This takes some time again, so you need to be patient here. In order to get them to work, you need to restart them. You might see that most of your services are somewhat red. You are now re-directed to your administration interface and should see the following screen: HDP 3.0 with Ambari Enter “admin” and your password (the one you reset in the step before). Now, you should see the Ambari Login screen. To access your hdp, use your local ip (127.0.0.1) with port 8080. After that, you are ready to use HDP 3.0. Now re-type the passwords and the services will re-start. To do this, you need to SSH into the machine with the following command: docker exec -it sandbox-hdp /bin/bashĮxecute the following command: ambari-admin-password-reset The next step is to change the admin password in your image. If you have whitespaces in your directories, you need to edit the HDP proxy sh file (e.g. The script also installs the HDP proxy tool, which might cause some errors. This takes some time, as it is several GB in size – so be patient! After that, the script pulls several repositories. Once you have finished the download, execute the Docker file (on Linux and Mac: docker-deploy-hdp30.sh). As of writing this article, the current version of HDP (Hortonworks Data Platform) is 3.0. Once done, download the Hortonworks image from Īs an install type, select “Docker” and make sure that you have the latest version. Then, we can get started to setup the Hortonworks Sandbox with Docker.įollow the installation routine throughout, it is easy and straight forward. To get started, download the latest Docker environment for your computer/mac. We use this, as it is the easiest way (and you don’t need to install any VM tools). Hortonworks is delivered via different VMs or also as a Docker container. There is no need for additional setup or installations.
Hortonworks is one of the Hadoop distributions (next to Cloudera and MapR) and a pre-configured environment. In the following tutorials, we will use the Hortonworks Sandbox to use Hive. We have learned about the basics of Hive in the previous tutorial.
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