docker-spark | Apache Spark docker container image | Continuous Deployment library

 by   actionml Shell Version: Current License: Apache-2.0

kandi X-RAY | docker-spark Summary

kandi X-RAY | docker-spark Summary

docker-spark is a Shell library typically used in Devops, Continuous Deployment, Docker, Spark applications. docker-spark has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Apache Spark docker container image (Standalone mode)
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              docker-spark has a low active ecosystem.
              It has 33 star(s) with 17 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of docker-spark is current.

            kandi-Quality Quality

              docker-spark has 0 bugs and 0 code smells.

            kandi-Security Security

              docker-spark has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              docker-spark code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              docker-spark is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              docker-spark releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            docker-spark Key Features

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            docker-spark Examples and Code Snippets

            No Code Snippets are available at this moment for docker-spark.

            Community Discussions

            QUESTION

            Unable to set environment variable inside docker container when calling sh file from Dockerfile CMD
            Asked 2021-Aug-16 at 14:09

            I am following this link to create a spark cluster. I am able to run the spark cluster. However, I have to give an absolute path to start spark-shell. I am trying to set environment variables i.e. PATH and a few others in start-shell.sh. However, it's not setting that inside container. I tried printing it using printenv inside the container. But these variables are never reflected.

            Am I trying to set environment variables incorrectly? Spark cluster is running successfully though.

            I am using docker-compose.yml to build and recreate an image and container.

            docker-compose up --build

            Dockerfile ...

            ANSWER

            Answered 2021-Aug-16 at 14:09

            There are a couple of different ways to set environment variables in Docker, and a couple of different ways to run processes. A container normally runs one process, which is controlled by the image's ENTRYPOINT and CMD settings. If you docker exec a second process in the container, that does not run as a child process of the main process, and will not see environment variables that are set by that main process.

            In the setup you show here, the start-spark.sh script is the main container process (it is the image's CMD). If you docker exec your-container printenv, it will see things set in the Dockerfile but not things set in this script.

            Things like filesystem paths will generally be fixed every time you run the container, no matter what command you're running there, so you can specify these in the Dockerfile

            Source https://stackoverflow.com/questions/68802116

            QUESTION

            How to access scala shell using docker image for spark
            Asked 2021-Aug-16 at 08:53

            I just downloaded this docker image to set up a spark cluster with two worker nodes. Cluster is up and running however I want to submit my scala file to this cluster. I am not able to start spark-shell in this.

            When I was using another docker image, I was able to start it using spark-shell. Can someone please explain if I need to install scala separately in the image or there is a different way to start

            UPDATE

            Here is the error bash: spark-shell: command not found

            ...

            ANSWER

            Answered 2021-Aug-16 at 08:53

            You're getting command not found because PATH isn't correctly established

            Use the absolute path /opt/spark/bin/spark-shell

            Also, I'd suggest packaging your Scala project as an uber jar to submit unless you have no external dependencies or like to add --packages/--jars manually

            Source https://stackoverflow.com/questions/68797199

            QUESTION

            spark app socket communication between container on docker spark cluster
            Asked 2020-Dec-21 at 09:24

            So I have a Spark cluster running in Docker using Docker Compose. I'm using docker-spark images.

            Then i add 2 more containers, 1 is behave as server (plain python) and 1 as client (spark streaming app). They both run on the same network.

            For server (plain python) i have something like

            ...

            ANSWER

            Answered 2020-Dec-20 at 16:17

            Okay so i found that i can use the IP of the container, as long as all my containers are on the same network. So i check the IP by running

            Source https://stackoverflow.com/questions/65340921

            QUESTION

            Docker Images - What are these layers?
            Asked 2020-Sep-03 at 23:39

            I am looking at this image and it seems the layers are redundant and these redundant layers ended up in the image ? If they are , how they ended up in the image leading to large amount of space ? How could i strip these layers ?

            https://microbadger.com/images/openkbs/docker-spark-bde2020-zeppelin:latest

            ...

            ANSWER

            Answered 2020-Sep-03 at 23:39

            What you are seeing are not layers, but images that were pushed to the same registry. Basically, those are the different versions of one image.

            In a repository, each image is accessible through an unique ID, its SHA value. Furthermore, one can tag images with convenient names, e.g. V1.0 or latest. These tags are not fixed, however. When an image is pushed with a tag that is already assigned to another image, the old image loses the tag and the new image gains it. Thus, a tag can move from one image to another. The tag latest is no exception. It has, however, one special property: the tag is always assigned to the most recently pushed version of an image.

            The person/owner of the registry has pushed new versions of the image and not tagged the old versions. Thus, all old versions show up as "untagged".

            If we pull a specific image, we will receive this image and this image only, not the complete registry.

            Source https://stackoverflow.com/questions/63655488

            QUESTION

            Docker - sharing layers between images
            Asked 2020-Aug-30 at 13:52

            I downloaded two images and the sizes are as follows :

            ...

            ANSWER

            Answered 2020-Aug-30 at 13:04

            Yes, same layers are "shared". Docker using hashes (including filesystem and commands) to identify these layers.

            So docker shows you the size of the images (including the base-images) but that doesn't mean that they needs the same disk space.

            Source https://stackoverflow.com/questions/63657644

            QUESTION

            Unable to access Spark nodes in Docker
            Asked 2020-Jul-22 at 16:45

            I am using this setup (https://github.com/mvillarrealb/docker-spark-cluster.git) to established a Spark Cluster but none of the IPs mentioned there like 10.5.0.2 area accessible via browser and giving timeout. I am unable to figure out what's wrong am I doing?

            I am using Docker 2.3 on macOS Catalina.

            In the spark-base Dockerfile I am using the following settings instead of one given there:

            ...

            ANSWER

            Answered 2020-Jul-22 at 16:45

            The Dockerfile tells the container what port to expose.
            The compose-file tells the host which ports to expose and to which ports should be the traffic forwarded inside the container.
            If the source port is not specified, a random port should be generated. This statement helps in this scenario because you have multiple workers and you cannot specify a unique source port for all of them - this would result in a conflict.

            Source https://stackoverflow.com/questions/63035419

            QUESTION

            Copying avro jars into docker jars directory
            Asked 2020-Apr-17 at 23:28

            I'm learning spark I'd like to use an avro data file as avro is external to spark. I've downloaded the jar. But my problem is how to copy it into that specific place 'jars dir' into my container? I've read relative post here but I do not understand.

            I've see also this command below from spark main website but I think I need the jar file copied before running it.

            ...

            ANSWER

            Answered 2020-Apr-17 at 23:28

            Quoting docker cp Documentation,

            docker cp SRC_PATH CONTAINER:DEST_PATH

            If SRC_PATH specifies a file and DEST_PATH does not exist then the file is saved to a file created at DEST_PATH

            From the command you tried,

            The destination path /jars does not exist in the container since the actual destination should have been /usr/spark-2.4.1/jars/. Thus the jar was copied to the container with the name jars under the root (/) directory.

            Try this command instead to add the jar to spark jars,

            Source https://stackoverflow.com/questions/61282034

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install docker-spark

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/actionml/docker-spark.git

          • CLI

            gh repo clone actionml/docker-spark

          • sshUrl

            git@github.com:actionml/docker-spark.git

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