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About Arturo Gutierrez Loza

Computer Systems & Software Engineer, Systems Administrator providing IT Services to Healthcare Industry Guadalajara, México

Databricks: Basic SQL queries using Apache Spark

park SQL is a component of Apache Spark that enables querying structured data using SQL syntax, either through SQL queries or DataFrame APIs. Here’s a brief overview of some basic queries you can perform using Spark SQL:

  1. Selecting Data:To select specific columns from a DataFrame:SELECT col1, col2 FROM table_name;
  2. Filtering Data:To filter rows based on certain conditions:SELECT * FROM table_name WHERE condition;
  3. Aggregating Data:To perform aggregation operations like sum, count, average, etc.:SELECT COUNT(*), AVG(salary) FROM employee_table;
  4. Grouping Data:To group data based on certain columns:SELECT department, AVG(salary) FROM employee_table GROUP BY department;
  5. Joining Data:To join two or more tables based on a common key:SELECT * FROM table1 JOIN table2 ON table1.key = table2.key;
  6. Sorting Data:To sort data based on one or more columns:SELECT * FROM table_name ORDER BY column_name ASC/DESC;
  7. Subqueries:To use a query within another query:SELECT * FROM table1 WHERE col1 IN (SELECT col2 FROM table2);
  8. Window Functions:To perform calculations across a set of rows:ELECT department, employee_id, salary, AVG(salary) OVER (PARTITION BY department) AS avg_salary_department FROM employee_table;
  9. Common Table Expressions (CTEs):To define temporary named result sets for use in a query:WITH cte AS ( SELECT department, AVG(salary) AS avg_salary FROM employee_table GROUP BY department ) SELECT * FROM cte WHERE avg_salary > 50000;
  10. Union:To combine the results of two or more SELECT statements:SELECT col1 FROM table1 UNION SELECT col2 FROM table2;

These are some of the basic SQL queries you can perform using Spark SQL. Keep in mind that Spark SQL supports a wide range of SQL functionalities, and you can use it to handle complex data manipulation and analysis tasks.

List of API Gateways

PI gateways play a crucial role in managing, securing, and optimizing communication between different microservices or between clients and servers. Here’s a list of both commercial and open-source API gateways:

Commercial API Gateways:

  1. Apigee (Google Cloud API Management):
  2. AWS API Gateway (Amazon API Gateway):
  3. Azure API Management:
  4. IBM API Connect:
  5. MuleSoft Anypoint Platform:
  6. Kong Enterprise:
  7. Tyk:

Open-Source API Gateways:

  1. NGINX:
  2. Express Gateway:
  3. Kong (Community Edition):
  4. Tyk Gateway (Open Source Edition):
  5. KrakenD:
  6. Traefik:
  7. Ambassador API Gateway:
  8. Gloo Edge:

It’s important to evaluate the specific requirements, features, and licensing considerations when choosing between commercial and open-source API gateways. The choice may depend on factors such as scalability, support, ease of integration, and available features.

Python Flask programming reference sites

  1. Official Flask Documentation:
    • Flask Documentation
      • The official documentation provides comprehensive information about Flask, including installation, quickstart guide, and detailed explanations of Flask features and concepts.
  2. Flask GitHub Repository:
    • Flask GitHub Repository
      • The Flask source code is available on GitHub. You can explore the repository to understand the implementation details and contribute to the Flask project.
  3. Flask Quickstart Guide:
    • Flask Quickstart
      • The quickstart guide is a great starting point for beginners. It covers the basic steps to create a simple Flask application.
  4. Flask Mega-Tutorial by Miguel Grinberg:
    • Flask Mega-Tutorial
      • This tutorial by Miguel Grinberg is a comprehensive guide to building a full-featured web application with Flask. It covers a wide range of topics and is suitable for both beginners and intermediate learners.
  5. Real Python Flask Tutorials:
    • Real Python Flask Tutorials
      • Real Python offers a variety of tutorials covering Flask, from basic concepts to more advanced topics. The tutorials include video content and written guides.
  6. Flask Web Development Book by Miguel Grinberg:
    • Flask Web Development Book
      • Miguel Grinberg’s book “Flask Web Development” provides in-depth coverage of Flask, including building web applications, handling databases, and more.
  7. Flask by Example Series on PyBites:
    • Flask by Example
      • PyBites offers a Flask by Example series, which guides you through building Flask applications step by step.
  8. Awesome Flask:
    • Awesome Flask
      • The Awesome Flask GitHub repository is a curated list of Flask resources, including extensions, tutorials, and tools.
  9. Flask WTF Documentation (WTForms):
    • Flask WTF Documentation
      • If you are working with web forms in Flask, the Flask WTF (WTForms) documentation is a valuable resource.
  10. Explore Flask:
    • Explore Flask
      • Explore Flask is a free online book that covers Flask concepts and provides practical examples.

Remember to check the official Flask documentation for the most up-to-date and accurate information. Additionally, exploring community forums, such as the Flask community on Stack Overflow, can be helpful for getting answers to specific questions.

Rust programming language reference sites

  1. Official Rust Website:
    • Rust Programming Language
      • The official website provides comprehensive documentation, tutorials, and resources for learning Rust. It includes the Rust Book, which is an excellent starting point for beginners.
  2. Rust GitHub Repository:
    • Rust GitHub Repository
      • The official GitHub repository contains the source code for the Rust compiler, standard library, and other core components. It’s a valuable resource for exploring the language implementation and contributing to the project.
  3. Rust Documentation:
    • Rust Documentation
      • The official documentation includes the Rust Book, Rust by Example, and detailed documentation for the standard library. It’s an essential resource for learning Rust and understanding its features.
  4. Rust Playground:
    • Rust Playground
      • The Rust Playground allows you to experiment with Rust code directly in your web browser. It’s a great tool for trying out code snippets, sharing code, and learning Rust interactively.
  5. Rust Forum (users.rust-lang.org):
    • Rust Forum
      • The Rust community forum is a space for discussions, questions, and collaboration among Rust developers. It’s a valuable resource for seeking help, sharing experiences, and staying updated on Rust-related topics.
  6. Rust Discord Channel:
    • Rust Discord
      • The Rust community maintains a Discord channel where developers can engage in real-time discussions, get help, and collaborate on Rust-related projects.
  7. Crates.io:
    • Crates.io
      • Crates.io is the official package registry for Rust. It hosts a vast collection of Rust libraries and packages (crates). You can explore and search for crates that suit your project’s needs.
  8. Rust By Example:
    • Rust By Example
      • “Rust By Example” is a hands-on introduction to Rust programming using annotated example code. It covers various language features and concepts through practical examples.
  9. Awesome Rust:
    • Awesome Rust
      • The Awesome Rust GitHub repository is a curated list of Rust language crates, tools, and resources. It’s a great reference for finding high-quality libraries and tools within the Rust ecosystem.
  10. Rustlings:
    • Rustlings
      • Rustlings is a set of small exercises to get you used to reading and writing Rust code. It’s a hands-on learning resource for Rust beginners.

Remember that the Rust ecosystem is dynamic, and new resources may become available. Always check the official Rust website and community channels for the latest information and updates.