dspace-statistics-api/database.py

from config import DATABASE_NAME
from config import DATABASE_USER
from config import DATABASE_PASS
from config import DATABASE_HOST
import psycopg2

def database_connection():
    connection = psycopg2.connect("dbname={} user={} password={} host='{}'".format(DATABASE_NAME, DATABASE_USER, DATABASE_PASS, DATABASE_HOST))

    return connection

# vim: set sw=4 ts=4 expandtab:
Use PostgreSQL instead of SQLite I was very surprised how easy and fast and robust SQLite was, but in the end I realized that its UPSERT support only came in version 3.24 and both Ubuntu 16.04 and 18.04 have older versions than that! I did manage to install libsqlite3-0 from Ubuntu 18.04 cosmic on my xenial host, but that feels dirty. PostgreSQL has support for UPSERT since 9.5, not to mention the same nice LIMIT and OFFSET clauses. 2018-09-24 23:49:47 +02:00			`from config import DATABASE_NAME`
			`from config import DATABASE_USER`
			`from config import DATABASE_PASS`
			`from config import DATABASE_HOST`
			`import psycopg2`

			`def database_connection():`
			`connection = psycopg2.connect("dbname={} user={} password={} host='{}'".format(DATABASE_NAME, DATABASE_USER, DATABASE_PASS, DATABASE_HOST))`
Split database access into RW and RO The indexer need to be able to write to the database, but the API only needs to read it. 2018-09-23 23:00:05 +02:00
			`return connection`

app.py: Get item statistics from SQLite database It is much more efficient to cache view and download statistics in a database than to query Solr on demand (not to mention that it is not possible to page easily with facets in Solr). I decided to use SQLite because it is fast, native in Python 3, and doesn't require any extra steps during provisioning (assuming permissions are ok). 2018-09-23 15:47:00 +02:00			`# vim: set sw=4 ts=4 expandtab:`