pprof is a tool for visualization and analysis of profiling data.
pprof reads a collection of profiling samples in profile.proto format and generates reports to visualize and help analyze the data. It can generate both text and graphical reports (through the use of the dot visualization package).
profile.proto is a protocol buffer that describes a set of callstacks and symbolization information. A common usage is to represent a set of sampled callstacks from statistical profiling. The format is described on the proto/profile.proto file. For details on protocol buffers, see https://developers.google.com/protocol-buffers
Profiles can be read from a local file, or over http. Multiple profiles of the same type can be aggregated or compared.
If the profile samples contain machine addresses, pprof can symbolize them through the use of the native binutils tools (addr2line and nm).
想要进行性能优化，首先瞩目在 Go 自身提供的工具链来作为分析依据，本文将带你学习、使用 Go 后花园，涉及如下：
>>> import datetime
>>> datetime.datetime.today() # 不包含时区信息的当前时间（Naive time）
datetime.datetime(2020, 8, 9, 17, 36, 6, 921616)
>>> datetime.datetime.now() # 不包含时区信息的当前时间（当不传入 tz 参数时，和datetime.today()没有区别）
datetime.datetime(2019, 10, 19, 10, 23, 38, 117425)
>>> import time
>>> time.time() # 获取当前时间对应 Unix time 时间戳（Naive time），这意味着，即使修改电脑的时区，获取的这个值也不会变化（因为 Unix time 是绝对时间，即在同一个时刻，在不同时区获取到的 Unix time 也是完全一样的）
1596965822.509548
From https://docs.python.org/3/library/time.html#time.time
...# macOS
$ brew install hugo
# Ubuntu
$ sudo apt-get install hugo
Refer to https://gohugo.io/getting-started/quick-start/.
创建新站点
# 创建新站点
$ hugo new site "$mysite"
