Configure Spark cluster using Ansible: Difference between revisions
Line 50: | Line 50: | ||
=== Configure SSH === | === Configure SSH === | ||
You can use the ''blockinfile'' module to add your local ''ipv4-hosts'' to ''/etc/hosts'' on each node: | You can use the ''blockinfile'' module to add your local ''ipv4-hosts'' to ''/etc/hosts'' on each node: | ||
- name: Copy IPv4 addresses to /etc/hosts | - name: Copy IPv4 addresses to /etc/hosts | ||
ansible.builtin.blockinfile: | ansible.builtin.blockinfile: | ||
path: /etc/hosts | path: /etc/hosts | ||
block: "{{ lookup('file', 'ipv4-hosts') }}" | block: "{{ lookup('file', 'ipv4-hosts') } }" | ||
become: yes | become: yes | ||
''Note:'' There should not be a space between the two curly braces at the end of the ''key:'' line. But without the space, WikiText misinterprets them as a template marker. | |||
On your local machine, create the file ''config'' in your ''exercise-5'' folder: | On your local machine, create the file ''config'' in your ''exercise-5'' folder: |
Revision as of 11:40, 29 October 2022
Install and configure Ansible
On your local host, install Ansible, for example:
sudo apt install ansible
To prepare:
sudo cp /etc/ansible/hosts /etc/ansible/hosts.original sudo chmod 666 /etc/ansible/hosts
Ansible needs to know the names of your cluster machines. Change info319-cluster.tf so it also writes a file like this to /etc/ansible/hosts:
terraform-driver terraform-worker-0 ... terraform-worker-5
Finally, Ansible must be installed on all the hosts too. Add the line
- ansible
to the packages: section of user-data.cfg, and re-run terraform apply.
Test run Ansible
Make sure you can log into your cluster machines without a password. Test your Ansible set up from your local machine:
ansible all -m ping
On your local machine, create the file info319-cluster.yaml with a simple task: - name: Prepare .bashrc
hosts: all tasks:
- name: Save original .bashrc ansible.builtin.copy: src: /home/ubuntu/.bashrc dest: /home/ubuntu/.bashrc.original remote_src: yes
Run Ansible:
ansible-playbook info319-cluster.yaml
Create Ansible playbook
Extend the playbook file info319-cluster.yaml to re-create the setup from Exercise 4 on the new Terraform cluster. You have some freedom with respect to the order of things.
Preparing .bashrc
In Exercise 4 we made a lot of modifications to ~/.bashrc. In some cases it is more practical to have the cluster configuration in a separate file, for example ~/.info319.
- Add a task that uses the ansible.builtin.file module to create ("touch") /home/ubuntu/.info319 on all the hosts.
- Add a task that uses the ansible.builtin.lineinfile module to add this line to /home/ubuntu/.info319 on all the hosts:
source .info319
See the documentation here: https://docs.ansible.com/ansible/latest/collections/index.html, for example https://docs.ansible.com/ansible/latest/collections/ansible/builtin/lineinfile_module.html.
Configure SSH
You can use the blockinfile module to add your local ipv4-hosts to /etc/hosts on each node:
- name: Copy IPv4 addresses to /etc/hosts ansible.builtin.blockinfile: path: /etc/hosts block: "{{ lookup('file', 'ipv4-hosts') } }" become: yes
Note: There should not be a space between the two curly braces at the end of the key: line. But without the space, WikiText misinterprets them as a template marker.
On your local machine, create the file config in your exercise-5 folder:
Host terraform-* localhost User ubuntu IdentityFile ~/.ssh/info319-spark-cluster StrictHostKeyChecking no UserKnownHostsFile /dev/null Include ~/.ssh/config.terraform-hosts
(This is the config.stub file from Exercise 4, with the Include line added. Also, localhost has been added to the first line to allow nodes to ssh themselves...)
Use the copy module to upload this file, along with ~/.ssh/config.terraform-hosts and ~/.ssh/info319-spark-cluster to all hosts.
In addition to uploading the config and private key files, you must also authorise the public info319-spark-cluster.pub key, like this:
- name: Authorise public cluster key ansible.posix.authorized_key: key: "{{ lookup('file', '/home/YOUR_USERNAME/.ssh/info319-spark-cluster.pub') } }" user: ubuntu
Tip: ansible-playbook has a --start-at-task "Task name" option to avoid repeating all earlier blocks and stages. You can also use --step to have Ansible ask before each step whether to execute, skip, or finish.
Install Java
Use Ansible's ansible.builtin.apt module and install an old and stable Java version, for example openjdk-8-jdk-headless.
Mount volumes
Using the community.general.parted, community.general.filesystem and ansible.posix.mount modules from your local machine may require installation:
ansible-galaxy collection install community.general ansible-galaxy collection install ansible.posix
Install HDFS and YARN
You can download the Hadoop and later Spark archives directly to each cluster host. But if you re-run your script many times, it takes time and can trigger rate limitations in the download hosts. If so, it is better to let Ansible download each archive once to your local machine and then copy it onto the hosts as needed.
Change the variable syntax in the files {core,hdfs,mapred,yarn}-site.xml from Exercise 4 from Linux to Ansible. For example
- from core-site.xml:
<configuration> <property> <name>fs.defaultFS</name> <value>hdfs://${HADOOP_NAMENODE}:9000</value> </property> </configuration>
- to core-site.xml.j2:
<configuration> <property> <name>fs.defaultFS</name> <value>hdfs://{{ hadoop_namenode } }:9000</value> </property> </configuration>
You can now use the ansible.builtin.template module instead of Linux' envsubst command.
hdfs namenode -format has got a -nonInteractive option that does not re-format an already formatted namenode.
Now you can log into terraform-driver and test run HDFS on the cluster as in Exercise 4.