r-node | Cloned from git | Continuous Deployment library
kandi X-RAY | r-node Summary
kandi X-RAY | r-node Summary
R-Node is a web front-end to the statistical analysis package R. Using this front-end, you can from any web browser connect to an R instance running on a remote (or local) server, and interact with it, sending commands and receiving the responses. In particular, graphing commands such as plot() and hist() will execute in the browser, drawing the graph as an SVG image.
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Trending Discussions on r-node
QUESTION
I am trying to run a simple parallel program on a SLURM cluster (4x raspberry Pi 3) but I have no success. I have been reading about it, but I just cannot get it to work. The problem is as follows:
I have a Python program named remove_duplicates_in_scraped_data.py. This program is executed on a single node (node=1xraspberry pi) and inside the program there is a multiprocessing loop section that looks something like:
...ANSWER
Answered 2021-Jun-15 at 06:17Pythons multiprocessing package is limited to shared memory parallelization. It spawns new processes that all have access to the main memory of a single machine.
You cannot simply scale out such a software onto multiple nodes. As the different machines do not have a shared memory that they can access.
To run your program on multiple nodes at once, you should have a look into MPI (Message Passing Interface). There is also a python package for that.
Depending on your task, it may also be suitable to run the program 4 times (so one job per node) and have it work on a subset of the data. It is often the simpler approach, but not always possible.
QUESTION
I am playing with a cluster using SLURM on AWS. I have defined the following parameters :
...ANSWER
Answered 2021-Jun-11 at 14:41In Slurm the number of tasks is essentially the number of parallel programs you can start in your allocation. By default, each task can access one CPU (which can be core or thread, depending on config), which can be modified with --cpus-per-task=#
.
This in itself does not tell you anything about the number of nodes you will get. If you just specify --ntasks
(or just -n
), your job will be spread over many nodes, depending on whats available. You can limit this with --nodes #min-#max/--nodes #exact
.
Another way to specify the number of tasks is --ntasks-per-node
, which does exactly what is says and is best used in conjunction with --nodes
. (not with --ntasks
, otherwise it's the max number of tasks per node!)
So, if you want three nodes with 72 tasks (each with the one default CPU), try:
QUESTION
I am trying to run a next js app locally inside a docker file. When I run the container, everything works as expected with the exception of my image files failing to render on the page. Inspection via the developer tools indicates a failed network request for those images (no 4XX code is indicated). The failed request looks as follows:
When I build npm run build
and run the app locally npm run start
, I see this same request successfully run. Same success story when I run in development mode npm run dev
.
Here is the section of code utilizing the next Image module. import Image from "next/image";
ANSWER
Answered 2021-May-28 at 03:40You need to check your docker Node version, which should be
QUESTION
I'm new to spring-boot & Elasticsearch technology stack and I want to establish secure HTTPS connection between my spring-boot app & elastic search server which runs locally. These are the configurations that I have done in elasticsearch.yml
Giving credintials for elasticsearch serverxpack.security.enabled: true
xpack.security.transport.ssl.enabled: true
For secure inter nodes connection inside elasticsearch clusterxpack.security.transport.ssl.verification_mode: certificate
xpack.security.transport.ssl.keystore.path: elastic-certificates.p12
xpack.security.transport.ssl.truststore.path: elastic-certificates.p12
For secure Https connection with clients and elasticsearch clustrerxpack.security.http.ssl.enabled: true
xpack.security.http.ssl.keystore.path: elastic-certificates.p12
xpack.security.http.ssl.truststore.path: elastic-certificates.p12
xpack.security.http.ssl.client_authentication: optional
Enabling PKI authenticationxpack.security.authc.realms.pki.pki1.order: 1
I have generated CA and client certificate which signed by generated CA according to this link
https://www.elastic.co/blog/elasticsearch-security-configure-tls-ssl-pki-authentication
And I have added CA to my java keystore.
This is the java code i'm using to establish connectivity with elasticsearch server.
@Configuration public class RestClientConfig extends AbstractElasticsearchConfiguration {
...ANSWER
Answered 2021-May-24 at 08:30Your issue looks similar to another issue, see here: Certificate for doesn't match any of the subject alternative names
So I would assume that if you add the SAN extension localhost as DNS and the ip address of localhost to the elasticsearch certificate it should work. So adding the following additional parameters: --dns localhost --ip 127.0. 0.1
. Can you give the command below a try and share your results here?
QUESTION
Following this post and this, here's my situation:
Users upload images to my backend, setup like so: LB -> Nginx Ingress Controller -> Django (Uwsgi). The image eventually will be uploaded to Object Storage. Therefore, Django will temporarily write the image to the disk, then delegate the upload task to a async service (DjangoQ), since the upload to Object Storage can be time consuming. Here's the catch: since my Django replicas and DjangoQ replicas are all separate pods, the file is not available in the DjangoQ pod. Like usual, the task queue is managed by a redis broker and any random DjangoQ pod may consume that task.
I need a way to share the disk file created by Django with DjangoQ.
The above mentioned posts basically mention two solutions:
-solution 1: NFS to mount the disk on all pods. It kind of seems like an overkill since the shared volume only stores the file for a few seconds until upload to Object Storage is completed.
-solution 2: the Django service should make the file available via an API, which DjangoQ would use to access the file from another pod. This seems nice but I have no idea how to proceed... should I create a second Django/uwsgi app as a side container which would listen to another port and send an HTTPResponse with the file? Can the file be streamed?
ANSWER
Answered 2021-May-22 at 01:48Third option: don't move the file data through your app at all. Have the user upload it directly to object storage. This usually means making an API which returns a pre-signed upload URL that's valid for a few minutes, user uploads the file, then makes another call to let you know the upload is finished. Then your async task can download it and do whatever.
Otherwise you have the two options correctly. For option 2, and internal Minio server is pretty common since again, Django is very slow for serving large file blobs.
QUESTION
Here is my editor.vue
I am trying to replicate the auto-grow example on their playground
I tried to add a scrolling container, and set heights for elements but the issue still persists.
...ANSWER
Answered 2021-May-18 at 13:55How about making clipboard in center and fix its position to avoid it to move with the text:
QUESTION
I am currently finishing up creating a CI dev pipeline and referencing the following documentations
- https://www.andreasnesheim.no/using-vsts-and-github-to-set-up-cicd-for-your-node-js-grunt-application/
- https://www.c-sharpcorner.com/blogs/creating-cicd-pipeline-for-angular-and-hosting-in-azure-app-service
- https://azuredevopslabs.com/labs/vsts/nodejs/
- https://morioh.com/p/0d80bfd8ea27
The references all show that the artifacts get zipped up first, published, then deployed.
However, the project developer told me that after the .NET build, he just copies/deploys the generated AngularOutput artifacts to the Azure app service.
I tested it that way with archive task then publish, and the CI pipeline worked just fine. However, I also tested out publishing directly without prior archiving, and i changed the path to \Bundles\AngularOutput
, and the publish step succeeded just fine and displayed the published artifacts
So the question is, if publish works without zipping/archiving first, then can I directly deploy after the artifacts are published? and if so, what needs to be specified for the Azure App Service Deploy task: Package/Folder
?
If archiving task is necessary/recommended, thats fine, but does that means Azure App Service deploy will automatically extract the zipped up artifact?
...ANSWER
Answered 2021-May-14 at 11:58First of all, yes you can publish your artifact without actually publishing them on the pipeline as artifact. However, if you publish them on the pipeline and have build and release pipelines separate you can redeploy without rebuilding your app.
Also you can always download artifact and publish it manually if where is a need for that. (some development/debug purposes for instance).
And Zip deploy
method
which is used here
Creates a .zip deployment package of the chosen Package or folder and deploys the file contents to the wwwroot folder of the App Service name function app in Azure. This option overwrites all existing contents in the wwwroot folder. For more information, see Zip deployment for Azure Functions.
so if you need to deploy it from the build pipeline you can just put path to your zip file or to folder file where the content is.
And please consider multi stage pipeline where you can separate build and deploy phases among stages. However, in this case you need to publish your artifact as a pipeline artifact. And this pipeline artifact will be downloaded automatically on deployment
job.
QUESTION
I built the Apache Oozie 5.2.1 from the source code in my MacOS and currently having trouble running it. The ClassNotFoundException indicates a missing class org.apache.hadoop.conf.Configuration but it is available in both libext/ and the Hadoop file system.
I followed the 1st approach given here to copy Hadoop libraries to Oozie binary distro. https://oozie.apache.org/docs/5.2.1/DG_QuickStart.html
I downloaded Hadoop 2.6.0 distro and copied all the jars to libext before running Oozie in addition to other configs, etc as specified in the following blog.
https://www.trytechstuff.com/how-to-setup-apache-hadoop-2-6-0-version-single-node-on-ubuntu-mac/
This is how I installed Hadoop in MacOS. Hadoop 2.6.0 is working fine. http://zhongyaonan.com/hadoop-tutorial/setting-up-hadoop-2-6-on-mac-osx-yosemite.html
This looks pretty basic issue but could not find why the jar/class in libext is not loaded.
- OS: MacOS 10.14.6 (Mojave)
- JAVA: 1.8.0_191
- Hadoop: 2.6.0 (running in the Mac)
ANSWER
Answered 2021-May-09 at 23:25I was able to sort the above issue and few other ClassNotFoundException by copying the following jar files from extlib to lib. Both folder are in oozie_install/oozie-5.2.1.
- libext/hadoop-common-2.6.0.jar
- libext/commons-configuration-1.6.jar
- libext/hadoop-mapreduce-client-core-2.6.0.jar
- libext/hadoop-hdfs-2.6.0.jar
While I am not sure how many more jars need to be moved from libext to lib while I try to run an example workflow/job in oozie. This fix brought up Oozie web site at http://localhost:11000/oozie/
I am also not sure why Oozie doesn't load the libraries in the libext/ folder.
QUESTION
I had the same problem config.kit.adapter should be an object with an "adapt" method and was able to fix it with
npm i @sveltejs/adapter-node@next
It would be nice to get the documentation up to date. But now there is a problem with "start".
npm run start
does not work anymore. A few weeks ago it was working. I get:
"svelte-kit preview" will now preview your production build locally. Note: it is not intended for production use
Ok, but how do I start my production node-server now?
...ANSWER
Answered 2021-May-09 at 14:00After the code goes through adapter run the app with node ./build/index.js
command in production.
In case the index.js
is missing, the entrypoint for the app is different and the command above needs to be adjusted accordingly.
QUESTION
I am all new to Kubernetes and currently setting up a Kubernetes Cluster inside of Azure VMs. I want to deploy Windows containers, but in order to achieve this I need to add Windows worker nodes. I already deployed a Kubeadm cluster with 3 master nodes and one Linux worker node and those nodes work perfectly.
Once I add the Windows node all things go downward. Firstly I use Flannel as my CNI plugin and prepare the deamonset and control plane according to the Kubernetes documentation: https://kubernetes.io/docs/tasks/administer-cluster/kubeadm/adding-windows-nodes/
Then after the installation of the Flannel deamonset, I installed the proxy and Docker EE accordingly.
Used Software Master NodesOS: Ubuntu 18.04 LTS
Container Runtime: Docker 20.10.5
Kubernetes version: 1.21.0
Flannel-image version: 0.14.0
Kube-proxy version: 1.21.0
OS: Windows Server 2019 Datacenter Core
Container Runtime: Docker 20.10.4
Kubernetes version: 1.21.0
Flannel-image version: 0.13.0-nanoserver
Kube-proxy version: 1.21.0-nanoserver
I wanted to see a full cluster ready to use and with all the needed in the Running
state.
After the installation I checked if the installation was successful:
...ANSWER
Answered 2021-May-07 at 12:21Are you still having this error? I managed to fix this by downgrading windows kube-proxy to at least 1.20.0. There must be some missing config or bug for 1.21.0.
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