Thanks very much for the advise.
One question is whether Cxx is mature enough to be usable at this stage. I
tried to add it with Julia 0.5 and got the following errors:
julia> Pkg.add("Cxx")
INFO: Installing Cxx v0.0.1
INFO: Building Cxx
writing path.jl file
Tuning for julia installation at: /home/xxx/Software/julia-e6f843b073/bin
g++ -D_GLIBCXX_USE_CXX11_ABI=0 -fno-rtti -DLIBRARY_EXPORTS -fPIC -O0 -g
-std=c++11 -I/home/xxx/Software/julia-e6f843b073/bin/../../src/support
-I/home/xxx/Software/julia-e6f843b073/bin/../include -Isrc/clang-3.7.1/lib
-Ibuild/clang-3.7.1/include -Isrc/clang-3.7.1/include
-Isrc/llvm-3.7.1/include -Ibuild/llvm-3.7.1/include -DLLVM_NDEBUG -c
../src/bootstrap.cpp -o build/bootstrap.o
../src/bootstrap.cpp:19:35: fatal error: llvm/ADT/DenseMapInfo.h: No such
file or directory
compilation terminated.
BuildBootstrap.Makefile:131: recipe for target 'build/bootstrap.o' failed
make: *** [build/bootstrap.o] Error 1
=================================[ ERROR: Cxx
]=================================
LoadError: failed process: Process(`make -j2 -f BuildBootstrap.Makefile
BASE_JULIA_HOME=/home/xxx/Software/julia-e6f843b073/bin`, ProcessExited(2))
[2]
while loading /home/xxx/.julia/v0.5/Cxx/deps/build.jl, in expression
starting on line 31
================================================================================
================================[ BUILD ERRORS
]================================
WARNING: Cxx had build errors.
- packages with build errors remain installed in /home/xxx/.julia/v0.5
- build the package(s) and all dependencies with `Pkg.build("Cxx")`
- build a single package by running its `deps/build.jl` script
================================================================================
INFO: Package database updated
On Saturday, September 3, 2016 at 9:17:38 AM UTC+8, Steven G. Johnson wrote:
>
>
>
> On Friday, September 2, 2016 at 8:51:21 PM UTC-4, K leo wrote:
>>
>> While the majority of my analytics are in Julia, I will need to use an
>> external event handling API which is implemented in C++. It looks that I
>> have two options: 1) write the main code in C++ with the API and call Julia
>> function for analytics; 2) write the main code also in Julia that work
>> seamlessly with my analytics and call the C++ API for events.
>>
>> Which would be the better path in terms of ease of coding and performance?
>>
>
> Much easier to call C++ from Julia, particularly with the Cxx.jl package
> <https://github.com/Keno/Cxx.jl>. Performance-wise, it shouldn't
> matter, but it is always easier to write glue code in a higher-level
> language than in a lower-level language.
>
