[clang] [analyzer][docs] Document how to use perf and uftrace to debug performance issues (PR #126724)

Balazs Benics via cfe-commits cfe-commits at lists.llvm.org
Tue Feb 11 09:32:42 PST 2025


https://github.com/steakhal updated https://github.com/llvm/llvm-project/pull/126724

>From 94f0b3cf6b80c0a00e31087ae6d8db64185777f0 Mon Sep 17 00:00:00 2001
From: Balazs Benics <benicsbalazs at gmail.com>
Date: Mon, 10 Feb 2025 15:12:46 +0100
Subject: [PATCH 01/12] [analyzer][docs] Document how to use perf and uftrace
 to debug performance issues

---
 .../PerformanceInvestigation.rst              |    91 +
 clang/docs/analyzer/images/flamegraph.svg     | 27641 ++++++++++++++++
 .../docs/analyzer/images/uftrace_detailed.png |   Bin 0 -> 118485 bytes
 3 files changed, 27732 insertions(+)
 create mode 100644 clang/docs/analyzer/images/flamegraph.svg
 create mode 100644 clang/docs/analyzer/images/uftrace_detailed.png

diff --git a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
index 3ee6e117a8465..c33853aca7616 100644
--- a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
+++ b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
@@ -5,6 +5,9 @@ Performance Investigation
 Multiple factors contribute to the time it takes to analyze a file with Clang Static Analyzer.
 A translation unit contains multiple entry points, each of which take multiple steps to analyze.
 
+Performance analysis using ``-ftime-trace``
+===========================================
+
 You can add the ``-ftime-trace=file.json`` option to break down the analysis time into individual entry points and steps within each entry point.
 You can explore the generated JSON file in a Chromium browser using the ``chrome://tracing`` URL,
 or using `speedscope <https://speedscope.app>`_.
@@ -45,3 +48,91 @@ Note: Both Chrome-tracing and speedscope tools might struggle with time traces a
 Luckily, in most cases the default max-steps boundary of 225 000 produces the traces of approximately that size
 for a single entry point.
 You can use ``-analyze-function=get_global_options`` together with ``-ftime-trace`` to narrow down analysis to a specific entry point.
+
+
+Performance analysis using ``perf``
+===================================
+
+`Perf <https://perfwiki.github.io/main/>`_ is an excellent tool for sampling-based profiling of an application.
+It's easy to start profiling, you only have 2 prerequisites.
+Build with ``-fno-omit-frame-pointer`` and debug info (``-g``).
+You can use release builds, but probably the easiest is to set the ``CMAKE_BUILD_TYPE=RelWithDebInfo``
+along with ``CMAKE_CXX_FLAGS="-fno-omit-frame-pointer"`` when configuring ``llvm``.
+Here is how to `get started <https://llvm.org/docs/CMake.html#quick-start>`_ if you are in trouble.
+
+.. code-block:: bash
+   :caption: Running the Clang Static Analyzer through ``perf`` to gather samples of the execution.
+
+   # -F: Sampling frequency, use `-F max` for maximal frequency
+   # -g: Enable call-graph recording for both kernel and user space
+   perf record -F 99 -g --  clang -cc1 -nostdsysteminc -analyze -analyzer-constraints=range \
+         -setup-static-analyzer -analyzer-checker=core,unix,alpha.unix.cstring,debug.ExprInspection \
+         -verify ./clang/test/Analysis/string.c
+
+Once you have the profile data, you can use it to produce a Flame graph.
+A Flame graph is a visual representation of the stack frames of the samples.
+Common stack frame prefixes are squashed together, making up a wider bar.
+The wider the bar, the more time was spent under that particular stack frame,
+giving a sense of how the overall execution time was spent.
+
+Clone the `FlameGraph <https://github.com/brendangregg/FlameGraph>`_ git repository,
+as we will use some scripts from there to convert the ``perf`` samples into a Flame graph.
+It's also useful to check out Brendan Gregg's (the author of FlameGraph)
+`homepage <https://www.brendangregg.com/FlameGraphs/cpuflamegraphs.html>`_.
+
+
+.. code-block:: bash
+   :caption: Converting the ``perf`` profile into a Flamegraph, then opening it in Firefox.
+
+   perf script | /path/to/FlameGraph/stackcollapse-perf.pl > perf.folded
+   /path/to/FlameGraph/flamegraph.pl perf.folded  > perf.svg
+   firefox perf.svg
+
+.. image:: ../images/flamegraph.svg
+
+
+Performance analysis using ``uftrace``
+======================================
+
+`uftrace <https://github.com/namhyung/uftrace/wiki/Tutorial#getting-started>`_ is a great tool to generate rich profile data
+that you could use to focus and drill down into the timeline of your application.
+We will use it to generate Chromium trace JSON.
+In contrast to ``perf``, this approach statically instruments every function, so it should be more precise and through than the sampling-based approaches like ``perf``.
+In contrast to using `-ftime-trace`, functions don't need to opt-in to be profiled using ``llvm::TimeTraceScope``.
+All functions are profiled due to static instrumentation.
+
+There is only one prerequisite to use this tool.
+You need to build the binary you are about to instrument using ``-pg`` or ``-finstrument-functions``.
+This will make it run substantially slower but allows rich instrumentation.
+
+.. code-block:: bash
+   :caption: Recording with ``uftrace``, then dumping the result as a Chrome trace JSON.
+
+   uftrace record clang -cc1 -nostdsysteminc -analyze -analyzer-constraints=range \
+         -setup-static-analyzer -analyzer-checker=core,unix,alpha.unix.cstring,debug.ExprInspection \
+         -verify ./clang/test/Analysis/string.c
+   uftrace dump --filter=".*::AnalysisConsumer::HandleTranslationUnit" --time-filter=300 --chrome > trace.json
+
+.. image:: ../images/uftrace_detailed.png
+
+In this picture, you can see the functions below the Static Analyzer's entry point, which takes at least 300 nanoseconds to run, visualized by Chrome's ``about:tracing`` page
+You can also see how deep function calls we may have due to AST visitors.
+
+Using different filters can reduce the number of functions to record.
+For the `common options <https://github.com/namhyung/uftrace/blob/master/doc/uftrace-record.md#common-options>`_, refer to the ``uftrace`` documentation.
+
+Similar filters could be applied for dumping too. That way you can reuse the same (detailed)
+recording to selectively focus on some special part using a refinement of the filter flags.
+Remember, the trace JSON needs to fit into Chrome's ``about:tracing`` or `speedscope <https://speedscope.app>`_,
+thus it needs to be of a limited size.
+In that case though, every dump operation would need to sieve through the whole recording if called repeatedly.
+
+If the trace JSON is still too large to load, have a look at the dump and look for frequent entries that refer to non-interesting parts.
+Once you have some of those, add them as ``--hide`` flags to the ``uftrace dump`` call.
+To see what functions appear frequently in the trace, use this command:
+
+.. code-block:: bash
+
+   cat trace.json | grep -Po '"name":"(.+)"' | sort | uniq -c | sort -nr | head -n 50
+
+``uftrace`` can also dump the report as a Flame graph using ``uftrace dump --framegraph``.
diff --git a/clang/docs/analyzer/images/flamegraph.svg b/clang/docs/analyzer/images/flamegraph.svg
new file mode 100644
index 0000000000000..d3c4a22c9ff53
--- /dev/null
+++ b/clang/docs/analyzer/images/flamegraph.svg
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>From cd8e88fd97816520bd2cfa20f858622ed3eb0894 Mon Sep 17 00:00:00 2001
From: Balazs Benics <benicsbalazs at gmail.com>
Date: Tue, 11 Feb 2025 13:21:48 +0100
Subject: [PATCH 02/12] Reduce the quality of the images, harmonize using png
 format

---
 clang/docs/analyzer/images/flamegraph.png     |   Bin 0 -> 74351 bytes
 clang/docs/analyzer/images/flamegraph.svg     | 27641 ----------------
 .../docs/analyzer/images/uftrace_detailed.png |   Bin 118485 -> 60862 bytes
 3 files changed, 27641 deletions(-)
 create mode 100644 clang/docs/analyzer/images/flamegraph.png
 delete mode 100644 clang/docs/analyzer/images/flamegraph.svg

diff --git a/clang/docs/analyzer/images/flamegraph.png b/clang/docs/analyzer/images/flamegraph.png
new file mode 100644
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diff --git a/clang/docs/analyzer/images/flamegraph.svg b/clang/docs/analyzer/images/flamegraph.svg
deleted file mode 100644
index d3c4a22c9ff53..0000000000000
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-<title>[unknown] (69,901 samples, 0.05%)</title><rect x="29.2" y="677" width="0.6" height="15.0" fill="rgb(210,24,5)" rx="2" ry="2" />
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-<title>[unknown] (65,957 samples, 0.04%)</title><rect x="1189.3" y="709" width="0.5" height="15.0" fill="rgb(210,24,5)" rx="2" ry="2" />
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-<title>[unknown] (70,479 samples, 0.05%)</title><rect x="37.4" y="789" width="0.6" height="15.0" fill="rgb(210,24,5)" rx="2" ry="2" />
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-<title>[unknown] (69,237 samples, 0.05%)</title><rect x="183.3" y="709" width="0.5" height="15.0" fill="rgb(210,24,5)" rx="2" ry="2" />
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-<title>[unknown] (68,343 samples, 0.04%)</title><rect x="1144.6" y="453" width="0.5" height="15.0" fill="rgb(210,24,5)" rx="2" ry="2" />
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-<title>[unknown] (398,664 samples, 0.26%)</title><rect x="988.2" y="485" width="3.1" height="15.0" fill="rgb(210,24,5)" rx="2" ry="2" />
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diff --git a/clang/docs/analyzer/images/uftrace_detailed.png b/clang/docs/analyzer/images/uftrace_detailed.png
index 2357b0bc828e824301fe224842f46a98a2a3d242..fcf681909d07068a05f5cace5eb75ab1d338226f 100644
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>From 169664cdd927c54e0a553efe2f280ed58c3bf6b2 Mon Sep 17 00:00:00 2001
From: Balazs Benics <benicsbalazs at gmail.com>
Date: Tue, 11 Feb 2025 13:30:01 +0100
Subject: [PATCH 03/12] Simplify and harmonize clang invocations in the docs

---
 .../developer-docs/PerformanceInvestigation.rst   | 15 ++++++---------
 1 file changed, 6 insertions(+), 9 deletions(-)

diff --git a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
index c33853aca7616..dd746cce2e027 100644
--- a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
+++ b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
@@ -22,9 +22,8 @@ Here is an example of a time trace produced with
 .. code-block:: bash
    :caption: Clang Static Analyzer invocation to generate a time trace of string.c analysis.
 
-   clang -cc1 -nostdsysteminc -analyze -analyzer-constraints=range \
-         -setup-static-analyzer -analyzer-checker=core,unix,alpha.unix.cstring,debug.ExprInspection \
-         -verify ./clang/test/Analysis/string.c \
+   clang -cc1 -analyze -verify clang/test/Analysis/string.c \
+         -analyzer-checker=core,unix,alpha.unix.cstring,debug.ExprInspection \
          -ftime-trace=trace.json -ftime-trace-granularity=1
 
 .. image:: ../images/speedscope.png
@@ -65,9 +64,8 @@ Here is how to `get started <https://llvm.org/docs/CMake.html#quick-start>`_ if
 
    # -F: Sampling frequency, use `-F max` for maximal frequency
    # -g: Enable call-graph recording for both kernel and user space
-   perf record -F 99 -g --  clang -cc1 -nostdsysteminc -analyze -analyzer-constraints=range \
-         -setup-static-analyzer -analyzer-checker=core,unix,alpha.unix.cstring,debug.ExprInspection \
-         -verify ./clang/test/Analysis/string.c
+   perf record -F 99 -g --  clang -cc1 -analyze -verify clang/test/Analysis/string.c \
+         -analyzer-checker=core,unix,alpha.unix.cstring,debug.ExprInspection
 
 Once you have the profile data, you can use it to produce a Flame graph.
 A Flame graph is a visual representation of the stack frames of the samples.
@@ -108,9 +106,8 @@ This will make it run substantially slower but allows rich instrumentation.
 .. code-block:: bash
    :caption: Recording with ``uftrace``, then dumping the result as a Chrome trace JSON.
 
-   uftrace record clang -cc1 -nostdsysteminc -analyze -analyzer-constraints=range \
-         -setup-static-analyzer -analyzer-checker=core,unix,alpha.unix.cstring,debug.ExprInspection \
-         -verify ./clang/test/Analysis/string.c
+   uftrace record  clang -cc1 -analyze -verify clang/test/Analysis/string.c \
+         -analyzer-checker=core,unix,alpha.unix.cstring,debug.ExprInspection
    uftrace dump --filter=".*::AnalysisConsumer::HandleTranslationUnit" --time-filter=300 --chrome > trace.json
 
 .. image:: ../images/uftrace_detailed.png

>From aa5a2855ab041f57c0fe96870fa596970936681e Mon Sep 17 00:00:00 2001
From: Balazs Benics <benicsbalazs at gmail.com>
Date: Tue, 11 Feb 2025 13:32:53 +0100
Subject: [PATCH 04/12] Rephrase the Perf introduction

---
 clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
index dd746cce2e027..986aabef6e971 100644
--- a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
+++ b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
@@ -52,7 +52,7 @@ You can use ``-analyze-function=get_global_options`` together with ``-ftime-trac
 Performance analysis using ``perf``
 ===================================
 
-`Perf <https://perfwiki.github.io/main/>`_ is an excellent tool for sampling-based profiling of an application.
+`Perf <https://perfwiki.github.io/main/>`_ is a tool for conducting sampling-based profiling.
 It's easy to start profiling, you only have 2 prerequisites.
 Build with ``-fno-omit-frame-pointer`` and debug info (``-g``).
 You can use release builds, but probably the easiest is to set the ``CMAKE_BUILD_TYPE=RelWithDebInfo``

>From 1b105e02737968077e645acffb4165619b4bf1ee Mon Sep 17 00:00:00 2001
From: Balazs Benics <benicsbalazs at gmail.com>
Date: Tue, 11 Feb 2025 13:34:20 +0100
Subject: [PATCH 05/12] s/could/can substitution

---
 .../docs/analyzer/developer-docs/PerformanceInvestigation.rst | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
index 986aabef6e971..0a578e274ed12 100644
--- a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
+++ b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
@@ -93,7 +93,7 @@ Performance analysis using ``uftrace``
 ======================================
 
 `uftrace <https://github.com/namhyung/uftrace/wiki/Tutorial#getting-started>`_ is a great tool to generate rich profile data
-that you could use to focus and drill down into the timeline of your application.
+that you can use to focus and drill down into the timeline of your application.
 We will use it to generate Chromium trace JSON.
 In contrast to ``perf``, this approach statically instruments every function, so it should be more precise and through than the sampling-based approaches like ``perf``.
 In contrast to using `-ftime-trace`, functions don't need to opt-in to be profiled using ``llvm::TimeTraceScope``.
@@ -118,7 +118,7 @@ You can also see how deep function calls we may have due to AST visitors.
 Using different filters can reduce the number of functions to record.
 For the `common options <https://github.com/namhyung/uftrace/blob/master/doc/uftrace-record.md#common-options>`_, refer to the ``uftrace`` documentation.
 
-Similar filters could be applied for dumping too. That way you can reuse the same (detailed)
+Similar filters can be applied for dumping too. That way you can reuse the same (detailed)
 recording to selectively focus on some special part using a refinement of the filter flags.
 Remember, the trace JSON needs to fit into Chrome's ``about:tracing`` or `speedscope <https://speedscope.app>`_,
 thus it needs to be of a limited size.

>From 3b2d3231eb29dddf8f024c6dee0f5d8ce1b1d261 Mon Sep 17 00:00:00 2001
From: Balazs Benics <benicsbalazs at gmail.com>
Date: Tue, 11 Feb 2025 13:36:23 +0100
Subject: [PATCH 06/12] Fix through -> thorough typo

---
 clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
index 0a578e274ed12..886a8d83a8ac9 100644
--- a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
+++ b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
@@ -95,7 +95,7 @@ Performance analysis using ``uftrace``
 `uftrace <https://github.com/namhyung/uftrace/wiki/Tutorial#getting-started>`_ is a great tool to generate rich profile data
 that you can use to focus and drill down into the timeline of your application.
 We will use it to generate Chromium trace JSON.
-In contrast to ``perf``, this approach statically instruments every function, so it should be more precise and through than the sampling-based approaches like ``perf``.
+In contrast to ``perf``, this approach statically instruments every function, so it should be more precise and thorough than the sampling-based approaches like ``perf``.
 In contrast to using `-ftime-trace`, functions don't need to opt-in to be profiled using ``llvm::TimeTraceScope``.
 All functions are profiled due to static instrumentation.
 

>From 7a76bd5a824507abd6ffbc2b9be2e8d9d1fa4bc2 Mon Sep 17 00:00:00 2001
From: Balazs Benics <benicsbalazs at gmail.com>
Date: Tue, 11 Feb 2025 13:43:57 +0100
Subject: [PATCH 07/12] Highlight high disk usage for uftrace

---
 clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst | 1 +
 1 file changed, 1 insertion(+)

diff --git a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
index 886a8d83a8ac9..a30d33c1bd809 100644
--- a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
+++ b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
@@ -102,6 +102,7 @@ All functions are profiled due to static instrumentation.
 There is only one prerequisite to use this tool.
 You need to build the binary you are about to instrument using ``-pg`` or ``-finstrument-functions``.
 This will make it run substantially slower but allows rich instrumentation.
+It will also consume many gigabites of storage for a single trace unless filter flags are used during recording.
 
 .. code-block:: bash
    :caption: Recording with ``uftrace``, then dumping the result as a Chrome trace JSON.

>From 4aa1f3453dc8dcf8cd4bb2612406a4c387017641 Mon Sep 17 00:00:00 2001
From: Balazs Benics <benicsbalazs at gmail.com>
Date: Tue, 11 Feb 2025 13:46:53 +0100
Subject: [PATCH 08/12] Move doc link

---
 clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
index a30d33c1bd809..803bda50ceb5c 100644
--- a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
+++ b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
@@ -117,7 +117,7 @@ In this picture, you can see the functions below the Static Analyzer's entry poi
 You can also see how deep function calls we may have due to AST visitors.
 
 Using different filters can reduce the number of functions to record.
-For the `common options <https://github.com/namhyung/uftrace/blob/master/doc/uftrace-record.md#common-options>`_, refer to the ``uftrace`` documentation.
+For the common options, refer to the ``uftrace`` `documentation <https://github.com/namhyung/uftrace/blob/master/doc/uftrace-record.md#common-options>`_.
 
 Similar filters can be applied for dumping too. That way you can reuse the same (detailed)
 recording to selectively focus on some special part using a refinement of the filter flags.

>From 196dd507b48d68cf141edee610f21d2edd0929ef Mon Sep 17 00:00:00 2001
From: Balazs Benics <benicsbalazs at gmail.com>
Date: Tue, 11 Feb 2025 13:48:23 +0100
Subject: [PATCH 09/12] Accept reviewer suggestion

---
 .../docs/analyzer/developer-docs/PerformanceInvestigation.rst  | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
index 803bda50ceb5c..b280115238653 100644
--- a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
+++ b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
@@ -123,7 +123,8 @@ Similar filters can be applied for dumping too. That way you can reuse the same
 recording to selectively focus on some special part using a refinement of the filter flags.
 Remember, the trace JSON needs to fit into Chrome's ``about:tracing`` or `speedscope <https://speedscope.app>`_,
 thus it needs to be of a limited size.
-In that case though, every dump operation would need to sieve through the whole recording if called repeatedly.
+If you do not apply filters on recording, you will collect a large trace and every dump operation
+would need to sieve through the much larger recording which may be annoying if done repeatedly.
 
 If the trace JSON is still too large to load, have a look at the dump and look for frequent entries that refer to non-interesting parts.
 Once you have some of those, add them as ``--hide`` flags to the ``uftrace dump`` call.

>From 004b8a6f9306b1d41cdae2128de7c61f6b2b077d Mon Sep 17 00:00:00 2001
From: Balazs Benics <benicsbalazs at gmail.com>
Date: Tue, 11 Feb 2025 13:49:16 +0100
Subject: [PATCH 10/12] Accept reviewer suggestion

---
 clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
index b280115238653..6d1a5f126223d 100644
--- a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
+++ b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
@@ -126,7 +126,7 @@ thus it needs to be of a limited size.
 If you do not apply filters on recording, you will collect a large trace and every dump operation
 would need to sieve through the much larger recording which may be annoying if done repeatedly.
 
-If the trace JSON is still too large to load, have a look at the dump and look for frequent entries that refer to non-interesting parts.
+If the trace JSON is still too large to load, have a look at the dump as plain text and look for frequent entries that refer to non-interesting parts.
 Once you have some of those, add them as ``--hide`` flags to the ``uftrace dump`` call.
 To see what functions appear frequently in the trace, use this command:
 

>From 6f91f3c2ab0aa660af0a05ce9d62ca4ca15682ff Mon Sep 17 00:00:00 2001
From: Balazs Benics <benicsbalazs at gmail.com>
Date: Tue, 11 Feb 2025 14:06:04 +0100
Subject: [PATCH 11/12] Fix file extension in the image tag

---
 clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
index 6d1a5f126223d..dd713b4c12ad9 100644
--- a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
+++ b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
@@ -86,7 +86,7 @@ It's also useful to check out Brendan Gregg's (the author of FlameGraph)
    /path/to/FlameGraph/flamegraph.pl perf.folded  > perf.svg
    firefox perf.svg
 
-.. image:: ../images/flamegraph.svg
+.. image:: ../images/flamegraph.png
 
 
 Performance analysis using ``uftrace``

>From 4ad385a36fff065532fc57c15d6a30bc880908cb Mon Sep 17 00:00:00 2001
From: Balazs Benics <benicsbalazs at gmail.com>
Date: Tue, 11 Feb 2025 18:31:23 +0100
Subject: [PATCH 12/12] Accept reviewer suggestion

---
 .../docs/analyzer/developer-docs/PerformanceInvestigation.rst | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
index dd713b4c12ad9..ca3a56828209b 100644
--- a/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
+++ b/clang/docs/analyzer/developer-docs/PerformanceInvestigation.rst
@@ -96,8 +96,8 @@ Performance analysis using ``uftrace``
 that you can use to focus and drill down into the timeline of your application.
 We will use it to generate Chromium trace JSON.
 In contrast to ``perf``, this approach statically instruments every function, so it should be more precise and thorough than the sampling-based approaches like ``perf``.
-In contrast to using `-ftime-trace`, functions don't need to opt-in to be profiled using ``llvm::TimeTraceScope``.
-All functions are profiled due to static instrumentation.
+In contrast to using ``-ftime-trace``, functions don't need to opt-in to be profiled using ``llvm::TimeTraceScope``.
+All functions are profiled due to automatic static instrumentation.
 
 There is only one prerequisite to use this tool.
 You need to build the binary you are about to instrument using ``-pg`` or ``-finstrument-functions``.



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