Contacts database

Goal: measure performance of a simple application in two scenarios - with and without a SQL index

Step 1 - measure performance without an index

Run the main application with a small number of contacts (<100) see various readme by languages on how to do that.

You'll get an error message because the code is not complete, so start by implementing the TODO comments.

Create a document matching the size of the database with the duration of the query (in milliseconds):

size	time (in ms)
10	...
100	...
1,000	...
10,000	...
50,000	...
100,000	...
1,000,000...	...

You'll probably notice the code does not work when n gets big (=~ 1,000,000).

Inserting contacts one by one will be to slow, but inserting 1 million contacts at once will probably not work either. You'll have to be smart :)

Make a graph from the table. Does the result match what you would expect ?

Step 2 - measure performance with an index

Redo the measurements, but this time, create an index before inserting the contacts:

CREATE TABLE contacts(
  id INTEGER PRIMARY KEY,
  name TEXT NOT NULL,
  email TEXT NOT NULL
)

CREATE UNIQUE INDEX index_contacts_email ON contacts(email);

Make a graph for the new result. Does it match what you would expect ?