blob: d2b422af8350fa3590d3b2f41e40f22583543349 [file] [log] [blame]
"Database cache backend."
from django.core.cache.backends.base import BaseCache
from django.db import connection, transaction, DatabaseError
import base64, time
from datetime import datetime
try:
import cPickle as pickle
except ImportError:
import pickle
class CacheClass(BaseCache):
def __init__(self, table, params):
BaseCache.__init__(self, params)
self._table = table
max_entries = params.get('max_entries', 300)
try:
self._max_entries = int(max_entries)
except (ValueError, TypeError):
self._max_entries = 300
cull_frequency = params.get('cull_frequency', 3)
try:
self._cull_frequency = int(cull_frequency)
except (ValueError, TypeError):
self._cull_frequency = 3
def get(self, key, default=None):
cursor = connection.cursor()
cursor.execute("SELECT cache_key, value, expires FROM %s WHERE cache_key = %%s" % self._table, [key])
row = cursor.fetchone()
if row is None:
return default
now = datetime.now()
if row[2] < now:
cursor.execute("DELETE FROM %s WHERE cache_key = %%s" % self._table, [key])
transaction.commit_unless_managed()
return default
return pickle.loads(base64.decodestring(row[1]))
def set(self, key, value, timeout=None):
self._base_set('set', key, value, timeout)
def add(self, key, value, timeout=None):
return self._base_set('add', key, value, timeout)
def _base_set(self, mode, key, value, timeout=None):
if timeout is None:
timeout = self.default_timeout
cursor = connection.cursor()
cursor.execute("SELECT COUNT(*) FROM %s" % self._table)
num = cursor.fetchone()[0]
now = datetime.now().replace(microsecond=0)
exp = datetime.fromtimestamp(time.time() + timeout).replace(microsecond=0)
if num > self._max_entries:
self._cull(cursor, now)
encoded = base64.encodestring(pickle.dumps(value, 2)).strip()
cursor.execute("SELECT cache_key FROM %s WHERE cache_key = %%s" % self._table, [key])
try:
if mode == 'set' and cursor.fetchone():
cursor.execute("UPDATE %s SET value = %%s, expires = %%s WHERE cache_key = %%s" % self._table, [encoded, str(exp), key])
else:
cursor.execute("INSERT INTO %s (cache_key, value, expires) VALUES (%%s, %%s, %%s)" % self._table, [key, encoded, str(exp)])
except DatabaseError:
# To be threadsafe, updates/inserts are allowed to fail silently
return False
else:
transaction.commit_unless_managed()
return True
def delete(self, key):
cursor = connection.cursor()
cursor.execute("DELETE FROM %s WHERE cache_key = %%s" % self._table, [key])
transaction.commit_unless_managed()
def has_key(self, key):
cursor = connection.cursor()
cursor.execute("SELECT cache_key FROM %s WHERE cache_key = %%s" % self._table, [key])
return cursor.fetchone() is not None
def _cull(self, cursor, now):
if self._cull_frequency == 0:
cursor.execute("DELETE FROM %s" % self._table)
else:
cursor.execute("DELETE FROM %s WHERE expires < %%s" % self._table, [str(now)])
cursor.execute("SELECT COUNT(*) FROM %s" % self._table)
num = cursor.fetchone()[0]
if num > self._max_entries:
cursor.execute("SELECT cache_key FROM %s ORDER BY cache_key LIMIT 1 OFFSET %%s" % self._table, [num / self._cull_frequency])
cursor.execute("DELETE FROM %s WHERE cache_key < %%s" % self._table, [cursor.fetchone()[0]])