scala VS MySQL

Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉.

8. Scala - $96,381

Scala

Big Scala vibes here, see also [1].

1: https://github.com/scala/scala/blob/v2.13.11/src/library/sca...

For details, refer to the release notes on GitHub: * https://github.com/scala/scala/releases/tag/v2.13.11 * https://github.com/scala/scala/releases/tag/v2.12.18

Scala is the next-generation Java virtual machine (JVM) language that is rapidly gaining popularity as a modern alternative to Java.

Compiling Scala without a SAT solver is probably too difficult.

The CNF Converter is a gem.

https://github.com/scala/scala/blob/v2.13.5/src/compiler/sca...

In addition to Structured Query Language(SQL), we can also use a variety of different programming languages, such as Python, Java, JavaScript, R, Julia, Scala, or any other programming language as long as it supports a basic database connection and functions to perform all of those operations, to connect to databases and perform more advanced query operations on the data. This gives us greater flexibility and allows us to apply custom-created logic to the data.

Based on Lambda Calculus, developed by Alonzo Church in the 1930s, functional programming has been implemented in mainstream programming languages like JavaScript, Python and Java. Programming languages like Erlang, Haskell or Scala are better suited for functional programming as they are designed to be functional first.

Scala

Every time I buy a new computer, the first thing I install is the servers for MySql and Postgres, the two most common databases. This way, I can start the databases with a simple command like this:

MySQL

SQL (Structured Query Language) databases are relational databases. They organize data into tables with rows and columns, and they use SQL for querying and managing data. Examples include MySQL, PostgreSQL, and SQLite.

MySQL is an open-source relational database management system (RDBMS) that stores, organizes, and accesses data in a structured format. The prerequisites section discussed Connecting your Boomi Atom runtime and MySQL on Docker, and this section will build on that knowledge.

Node.js, MySQL and PostgreSQL servers installed on your machine

I've used MySQL for years. But recently, I found myself working PostgreSQL and simple things like dumping and restoring a database are different enough that I decided to document the process. It's straightforward enough once I knew how.

MySQL: A widely-used open-source SQL database, MySQL is efficient for OLTP with its fast data processing and robustness. It is a go-to choice for web-based applications, e-commerce, and online transaction systems.

Our orders microservice will have its own set of teachnologies just like we earlier plotted that is mysql database and sequelize orm. MySQL is an open-source relational database management system (RDBMS) that is widely used for building web applications and managing data. It is a popular choice for many developers and organizations due to its performance, reliability, and ease of use. Sequelize is a popular Object-Relational Mapping (ORM) library for Node.js. It provides a way to interact with relational databases like MySQL, PostgreSQL, SQLite, and MSSQL using JavaScript or TypeScript. It simplifies database operations by allowing developers to use JavaScript objects to represent database tables and records, instead of writing raw SQL queries. In this microservice, we will use it to query our MySQL database.

Data Stores (Amazon RDS, MySQL, PostgreSQL)