Where Am I: URL Assertions with Cypress

The URL that appears in the browser's URL bar is one of the first and
primary ways that users interact with our web apps. The URL tells the app
and the user of their location within the route hierarchy of the app. It
sometimes even contains state. The URL consequently serves as an excellent
first assertion when writing integration tests.

When writing Cypress integration tests, there are
several ways for us to assert about the current URL.

The cy.url() and
functions are the primary ways for us to gain access to information about
the current state of the URL. From there, we can perform a variety of

We can assert about the entire URL:

// URL: http://localhost:8000/pokemon
cy.url().should('eq', 'http://localhost:8000/pokemon');
// ✅ passes

This is certain the most precise assertion. The tradeoff is that it requires
us to know something

Continue reading “Where Am I: URL Assertions with Cypress”

When To Use Redux

Have you had a conversation about Redux recently that has left you wondering — despite all of its praise and the assured recommendations — if you made a big mistake when you typed the words, yarn add redux?

Jani is being a bit facetious here. But if you’ve been following along on twitter, there has been a lot of discussion about redux. The crux of the conversation is aimed at whether most apps even call for the use of redux and consequently if we, as developers, are using it when we don’t need it.

Generate Dates in PostgreSQL

PostgreSQL has shipped with the generate_series() function for quite some
time. This function is often used to generate series of numeric data. For
instance, in my post, Understanding Common Table Expressions with
I used it to generate a series of integers from 1 to 100.

As of PostgreSQL 8.4, support for generating series of timestamp data was
added. I don't see this used often, so let's take a look at it.

We could take a peak at the online documentation to see the function
signature, or we could pull it up in psql using \df.

> \df generate_series()
                                                               List of functions
   Schema   |      Name       |         Result data type          |                        Argument data types                         |  Type
 pg_catalog | generate_series | SETOF bigint                      | bigint, bigint                                                     | normal
 pg_catalog | generate_series | SETOF bigint                      | bigint, bigint, bigint                                             | normal
 pg_catalog | generate_series | 
Continue reading "Generate Dates in PostgreSQL"

Swap Two Column Values in SQL: Part 2

In the first part of this post we looked at a technique for swapping two
column values for existing records in a single statement. It is a relatively
sound solution that takes advantage of subqueries and a case statement.
Unfortunately, it has a couple drawbacks which we will address in this post.

This post builds off of Part 1. If you haven't already, give it a

The first drawback can be demonstrated by building on our existing example,
the pages table which has the following data.

select * from pages order by ordering;
 id |  name  | ordering
  3 | Green  |        1
  1 | Red    |        2
  4 | Yellow |        3
  2 | Blue   |        4

In the interest of maintaining data integrity, it is reasonable to expect
that a table like this would have a uniqueness constraint on ordering.
Let's add that to ensure

Continue reading “Swap Two Column Values in SQL: Part 2”

Swap Two Column Values in SQL: Part 1

I recently needed to write a PostgreSQL snippet that would massage some
data. More specifically, I needed to swap the ordering of two different
records in the pages table. These records are made up of an id, a
name, and an ordering.

Here is a snapshot of the data in pages.

select * from pages order by ordering;
 id |  name  | ordering
  3 | Green  |        1
  1 | Red    |        2
  4 | Yellow |        3
  2 | Blue   |        4

We've been informed that we need to swap the ordering of Red and Blue.
We can see here in this snapshot of the data that Red has an ordering of
2 and Blue has an ordering of 4.

Doing a swap based on the data that we have locally would be most easily
accomplished with a couple update statements.

update pages set ordering 
Continue reading "Swap Two Column Values in SQL: Part 1"

Advanced Queries with ActiveRecord’s From Method

For those of us that write database-backed Rails apps,
ActiveRecord is a
familiar beast. We know its various query building methods well: where,
order, limit, and even group. The most important SQL clause is
conspicuously missing from our repertoire: the from clause.

Chances are you can't think of many, if any, times that you've used
ActiveRecord's from method. This is to be expected. The from clause in
SQL specifies the target table of a query. In the context of ActiveRecord, the
target table is explicitly expressed by the model from which you query.

Consider the times you use one-liners such as Developer.first,
Developer.all, and Developer.count. With each of these, the developers
table as the target of the query is expressed by the use of the Developer

So, where does the from method come into the picture?

describe the

Continue reading "Advanced Queries with ActiveRecord’s From Method"