perfetto有中文教程吗

是的，有中文教程。 Perfetto 是一款基于 Linux 系统的性能分析工具，可以帮助开发人员诊断和优化应用程序的性能问题。以下是一些中文教程链接：

1. Perfetto 官方文档中文版：https://www.bookstack.cn/read/perfetto-docs-zh/README.md
2. Perfetto 中文教程：https://www.jianshu.com/p/6d8d1d4383d6
3. Perfetto：一个 Linux 下的 Tracing 工具：https://zhuanlan.zhihu.com/p/143214190

希望这些链接能对你有所帮助！

相关问题

perfetto的python api有什么用

Perfetto是一个Linux系统跟踪工具，允许用户对系统进行详细的跟踪和分析。它提供了一个Python API，让开发人员能够以编程方式控制和查询跟踪会话。

使用Perfetto的Python API，您可以：

1. 开始、停止和控制跟踪会话。
2. 访问跟踪数据，包括CPU使用率、内存使用率、I/O操作和网络传输等。
3. 分析和可视化跟踪数据，以识别性能问题和瓶颈。
4. 集成Perfetto跟踪数据到您的应用程序或工具中，以帮助您更好地理解和优化您的代码。

总之，Perfetto的Python API可以帮助您更深入地了解Linux系统的性能和行为，并且帮助您提高您的应用程序的性能和可靠性。

perfetto UI

### Perfetto UI Introduction and Usage

Perfetto is an open-source performance tracing platform designed to provide detailed insights into system operations on Android devices as well as other systems that support this tool. The Perfetto user interface (UI), accessible via a web-based application, serves as a powerful visualization tool for analyzing trace data collected by the Perfetto tracer.

The Perfetto UI allows users to load traces either directly from connected devices or through uploading pre-recorded trace files. Once loaded, various aspects of device performance can be explored including CPU scheduling, memory allocation, disk I/O activity such as those obtained using `storaged` command with `-u` option[^1], network traffic, and more.

For interacting effectively within the Perfetto UI:

- **Navigating Traces:** Users may zoom in/out along timelines; pan across different sections of interest.

- **Inspecting Events:** Clickable events display additional metadata about specific occurrences during execution periods.

- **Filtering Data:** Filters help narrow down displayed information based upon event types, processes involved, etc., making it easier to focus analysis efforts where needed most.

An example Python script demonstrating how one might interact programmatically with Perfetto's capabilities could look like below but note actual implementation would depend heavily on intended use case specifics beyond simple interaction patterns shown here:

import subprocess

def start_trace():
    """Starts a perfetto trace session."""
    cmd = ["perfetto", "-c", "config.txt"]
    process = subprocess.Popen(cmd)
    
def stop_and_pull_trace(file_path):
    """Stops current perfetto trace and pulls generated file."""
    pull_cmd = f"adb shell ls /data/misc/perfetto-traces/*.trace > {file_path}"
    subprocess.run(pull_cmd, shell=True)

start_trace()
# ... perform actions you want to profile ...
stop_and_pull_trace("/path/to/local/file.trace")

--related questions--

1. How does one configure custom metrics collection when setting up Perfetto?
2. What are some common pitfalls encountered while interpreting results inside the Perfetto UI?
3. Can multiple instances of Perfetto tracers run simultaneously without interfering each other?
4. Is there any way to automate periodic capturing of performance snapshots over extended durations using Perfetto scripts?