Learn Github, Postgres and Webstorm

You've got some practice with using SQL to select, update, and join database tables.

But perhaps you've found yourself with a sneaking suspicion that you could be more efficient with your PostgreSQL.

Does your query seem slow?

A lesson on how to profile queries will point you in the direction of a fix.

Are you performing multi-step operations one at a time that are susceptible to errors?

The "all or nothing" transaction is the cure.

These are just a couple of examples of the techniques, tips, and tricks that Tyler Clark has learned in his years of experience working on large scale production applications.

Other topics in this course include working with CSV files, different techniques for aggregating & filtering, and more!

Watch Tyler's course, and continue your journey toward SQL mastery.

Check out the [**Community Notes for this course.**](https://github.com/eggheadio-projects/advanced-sql-for-professional-developers)

PostgreSQL is a powerful, open source object-relational database system.

postgres

Advanced SQL for Professional Developers

SSH provides a secure way for your to [connect to and authenticate with GitHub's servers](https://help.github.com/en/github/authenticating-to-github/about-ssh). While HTTPS connections use usernames and passwords as credentials, SSH instead uses public and private key pairs. These can be generated on your system using a CLI like [`ssh-keygen`](https://help.github.com/en/github/authenticating-to-github/generating-a-new-ssh-key-and-adding-it-to-the-ssh-agent) and then associated with your GitHub account using the public key.

In some cases, you may need to connect to more than one GitHub account from the same system. For example, you may have [separate accounts for personal and professional projects](https://ryanharris.dev/managing-ssh-keys-for-github/), which can be difficult to manage manually. Using `ssh-agent` and a SSH configuration file, you can alleviate this pain point by automatically determining which key to use based on your GitHub repository's `git` URL.

Bash is a Unix shell and command language written by Brian Fox for the GNU Project as a free software replacement for the Bourne shell. Bash is a command processor that typically runs in a text window, where the user types commands that cause actions. Bash can also read and execute commands from a file, called a shell script.

bash

Secure GitHub connections with SSH

Github Actions are an awesome tool from Github that allows us to automate tasks using code-based workflow configuration files. There's also a large marketplace that comes stocked with many useful tools that are ready out of the box.

But sometimes the options available don't completely solve our needs or maybe we're working with a new technology that's simply not available as an Action yet. Luckily, Github allows anyone to create their own Actions using common technologies like Javascript via Node.

We'll learn how to create a new Javascript-based Github Action running on Node. We'll first walk through a simple Hello World example, learn how to test it locally, version control it, use it in the wild, and move on to more advanced solutions that include using packages from npm!

GitHub fosters a fast, flexible, and collaborative development process that lets you work on your own or with others.

github

Create a New Github Action to Automate Code Tasks with Javascript

Most applications rely on databases to store data. Understanding how to create a database and communicate with it unlocks a critical power in your web development career. 

In this course, Tyler presents all the building blocks of creating and interacting with a PostgreSQL database. From creating a brand new table, up through organizing and aggregating data across multiple tables, you will learn the fundamental skills of SQL — and you’ll be prepared to apply them right away.

After completing this course, you’ll be ready to tackle more challenging SQL topics like proper data modeling, normalizing data, and exploring different database types.


Check out the [**Community Notes for this course.**](https://github.com/eggheadio-projects/sql-fundamentals)

SQL Fundamentals

Handy tips for boosting your productivity in GitHub. These are bite-sized things you can take advantage of today to boost your efficiency by 1% or more. What are you waiting for? Check 'em out! 

GitHub Tips & Tricks

GitHub Actions are a powerful workflow tool that allows you to write and use custom code to execute workflows. It's like a serverless CI/CD platform built directly into GitHub. We have access to GitHub's registries, our own repos, multiple platforms (Mac, Windows, Linux), runtimes (VMs and Containers), and languages (JS, Rust, Go, etc) to perform any action we want. We can trigger workflows using GitHub's own events, our custom events, or even scheduled events like a cronjob.

GitHub Actions at Work

You know the basics of Postgres, but most meaningful queries will require you to combine tables in novel ways to ask questions you couldn't ask with a single table alone. Joins and unions come up over and over again in interview questions -- because of how fundamental they are. This course will make you a master of your tables, and give you the power to answer questions you couldn't before. 

Understand Joins and Unions in Postgres

In this course we will show you how to wield the power behind the elusive window function. Which five movies were the highest grossing each year? Who are the highest performers in each department relative to their peers? These questions ask us to partition records into subgroups and answer questions about those groups -- that’s the power of a window function. 

Many programmers will reach for their favorite scripting language to solve problems like these, but window functions allow you to answer them with the speed and efficiency of the Postgres query planner.

Plus, with the power to further slice and dice this derivative information, there’s no limit to the questions you can answer with raw SQL.

If you’re interested in the Postgres client that is used in this course you can [download it here](https://macpostgresclient.com/?source=brett) to check it out and follow along.

Using Postgres Window Functions

It’s amazing how much you can accomplish with a basic knowledge of SQL. In this course we’ll learn how to store lots of information (many millions of things!) and answer nearly any question we might have about that information (on the order of milliseconds!) 

We’ll learn enough to make you say you “know SQL” -- table creation, inserts, selects, updates, deletes, aggregations, indexes, joins, and constraints. Along the way we’ll model real world problems so that you can see just how powerful SQL will make you!

If you’re interested in the Postgres client that is used in this course you can [download it here](https://macpostgresclient.com/?source=brett) to check it out and follow along.

Get Started With PostgreSQL

Publishing a JavaScript library for public use requires some extra steps. You need to think about how people will use the library. From end users, to contributors your library now has a variety of people outside of yourself potentially making use of the code that you've released into the wild.

From Github and npm, to releasing beta versions, semantic versioning, code coverage, continuous integration, and providing your library with a solid set of unit tests, there are a ton of things to learn.

This series will guide you through a set of steps to publish a JavaScript open source library.

You might also enjoy [this article about contributing to open source](https://egghead.io/articles/get-started-contributing-to-javascript-open-source).

How to Write an Open Source JavaScript Library

“Feel free to submit a PR!” - words often found in GitHub issues, but met with confusion and fear by many. Getting started with contributing open source is not always straightforward and can be tricky. With this series, you’ll be equipped with the the tools, knowledge, and understanding you need to be productive and contribute to the wonderful world of open source projects. Much of this series speaks about GitHub, but most of the concepts are generally applicable to contributing to any open source project, regardless of where it’s hosted.

So enjoy the course and start contributing to the projects you use and love today!

Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.

How to Contribute to an Open Source Project on GitHub

In this lesson, we’ll apply our knowledge of `getopts` and create a script that opens a PR on Github, all without leaving your terminal. We’ll use `getopts` to take 3 options: username, password or token, and PR title. We’ll use any input after that as the body of the PR. We’ll validate the input and then use `curl` to POST it to Github. 

Create a Bash Script to Open a Pull Request on Github using getopts

Creating tables is actually quite simple. However before we go creating tables we need to first understand the data we want to store. To make sure our data scales appropriately we need to break down the data into its smallest form so we can easily add data and read from it. 

### Other DB Types
https://dev.mysql.com/doc/refman/8.0/en/data-types.html
https://docs.oracle.com/cd/B28359_01/server.111/b28318/datatype.htm
https://docs.microsoft.com/en-us/sql/t-sql/data-types/data-types-transact-sql?view=sql-server-2017
https://www.postgresql.org/docs/9.5/datatype.html

Create a Table with SQL Create

Tables in databases are not worth much value if they do not actually hold data. In this lesson we will use the insert statement to add rows of data to our table. We'll break down each component of the statement and review what is required for a successful insert. 


Add Data to a Table with SQL Insert

Databases are not really good for anything if we are not able to get the data out. By using the select statement, we can pull out all of the data within our database table. Let's work with different queries that pulls out all of our columns, just some of the columns, and even filters out duplicate column values. 

Query Data with the Select Command in SQL

One of the core commands in SQL is update. This is how we can modify the data that is already in our database table. Let’s update our users table and change one of our user's duplicated user handle to a new UUID. We'll even use a postgres extension to generate new UUIDs.  




**UUIDs / GUIDs**

*Postgres* - http://www.postgresqltutorial.com/postgresql-uuid/

*SQL Server*- https://docs.microsoft.com/en-us/sql/t-sql/functions/newid-transact-sql?view=sql-server-2017

*MySQL* - https://dev.mysql.com/doc/refman/8.0/en/miscellaneous-functions.html#function_uuid

*Oracle* - https://docs.oracle.com/javase/8/docs/api/java/util/UUID.html




Update Data in a Table with SQL Update

Deleting data within our table is easily done by using ether the delete, truncate, or just dropping the table altogether from our database. Let’s remove a user from our table using the delete command, remove everyone with truncate, then drop the entire table with the drop command. 

Removing Data with SQL Delete, Truncate, and Drop

SQL gives us the power to choose what data we pull out of our table. We will use the where clause within our select statement with many operators. These include the greater than, less than, equal, and not equal. We will also use some special operators such as "in", "between", and "is". 

Conditionally Select out Filtered Data with SQL Where

Another powerful SQL skill is understanding how to group rows together by column values.  Once the data is grouped together, it can be difficult to understand how to actually work with the groupings. In this lesson, we will use the group by clause, as well as the count, sum, avg, min, and max aggregate functions. 

### Counts with create date and first name example: 
```sql
SELECT u.total, u.create_date, first_name 
FROM Users us 
INNER JOIN (SELECT count(create_date) AS total, create_date 
   FROM Users
   GROUP BY create_date) u ON u.create_date = us.create_date;
```

### Min create date with first name example: 
```sql
SELECT create_date, first_name 
FROM Users 
WHERE create_date = (select min(create_date) FROM Users);
```
### Aggregate functions: 

https://www.postgresql.org/docs/9.5/functions-aggregate.html
https://dev.mysql.com/doc/refman/8.0/en/group-by-functions.html
https://docs.microsoft.com/en-us/sql/t-sql/functions/aggregate-functions-transact-sql
https://docs.oracle.com/database/121/SQLRF/functions003.htm

Select Grouped and Aggregated Data with SQL

When working with database tables, we want to make sure we keep our data as simple as possible. This can sometimes mean having multiple tables that share some data columns. Using the join statement, we can combine data between two tables on similar column data to gather more information in one query. Let’s work through some common join statements like left, right, inner, and cross join. 


Combining Tables Together with SQL Join Statements

SQL is dynamic enough to handle queries within queries. These inner queries are called subqueries and they can be used in many different sections of another query. In this video we will use subqueries within a where clause, a join statement, and as a column value. 

### Answer to video challenge
```
select user_handle, sku, (select avg(quantity) from Purchases where user_handle = p.user_handle and sku = p.sku) from Purchases p group by user_handle, sku;
```

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