def cache_thing(model, cache_key, data, cond_dnf=[[]], timeout=None):
"""
Writes data to cache and creates appropriate invalidators.
"""
model = non_proxy(model)
if timeout is None:
profile = model_profile(model)
timeout = profile['timeout']
# Ensure that all schemes of current query are "known"
schemes = map(conj_scheme, cond_dnf)
cache_schemes.ensure_known(model, schemes)
txn = redis_client.pipeline()
# Write data to cache
pickled_data = pickle.dumps(data, -1)
if timeout is not None:
txn.setex(cache_key, timeout, pickled_data)
else:
txn.set(cache_key, pickled_data)
# Add new cache_key to list of dependencies for every conjunction in dnf
for conj in cond_dnf:
conj_key = conj_cache_key(model, conj)
txn.sadd(conj_key, cache_key)
if timeout is not None:
# Invalidator timeout should be larger than timeout of any key it references
# So we take timeout from profile which is our upper limit
# Add few extra seconds to be extra safe
txn.expire(conj_key, model._cacheprofile['timeout'] + 10)
txn.execute()
def cache_thing(model, cache_key, data, cond_dnf=[[]], timeout=None):
"""
Writes data to cache and creates appropriate invalidators.
"""
model = non_proxy(model)
if timeout is None:
profile = model_profile(model)
timeout = profile['timeout']
# Ensure that all schemes of current query are "known"
schemes = map(conj_scheme, cond_dnf)
cache_schemes.ensure_known(model, schemes)
txn = redis_client.pipeline()
# Write data to cache
pickled_data = pickle.dumps(data, -1)
if timeout is not None:
txn.setex(cache_key, pickled_data, timeout)
else:
txn.set(cache_key, pickled_data)
# Add new cache_key to list of dependencies for every conjunction in dnf
for conj in cond_dnf:
conj_key = conj_cache_key(model, conj)
txn.sadd(conj_key, cache_key)
if timeout is not None:
# Invalidator timeout should be larger than timeout of any key it references
# So we take timeout from profile which is our upper limit
# Add few extra seconds to be extra safe
txn.expire(conj_key, model._cacheprofile['timeout'] + 10)
txn.execute()
def cache_page_by_queryset(model, cache_key, data, cond_dnf=[[]], timeout=None,
only_conj=False):
""" Overridden method `cacheops.query.cache_thing` which doesn't
pickle data and can set only invalidation conjunctions.
"""
model = non_proxy(model)
if timeout is None:
profile = model_profile(model)
timeout = profile['timeout']
schemes = map(conj_scheme, cond_dnf)
cache_schemes.ensure_known(model, schemes)
txn = redis_client.pipeline()
# Here was data pickling, we don't need it because of caching raw value
# pickled_data = pickle.dumps(data, -1)
# Check whether setting data is allowed in `only_conj` argument
if not only_conj:
if timeout is not None:
txn.setex(cache_key, timeout, data)
else:
txn.set(cache_key, data)
for conj in cond_dnf:
conj_key = conj_cache_key(model, conj)
txn.sadd(conj_key, cache_key)
if timeout is not None:
txn.expire(conj_key, model._cacheprofile['timeout'] + 10)
txn.execute()
def invalidate_obj(obj):
"""
Invalidates caches that can possibly be influenced by object
"""
model = non_proxy(obj.__class__)
load_script('invalidate')(args=[
get_model_name(model),
serialize_object(model, obj)
])
def invalidate_model(model):
"""
Invalidates all caches for given model.
NOTE: This is a heavy artilery which uses redis KEYS request,
which could be relatively slow on large datasets.
"""
model = non_proxy(model)
conjs_keys = redis_client.keys('conj:%s:*' % get_model_name(model))
if conjs_keys:
cache_keys = redis_client.sunion(conjs_keys)
redis_client.delete(*(list(cache_keys) + conjs_keys))
def invalidate_obj(obj):
"""
Invalidates caches that can possibly be influenced by object
"""
model = non_proxy(obj.__class__)
# Loading model schemes from local memory (or from redis)
schemes = cache_schemes.schemes(model)
# We hope that our schemes are valid, but if not we will update them and redo invalidation
# on second pass
for _ in (1, 2):
# Create a list of invalidators from list of schemes and values of object fields
conjs_keys = [
conj_cache_key_from_scheme(model, scheme, obj)
for scheme in schemes
]
# Reading scheme version, cache_keys and deleting invalidators in
# a single transaction.
def _invalidate_conjs(pipe):
# get schemes version to check later that it's not obsolete
pipe.get(cache_schemes.get_version_key(model))
# Get a union of all cache keys registered in invalidators
pipe.sunion(conjs_keys)
# `conjs_keys` are keys of sets containing `cache_keys` we are going to delete,
# so we'll remove them too.
# NOTE: There could be some other invalidators not matched with current object,
# which reference cache keys we delete, they will be hanging out for a while.
pipe.delete(*conjs_keys)
# NOTE: we delete fetched cache_keys later which makes a tiny possibility that something
# will fail in the middle leaving those cache keys hanging without invalidators.
# The alternative WATCH-based optimistic locking proved to be pessimistic.
version, cache_keys, _ = redis_client.transaction(_invalidate_conjs)
if cache_keys:
redis_client.delete(*cache_keys)
# OK, we invalidated all conjunctions we had in memory, but model schema
# may have been changed in redis long time ago. If this happened,
# schema version will not match and we should load new schemes and redo our thing
if int(version or 0) != cache_schemes.version(model):
schemes = cache_schemes.load_schemes(model)
else:
break
def invalidate_obj(obj):
"""
Invalidates caches that can possibly be influenced by object
"""
model = non_proxy(obj.__class__)
# Loading model schemes from local memory (or from redis)
schemes = cache_schemes.schemes(model)
# We hope that our schemes are valid, but if not we will update them and redo invalidation
# on second pass
for _ in (1, 2):
# Create a list of invalidators from list of schemes and values of object fields
conjs_keys = [conj_cache_key_from_scheme(model, scheme, obj) for scheme in schemes]
# Reading scheme version, cache_keys and deleting invalidators in
# a single transaction.
def _invalidate_conjs(pipe):
# get schemes version to check later that it's not obsolete
pipe.get(cache_schemes.get_version_key(model))
# Get a union of all cache keys registered in invalidators
pipe.sunion(conjs_keys)
# `conjs_keys` are keys of sets containing `cache_keys` we are going to delete,
# so we'll remove them too.
# NOTE: There could be some other invalidators not matched with current object,
# which reference cache keys we delete, they will be hanging out for a while.
pipe.delete(*conjs_keys)
# NOTE: we delete fetched cache_keys later which makes a tiny possibility that something
# will fail in the middle leaving those cache keys hanging without invalidators.
# The alternative WATCH-based optimistic locking proved to be pessimistic.
version, cache_keys, _ = redis_client.transaction(_invalidate_conjs)
if cache_keys:
redis_client.delete(*cache_keys)
# OK, we invalidated all conjunctions we had in memory, but model schema
# may have been changed in redis long time ago. If this happened,
# schema version will not match and we should load new schemes and redo our thing
if int(version or 0) != cache_schemes.version(model):
schemes = cache_schemes.load_schemes(model)
else:
break
def cache_thing(model, cache_key, data, cond_dnf=[[]], timeout=None):
u"""
По факту - скопированный метод cache_thing из кешопса
с двумя изменениями:
- просто функция, а не метод объекта
- убрана сериализация data с помощью pickle.dumps
"""
model = non_proxy(model)
if timeout is None:
profile = model_profile(model)
timeout = profile['timeout']
# Ensure that all schemes of current query are "known"
schemes = map(conj_scheme, cond_dnf)
cache_schemes.ensure_known(model, schemes)
txn = redis_client.pipeline()
# Write data to cache
if timeout is not None:
txn.setex(cache_key, timeout, data)
else:
txn.set(cache_key, data)
# Add new cache_key to list of dependencies for
# every conjunction in dnf
for conj in cond_dnf:
conj_key = conj_cache_key(model, conj)
txn.sadd(conj_key, cache_key)
if timeout is not None:
# Invalidator timeout should be larger than
# timeout of any key it references
# So we take timeout from profile which is our upper limit
# Add few extra seconds to be extra safe
txn.expire(conj_key, model._cacheprofile['timeout'] + 10)
txn.execute()
def cache_thing(model, cache_key, data, cond_dnf=[[]], timeout=None):
"""
Writes data to cache and creates appropriate invalidators.
"""
model = non_proxy(model)
if timeout is None:
profile = model_profile(model)
timeout = profile['timeout']
pickled_data = pickle.dumps(data, -1)
load_script('cache_thing')(
keys=[cache_key],
args=[
pickled_data,
get_model_name(model),
json.dumps(cond_dnf, default=str),
timeout,
# Invalidator timeout should be larger than timeout of any key it references
# So we take timeout from profile which is our upper limit
# Add few extra seconds to be extra safe
model._cacheprofile['timeout'] + 10
]
)
def invalidate_obj(obj):
"""
Invalidates caches that can possibly be influenced by object
"""
invalidate_from_dict(non_proxy(obj.__class__), obj.__dict__)
