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https://github.com/ilri/dspace-statistics-api.git
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Alan Orth
9e942736b1
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).
12 lines
266 B
Python
12 lines
266 B
Python
from config import SQLITE_DB
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import sqlite3
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def database_connection():
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connection = sqlite3.connect(SQLITE_DB)
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# allow iterating over row results by column key
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connection.row_factory = sqlite3.Row
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return connection
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# vim: set sw=4 ts=4 expandtab:
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