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SQLQueryProject

A sample SQL database project that contains 3 sample queries in the queries.py file, written in Python.

To connect to the database, make sure you have psql (https://launchschool.com/blog/how-to-install-postgresql-on-a-mac) installed on your terminal as a command. Then, unzip the newsdata.zip to get a newsdata.sql file, and move that file to your directory. cd into the directory, and run the following commands:

  • psql
  • -d news
  • -f newsdata.sql

This connects to the installed database, creates the tables from the file, and populates them with data. From there, you can run many psql commands (https://www.postgresql.org/docs/8.4/static/tutorial-select.html) to query the data, or to explore the relations and their respective columns of data. The following relations contained in the news database are:

  • log
  • authors
  • articles

psql commands to explore the database:

  • \d [insert relation name here] to fetch the columns contained in the relation, and their respective datatypes
  • \dt to fetch all the relations in the database
  • \dt+ to fetch all the relations in the database with disk storage information
  • select * from [insert relation name here] explores all the populated data as tuples in a relation. NOTE: Some relations take a while to query all the data, especially log . This is okay as it takes time to load a large amount of populated tuples!

To run this application, change directory into this application via bash and run the command: "python queries.py" from bash. You are then given 3 different queries to choose from:

  1. Find the top 3 articles of all time based on views.
  2. Find the top authors of all time on an aggregation count of all article views by the same actor.
  3. Find the day(s) where the number of errors a website encountered is greater than 1%.
  4. Exit the program.

For the results on those queries, kindly refer to the results.txt file.

I hope you have a kick ass time with psql!

Special thanks to the Udacity team for fostering incredible education and passion into the hearts of their students.

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A sample SQL query project to sort famous articles and authors based on popularity!

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