MySQL

Low level languages expose the internals of a computer's processor and allow you to take advantage of the power of that processor. Every processor has an assembler which allows you to code directly the machine language processed by the processor. This is the lowest level language available, however, the downside is that you are stuck producing code for only one processor and it will take a long time to write any significant program.

The next higher level language will be things like C, which are compiled fairly efficiently down to the machine level. C being higher level can be written and supported by many processors out there. It takes less C code to write a significant program than assembler.

The higher the level of a language the less code that is necessary to write a significant program, however, these programs are no longer efficient in terms of the amount of machine language generated. These programs often run slower and require large amounts of code to do simple things; this is counterbalanced by the ability to get complex things done with very little code. Many higher level languages are called 4GL for 4th generation languages.

A quantitative definition of 4GL has been set by Capers Jones, as part of his work on function point analysis. Jones defines the various generations of programming languages in terms of developer productivity, measured in function points per staff-month. A 4GL is defined as a language that supports 12-20 function points per staff month. This correlates with about 16-27 lines of code per function point implemented in a 4GL.

MySQL databases are relational. A relational database does not store all the data in one large store, but stores the data in separate tables. It is an organized collection of data stored in tables that relate to others. It is optimal for extensive volumes of data.

Depending on the type of database, the approach to its development, management and administration differs. A database management system can be very feature rich, but it also needs to be simple and fast. Database professionals can manage their DBMS manually through the command line, but it's easier and faster to complete tasks through a dedicated interface. One of the most popular of these is the tools of the dbForge MySQL product line, they can perform all tasks related to database development, administration, design, and maintenance, as well as data analysis and reporting. Among them, dbForge Studio for MySQL is the most multifunctional.

In a database management systems (DBMS) environment, key personnel typically include database administrators (DBAs), who are responsible for the installation, configuration, and maintenance of databases; data architects, who design the database structure and models; and data analysts, who interpret and analyze data for insights. Additionally, developers may be involved in creating applications that interact with the database, while IT support staff ensure the infrastructure is secure and operational. Collaboration among these roles is essential for effective database management and utilization.

In MySQL, you cannot directly insert a row "after" a specific row because the database does not maintain a physical order for rows. Instead, you typically use an ordering column (like an ID or a timestamp) to define the order. To simulate inserting a row after a specific one, you can adjust the ordering values of existing rows accordingly and then insert the new row with the appropriate value that places it in the desired position. For example, if you're using an auto-incrementing ID, you might need to update the IDs of subsequent rows to make space for the new row.

In a MySQL database, an attribute refers to a column within a table that defines a property or characteristic of the data stored in that table. Each attribute has a specific data type, such as integer, varchar, or date, which determines the kind of data it can hold. Attributes collectively define the structure of the table and help organize the data in a meaningful way, allowing for efficient data retrieval and manipulation.

To draw an Entity-Relationship (E-R) diagram for a ticketing system in a movie theatre, first identify the key entities such as Movie, Theatre, Show, Ticket, Customer, and Payment. Define the relationships between these entities, such as a Movie can have multiple Shows, a Show can have many Tickets, and a Customer can purchase multiple Tickets. Specify attributes for each entity, like Movie title, Show time, Ticket price, Customer name, and Payment method. Finally, use appropriate notation to represent these entities, relationships, and their cardinalities, ensuring clarity in how they interact.

Normalization.

It's a very old name for the mysql server daemon.