Log Analysis Project - Udacity
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README.md
log_analysis.py
log_analysis_print.txt

README.md

Steps to run program:

  1. Use scripts below to create 4 (author_sum, author_name, error and success) views.
  2. Run python3 log_anaylsis.py

view: Count of articles w/ author ID

create view author_sum as select slug, author, count(log.path)::numeric as sum from articles, log where log.path = '/article/' || articles.slug group by articles.author, articles.slug order by articles.author;

Column Type
slug text
sum bigint

author_name view: Link author ID to real name.

create view author_name as select authors.name, articles.slug from authors, articles where authors.id=articles.author group by authors.name, articles.slug;

Column Type
name text
slug text

error view: Count days with errors in the connections

create view error as select date(time), count(*) as errors from log where status not like '200%' group by date(time) order by date(time);

Column Type
date_part double precision
errors bigint

success view: Count days with errors in the connections

create view success as select date(time), count(*) as success from log where status like '200%' group by date(time) order by date(time);

Column Type
date_part double precision
success bigint