C Database Programming Tutorial Pdf
You can use Visual Studio to create and update a local database file in SQL Server Express LocalDB. You can also create a database by executing Transact-SQL statements in the SQL Server Object Explorer tool window in Visual Studio. In this topic, we'll create an .mdf file and add tables and keys by using the Table Designer.
C Database Programming Tutorial Pdf
Pro*C means creating a program that is embedded with SQL statements. We can access the Oracle database with the help of Pro*C. The C programming language provides the flexibility for data processing by manipulating or retrieving the data from the Oracle database. Therefore, we can say that Pro*C allows C programming language to connect the C program with the Oracle database and do the manipulations according to our requirements.
An oracle precompiler is a programming tool that allows the user to embed the SQL statements in a high-level source program. This compiler takes the source program as input, replacing the embedded SQL statements with the oracle runtime library calls, and this modified program can now compile, link, and execute.
The main requirement of Pro*C is to install the Pro*C software. When we are installing the Oracle database, then we have to make sure that we have selected the Pro*C components. If we have to check whether the installation of oracle contains the Pro*C components is by checking the PRECOMP directory of Oracle.
Executable statements are the SQL statements that allow you to manipulate the data in the Oracle database. These statements call the Oracle runtime library. It also allows your program to connect to the Oracle database, to define the query, to manipulate the data, and process the transactions. These statements are written where C executable statements can be placed.
In the above code, we have created a structure named as a student, which contains two variables, i.e., student_id and name. After creating structure, we declare the variable, i.e., s1 of type student. Then, we insert the value of these two variables in a database by using the insert command.
C programming provides the in-built error handling mechanism which we use in our source program. Error handling is a mechanism that provides the status of our source program. We need some mechanism that handles the error, so Pro*C contains the two error handling concepts which are given below:
C# (C Sharp) is one of the most popular programming languages which is widely used for building Windows applications, mobile applications, and games. This course is taught in a practical GOAL oriented way to learn C# programming. It is recommended for you to practice the code assignments given after each C Sharp tutorial to learn C Sharp fast and easily.
C# (C Sharp) is a general purpose, multi-paradigm programming language developed by Microsoft that runs on the .NET Framework. C# is widely used for building mobile applications, games and windows applications.
Learning C# helps to understand the basic Computer theories easily, and it is a middle-level programming language; therefore, it is easy to understand and user-friendly. Moreover, C# contains fewer libraries, and it has a faster execution time; therefore, it is widely used in embedded programming.
For learning C# for beginners, it is required to have a basic computer knowledge, basic knowledge of Object-Oriented programming approach, and basic knowledge of C programming language concepts to understand C# basics easily.
First in this C Sharp tutorial, you will learn the C# basics like introduction, history of C# and architecture. Then, you will learn the advanced stuff for C# programming like C# data types, variables, classes & objects, interface, collections, file operations, etc.
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Summary: in this tutorial, we first introduce you to an SQLite sample database. Then, we will give you the links to download the sample database and its diagram. At the end of the tutorial, we will show you how to connect to the sample database using the sqlite3 tool.
To get the most out of this tutorial, you should have a working knowledge of Python concepts like for loops, functions, exception handling, and installing Python packages using pip. You should also have a basic understanding of relational database management systems and SQL queries like SELECT, DROP, CREATE, and JOIN.
SQL stands for Structured Query Language and is a widely used programming language for managing relational databases. You may have heard of the different flavors of SQL-based DBMSs. The most popular ones include MySQL, PostgreSQL, SQLite, and SQL Server. All of these databases are compliant with the SQL standards but with varying degrees of compliance.
Now, to start working through this tutorial, you need to set up two things: a MySQL server and a MySQL connector. MySQL server will provide all the services required for handling your database. Once the server is up and running, you can connect your Python application with it using MySQL Connector/Python.
A database driver is a piece of software that allows an application to connect and interact with a database system. Programming languages like Python need a special driver before they can speak to a database from a specific vendor.
These drivers are typically obtained as third-party modules. The Python Database API (DB-API) defines the standard interface with which all Python database drivers must comply. These details are documented in PEP 249. All Python database drivers, such as sqlite3 for SQLite, psycopg for PostgreSQL, and MySQL Connector/Python for MySQL, follow these implementation rules.
Many popular programming languages have their own database API. For example, Java has the Java Database Connectivity (JDBC) API. If you need to connect a Java application to a MySQL database, then you need to use the MySQL JDBC connector, which follows the JDBC API.
Similarly, in Python you need to install a Python MySQL connector to interact with a MySQL database. Many packages follow the DB-API standards, but the most popular among them is MySQL Connector/Python. You can get it with pip:
MySQL is a server-based database management system. One server might contain multiple databases. To interact with a database, you must first establish a connection with the server. The general workflow of a Python program that interacts with a MySQL-based database is as follows:
You might receive an error here if a database with the same name already exists in your server. To confirm this, you can display the name of all databases in your server. Using the same MySQLConnection object from earlier, execute the SHOW DATABASES statement:
A real-world movie rating system, like IMDb, would need to store a bunch of other attributes, like emails, movie cast lists, and so on. If you want, you can add more tables and attributes to this database. But these three tables will suffice for the purpose of this tutorial.
The tables in this database are related to each other. movies and reviewers will have a many-to-many relationship since one movie can be reviewed by multiple reviewers and one reviewer can review multiple movies. The ratings table connects the movies table with the reviewers table.
In the last section, you created three tables in your database: movies, reviewers, and ratings. Now you need to populate these tables with data. This section will cover two different ways to insert records in the MySQL Connector for Python.
One of the reviewers in your database, Amy Farah Fowler, is now married to Sheldon Cooper. Her last name has now changed to Cooper, so you need to update your database accordingly. For updating records, MySQL uses the UPDATE statement:
These connectors act as interfaces between your program and a MySQL database, and you send your SQL queries through them. But many developers prefer using an object-oriented paradigm rather than SQL queries to manipulate data.
Object-relational mapping (ORM) is a technique that allows you to query and manipulate data from a database directly using an object-oriented language. An ORM library encapsulates the code needed to manipulate data, which eliminates the need to use even a tiny bit of SQL. Here are the most popular Python ORMs for SQL-based databases:
SQLAlchemy is an ORM that facilitates communication between Python and other SQL databases. You can create different engines for different databases like MySQL, PostgreSQL, SQLite, and so on. SQLAlchemy is commonly used alongside the pandas library to provide complete data-handling functionality.
Django ORM is one of the most powerful features of Django and is supplied alongside the Django web framework. It can interact with a variety of databases such as SQLite, PostgreSQL, and MySQL. Many Django-based applications use the Django ORM for data modeling and basic queries but often switch to SQLAlchemy for more complex requirements.
In this tutorial, you saw how to use MySQL Connector/Python to integrate a MySQL database with your Python application. You also saw some unique features of a MySQL database that differentiate it from other SQL databases.