I have downloaded the Cordapp example provided in the Corda website. I follow all the steps (to run it from the console) in
https://docs.corda.net/tutorial-cordapp.html
without any problem until "Running the example CorDapp". Here i get to errors one way or another.
First, when running
workflows-kotlin/build/nodes/runnodes
one or more of the nodes would not start. I was using a virtual machine with 2 cores and 4GB of RAM. Eventually, i noticed it seemed to be an issue with the RAM, so i changed the VM condig to 4 cpus and 10 GB of RAM.
Now, i can run
workflows-kotlin/build/nodes/runnodes
and get all 4 nodes working but, as soon as I run the following instruction
/gradlew runPartyXServer
Where X=[A,B,C] for each of the possible nodes, after 20-30 seconds as much, the machine repently slows down and aborts.
The VM has Fedora 30, 4 cores and 10GB of RAM. It is empty except for what i downloaded for the tutorial. I cannot believe those are not enough resources to run the tutorial, Am i wrong? Do i need more? may it be another thing?
Any help is welcome.
== Solved ==
The issue were the resources. I jumped to 8 cores and 32GB and it ran. I will try at some point with 16GB. In any case, the problem, from my point of view, is that having those large hardware requirements, the tutorial should include a section describing the minimum setup needed to run it.
From the given information, I believe you had ran into a Memory issue.
According to our documentation, Corda has a suggested minimal requirement of 1GB of Heap and 2-3GB of Host RAM per node.
https://docs.corda.net/docs/corda-enterprise/4.4/node/sizing-and-performance.html#sizing
I would suggest either reduce the number of nodes hosted on a single machine or expand your RAM size of the VM
Related
I am trying to perform a Revision Cleanup activity on AEM Repository to reduce the size of the same by Tar Compaction. The Repository Size is 730 GB and Adobe Version is 6.1 which is old. The estimated time is 7-8 hours for the activity to get completed. We ran it for 24 hours straight but the activity is still running and no output. We have also tried running all the commands to speed up the process but still it is taking time.
Kindly suggest an alternative to reduce the size of the repository.
Adobe does not provide support to older versions, so we cannot raise a ticket.
Try to check the memory assigned to your machine, RAM memory I mean for JVM. Maybe if you increase it will take less and finish.
The repository size is not big at all. Mine is more than 1TB and is working.
In order to clean your repo you can try to run the Garbage Collector directly from AEM on JMX console.
The only way to reduce the datastorage is compact the server, or delete content like big assets or also big packages. Create some queries to see which assets / packages are huge and also delete them.
Hope you can fix your issue.
Regards,
If we install.packages("dplyr") on a GCP 'RStudio Server Pro Standard' VM, it takes around 3 minutes to install (on instance with 4 cores / 15 gb ram)
This seems unusual, as installation would typicaly take ~20 seconds on a laptop with equivalent specs.
Why so slow, and is there a quick and easy way of speeding this up?
Notes
I use the RStudio Server Pro Standard image from GCP marketplace to start the instance
Keen to know if there are any 'startup scripts' or similar I can set to run after the instance starts, e.g. to install a collection of commonly used packages
#user5783745 you can also adjust the Makevars to allow multithreaded compilation, which will help speed up compilations.
I followed this RStudio community post, and dropped MAKEFLAGS = -j4 into ~/.R/Makevars.
This basically halved the amount of time it took to install dplyr from scratch on the RStudio Server Pro Standard for GCP instance I spun up. (same as yours, 4 vCPU, 15GB ram)
I installed all prerequisites as mentioned for ubuntu machine
(JDK-8, intellij IDEA, git).
I clone the sample code from the git. It's running but system got struct too much.
My system configurations are operating system : ubuntu 16.04, RAM :4Gb , Hard Disk:500 Gb. Is there any alternative solution for this problem any one can help me out.
Thanks in advance.
This question is answered at: Cordapp tutorial crashing in a Fedora VirtualBox Machine
For similar reason: your RAM is too small to handle multiple nodes.
According to our documentation, Corda has a suggested minimal requirement of 1GB of Heap and 2-3GB of Host RAM per node. https://docs.corda.net/docs/corda-enterprise/4.4/node/sizing-and-performance.html#sizing
I am running an external program via R that is pretty memory hungry and can take >8 hours to run. I'd like to open up another instance of R to do other tasks but am concerned about crashing the external program and having to restart the process. Should I expect any problems under these circumstances? The external program is widows only and I'm running it on a Bootcamp partition on a MacBook Pro.
On a proper operating system, both instances will be independent and not interfere with each other. (Unless they compete for the same resources, from that does not seem to be the case from your description.)
This is no different than several users running on server and each running one or two instances...
I have some questions:
Is it possible to install openstack on a Notebook with a 4GB DD3 Ram? Because the website says it needs atleast 8GB of RAM.
They say it requirs a double-QuadCore , I assue that means Octacore. Can we install that on a Quadcore?
They say that there is no possibility to install it on a NAS . Did you find any where if there is a possibility to do?. I dint find any even after asking our friend(google).
All in all, is it at-all possible to install on it a notebook/Desktop?
That advice is for production environments,
so 1)If you just want to play around your notebook will do fine. I had a succesful test-run on a 1.2 Ghz 1GB Netbook. It became incredibly slow when it launched it's first instance...
With a Double Quadcore they actually mean two seperate Quad-cores, as in two quad-core xeon processors on a single motherboard
So 2) yes you can install it on a quad-core.
3) a NAS device running openstack an openstack storage service seems to be unlikely indeed. You will most likely need more computing power.However If your NAS supports NFS or SSH or sth you can probably mount this drive and use it for storage.
4) You can perfectly build a all-in-one openstack test setup on your notebook. Performance will be low, but acceptable for testing.
It depends on what you mean by "install OpenStack". OpenStack itself is an extremely modular framework consisting on many services (Compute, Networking, Image service, Block Storage, Object Storage, Orchestration, Telemetry, ...). On top of that, a typical production deployment of OpenStack also requires several components, like load balancers, caching systems, firewalls, web servers and others. It is definitely possible to install a minimal openstack system, even on an average laptop.
The simplest way to run OpenStack on a laptop/desktop is to use Devstack, a shell script that installs all services from source and run them (by default) on a single machine. It is customizable enough to provide very good testing ground; it's used by OpenStack developers as well as the OpenStack QA team to test latest developments against "real" systems.
To avoid messing up your system, it's generally recommended to install OpenStack in a VM. From devstack doc:
DevStack should run in any virtual machine running a supported Linux release. It will perform best with 2Gb or more of RAM.
As of the time of this writing (Jan 2015), supported distros are:
Ubuntu (latest LTS)
Fedora
CentOS
Regarding NAS: you can of course use it, but "outside" Openstack apis, by providing mount points to your vms. It's even mandatory if you want to support live migration.