Skip to content

Collection of tools for bootstrapping Apache Ambari & deploying clusters

Notifications You must be signed in to change notification settings

agilemobiledev/ambari-bootstrap

 
 

Repository files navigation

ambari-bootstrap

Collection of tools for bootstrapping Apache Ambari & deploying clusters

There are several tools:

  • ambari-bootstrap.sh - script which installs & configures Ambari along with it's pre-requisites.
  • ./deploy/ - tools to quickly deploy clusters using Ambari
  • ./providers/ - tools for various infrastructure/Cloud providers

ambari-bootstrap.sh

Purpose

Install & configure ambari-agent and/or ambari-server along with any pre-requisites.

Supports:

  • RedHat Enterprise Linux & CentOS 6
  • Planned support: Ubuntu. Welcoming contribution for any others

Requires:

  • 'root' or 'sudo' access
  • Internet access and functioning yum/apt repositories.

Usage

  • Quick start (ambari-agent only):

    • Fetch and then execute: sudo sh ./ambari-bootstrap.sh
    • Or, if you trust me: curl -sSL https://raw.githubusercontent.com/seanorama/ambari-bootstrap/master/ambari-bootstrap.sh | sudo -E sh
  • With options (showing install of Ambari agent, server, Oracle Java, and registering to an Ambari Server such that SSH keys aren't required)

    export install_ambari_agent=true
    export install_ambari_server=true
    export java_provider=oracle
    export ambari_server=myserver.domain.local
    sudo sh ./ambari-bootstrap.sh
    

Configuration

By default the script runs with these parameters:

install_ambari_agent=true   ## Install the ambari-agent package.
install_ambari_server=false ## Install the ambari-server package.
java_provider=open          ## Which Java provider to use ('open' or 'oracle').
ambari_server=localhost     ## Hostname of the Ambari Server.
                            ##   Allowing agents to register themselves with the
                            ##   server so you do not need to distribute SSH keys.
ambari_version=1.7.0        ## Used to determine which repo/source to get packages from.
                            ##   Only tested with 1.7.0
ambari_repo=...             ## The ambari.repo file to use for yum. See file for default
                            ##   and change at your own risk.

Questions

I need to run this against a large number of hosts

There are a few options:

a. If the servers are deployed through automation (such as with CloudProviders), you can include it in that orchestration. See ./providers/aws/ for an example. b. Pass the script to the servers a distributed ssh tool, such as pdsh. You could do this directly with SSH but ‘pdsh’ is more efficient.

bootstrap_url=https://raw.githubusercontent.com/seanorama/ambari-bootstrap/master/ambari-bootstrap.sh
ambari_server=p-workshop-ops01.cloud.hortonworks.com  ## this is the internal hostname of the ambari_server. Likely different than the host you will SSH too.

## install the ambari-server
pdsh -w [email protected] "curl -sSL ${bootstrap_url} | install_ambari_server=true sh"

## install to all other nodes. See ‘man pdsh’ for the various ways you can specify hosts.
pdsh -w p-workshop-ops0[2-4].cloud.hortonworks.com "curl -sSL ${bootstrap_url} | ambari_server=${ambari_server} sh"

I want to install Ambari & then deploy HDP using blueprints

After deploying the server & agents, you can quickly deploy HDP using Ambari Blueprints. See more in ./api-examples/.

Alternatively, use the script from ./deploy/ to generate an Ambari Blueprint and deploy the cluster.

For example, this will deploy to a single node & then deploy with all HDP services which are supported by Ambari Blueprints.

yum -y install git python-argparse
git clone https://github.com/seanorama/ambari-bootstrap
cd ambari-bootstrap
export install_ambari_server=true
./ambari-bootstrap.sh
cd deploy
bash ./deploy-recommended-cluster.bash

If deploying to multiple nodes, install to all of the agent machines 1st, as described earlier, and then run the above on the server.

Contacts

About

Collection of tools for bootstrapping Apache Ambari & deploying clusters

Resources

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Jupyter Notebook 67.6%
  • Shell 20.8%
  • Python 11.6%