QtCS2017 Discuss Qt Logging enhancements

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Revision as of 14:53, 27 October 2017 by Arnaud Clere (talk | contribs)
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Discussion

  • Structured logging:
    • We want to extract information from logs and detect common messages. For example:
From To 
   Got message "Hello"     

   Got message "%s"       Hello 

   Got message "World"     

   Got message "%s"       World
    • We want to allow logging to store ancillary data, possibly in machine-readable format, likely not part of the message itself
      • Like journald API can do
      • How do we allow different formatting depending on backend? Needs to support formatting user types too.
  • Structured output
    • Store to databases, for example
    • Select backend with environment variable

Need to review with LTTNG and ETW tracing

ML discussion: http://lists.qt-project.org/pipermail/development/2017-October/031047.html

Summary

Qt Logging lacks regarding 2 different use cases:

1/ High-performance code (say HW handling, big data processing) needs a way to inject a few structured tracepoints to generate large binary traces (say, for profiling)

2/ Existing tracepoints (think about nb of qDebug in Qt user code) should generate more structured traces to:

  • facilitate exploration and diagnostic, and
  • allow immediate use of analysis tools like Python

Service and Device developers need #1. Medical Devices would benefit from #2 for post-market surveillance. Device designers operating in an uncontrolled environment would probably benefit from #2 as well

Prototypes

  • LTTNG and ETW tracing uses external tracepoint data description to generate code for LTTNG and ETW backends (or no code at all)
  • Qt-based modmedLog library (presentation, forge) uses Bind<T> and IData implementations to bind tracepoint data to JSON/XML/Console outputs and possibly read them back for replay

Conclusion

We should sit down and see how these 2 use cases intersect and the best things that are provided by each prototype

Requirements

For #1:

  • as little generated code as possible at the tracepoint:
    • no binary or numeric formatting
    • completely removable from release code (not just bypassing like QNoDebug::operator<<)

For #2:

  • source compatibility with qDebug tracepoints
    • do not require non trivial changes such as changing from qDebug()<< to qDebug(...)
    • allow changing qDebug() to qTrace() or whatever to provide choice of old vs structured tracing
    • extensible to any user data type
  • offer structured trace formats (TSV+JSON, XML, sqlite?) to avoid low-level parsing

Questions

  • Do we still obey QT_MESSAGE_PATTERN? YES and it could be extended with, say, %{format} %{arg0} ...
  • Can we generate efficient tracepoint code without an external tracepoint description and tool?
  • Should we provide a format+args handler delegating by default to the existing handler?

(*QtMessageHandler2)(...,const QString & format, const QStringList & args);

  • Should we provide a formatting-independant handler based on Bind<T>:

(*QtMessageHandler3)(...,const QString & format, const QList<BindableRef> & args);

  • What about modmedLog performance?
  • When variadic macros and templates are available, can they be used to get the best of both prototypes?

Tracing/Logging survey

Tracepoint kinds

Dynamically-Defined

Data layout built at run-time (usually text format but binary is possible too) :

  • qDebug()<<... (QString msg assembled by QDebug)
  • LTTng tracef(format,...) (null-terminated string formatted by printf)
  • sd_journal_send(format,...)
  • MacOS os_log(level,format,....)
  • ETW TraceEvent(...,buffer) (buffer containing assembled data and metadata)

PROS: allows any kind of event data (nullable, dynamically-sized structures and arrays, variants, nested data)

CONS: prohibits bare metal performance (runtime function calls for assembling event data, data structure must be explicitely repeated for all event occurences)

USAGE: maximum acceptable effort for most app developer traces (see rsyslog author's remark on developers still not identifying their events 15+years after MS event log offered the possibility: http://blog.gerhards.net/2011/11/what-i-dont-like-about-journald.html )

Statically-Defined

(data layout fixed at compile-time)

PROS: allows bare metal performance (no heap allocation, fixed instruction pipeline, data structure removed from event occurences)

CONS:

  • prohibits or complicates some dynamic event data (nullable, dynamically-sized structures and arrays, variants, nested data)
  • app developers will generally not take the burden to generate an UUID, add a prebuild step to their build and describe trace points data when they can just append it to a generic tracepoint (see above)

USAGE: system troubleshooting for sysadmin

Probes

(no-ops that can be dynamically changed to collect data with DTrace or similar tools)

  • DTrace (on MacOS for instance)
  • Linux bcc/eBPF

PROS: allows many live analysis with limited performance impact (no impact when unused)

CONS: probe safety is a concern (solved by DTrace in general but still undesirable for certified software IMO)

USAGE: performance analysis graal for experts only (DTrace author admits most DTrace users just run existing D scripts)

Tracepoint data formats

Binary

PROS: write performance mainly depends on memory copies, sometime on memory allocations and function calls

CONS: difficult choice between interoperability and native toolsets

Text

  • printf(format,...)
  • qDebug(format,...)
  • qDebug()<<...
  • LTTng tracef(format,...)

CONS: write performance impaired by encoding of numbers, QString, QByteArray

PROS: interoperability and evolutions facilitated

Configurable

  • modmedLog LogOutput + IData
  • log4xx
  • ...

Trace backends

File

PROS: interoperability, simple toolset

CONS: unknown throughput, lacks basic logging features (log rotation)

MS ETW / LTTng

PROS: best throughput, async IO, unlogged events accessible from crash dump

CONS: specialised and platform-dependent toolset unknown from most app developers

MS EventViewer / Journald / syslog

PROS: good throughput

CONS: platform-dependent toolset

Configurable

  • QtMessageHandler
  • modmedLog LogOutput
  • log4xx
  • ...
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