markmims/cdh repository overview

⁠A Docker Image for Cloudera Quickstart

Run the CDH Quick Start image in a docker container.

The latest CDH release is on master and pinned versions can be found on dedicated branches.

⁠Install

This image is somewhat large, so you might want to do a separate

docker pull svds/cdh

to install.

⁠Use

Spin it up with

docker run -td svds/cdh

get the container id from

docker ps

watch logs with

docker logs -f <container_id>

attach to the container with

docker exec -it <container_id> bash -l

then run any of the usual cdh commands

hadoop fs -ls /
impala-shell
hbase shell
spark-submit

etc.

⁠Components

• Apache Hadoop (Common, HDFS, MapReduce, YARN)
• Apache HBase
• Apache ZooKeeper
• Apache Oozie
• Apache Hive
• Hue (Apache licensed)
• Apache Flume
• Cloudera Impala (Apache licensed)
• Apache Sentry
• Apache Sqoop
• Cloudera Search (Apache licensed)
• Apache Spark

⁠Links

Pull the image on Docker Hub: https://registry.hub.docker.com/u/svds/cdh⁠

Github page: https://github.com/silicon-valley-data-science/docker-cdh⁠

Cloudera Documentation⁠

⁠Credits

This image started life as a modified fork of caioquirino/docker-cloudera-quickstart⁠ and is now curated by the Silicon Valley Data Science engineering team.