Skip to content

snowplow-devops/terraform-aws-redshift-loader-ec2

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

19 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Release CI License Registry Source

terraform-aws-redshift-loader-ec2

A Terraform module which deploys the Snowplow Redshift Loader on an EC2 node.

Telemetry

This module by default collects and forwards telemetry information to Snowplow to understand how our applications are being used. No identifying information about your sub-account or account fingerprints are ever forwarded to us - it is very simple information about what modules and applications are deployed and active.

If you wish to subscribe to our mailing list for updates to these modules or security advisories please set the user_provided_id variable to include a valid email address which we can reach you at.

How do I disable it?

To disable telemetry simply set variable telemetry_enabled = false.

What are you collecting?

For details on what information is collected please see this module: https://github.com/snowplow-devops/terraform-snowplow-telemetry

Usage

Redshift Loader loads shredded events from S3 bucket to Redshift.

For more information on how it works, see this overview.

To configure Redshift, please refer to the quick start guide.

NOTE: You will need to ensure that the loader can access the cluster over whatever port is configured for the cluster (generally 5439). If running in the same VPC as the pipeline you can allowlist the security group of the loader directly (module output = sg_id).

Duration settings such as folder_monitoring_period or retry_period should be given in the documented duration format.

Example

Normally, this module would be used as part of our quick start guide. However, you can also use it standalone for a custom setup.

See example below:

# Note: This should be the same bucket that is used by the transformer to produce data to load
module "s3_pipeline_bucket" {
  source = "snowplow-devops/s3-bucket/aws"

  bucket_name = "your-bucket-name"
}

# Note: This should be the same queue that is passed to the transformer to produce data to load
resource "aws_sqs_queue" "rs_message_queue" {
  content_based_deduplication = true
  kms_master_key_id           = "alias/aws/sqs"
  name                        = "rs-loader.fifo"
  fifo_queue                  = true
}

module "transformer_stsv" {
  source  = "snowplow-devops/transformer-kinesis-ec2/aws"

  accept_limited_use_license = true

  name       = "transformer-server-stsv"
  vpc_id     = var.vpc_id
  subnet_ids = var.subnet_ids

  stream_name             = module.enriched_stream.name
  s3_bucket_name          = module.s3_pipeline_bucket.id
  s3_bucket_object_prefix = "transformed/good/shredded/tsv"
  window_period_min       = 1
  sqs_queue_name          = aws_sqs_queue.rs_message_queue.name

  transformation_type  = "shred"
  default_shred_format = "TSV"

  ssh_key_name     = "your-key-name"
  ssh_ip_allowlist = ["0.0.0.0/0"]

  # Linking in the custom Iglu Server here
  custom_iglu_resolvers = [
    {
      name            = "Iglu Server"
      priority        = 0
      uri             = "http://your-iglu-server-endpoint/api"
      api_key         = var.iglu_super_api_key
      vendor_prefixes = []
    }
  ]
}

module "rs_loader" {
  source = "snowplow-devops/redshift-loader-ec2/aws"

  accept_limited_use_license = true

  name       = "rs-loader-server"
  vpc_id     = var.vpc_id
  subnet_ids = var.subnet_ids

  sqs_queue_name = aws_sqs_queue.rs_message_queue.name

  redshift_host               = "<HOST>"
  redshift_database           = "<DATABASE>"
  redshift_port               = <PORT>
  redshift_schema             = "<SCHEMA>"
  redshift_loader_user        = "<LOADER_USER>"
  redshift_password           = "<PASSWORD>"
  redshift_aws_s3_bucket_name = module.s3_pipeline_bucket.id

  ssh_key_name     = "your-key-name"
  ssh_ip_allowlist = ["0.0.0.0/0"]

  # Linking in the custom Iglu Server here
  custom_iglu_resolvers = [
    {
      name            = "Iglu Server"
      priority        = 0
      uri             = "http://your-iglu-server-endpoint/api"
      api_key         = var.iglu_super_api_key
      vendor_prefixes = []
    }
  ]
}

Password options

The push the Redshift password into the environment you can either:

  1. Use the redshift_password variable and supply the password in plaintext or;
  2. Upload the password into an AWS SSM parameter and then include the name of that parameter in the redshift_password_ssm_param variable

Note: The SSM parameter, if set, will override the use of the plaintext input.

Requirements

Name Version
terraform >= 1.0.0
aws >= 3.72.0

Providers

Name Version
aws >= 3.72.0

Modules

Name Source Version
instance_type_metrics snowplow-devops/ec2-instance-type-metrics/aws 0.1.2
service snowplow-devops/service-ec2/aws 0.2.1
telemetry snowplow-devops/telemetry/snowplow 0.5.0

Resources

Name Type
aws_cloudwatch_log_group.log_group resource
aws_iam_instance_profile.instance_profile resource
aws_iam_policy.iam_policy resource
aws_iam_policy.sts_credentials_policy resource
aws_iam_role.iam_role resource
aws_iam_role.sts_credentials_role resource
aws_iam_role_policy_attachment.policy_attachment resource
aws_iam_role_policy_attachment.sts_credentials_policy_attachement resource
aws_security_group.sg resource
aws_security_group_rule.egress_tcp_443 resource
aws_security_group_rule.egress_tcp_80 resource
aws_security_group_rule.egress_tcp_redshift resource
aws_security_group_rule.egress_udp_123 resource
aws_security_group_rule.egress_udp_statsd resource
aws_security_group_rule.ingress_tcp_22 resource
aws_caller_identity.current data source
aws_iam_policy_document.sts_credentials_role data source
aws_region.current data source

Inputs

Name Description Type Default Required
name A name which will be prepended to the resources created string n/a yes
redshift_aws_s3_bucket_name AWS bucket name where data to load is stored string n/a yes
redshift_database Redshift database name string n/a yes
redshift_host Redshift cluster hostname string n/a yes
redshift_loader_user Name of the user that will be used for loading data string n/a yes
redshift_schema Redshift schema name string n/a yes
sqs_queue_name SQS queue name string n/a yes
ssh_key_name The name of the SSH key-pair to attach to all EC2 nodes deployed string n/a yes
subnet_ids The list of subnets to deploy Loader across list(string) n/a yes
vpc_id The VPC to deploy Loader within string n/a yes
accept_limited_use_license Acceptance of the SLULA terms (https://docs.snowplow.io/limited-use-license-1.0/) bool false no
amazon_linux_2_ami_id The AMI ID to use which must be based of of Amazon Linux 2; by default the latest community version is used string "" no
app_version Version of rdb loader redshift string "5.6.0" no
associate_public_ip_address Whether to assign a public ip address to this instance bool true no
cloudwatch_logs_enabled Whether application logs should be reported to CloudWatch bool true no
cloudwatch_logs_retention_days The length of time in days to retain logs for number 7 no
config_override_b64 App config uploaded as a base64 encoded blob. This variable facilitates dev flow, if config is incorrect this can break the deployment. string "" no
custom_iglu_resolvers The custom Iglu Resolvers that will be used by Stream Shredder
list(object({
name = string
priority = number
uri = string
api_key = string
vendor_prefixes = list(string)
}))
[] no
default_iglu_resolvers The default Iglu Resolvers that will be used by Stream Shredder
list(object({
name = string
priority = number
uri = string
api_key = string
vendor_prefixes = list(string)
}))
[
{
"api_key": "",
"name": "Iglu Central",
"priority": 10,
"uri": "http://iglucentral.com",
"vendor_prefixes": []
},
{
"api_key": "",
"name": "Iglu Central - Mirror 01",
"priority": 20,
"uri": "http://mirror01.iglucentral.com",
"vendor_prefixes": []
}
]
no
folder_monitoring_enabled Whether folder monitoring should be activated or not bool false no
folder_monitoring_period How often to folder should be checked by folder monitoring string "8 hours" no
folder_monitoring_since Specifies since when folder monitoring will check string "14 days" no
folder_monitoring_until Specifies until when folder monitoring will check string "6 hours" no
health_check_enabled Whether health check should be enabled or not bool false no
health_check_freq Frequency of health check string "1 hour" no
health_check_timeout How long to wait for a response for health check query string "1 min" no
iam_permissions_boundary The permissions boundary ARN to set on IAM roles created string "" no
instance_type The instance type to use string "t3a.micro" no
java_opts Custom JAVA Options string "-XX:InitialRAMPercentage=75 -XX:MaxRAMPercentage=75" no
private_ecr_registry The URL of an ECR registry that the sub-account has access to (e.g. '000000000000.dkr.ecr.cn-north-1.amazonaws.com.cn/') string "" no
redshift_aws_s3_folder_monitoring_stage_url AWS bucket URL of folder monitoring stage - must be within 'redshift_aws_s3_bucket_name' (NOTE: must be set if 'folder_monitoring_enabled' is true) string "" no
redshift_aws_s3_folder_monitoring_transformer_output_stage_url AWS bucket URL of transformer output stage - must be within 'redshift_aws_s3_bucket_name' (NOTE: must be set if 'folder_monitoring_enabled' is true) string "" no
redshift_jsonpaths_bucket S3 path that holds JSONPaths string "" no
redshift_max_error Redshift max error setting which controls amount of acceptable loading errors number 1 no
redshift_password Password for redshift_loader_user used by loader to perform loading string "" no
redshift_password_ssm_param SSM parameter containing the password for redshift_loader_user used by loader to perform loading string "" no
redshift_port Redshift port number 5439 no
retry_period How often batch of failed folders should be pulled into a discovery queue string "10 min" no
retry_queue_enabled Whether retry queue should be enabled or not bool false no
retry_queue_interval Artificial pause after each failed folder being added to the queue string "10 min" no
retry_queue_max_attempt How many attempt to make for each folder number -1 no
retry_queue_size How many failures should be kept in memory number -1 no
sentry_dsn DSN for Sentry instance string "" no
sentry_enabled Whether Sentry should be enabled or not bool false no
sp_tracking_app_id App id for Snowplow tracking string "" no
sp_tracking_collector_url Collector URL for Snowplow tracking string "" no
sp_tracking_enabled Whether Snowplow tracking should be activated or not bool false no
ssh_ip_allowlist The list of CIDR ranges to allow SSH traffic from list(any)
[
"0.0.0.0/0"
]
no
statsd_enabled Whether Statsd should be enabled or not bool false no
statsd_host Hostname of StatsD server string "" no
statsd_port Port of StatsD server number 8125 no
stdout_metrics_enabled Whether logging metrics to stdout should be activated or not bool false no
tags The tags to append to this resource map(string) {} no
telemetry_enabled Whether or not to send telemetry information back to Snowplow Analytics Ltd bool true no
user_provided_id An optional unique identifier to identify the telemetry events emitted by this stack string "" no
webhook_collector URL of webhook collector string "" no
webhook_enabled Whether webhook should be enabled or not bool false no

Outputs

Name Description
asg_id ID of the ASG
asg_name Name of the ASG
sg_id ID of the security group attached to the Redshift Loader servers

Copyright and license

Copyright 2023-present Snowplow Analytics Ltd.

Licensed under the Snowplow Limited Use License Agreement. (If you are uncertain how it applies to your use case, check our answers to frequently asked questions.)

About

No description, website, or topics provided.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Contributors 4

  •  
  •  
  •  
  •  

Languages