Home >Backend Development >PHP Tutorial >PHP-level Performance Optimization with Blackfire

PHP-level Performance Optimization with Blackfire

Joseph Gordon-Levitt
Joseph Gordon-LevittOriginal
2025-02-08 08:59:10804browse

Blackfire: Pinpointing and Fixing Performance Bottlenecks in Your Homestead Improved Applications

PHP-level Performance Optimization with Blackfire

Key Insights:

  • Blackfire is a powerful tool for identifying and resolving performance bottlenecks in applications, especially those built with Homestead Improved.
  • Understanding Blackfire's graphs (Reference Profile, Exclusive Time, Inclusive Time, Hot Paths) is crucial for pinpointing performance drains – be it excessive memory usage, CPU time, or overall activity.
  • This article showcases Blackfire's application in optimizing a multi-image gallery blog. It highlights the identification of bottlenecks (e.g., PDOExecute) and the implementation of solutions (e.g., pagination) to boost performance.
  • Continuous performance testing with Blackfire is vital throughout the application's lifecycle. Integrating these tests into your CI/CD pipeline (a feature offered by Blackfire's premium plan) significantly enhances efficiency.

(This article is part of a series on building a sample multi-image gallery blog application for performance benchmarking and optimization. Access the repository here.)

This post builds upon previous introductions to Blackfire, demonstrating its practical application in identifying and resolving performance issues. We'll use it to analyze our sample project, targeting areas for immediate improvement. If you're using Homestead Improved (which is recommended), Blackfire should already be set up. No prior Blackfire knowledge is needed.

Understanding Blackfire Metrics:

Before we begin, let's define key terms used in Blackfire's performance graphs:

  • Reference Profile: The initial performance baseline of your application. Subsequent profiles are compared against this baseline to measure improvements.
  • Exclusive Time: The time spent solely within a specific function/method, excluding time spent in its called functions.
  • Inclusive Time: The total time spent executing a function, including the time spent in all its called functions.
  • Hot Paths: The most active parts of your application during profiling, often indicating areas of high resource consumption (memory or CPU).

Setting Up Blackfire:

  1. Create a Blackfire account. Your account page provides the tokens and IDs needed to configure Homestead.yaml. The file contains placeholders at the bottom:
<code class="language-yaml"># blackfire:
#     - id: foo
#       token: bar
#       client-id: foo
#       client-token: bar</code>

Uncomment these lines and replace the placeholder values with your account details.

  1. Install the Blackfire Chrome extension. This extension is primarily used for manual profiling, which is common in most scenarios. Other integrations are available (see the full list here).

Optimizing with Blackfire: A Case Study

We'll benchmark the homepage – a critical page for any website. Slow loading times here directly impact user experience and bounce rates. While other pages (e.g., image upload) could be tested, read performance is generally prioritized over write performance.

Our initial app loads and sorts all galleries by age. To profile, open the homepage, click the Blackfire extension button, and select "Profile!".

Initial Profile Results:

The graph reveals that PDOExecute consumes 100% of the inclusive time (dark pink section), indicating it's the primary bottleneck. While other methods might show larger light pink bars (inclusive time), these represent the cumulative time of their dependent functions. The dark pink sections represent the functions needing immediate attention.

Switching to RAM mode shows that Twig rendering consumes the majority (approximately 40MB) of the RAM. This is expected given the large amount of data being rendered.

PHP-level Performance Optimization with Blackfire

Hot paths (thick borders) clearly highlight the bottlenecks. Intensive nodes (nodes with high time spent) can also indicate problems, even if not directly part of the hot path.

Analysis reveals that PDOExecute and unserialize (high RAM usage) are caused by loading all galleries on the homepage. The solution: implement pagination.

Implementing Pagination:

  1. Add a PER_PAGE constant to HomeController, setting it to a value like 12.

  2. Modify the gallery fetching procedure to use pagination:

<code class="language-yaml"># blackfire:
#     - id: foo
#       token: bar
#       client-id: foo
#       client-token: bar</code>
  1. Add JavaScript to the home view for lazy loading:
<code class="language-php">$galleries = $this->em->getRepository(Gallery::class)->findBy([], ['createdAt' => 'DESC'], self::PER_PAGE);</code>
  1. Add a new method to HomeController for lazy loading galleries:
<code class="language-html+php">{% block javascripts %}
    {{ parent() }}

    
{% endblock %}</code>

Performance Comparison:

Re-running the profiler after implementing pagination yields significant improvements:

Memory usage is reduced tenfold, and loading is almost instantaneous. The new bottleneck is DebugClass, a consequence of the development environment. Switching to production mode further improves performance:

Conclusion:

The application's performance is dramatically improved, with page load times down to 58ms. Further optimizations are minimal. Regular performance testing with Blackfire is crucial, and integrating it into your CI/CD pipeline (available with Blackfire's premium plan) is highly recommended.

Frequently Asked Questions (FAQ) on PHP Performance Optimization:

The provided FAQ section remains largely unchanged, as it offers valuable information relevant to PHP performance optimization in general. It accurately covers topics such as monitoring tools, common issues, optimization techniques, scalability, and best practices.

The above is the detailed content of PHP-level Performance Optimization with Blackfire. For more information, please follow other related articles on the PHP Chinese website!

Statement:
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn