Build your dependencies once, run everywhere The benefits of Docker for Apache Spark 1. In this article, we will illustrate the benefits of Docker for Apache Spark by going through the end-to-end development cycle used by many of our users at Spot by NetApp. Native support for Docker is in fact one of the main reasons companies choose to deploy Spark on top of Kubernetes instead of YARN. The Spark-on-Kubernetes project received a lot of backing from the community, until it was declared Generally Available and Production Ready as of Apache Spark 3.1 in March 2021. The dominant cluster manager for Spark, Hadoop YARN, did not support Docker containers until recently (Hadoop 3.1 release), and even today the support for Docker remains “experimental and non-complete”. In the big data and Apache Spark scene, most applications still run directly on virtual machines without benefiting from containerization.
The popularity of Kubernetes as the new standard for container orchestration and infrastructure management follows from the popularity of Docker.
#CLOUDERA DOCKER ON MAC SOFTWARE#
The software engineering world has fully adopted Docker, and a lot of tools around Docker have changed the way we build and deploy software – testing, CI/CD, dependency management, versioning, monitoring, security. + chmod +x assets/generate-proxy-deploy-script.The benefits that come with using Docker containers are well known: they provide consistent and isolated environments so that applications can be deployed anywhere – locally, in dev / testing / prod environments, across all cloud providers, and on-premise – in a repeatable way. + mv -f assets/generate-proxy-deploy-script.sh.new assets/generate-proxy-deploy-script.sh + sed s/sandbox-hdp-security/sandbox-hdp/g assets/generate-proxy-deploy-script.sh + docker exec -t sandbox-hdp sh -c 'rm -rf /var/run/postgresql/* systemctl restart postgresql-9.6.service 'įailed to get D-Bus connection: No such file or directory + echo ' Remove existing postgres run files. Status: Downloaded newer image for hortonworks/sandbox-hdp:3.0.1 I see during step 3 execution the log has triggered an error, below the detailed info v $absPath/assets/nf:/etc/nginx/nf \\Īfter doing the changes triggered the command from Terminal
There's docker run in line 204, added a platform switch after it like thisĭocker run -name sandbox-proxy -network=cda \\ Navigated to assets/generate-proxy-deploy-script.sh in an editor & scrolled to the bottom. I have updated the docker-deploy-hdp30.sh in a editor and modified following line: Status: Downloaded newer image for alpine:latest The output should be something like this: You can test with alpine - very small linux docker container.ĭocker run -rm -ti -platform linux/amd64 alpine:latest uname -a
#CLOUDERA DOCKER ON MAC FOR MAC#
Macbook air M1 Official Cloudera Installation directoryīefore running the step by step installation i have tweaked the script in order to fit for Mac M1įirst validate if Rosetta2 is configured correctly. After some research googling/stackoverflow/blogs/medium i got a way to try to run the Docker image on Mac m1 Ram - i have set 10 gb
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