#使用caches['CACHE配置key']导入具体对象 fromdjango.core.cacheimportcaches cache1 = caches['myalias'] cache2 = caches['myalias_2'] #方式2: fromdjango.core.cacheimportcache#相当于直接引入CACHES配置项中的'defalult'-(setting.py中的CACHES配置项)项 ...
request._cache_update_cache =FalsereturnNone# Don't bother checking the cache.# try and get the cached GET response# 这里会根据请求的信息、缓存键前缀生成一个cache_key。默认情况下,访问同一个接口其cache_key应该相同cache_key = get_cache_key(request, self.key_prefix,'GET', cache=self.cache)...
>>>cache.get('name')>>>cache.get('name','has expired')'has expired' cache.add(key, value, timeout=DEFAULT_TIMEOUT, version=None) 与cache.set类似,只是当add的key不存在时,则新建key,存在则不做任何操作 代码语言:javascript 代码运行次数:0 运行 AI代码解释 >>>cache.add('site','https://b...
cache.set(key, value, timeout)-存储缓存 1. key:缓存的key,字符串类型 value:Python对象 timeout:缓存存储时间(s),默认为QACHES中的TIMEOUT值 返回值: None cache.get(key)- 获取缓存 1. key:缓存的key 返回值:为key的具体值,如果没有数据,则返回None cache.add(key, value)-存储缓存,只在key不存在...
throttling import SimpleRateThrottle class MyThrottle(SimpleRateThrottle): scope = 'luffy' def get_cache_key(self, request, view): return self.get_ident(request) 在settings里配置:(一分钟访问三次) 代码语言:javascript 代码运行次数:0 运行 AI代码解释 REST_FRAMEWORK = { 'DEFAULT_THROTTLE_RATES':{...
CACHE_MIDDLEWARE_KEY_PREFIX一个字符串，该字符串将作为由缓存中间件生成的缓存键的前缀，该前缀与KEY_...
在命令行中输入python manage.py createcachetable Tab_name(自定义表明) 修改settings配置 CACHES = { 'default': { 'BACKEND': 'django.core.cache.backends.db.DatabaseCache',#申明使用数据库进行缓存 'LOCATION': 'cache_table' #放缓存的表
def _get_count(self): return 100000000 如果你说,我要稍微真实一点的数据,可以么 方案2: 用定时缓存 count 值 那么方案 2 就更加合适一些了 def _get_count(self): key = "stock5min" count = cache.get(key) if not count: count = do_count() ...
Cacheops also provides get/set primitives for simple cache: from cacheops import cache cache.set(cache_key, data, timeout=None) cache.get(cache_key) cache.delete(cache_key) cache.get will raise CacheMiss if nothing is stored for given key: from cacheops import cache, CacheMiss try: result...
In [source:django/trunk/django/core/cache/backends/base.py django.core.cache.backends.base.BaseCache], has_key() is defined as a method, while __contains__ is simply an alias for it. Individual backends override has_key() to be more efficient, but __contains__ is left alone, so it...