详解Python字典查找性能

时间：2022-09-19 09:28:54|栏目：Python代码|点击：次

timeit.repeat

timeit.repeat默认会执行3轮，每轮执行1000000次。返回每轮的总执行时间列表

字典获取性能

大家都知道字典获取分为

中括号获取，获取不到会抛出KeyError

get获取，获取不到会返回默认值

下面比较两种获取方式的性能

数据准备

一条简单一条复杂

# logging标准库的level字典
level_mapping = {'CRITICAL': 50, 'FATAL': 50, 'ERROR': 40, 'WARN': 30, 'WARNING': 30, 'INFO': 20, 'DEBUG': 10, 'NOTSET': 0}
# elasticsearch日志
record = {'_index': 'logstash-project.test-env.release-user.root-2021', '_type': 'doc', '_id': '2f60jn0BaH-cdSPUSkiF', '_version': 1, '_score': None, '_source': {'method': 'GET', 'index_name': 'project.test-env.release-user.root', '@version': 'flask', 'path': 'D:\\alpha\\flask\\logstash\\core\\flask.py', 'logger_name': 'flask.exception', 'stack_info': None, 'user': 'root', '@timestamp': '2021-12-06T07:45:20.056Z', 'level': 'ERROR', 'thread_name': 'Thread-5', 'type': 'exception', 'env': 'release', 'process': 8716, 'funcName': 'exceptions', 'port': 55792, 'project': 'test', 'tags': [], 'lineno': 89, 'request': {'headers': {'Accept-Encoding': 'gzip, deflate, br', 'Connection': 'keep-alive', 'Postman-Token': '359faa6e-9527-4de7-82ff-eecb92656875', 'User-Agent': 'PostmanRuntime/7.28.4', 'Cookie': 'csrftoken=bf58fmaG5wBVabJwBeD8srVsfw7EjKe0VN7xD8mu817UzVm', 'Accept': '*/*', 'Host': '127.0.0.1:5000'}, 'args': {'a': '11', 'b': '22'}}, 'message': 'division by zero', 'host': 'DESKTOP-JCQ9527', 'status_code': 500, 'stack_trace': 'Traceback (most recent call last):\n  File "D:\\Envs\\logstash\\lib\\site-packages\\flask\\app.py", line 1950, in full_dispatch_request\n    rv = self.dispatch_request()\n  File "D:\\Envs\\logstash\\lib\\site-packages\\flask\\app.py", line 1936, in dispatch_request\n    return self.view_functions[rule.endpoint](**req.view_args)\n  File "D:\\flask\\logstash\\app.py", line 112, in get_raise\n    a/0\nZeroDivisionError: division by zero\n', 'remote_addr': '127.0.0.1', 'url': 'http://127.0.0.1:5000/raise?a=11&b=22'}, 'fields': {'@timestamp': ['2021-12-06T07:45:20.056Z']}, 'sort': [1638776720056]}

def test():
    level_mapping['CRITICAL']
timeit.repeat(lambda: test())
[0.08700739999994767, 0.0864886999997907, 0.08675769999990735]
# 中括号加try except
def test1():
    try:
        level_mapping['CRITICA']
    except:
        pass
timeit.repeat(lambda: test1())
[0.09164779999991879, 0.0921809999999823, 0.09076550000099814]  # key存在
[0.17694680000022345, 0.1759290999998484, 0.17659119999916584]  # key不存在
def test2():
    level_mapping.get('CRITICAL') 
timeit.repeat(lambda: test2())
[0.131671400000414, 0.12985489999982747, 0.13035420000005615]

中括号获取比get方式快了50%左右；

但当使用中括号加try except，key不存在时要慢近一倍；

使用get时key存不存在设不设默认值都一样。

复杂获取

def test3():
    level_mapping[record['_source']['level']]
timeit.repeat(lambda: test3())
[0.1141027999999551, 0.11351319999994303, 0.11431539999989582]
def test4():
    level_mapping.get(record.get('_source').get('level'))
timeit.repeat(lambda: test4())
[0.22142400000007, 0.21937850000017534, 0.21913369999992938]

随着数据的复杂嵌套和链式操作，这次快了整整一倍。