https://github.com/hackvan/sql-bear-organizer
https://github.com/hackvan/sql-bear-organizer
Last synced: 4 months ago
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- Host: GitHub
- URL: https://github.com/hackvan/sql-bear-organizer
- Owner: hackvan
- License: other
- Created: 2018-07-27T19:49:03.000Z (almost 7 years ago)
- Default Branch: master
- Last Pushed: 2018-07-27T19:49:51.000Z (almost 7 years ago)
- Last Synced: 2025-01-05T17:13:23.892Z (5 months ago)
- Language: Ruby
- Size: 8.79 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE.md
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README
# SQL Bear Organizer
[Timothy Treadwell](http://en.wikipedia.org/wiki/Timothy_Treadwell) has a lot on his plate protecting the bears of the Katmai National Park in Alaska. Help him keep track of all of his bear friends using SQL.
## Objectives
1. Use the `CREATE TABLE` command to create a new table with various data types
2. Use the `INSERT INTO` command to insert data (i.e. rows) into a database table
3. Use the `SELECT` command with various functions and modifiers to write queries
## Lab Structure
This lab might seem a bit different than what you've seen before. Take a look at the file structure:
```bash
├── Gemfile
├── README.md
├── bin
│ ├── environment.rb # requires bundler and files
│ ├── run.rb # instantiates the SQLRunner class in the below file
│ └── sql_runner.rb # holds a class that handles executing your .sql files
├── lib
│ ├── create.sql # where you create your schema
│ └── insert.sql # where you insert your data
│ └── seed.sql # data for in-memory database
│ └── sql_queries.rb # where you write your sql queries
└── spec # all the specs
├── create_spec.rb # this tests your create.sql file
├── insert_spec.rb # this tests your insert.sql file
├── select_spec.rb # this tests the queries you write in this file
└── spec_helper.rb
```
### A Note on Testing
Let's briefly go over what is happening in the `before` block that our tests will be using.
```ruby
before do
@db = SQLite3::Database.new(':memory:')
@sql_runner = SQLRunner.new(@db)
@sql_runner.execute_create_file
end
```
Before each test two important things happen.
First, a new in-memory database is created. Why do we do this? Let's say we run our tests and they add ten items to our database. If we did not use an in-memory store, those would be in there forever. This way our database gets thrown out after every running of the tests. You can learn more about in-memory databases [here](https://www.sqlite.org/inmemorydb.html).
Next, a new `SqlRunner` class is created. The `SqlRunner` class lives in your `bin` directory and was created to help connect to the database.
## Part 1: `CREATE TABLE`
Get the tests in `spec/create_spec.rb` to pass. Your `CREATE` statement should look something like this:
```sql
CREATE TABLE bears (
//columns here
);
```
Your columns should be the following types:
|column | type |
|-------|-------|
|id |integer| <-- Make sure this is the table's primary key
|name |text |
|age |integer|
|gender |char(1)(The choices would be "M" or "F")|
|color |text |
|temperament|text|
|alive |boolean|
Read about [SQLite3 Datatypes](https://www.sqlite.org/datatype3.html) to determine what your insert values are going to be. Be sure to pay attention to how booleans are expressed in SQLite3.
## Part 2: `INSERT`
Get the tests in `spec/insert_spec.rb` to pass. Input the following 8 bears (you can make up details about them):
* Mr. Chocolate
* Rowdy
* Tabitha
* Sergeant Brown
* Melissa
* Grinch
* Wendy
* unnamed (the bear that killed Tim didn't have a name; refer back to how to create a record that doesn't have one value)
## Part 3: `SELECT`
Get the tests in `spec/select_spec.rb` to pass. Note that for this section, the database will be seeded with external data from the `lib/seed.sql` file so don't expect it to reflect the data you added above. Note: Since it's a Ruby file, write your queries as strings in the `lib/sql_queries.rb`.
You may be expected to use SQL statements that you're not particularly familiar with. Make sure you use the resources and Google to find the right statements.
## Resources
[SQL Datatypes](https://www.sqlite.org/datatype3.html)
[SQL GROUP BY](https://www.sqlite.org/lang_select.html#resultset)
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