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Project 1, Part 2

  • Assigned: 10/3
  • Due: 10/17 10:00AM Electronically
  • Value: 25% of Project 1 grade

In this part of the project, you will revise your design based on the staff's feedback on part 1. You will implement the database tables (including all constraints), populate the database, and write some queries.

Logistics

Project mentor

  • The TA that graded your part 1 will be your project mentor for the rest of your project -- this is likely the TA that you discussed part 1 with. He or she will be your main contact for the project, though the rest of the staff are of course available for questions or concerns.

Google Cloud Platform

Computing and Databases

  • In the upper left Project dropdown, click create project and name it W4111. Then create a new VM following steps to set up server on Google Cloud Platform. You need to associate a billing acount with the project, use the one that is created when your coupon code is redeemed. You can then use this VM to complete the assignment and all future assignments that require a VM.
  • You are welcome to setup PostgreSQL on your VM, see instructions at https://cloud.google.com/solutions/set-up-postgres. Or you can use the databases that the staff is running for you.

Procedures

Preliminaries

  1. Pick up your graded Part 1 starting on 10/10, and revise your design based on its feedback.
  • You will be graded based on how well you addressed the project mentor's comments. In general, listen to your project mentor's suggestions.
  1. Familiarize yourself with the PostgreSQL documentation! We will use PostgreSQL 9.3 (the minor version .3 doesn't matter so much).

Make the database

  1. Connect to your database (only one team member needs to do this database part)
  • Navigate to your instance in the Cloud Platform Console, click the ssh button that appears next to your instance, a command line window will pop up

  • Install psql, two steps

      sudo apt-get update
      sudo apt-get -y install postgresql postgresql-client postgresql-contrib
    
  • After the installation is completed, connect to our postgres database using psqlcommand

      psql -U <your uni> postgres -h 104.196.175.120
    
  • It will ask for your password, which is included in the Courseworks message we sent. If you didn't get the message, post a private question on Piazza. You may play with Postgres a little bit before the graded project 1 part 1 is returned to you.

  • If the database cannot handle the number of connections, we may create a second database server (we will let you know!)

  1. Create the SQL tables based on your revised schema.
  1. Create the CHECK constraints that you need to express the rest of your real-world constraints.
  • Note: PostgreSQL's CHECK constraints are limited (see the documentation), so do what you can.
  • Note: PostgreSQL doesn't support CREATE ASSERTION statements. but does support triggers. However, you are not required to implement constraints that require triggers

Populate the tables

  1. Insert at least 10 realistic/real tuples into each table in your database.
  • This should be based on your description in part 1

Run some queries

  1. Run 3 interesting queries. The three queries, together, should include multi-table joins, WHERE clauses, and aggregation (e.g. COUNT, SUM, MIN, etc). Each query does not need to include all of those SQL features.

Submission

Since you created the database on the course database machine, we have access to your database and populated tables, so you are almost done!

Go to the google docs form and fill it out. You can edit your submission until the due date (be careful, since if you submit afterwards it will be counted as late). We will use the google docs submission timestamp.

Finally, turn in the graded ER diagram from part 1 at the beginning of class (this is part of the assignment, so late days will be in effect).

Grading

Grading depends on the following:

  • how well you incorporated your mentor's feedback (important)
  • Quality of the SQL schema and implementation: how well it conforms with the ER diagram and constraints
  • Your SQL statements: are they reasonable application queries and do they use the SQL features as requested?
  • Quality of the data: is it realistic?