本文整理匯總了Python中pymemcache.client.hash.HashClient.gets_many方法的典型用法代碼示例。如果您正苦於以下問題：Python HashClient.gets_many方法的具體用法？Python HashClient.gets_many怎麽用？Python HashClient.gets_many使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類pymemcache.client.hash.HashClient的用法示例。
在下文中一共展示了HashClient.gets_many方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: CouchbaseMemcacheMirror
# 需要導入模塊: from pymemcache.client.hash import HashClient [as 別名]
# 或者: from pymemcache.client.hash.HashClient import gets_many [as 別名]
#.........這裏部分代碼省略.........
ok = self.mc.get_many(keys)
if len(ok) < len(keys) and try_alternate:
keys_err = set(keys) - set(ok)
ok.update(self._cb_mget(list(keys_err))[0])
return ok
def gets(self, key):
"""
Get an item with its CAS. The item will always be fetched from the primary
data store.
:param key: the key to get
:return: the value of the key, or None if no such value
"""
if self._primary == PRIMARY_COUCHBASE:
try:
rv = self.cb.get(key)
return key, rv.cas
except NotFoundError:
return None, None
else:
return self.mc.gets(key)
def gets_multi(self, keys):
if self._primary == PRIMARY_COUCHBASE:
try:
rvs = self.cb.get_multi(keys)
except NotFoundError as e:
rvs, _ = e.split_results()
return {k: (v.value, v.cas) for k, v in rvs}
else:
# TODO: I'm not sure if this is implemented in HasClient :(
return self.mc.gets_many(keys)
def delete(self, key):
st = Status()
try:
self.cb.remove(key)
except NotFoundError as e:
st.cb_error = e
st.mc_status = self.mc.delete(key)
return st
def delete_multi(self, keys):
st = Status()
try:
self.cb.remove_multi(keys)
except NotFoundError as e:
st.cb_error = e
st.mc_status = self.mc.delete_many(keys)
def _do_incrdecr(self, key, value, is_incr):
cb_value = value if is_incr else -value
mc_meth = self.mc.incr if is_incr else self.mc.decr
st = Status()
try:
self.cb.counter(key, delta=cb_value)
except NotFoundError as e:
st.cb_error = e
st.mc_status = mc_meth(key, value)
def incr(self, key, value):開發者ID:couchbaselabs，項目名稱:sk-python-couchbase-memcache-mirror，代碼行數:70，代碼來源:couchbase_memcache_mirror.py