yuanying

#!/usr/bin/python
#
# Fit to TCX
#
# Copyright (c) 2012, Gustav Tiger <gustav@tiger.name>
#
# Permission is hereby granted, free of charge, to any person obtaining a
# copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,

caiorss

Compile the C++ code creating a shared library (or shared object in UNIX)

$ clang++ TestJNI.cpp -o libTestJNI.so -fPIC -shared -std=c++11 -I$HOME/opt/java/include -I$HOME/opt/java/include/linux

Run the application

$ scala -save load.scala 
dir = /home/archbox/opengl/jni/libTestJNI.so
Hello world java
i = 0

rao-abdul-mannan

### This gist explains how to connect jupyterhub with Spark2 on CDH 5.13 Cluster. 
Following below instructions, Spark can be configured with Jupyterhub on any cluster, standalone or locally etc

- Install jupyterhub by following instructions on official repo https://github.com/jupyterhub/jupyterhub 
- Once installed, before configuring spark2 kernel first locate the jupyter's kernels directory. 
  On centos7, its under /usr/share/jupyter/kernels/
- Assuming all jupyterhub kernel's are in /usr/share/jupyter/kernels/ 
  mkdir /usr/share/jupyter/kernels/pyspark2
- Create pyspark2 kernel 
  touch /usr/share/jupyter/kernels/pyspark2/kernel.json

maaku

*~