[jira] [Created] (HADOOP-17193) Compile Hadoop on Windows natively

["Gautham Banasandra (Jira)" <ji...@apache.org>]

Gautham Banasandra created HADOOP-17193:
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             Summary: 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


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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