A terraform module to create and manage an Apache Spark cluster on AWS.
Terraform and AWS Command Line Interface tools need to be installed on your local computer.
A previously build AMI base image with Apache Spark is required.
Terraform version 0.8 or higher is required.
Terraform installation instructions can be found here.
AWS Command Line Interface installation instructions can be found here.
This module requires that an AMI base image with Apache Spark built using the recipe from this project to already exist in your AWS account.
That AMI ID is the one that should be used as the value for the required
ami_id variable.
If you wish to register the instances FQDN, the AWS Route53 service is also required to be enabled and properly configured.
To register the instances FQDN on AWS Route53 service you need to set the private_zone_id and/or public_zone_id variable(s).
ami_id- [required] The id of the AMI to use for the instance(s). See the Apache Spark AMI section for more information.associate_public_ip_address- Associate a public IP address to the Apache Spark Master instance(s). [default value: false]domain- [required] The domain name to use for the Apache Spark instance(s).extra_security_group_id- Extra security group to assign to the Apache Spark instance(s) (e.g.: 'sg-3f983f98'). [default value: '']keyname- [required] The SSH key name to use for the Apache Spark instance(s).name- The main name that will be used for the Apache Spark instance(s). [default value: 'spark'] [comment]: # (-number_of_masters- Number of Apache Spark Master instances. NOT USED YET." [default value: 1].)prefix- A prefix to prepend to the Apache Spark instance(s) name. [default value: '']private_zone_id- The ID of the hosted zone for the private DNS record(s). [default value: '']public_zone_id- The ID of the hosted zone for the public DNS record(s). Requiresassociate_public_ip_addressto be set to 'true'. [default value: '']spark_master_heap_size- The heap size for the Apache Spark Master instance(s) (e.g.: '1G'). [default value: '']spark_master_instance_type- The type of instance to use for the Apache Spark Master instance(s). [default value: 't2.small']spark_master_root_volume_iops- The amount of provisioned IOPS (for 'io1' type only). [default value: 0]spark_master_root_volume_size- The volume size in gigabytes. [default value: '8']spark_master_root_volume_type- The volume type. Must be one of 'standard' (magnetic), 'gp2' (general purpose SSD), or 'io1' (provisioned IOPS SSD). [default value: 'gp2']spark_worker_heap_size- The heap size for the Apache Spark Worker instance(s) (e.g.: '1G'). [default value: '']spark_worker_instance_type- The type of instance to use for the Apache Spark Worker instance(s). [default value: 't2.small']spark_worker_max_instances- Maximum number of Apache Spark Worker instances in the cluster. [default value: '1']spark_worker_min_instances- "Minimum number of Apache Spark Worker instances in the cluster. [default value: '1']spark_worker_root_volume_iops- The amount of provisioned IOPS (for 'io1' type only). [default value: 0]spark_worker_root_volume_size- The volume size in gigabytes. [default value: '8']spark_worker_root_volume_type- The volume type. Must be one of 'standard' (magnetic), 'gp2' (general purpose SSD), or 'io1' (provisioned IOPS SSD). [default value: 'gp2']subnet_ids- [required] List of Subnet IDs to launch the instance(s) in (e.g.: ['subnet-0zfg04s2','subnet-6jm2z54q']).ttl- The TTL (in seconds) for the DNS record(s). [default value: '600']vpc_id- [required] The VPC ID for the security group(s).
module "my_spark_cluster" {
source = "github.com/fscm/terraform-module-aws-spark"
ami_id = "ami-gxrd5hz0"
domain = "mydomain.tld"
keyname = "my_ssh_key"
name = "spark"
prefix = "mycompany-"
private_zone_id = "Z3K95H7K1S3F"
spark_worker_max_instances = "3"
spark_worker_min_instances = "2"
subnet_ids = ["subnet-0zfg04s2", "subnet-6jm2z54q"]
vpc_id = "vpc-3f0tb39m"
}master_fqdn- [type: list] List of FQDNs of the Apache Spark Master instance(s).master_hostname- [type: list] List of hostnames of the Apache Spark Master instance(s).master_id- [type: list] List of IDs of the Apache Spark Master instance(s).master_ip- [type: list] List of private IP address of the Apache Spark Master instance(s).security_group- [type: string] ID of the security group to be added to every instance that requires access to the Apache Spark Cluster.ssh_key- [type: string] The name of the SSH key used.
This modules provides a security group that will allow access to the Apache Spark cluster instances.
That group will allow access to the following ports to all the AWS EC2 instances that belong to the group:
| Service | Port | Protocol |
|---|---|---|
| Spark Application | 4040 | TCP |
| Spark REST Server | 6066 | TCP |
| Spark Master | 7077 | TCP |
| Spark Master UI | 8080 | TCP |
| Spark Worker UI | 8081 | TCP |
If access to other ports (like the SSH port) is required, you can create your
own security group and add it to the Apache Spark cluster instances using the
extra_security_group_id variable.
- Fork it!
- Create your feature branch:
git checkout -b my-new-feature - Commit your changes:
git commit -am 'Add some feature' - Push to the branch:
git push origin my-new-feature - Submit a pull request
Please read the CONTRIBUTING.md file for more details on how to contribute to this project.
This project uses SemVer for versioning. For the versions available, see the tags on this repository.
- Frederico Martins - fscm
See also the list of contributors who participated in this project.
This project is licensed under the MIT License - see the LICENSE file for details
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