGrid Blog - At a glance overview - 3rd pointCompare Pricing
ScaleGrid provides 30% more storage on average vs. DigitalOcean for MySQL at the same affordable price. Read now

MySQL DigitalOcean Performance Benchmark
In this benchmark, we compare equivalent plan sizes between ScaleGrid MySQL on DigitalOcean and DigitalOcean Managed Databases for MySQL. We are going to use a common, popular plan size using the below configurations for this performance benchmark:

Comparison Overview
ScaleGridDigitalOceanInstance TypeMedium: 4 vCPUsMedium: 4 vCPUsMySQL Version8.0.208.0.20RAM8GB8GBSSD140GB115GBDeployment TypeStandaloneStandaloneRegionSF03SF03SupportIncludedBusiness-level support included with account sizes over $500/monthMonthly Price$120$120

As you can see above, ScaleGrid and DigitalOcean offer the same plan configurations across this plan size, apart from SSD where ScaleGrid provides over 20% more storage for the same price.

To ensure the most accurate results in our performance tests, we run the benchmark four times for each comparison to find the average performance across throughput and latency over read-intensive workloads, balanced workloads, and write-intensive workloads.

Throughput
In this benchmark, we measure MySQL throughput in terms of queries per second (QPS) to measure our query efficiency. To quickly summarize the results, we display read-intensive, write-intensive and balanced workload averages below for 150 threads for ScaleGrid vs. DigitalOcean MySQL:

ScaleGrid MySQL vs DigitalOcean Managed Databases - Throughput Performance Graph

For the common 150 thread comparison, ScaleGrid averages almost 40% higher throughput over DigitalOcean for MySQL, with up to 46% higher throughput in write-intensive workloads.

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List of Available Database for Current User In SQL Server

Introduction

When working in the SQL Server, we may have to check some other databases other than the current one which we are working. In that scenario we may not be sure that does we have access to those Databases?. In this article we discuss the list of databases that are available for the current logged user in SQL Server

Get the list of database

Conclusion

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System Databases in SQL Server

Introduction

In SSMS, we many of may noticed System Databases under the Database Folder. But how many of us knows its purpose?. In this article lets discuss about the System Databases in SQL Server.

System Database

Fig. 1 System Databases

There are five system databases, these databases are created while installing SQL Server.

• Master
• Model
• MSDB
• Tempdb
• Resource

Master

• This database contains all the System level Information in SQL Server. The Information in form of Meta data.
• Because of this master database, we are able to access the SQL Server (On premise SQL Server)

Model

• This database is used as a template for new databases.
• Whenever a new database is created, initially a copy of model database is what created as new database.

MSDB

• This database is where a service called SQL Server Agent stores its data.
• SQL server Agent is in charge of automation, which includes entities such as jobs, schedules, and alerts.

TempDB

• The Tempdb is where SQL Server stores temporary data such as work tables, sort space, row versioning information and etc.
• User can create their own version of temporary tables and those are stored in Tempdb.
• But this database is destroyed and recreated every time when we restart the instance of SQL Server.

Resource

• The resource database is a hidden, read only database that holds the definitions of all system objects.
• When we query system object in a database, they appear to reside in the sys schema of the local database, but in actually their definitions reside in the resource db.

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