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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