Climate Data Analytic Service provider built on scala, Spark, Akka, Haddop, and python tools such as UVCDAT, etc.
1) Java SE Platform (JDK) 1.7: http://www.oracle.com/technetwork/indexes/downloads/index.html
2) Scala: http://www.scala-lang.org/download/install.html
3) Scala Build Tool (sbt): http://www.scala-sbt.org/0.13/docs/Setup.html
1) Checkout the CDS2 sources:
>> cd <prefix>
>> git clone https://github.com/nasa-nccs-cds/CDAS2.git
2) Build the application (for a clean build one can execute "sbt clean" before "sbt package"):
>> cd CDAS2
>> sbt package
3) Run unit tests:
>> sbt test
4) Source the setup file to configure the runtime environment:
>> source <prefix>/CDAS2/bin/setup_runtime.sh
6) Startup the CDAS server:
>> cd CDAS2
>> ./bin/startup_cdas_local.sh
7) Access demos:
Designed to be deployed with the CDWPS framework (https://github.com/nasa-nccs-cds/CDWPS)
1) Install Anaconda: https://github.com/UV-CDAT/uvcdat/wiki/Install-using-Anaconda
2) Create cdas2 conda environment:
>> conda create -n cdas -c conda-forge -c uvcdat uvcdat nco pyzmq psutil lxml
3) Initialize shell enviromnment for cdas:
>> source <prefix>/CDAS2/bin/setup_runtime.sh
>> source activate cdas
4) Build CDAS python pacakges:
>> cd CDAS
>> python setup.py
1) Install IntelliJ IDEA CE from https://www.jetbrains.com/idea/download/ with Scala plugin enabled.
2) Start IDEA and import the CDAS2 Project from Version Control (github) using the address https://github.com/nasa-nccs-cds/CDAS2.git.
CDAS uses the YourKit profiler (https://www.yourkit.com/java/profiler/), by YourKit, LLC, which supports
open source projects with innovative and intelligent tools for profiling Java and .Net applications.