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https://issues.apache.org/jira/browse/HADOOP-17193?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gautham Banasandra reassigned HADOOP-17193:
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Assignee: Gautham Banasandra
> Compile Hadoop on Windows natively
> ----------------------------------
>
> Key: HADOOP-17193
> URL: https://issues.apache.org/jira/browse/HADOOP-17193
> Project: Hadoop Common
> Issue Type: Improvement
> Components: build, native
> Affects Versions: 3.1.3
> Environment: Windows 10
> Reporter: Gautham Banasandra
> Assignee: Gautham Banasandra
> Priority: Major
>
> Hadoop compiles flawlessly on Linux whereas, one has to hack around to
> compile it on Windows. The reason is obvious, there's a very large proportion
> of C/C++ codebase that's written in a platform specific manner that's
> amenable to Linux.
> Thus, compiling Hadoop on Windows involves using the MinGW or the Cygwin
> toolchains. This third party dependency might be seen as a risk for those who
> want to deploy Hadoop on Windows nodes in production. The primary reason for
> this is that the MinGW/Cygwin runtimes on Windows don't produce core dumps.
> Whereas the Visual C++ runtime is able to do so, which greatly enables
> debugging.
> Another reason to use the Visual C++ compiler for compiling Hadoop on Windows
> is that Visual C++ is native to Windows and one will have access to a large
> collection of tools that can be used for instrumentation, telemetry and
> fine-tuning the settings of Hadoop to run better on Windows.
> Modern C++ has a plethora of APIs that one can use to write safe,
> cross-platform code, which can be leveraged to refactor the existing Linux
> specific code, thereby enabling compilation on Windows using the native
> Visual C++ compiler.
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