hadoop-cluster-docker | Run Hadoop Custer within Docker Containers | Continuous Deployment library
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kandi X-RAY | hadoop-cluster-docker Summary
Run Hadoop Custer within Docker Containers
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QUESTION
I am newer in big data domain, and this is my first time using Docker. I just found this amazing project: https://kiwenlau.com/2016/06/26/hadoop-cluster-docker-update-english/ which create a hadoop cluster composed of one master and two slaves using Docker.
After doing all the installation, I just run containers and they work fine. There is start-containers.sh file which give me the hand to lunch the cluster. I decide to install some tools like sqoop to import my local relational data base to Hbase, and that's work fine. After that I stop all Docker container in my pc by tapping
...ANSWER
Answered 2019-Nov-07 at 20:51I am not sure if I understood the mentioned problems with restarting containers correctly. Thus in the following, I try to concentrate on potential issues I can see from the script and error messages:
When starting containers without --rm
, they will remain in place after being stopped. If one tries to run
a container with same port mappings or same name (both the case here!) afterwards that fails due to the container already being existent. Effectively, no container will be started in the process. To solve this problem, one should either re-create containers everytime (and store all important state outside of the containers) or detect an existing container and start it if existent. With names it can be as easy as doing:
QUESTION
I try to use Hadoop with Docker Toolbox on Windows 10 Family. So I followed this setup : https://linoxide.com/cluster/setup-single-node-hadoop-cluster-docker/
- Download the image --> OK.
- Run the container --> OK.
ANSWER
Answered 2018-Nov-17 at 06:07At the very least, you need to expose the port.
docker run -it -p 50070:50070 sequenceiq/hadoop-docker:2.7.1
Then, if you want to continue using the old Docker Toolbox (that linked post was created in 2016, before Docker for Windows existed), you need to not use ifconfig
, but rather docker-machine ip
from Windows, not the container
Personally, I use Docker Compose
QUESTION
I have a docker image for hadoop. (in my case it is https://github.com/kiwenlau/hadoop-cluster-docker) I do the job step by step according to this blog. And I can run the docker and Hadoop successfully. However, when I try to put some file in host machine to test the WordCount test in Hadoop. When I run
...ANSWER
Answered 2018-Jun-16 at 03:21What you need to realize is that the Hadoop instance is running in an environment that is entirely different from the host environment. So the second you run the sudo ./start-container.sh
command which is mentioned in the GitHub repository that you're following, you're ideally creating a new subsystem which is independent of your host Operating System ( that contains files under /home/ke/code
). Unfortunately in this case the Hadoop Disk File System ( HDFS ) is running inside the newly created subsystem ( known as Docker Container ) and the files you wish to transfer are present elsewhere ( in the host OS).
There is however a fix that you might be able to do to make it work out.
Edit the
start-container.sh
in this way : Edit the lines 10-16 responsible for starting the hadoop master container to this :-
QUESTION
I have a docker image for hadoop. (in my case it is https://github.com/kiwenlau/hadoop-cluster-docker, but the question applies to any hadoop docker image)
I am running the docker container as below..
...ANSWER
Answered 2017-Oct-16 at 13:28You should inspect the dfs.datanode.data.dir
in the hdfs-site.xml file to know where data is stored to the container filesystem
QUESTION
I have a docker image for spark + jupyter (https://github.com/zipfian/spark-install)
I have another docker image for hadoop. (https://github.com/kiwenlau/hadoop-cluster-docker)
I am running 2 containers from the above 2 images in Ubuntu. For the first container: I am able to successfully launch jupyter and run python code:
...ANSWER
Answered 2017-Oct-07 at 00:04The URI hdfs:///user/root/input/test
is missing an authority (hostname) section and port. To write to hdfs in another container you would need to fully specify the URI and make sure the two containers were on the same network and that the HDFS container has the ports for the namenode and data node exposed.
For example, you might have set the host name for the HDFS container to be hdfs.container
. Then you can write to that HDFS instance using the URI hdfs://hdfs.container:8020/user/root/input/test
(assuming the Namenode is running on 8020). Of course you will also need to make sure that the path you're seeking to write has the correct permissions as well.
So to do what you want:
- Make sure your HDFS container has the namenode and datanode ports exposed. You can do this using an
EXPOSE
directive in the dockerfile (the container you linked does not have these) or using the--expose
argument when invokingdocker run
. The default ports are 8020 and 50010 (for NN and DN respectively). - Start the containers on the same network. If you just do
docker run
with no--network
they will start on the default network and you'll be fine. Start the HDFS container with a specific name using the--name
argument. - Now modify your URI to include the proper authority (this will be the value of the docker
--name
argument you passed) and port as described above and it should work
QUESTION
I have docker container (Hadoop installation https://github.com/kiwenlau/hadoop-cluster-docker) that I can run using sudo docker run -itd -p 50070:50070 -p 8088:8088 --name hadoop-master kiwenlau/hadoop:1.0
command without any issue, however when trying to deploy same image to kubernetes, pod failing to start. In order to create deployment I'm using kubectl run hadoop-master --image=kiwenlau/hadoop:1.0 --port=8088 --port=50070
command
Here log of describe pod command
...ANSWER
Answered 2017-Oct-02 at 14:53The equivalent command in kubernetes is
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