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Is there any simple tutorial for installing geoserver with jetty on Ubuntu ?
sudo apt-get update
sudo apt-get install unzip openjdk-6-jre
echo "export JAVA_HOME=/usr/lib/jvm/java-6-openjdk-amd64" >> ~/.bashrc
source ~/.bashrc
wget -c http://sourceforge.net/projects/geoserver/files/GeoServer/2.3.5/geoserver-2.3.5-bin.zip/download
unzip -a geoserver-2.3.5-bin.zip
cd geoserver-2.3.5/bin
./startup.sh &
In web browser visit http://localhost:8080/geoserver/
You can use this docker container https://hub.docker.com/r/winsent/geoserver/ it based on Oracle Java 7 with JAI 1.1.3, ImageIO 1.1, GDAL 1.10.1 and extensions.
Or see Dockerfile how to install https://hub.docker.com/r/winsent/geoserver/~/dockerfile/
You can use abhijeetkoli/geoserver image if you wish to give it a try.
Source and build scripts are here
Docker
docker run -d --name geoserver abhijeetkoli/geoserver
Kubernetes
kubectl --kubeconfig ~/.kube/gis.config apply \
-f ./scripts/kubernetes/gis/geoserver-service.yaml \
-f ./scripts/kubernetes/gis/geoserver-deployment.yaml
Related
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What is the simple and step by step guide for installing Apache spark 2.0 in Ubuntu(16.04) local machine accessed using python(pyspark). I have tried to search web most of them end up in one or other error.
Courtesy : https://www.santoshsrinivas.com/installing-apache-spark-on-ubuntu-16-04/
I am writing my steps here as I saw few steps are different than expected (at least for ubuntu 16.04)
So here are the steps
step 1:
Download the latest pre-built version from http://spark.apache.org/downloads.html
step 2:
Unzip and move Spark
cd ~/Downloads/
tar xzvf spark-2.0.1-bin-hadoop2.7.tgz
mv spark-2.0.1-bin-hadoop2.7/ spark
sudo mv spark/ /usr/lib/
step 3:
Install SBT
echo "deb https://dl.bintray.com/sbt/debian /" | sudo tee -a /etc/apt/sources.list.d/sbt.list
sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv 2EE0EA64E40A89B84B2DF73499E82A75642AC823
sudo apt-get update
sudo apt-get install sbt
Note:- you might have some issues in this step. so please refer the link provided at the end.
step 4:
make sure Java is installed. if not
sudo apt-add-repository ppa:webupd8team/java
sudo apt-get update
sudo apt-get install oracle-java8-installer
step 5:
Configure Spark
cd /usr/lib/spark/conf/
cp spark-env.sh.template spark-env.sh
vi spark-env.sh
and add following
JAVA_HOME=/usr/lib/jvm/java-8-oracle
SPARK_WORKER_MEMORY=4g
step 6:
configure bash file.
open the bashrc file using below command
vi ~/.bashrc(if you want to use vi editor)
subl ~/.basrc(if you want to use sublime)
copy the below in the bashrc file
export JAVA_HOME=/usr/lib/jvm/java-8-oracle
export SBT_HOME=/usr/share/sbt-launcher-packaging/bin/sbt-launch.jar
export SPARK_HOME=/usr/lib/spark
export PATH=$PATH:$JAVA_HOME/bin
export PATH=$PATH:$SBT_HOME/bin:$SPARK_HOME/bin:$SPARK_HOME/sbin
start the bash file using below command
source ~/.bashrc
step 7:
try now
pyspark
Note: in case you get stuck with sbt installation (usual case for ubuntu 16.04) try the below link
https://askubuntu.com/questions/771839/problem-installing-package-git-all/771889#771889
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Following AWS instruction to install Docker, After ssh to the ubuntu instance, I am getting the terminal as
ubuntu#ip-<private ip>:~$ but step 3 says
[ec2-user ~]$ sudo yum update -y
Not sure if I should continue wit the command or I need to create a user and re login as that user? I am new to AWS and my linux practice is 10 years old.
And if a user needs to be created, is that via the current ssh or the AWS console?
Thanks
You use simple curl command to install docker on any Linux machine.
curl -SsL https://get.docker.com | bash
Above command will automatically solve all the dependencies and install docker.
The documentation shows how to install Docker on Amazon Linux instances not ubuntu. The user youre logged in with doesnt matter, just replace the yum commands with the apt-get equivalents or switch to using an Amazon Linux AMI.
For Ubuntu, you can use:
$ sudo apt-get update
you might have been checking the documentation of RHEL which needs
$ sudo yum update -y
If you are working behind a proxy, Make sure you configure the proxy for Docker.
Hope it helps.. :)
Follow below commands on ubuntu ec2 :
curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add -;
sudo add-apt-repository "deb [arch=amd64] https://download.docker.com/linux/ubuntu $(lsb_release -cs) stable";
sudo apt-get update -y;
sudo apt-cache policy docker-ce; ( Here select the required one from this step for the next step)
sudo apt-get install docker-ce=5:18.09.2~3-0~ubuntu-xenial;
sudo service docker start;
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Can I run VirtualBox and an active VM on a server hosted on Google Compute Engine? If yes, what are the steps? Just install it and build the VM through VNC?
So far I have found similar solution for DigitalOcean where you simply install VirtualBox, xfce, VNC, etc. and it runs.
Create GCE instance
SSH to that instance
Download and install Virtualbox (wget DEB + sudo dpkg -i virtualbox-5*.deb)
Upgrade system, build and install kernel modules
sudo apt-get update
sudo apt-get upgrade
sudo apt-get dist-upgrade
sudo apt-get install -y build-essential
sudo apt-get install -y linux-headers-$(uname -r)
sudo /etc/init.d/vboxdrv setup
Profit!
To check if all is good just run VBoxManage --version. If some other errors are present google and resolve
Yes, the same approach will work on a GCE VM.
You can also use Vagrant with the Google Compute Engine plugin to automate creation of virtual machines and GCE VMs.
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I have Python2.7 installed and was having some issues with installing scipy. Through some Googling, I figured from a thread here (installing scipy on mac 10.6.8) that it is better to install scipy using MacPorts and IPython.
IPython looked cool and I wanted to try it. So far, too good - I feel great and elated that I could do all this by myself.
Now, I had Biopython installed with my Python2.7 (this version of Python2.7 was installed in a folder /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7).
In my overzealousness to try Ipython, I (think) I re-installed Python2.7, along with IPython, scipy, etc in a new directory /opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7.
However, now I don't have Biopython in the new installation of Python2.7. So do I have to re-install Biopython in the new installation of Python2.7?
And if yes, how do I direct the installation to this folder?
Would it be like the following (say I have biopython-1.61.tar.gz in the folder Downloads):
cd Downloads
tar -xzvpf biopython-1.61.tar.gz
cd biopython-1.61
/opt/local/Library/Frameworks/Python.framework/Versions/2.7/bin/python setup.py install
I would like to hear if I am of-base here. Do not want to try and screw-up what I have so far!
I have Mac OS X V10.6.8.
The following worked for me (from MacPorts Python installation on Mac):
Make the Python2.7/iPython2.7 installation I performed using MacPorts the default
$ sudo port select --set python python27
$ sudo port select --set ipython ipython27
Check if Biopython is available through MacPorts
$ port search biopython
Install Biopython
$ sudo port install py27-biopython # install Biopython
One of the toughest things for someone new to Python is figuring out the installation of all of the packages. It's a work in progress that is actively being discussed by the Python community.
I would recommend going with a commercial distribution that gives you everything you want that just works. This way you can start learning to work with Python instead of having to figure out how to get everything working.
I would recommend:
https://www.enthought.com/products/epd/free/
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I'm a newbie in web services. How can I develop a simple one on my Ubuntu box?
Is there any packages I need to install first?
Well since you didn't say what language or even what webservices try this:
sudo apt-get install apache2
sudo apt-get install php5
sudo apt-get install libapache2-mod-php5
sudo /etc/init.d/apache2 restart
Goto /var/www/ create a file called hello.php
<?php
echo "<webservice><hello>world</hello></webservice>";
?>
Goto http://localhost/hello.php and you already have a webservice returning some XML. That's how they all work (no matter what language you choose, ASP.NET is just better in hiding that).