LINUX ONLY : Combines CLOG events that are stored with LTTng into human readable text.
#Timetool exe code#
clog2text_windows or clog2text_lttng).īuild time tool to generate source code based on regex parsing of C/C++ code.
For debugging, convert your recorded traces into something human readable using one of the tools (e.g.Using your favorite OS collection mechanism, collect traces using the appropriate tools.At build time, your source file will be read and processed using a config file.
#Timetool exe .exe#
exe extension is provided for clarity, clog.exe is cross platform and on Linux the. DROP packet Dst=%!IPADDR! Src=%!IPADDR! Reason=%s. Requiring a "side car" (external manifest) for event presentation to a human readable format (e.g. The author chooses, at build time, how their events are manifested based on their needs – the decision can be reevaluated in the future without making changes to code or tools. This maximizes utility of existing tooling (like WPA). Using a printf-like syntax for event description: For example the Windows Performance Analyzer (WPA) have different needs as compared to a human reading a log. Worse, API's tend to create permanent couplings between code and tools due to those couplings.Ĭlog argues a tool (and not a library) best solves the range of problems we face.Įvent description (manifests), for purposes of tooling needs to be decoupled from description for human presentation (text files). The ability to use existing tooling, such as like WPA.Ĭode and tool assets need to be decoupled from bit encoders to preserve the code/tools assets as bit encoders are modified (as would happen as code moves between OS's or projects)ĪPI abstractions not a sufficient solution to our problems, due to performance.Generates clear, human readable text for the final log format.Manifested events and argugments with type safety.Durable Identifiers for use in telemetry pipelines.ETW on Windows, LTTng on Linux) CLOG provides: There is a general need for the ability to emit structured, cross platform events in high performance code paths.Įxclusively using existing encoders and tooling (e.g. Within the tracing and telemetry space there are many API or library choices and it's very difficult (if not impossible) to choose correctly.
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