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Fixed #12671 -- Added set_many(), get_many(), and clear() methods to the cache backend interface. Thanks to Jeff Balogh for the report and patch.
git-svn-id: http://code.djangoproject.com/svn/django/trunk@12306 bcc190cf-cafb-0310-a4f2-bffc1f526a37
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AUTHORS
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@ -56,6 +56,7 @@ answer newbie questions, and generally made Django that much better:
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Mike Axiak <axiak@mit.edu>
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Niran Babalola <niran@niran.org>
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Morten Bagai <m@bagai.com>
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Jeff Balogh <jbalogh@mozilla.com>
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Mikaël Barbero <mikael.barbero nospam at nospam free.fr>
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Randy Barlow <randy@electronsweatshop.com>
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Scott Barr <scott@divisionbyzero.com.au>
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@ -91,3 +91,28 @@ class BaseCache(object):
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# so that it always has the same functionality as has_key(), even
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# if a subclass overrides it.
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return self.has_key(key)
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def set_many(self, data, timeout=None):
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"""
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Set a bunch of values in the cache at once from a dict of key/value
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pairs. For certain backends (memcached), this is much more efficient
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than calling set() multiple times.
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If timeout is given, that timeout will be used for the key; otherwise
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the default cache timeout will be used.
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"""
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for key, value in data.items():
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self.set(key, value, timeout)
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def delete_many(self, keys):
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"""
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Set a bunch of values in the cache at once. For certain backends
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(memcached), this is much more efficient than calling delete() multiple
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times.
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"""
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for key in keys:
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self.delete(key)
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def clear(self):
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"""Remove *all* values from the cache at once."""
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raise NotImplementedError
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@ -84,7 +84,7 @@ class CacheClass(BaseCache):
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def _cull(self, cursor, now):
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if self._cull_frequency == 0:
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cursor.execute("DELETE FROM %s" % self._table)
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self.clear()
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else:
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cursor.execute("DELETE FROM %s WHERE expires < %%s" % self._table, [str(now)])
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cursor.execute("SELECT COUNT(*) FROM %s" % self._table)
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@ -92,3 +92,7 @@ class CacheClass(BaseCache):
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if num > self._max_entries:
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cursor.execute("SELECT cache_key FROM %s ORDER BY cache_key LIMIT 1 OFFSET %%s" % self._table, [num / self._cull_frequency])
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cursor.execute("DELETE FROM %s WHERE cache_key < %%s" % self._table, [cursor.fetchone()[0]])
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def clear(self):
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cursor = connection.cursor()
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cursor.execute('DELETE FROM %s' % self._table)
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@ -23,3 +23,12 @@ class CacheClass(BaseCache):
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def has_key(self, *args, **kwargs):
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return False
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def set_many(self, *args, **kwargs):
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pass
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def delete_many(self, *args, **kwargs):
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pass
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def clear(self):
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pass
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@ -2,6 +2,7 @@
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import os
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import time
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import shutil
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try:
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import cPickle as pickle
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except ImportError:
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@ -150,3 +151,9 @@ class CacheClass(BaseCache):
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count += len(files)
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return count
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_num_entries = property(_get_num_entries)
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def clear(self):
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try:
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shutil.rmtree(self._dir)
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except (IOError, OSError):
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pass
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@ -110,8 +110,7 @@ class CacheClass(BaseCache):
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def _cull(self):
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if self._cull_frequency == 0:
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self._cache.clear()
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self._expire_info.clear()
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self.clear()
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else:
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doomed = [k for (i, k) in enumerate(self._cache) if i % self._cull_frequency == 0]
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for k in doomed:
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@ -133,3 +132,7 @@ class CacheClass(BaseCache):
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self._delete(key)
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finally:
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self._lock.writer_leaves()
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def clear(self):
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self._cache.clear()
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self._expire_info.clear()
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@ -71,3 +71,17 @@ class CacheClass(BaseCache):
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if val is None:
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raise ValueError("Key '%s' not found" % key)
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return val
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def set_many(self, data, timeout=0):
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safe_data = {}
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for key, value in data.items():
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if isinstance(value, unicode):
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value = value.encode('utf-8')
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safe_data[smart_str(key)] = value
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self._cache.set_multi(safe_data, timeout or self.default_timeout)
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def delete_many(self, keys):
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self._cache.delete_multi(map(smart_str, keys))
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def clear(self):
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self._cache.flush_all()
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@ -62,7 +62,7 @@ It's used by sites such as Facebook and Wikipedia to reduce database access and
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dramatically increase site performance.
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Memcached is available for free at http://danga.com/memcached/ . It runs as a
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daemon and is allotted a specified amount of RAM. All it does is provide an
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daemon and is allotted a specified amount of RAM. All it does is provide a
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fast interface for adding, retrieving and deleting arbitrary data in the cache.
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All data is stored directly in memory, so there's no overhead of database or
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filesystem usage.
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@ -522,11 +522,37 @@ actually exist in the cache (and haven't expired)::
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>>> cache.get_many(['a', 'b', 'c'])
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{'a': 1, 'b': 2, 'c': 3}
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Finally, you can delete keys explicitly with ``delete()``. This is an easy way
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of clearing the cache for a particular object::
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.. versionadded:: 1.2
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To set multiple values more efficiently, use ``set_many()`` to pass a dictionary
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of key-value pairs::
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>>> cache.set_many({'a': 1, 'b': 2, 'c': 3})
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>>> cache.get_many(['a', 'b', 'c'])
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{'a': 1, 'b': 2, 'c': 3}
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Like ``cache.set()``, ``set_many()`` takes an optional ``timeout`` parameter.
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You can delete keys explicitly with ``delete()``. This is an easy way of
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clearing the cache for a particular object::
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>>> cache.delete('a')
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.. versionadded:: 1.2
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If you want to clear a bunch of keys at once, ``delete_many()`` can take a list
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of keys to be cleared::
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>>> cache.delete_many(['a', 'b', 'c'])
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.. versionadded:: 1.2
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Finally, if you want to delete all the keys in the cache, use
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``cache.clear()``. Be careful with this; ``clear()`` will remove *everything*
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from the cache, not just the keys set by your application. ::
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>>> cache.clear()
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.. versionadded:: 1.1
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You can also increment or decrement a key that already exists using the
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@ -129,9 +129,24 @@ class DummyCacheTests(unittest.TestCase):
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self.cache.set(key, value)
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self.assertEqual(self.cache.get(key), None)
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def test_set_many(self):
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"set_many does nothing for the dummy cache backend"
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self.cache.set_many({'a': 1, 'b': 2})
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def test_delete_many(self):
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"delete_many does nothing for the dummy cache backend"
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self.cache.delete_many(['a', 'b'])
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def test_clear(self):
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"clear does nothing for the dummy cache backend"
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self.cache.clear()
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class BaseCacheTests(object):
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# A common set of tests to apply to all cache backends
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def tearDown(self):
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self.cache.clear()
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def test_simple(self):
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# Simple cache set/get works
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self.cache.set("key", "value")
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self.cache.set(key, value)
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self.assertEqual(self.cache.get(key), value)
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def test_set_many(self):
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# Multiple keys can be set using set_many
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self.cache.set_many({"key1": "spam", "key2": "eggs"})
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self.assertEqual(self.cache.get("key1"), "spam")
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self.assertEqual(self.cache.get("key2"), "eggs")
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def test_set_many_expiration(self):
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# set_many takes a second ``timeout`` parameter
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self.cache.set_many({"key1": "spam", "key2": "eggs"}, 1)
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time.sleep(2)
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self.assertEqual(self.cache.get("key1"), None)
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self.assertEqual(self.cache.get("key2"), None)
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def test_delete_many(self):
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# Multiple keys can be deleted using delete_many
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self.cache.set("key1", "spam")
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self.cache.set("key2", "eggs")
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self.cache.set("key3", "ham")
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self.cache.delete_many(["key1", "key2"])
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self.assertEqual(self.cache.get("key1"), None)
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self.assertEqual(self.cache.get("key2"), None)
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self.assertEqual(self.cache.get("key3"), "ham")
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def test_clear(self):
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# The cache can be emptied using clear
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self.cache.set("key1", "spam")
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self.cache.set("key2", "eggs")
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self.cache.clear()
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self.assertEqual(self.cache.get("key1"), None)
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self.assertEqual(self.cache.get("key2"), None)
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class DBCacheTests(unittest.TestCase, BaseCacheTests):
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def setUp(self):
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management.call_command('createcachetable', 'test_cache_table', verbosity=0, interactive=False)
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def tearDown(self):
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from django.db import connection
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cursor = connection.cursor()
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cursor.execute('DROP TABLE test_cache_table');
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cursor.execute('DROP TABLE test_cache_table')
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class LocMemCacheTests(unittest.TestCase, BaseCacheTests):
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def setUp(self):
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self.dirname = tempfile.mkdtemp()
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self.cache = get_cache('file://%s' % self.dirname)
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def tearDown(self):
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shutil.rmtree(self.dirname)
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def test_hashing(self):
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"""Test that keys are hashed into subdirectories correctly"""
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self.cache.set("foo", "bar")
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