To run container you need to install docker and then execute:
docker run -it --rm -v YYYYYY:/home/jovyan --p XXXX:8888 bigdatateam/rt-course4
-it allows to see the information from the container
--rm means that the container will be deleted after exiting/terminating
-v means that the files from the Jupyter of the container will be transferred to the local file system directory YYYYYY
YYYYYY - a local path, for example, for Linux $(pwd)/bigdata, $(pwd) - the path to the current directory
(--rm and -v YYYYYY:/home/jovyan/dir_on_host can be safely removed if it is not needed.)
-p XXXX:8888 allows to connect to the Jupyter of the container on 127.0.0.1:XXXX or localhost:XXXX, XXXX - a port number of the local system
-p AAAA:4040 allows to connect to the Spark web UI of the container on 127.0.0.1:AAAA or localhost:AAAA, AAAA - a port number of the local system (if you do not need this UI, delete this option)
For more options see the "docker run" documentation page.
Content type
Image
Digest
Size
2 GB
Last updated
over 7 years ago
docker pull bigdatateam/rt-course4