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Caveats
This page collects references to various caveats which were noticed during development of usage of clcache.
No cache hits when building via Visual Studio IDE or MSBuild
Various people (see e.g. GitHub issues #33 or #135) reported that they do not see any cache hits when running clcache via the MSBuild tool, which is the build tool executed by the Visual Studio IDE. The symptom is that a clean rebuild, or just cleaning, a project and then rebuilding does not cause any cache hits even though nothing changed.
The reason for this is that the CL Task used by MSBuild has a feature which makes it track all files written while executing a task, and when cleaning the project all those files are deleted. Alas, this also causes any cached files created by clcache to be tracked and hence deleted. The documentation explains:
[..] TLogFileWrites - Optional ITaskItem[] parameter. Specifies an array of items that represent the write file tracking logs. A write-file tracking log (.tlog) contains the names of the output files that are written by a task, and is used by the project build system to support incremental builds. For more information, see the TrackerLogDirectory and TrackFileAccess parameters in this table. [..]
TrackFileAccess - Optional Boolean parameter. If true, tracks file access patterns. For more information, see the TLogReadFiles and TLogWriteFiles parameters in this table.
To fix this, open the .vcxproj
file of your project and extend (or add) the Globals
property group such that the TrackFileAccess
parameter is set to false
:
<PropertyGroup Label="Globals">
...
<TrackFileAccess>false</TrackFileAccess>
</PropertyGroup>
If you don't want to modify these properties in your .vcxproj
file you pass them while invoking MSBuild directly. Other useful properties in combination with clcache are /p:CLToolExe=clcache.exe /p:CLToolPath=c:\path\to\the\clcache
msbuild.exe /p:TrackFileAccess=false /p:CLToolExe=clcache.exe /p:CLToolPath=c:\path\to\the\clcache
Slow performance when using a clcache executable built via PyInstaller
The README file suggests to use PyInstaller to simplify deployment of clcache on build machines. While this is true, it was noted that using the --onefile
argument to pyinstaller
might slow things down considerably.
Indeed, the documentation explains:
The one executable file contains an embedded archive of all the Python modules used by your script, as well as compressed copies of any non-Python support files (e.g. .so files). The bootloader uncompresses the support files and writes copies into the the temporary folder. This can take a little time. That is why a one-file app is a little slower to start than a one-folder app.
To avoid this overhead, make sure that you do not use the --onefile
argument.
The way in which the clcachesrv
server process for caching hash sums of include file works prevents that the directories containing such include files cannot be deleted anymore since clcachesrv
monitors the file system to watch those files for changes (in order to invalidate the cached hash sum). See this comment for some internal details on what's going on.
To work around this problem, an --exclude
argument can be passed to the clcachesrv
to instruct it to not bother caching the hash sums of files in certain paths. The argument takes a regular expression (hence, special characters need to be escaped) and is used like
$ python clcachesrv.py --exclude \\build\\
Usually, there is no benefit in caching hash sums of file sin build directories - instead, just the include files of standard libraries (e.g. the C++ library or common 3rd party libraries) need to be considered.