# sudo ln -s <absolute path>/hbe <folder in $PATH>/<name you liked>
#
# example. Enter hadoop-build-env folder 
$ sudo ln -s `pwd`/hbe /usr/bin/hbe

# prepare enviroment in control-proxy and cluster for all actions 
$ hbe init 

# install nessary libs in control-proxy for compiling...
$ hbe initcontrolp 

# initally compile source code, configure site, distribute binary libs into cluster, 
# prepare runtime environment for cluster
$ hbe initdeploy 

# prepare runtime environment for cluster 
$ hbe initcluster 

# initially compile source code in control-proxy.
# This stage will resolve maven depandency and download necessary jars.
$ hbe initcompile  
	
# compile source code, configure site, distribute binary libs into cluster
$ hbe deploy 

# configure site.xml, worker, hadoop-env.sh and sync into cluster ...
$ hbe config 

# compile source code in control-proxy. default compile hadoop-main.
# params: yapi, yclient, ycommon, yscommon, ysrm, ysnm
$ hbe compile 
              
# add permissions for stage-sync, and also create hdfs dirs ...
$ hbe syncp 

# distribute binary libs into cluster. default sync hadoop-main.
# params: yapi, yclient, ycommon, yscommon, ysrm, ysnm
$ hbe sync
           
# clean cluster files. 
# params: log
$ hbe clean 

# default start-all.sh. 
# params: yarn, hdfs
$ hbe start

# default stop-all.sh.
# params: yarn, hdfs 
$ hbe stop 

# submit applications into cluster. 
# The basepath of execution is cluster binary libs path.
$ hbe submit <ins1> <ins2>

# ========================EXAMPLES AS FOLLOWING======================== #

$ hbe initcompile # first compile

$ hbe initdeploy # first compile and deploy

$ hbe deploy

$ hbe compile && hbe stop && hbe sync && hbe config && hbe strart

$ hbe compile ysrm ysnm 

$ hbe sync ysrm ysnm 

$ hbe clean log

$ hbe submit "./bin/hadoop jar ./share/hadoop/mapreduce/hadoop-mapreduce-examples-3.0.0-beta1.jar pi -Dmapreduce.job.num-opportunistic-maps-percent='100' 50 50" "./bin/hadoop jar ./share/hadoop/mapreduce/hadoop-mapreduce-examples-3.0.0-beta1.jar pi -Dmapreduce.job.num-opportunistic-maps-percent='50' 100 100"