Update docs to remove SQLite stuff

I've decided to use PostgreSQL instead of SQLite because the UPSERT
support is available in versions of PostgreSQL we're alread running,
whereas SQLite needs a VERY new (3.24.0) version that is not avail-
able on any recent long-term support Ubuntu releases.

.gitignore

@@ -1,3 +1,2 @@
 __pycache__
 venv
-*.db

CHANGELOG.md

@@ -4,6 +4,10 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [0.2.0] - 2018-09-24
+### Changed
+- Use PostgreSQL instead of SQLite because UPSERT support needs a very new libsqlite3 whereas it's already in PostgreSQL 9.5+
+
 ## [0.1.0] - 2018-09-24
 ### Changed
 - Rename project to "DSpace Statistics API"

README.md

@@ -1,14 +1,14 @@
 # DSpace Statistics API
 A quick and dirty REST API to expose Solr view and download statistics for items in a DSpace repository.
 
-Written and tested in Python 3.6. SolrClient (0.2.1) does not currently run in Python 3.7.0. Requires SQLite version 3.24.0 or greater for [`UPSERT` support](https://www.sqlite.org/lang_UPSERT.html).
+Written and tested in Python 3.6. SolrClient (0.2.1) does not currently run in Python 3.7.0. Requires PostgreSQL version 9.5 or greater for [`UPSERT` support](https://wiki.postgresql.org/wiki/UPSERT).
 
 ## Installation
 Create a virtual environment and run it:
 
     $ virtualenv -p /usr/bin/python3.6 venv
     $ . venv/bin/activate
-    $ pip install falcon gunicorn SolrClient
+    $ pip install falcon gunicorn SolrClient psycopg2-binary
     $ gunicorn app:api
 
 ## Todo

indexer.py

@@ -20,7 +20,7 @@
 # ---
 #
 # Connects to a DSpace Solr statistics core and ingests item views and downloads
-# into a SQLite database for use with other applications (an API, for example).
+# into a Postgres database for use with other applications (an API, for example).
 #
 # This script is written for Python 3 and requires several modules that you can
 # install with pip (I recommend setting up a Python virtual environment first):