Module: glue
Terraform modules for provisioning and managing AWS Glue resources.
The following Glue resources are supported:
Refer to modules for more details.
Usage
For a complete example, see examples/complete. The example provisions a Glue catalog database and a Glue crawler that crawls a public dataset in an S3 bucket and writes the metadata into the Glue catalog database. It also provisions an S3 bucket with a Glue Job Python script, and a destination S3 bucket for Glue job results. And finally, it provisions a Glue job pointing to the Python script in the S3 bucket, and a Glue trigger that triggers the Glue job on a schedule. The Glue job processes the dataset, cleans up the data, and writes the result into the destination S3 bucket.
For an example on how to provision source and destination S3 buckets, Glue Catalog database and table, and a Glue crawler that processes data in the source S3 bucket and writes the result into the destination S3 bucket, see examples/crawler.
For automated tests of the examples using bats and Terratest (which tests and deploys the examples on AWS), see test.
Examples
locals {
enabled = module.this.enabled
s3_bucket_source = module.s3_bucket_source.bucket_id
role_arn = module.iam_role.arn
# The dataset used in this example consists of Medicare-Provider payment data downloaded from two Data.CMS.gov sites:
# Inpatient Prospective Payment System Provider Summary for the Top 100 Diagnosis-Related Groups - FY2011, and Inpatient Charge Data FY 2011.
# AWS modified the data to introduce a couple of erroneous records at the tail end of the file
data_source = "s3://awsglue-datasets/examples/medicare/Medicare_Hospital_Provider.csv"
}
module "glue_catalog_database" {
source = "cloudposse/glue/aws//modules/glue-catalog-database"
# Cloud Posse recommends pinning every module to a specific version
# version = "x.x.x"
catalog_database_description = "Glue Catalog database for the data located in ${local.data_source}"
location_uri = local.data_source
attributes = ["payments"]
context = module.this.context
}
module "glue_catalog_table" {
source = "cloudposse/glue/aws//modules/glue-catalog-table"
# Cloud Posse recommends pinning every module to a specific version
# version = "x.x.x"
catalog_table_name = "medicare"
catalog_table_description = "Test Glue Catalog table"
database_name = module.glue_catalog_database.name
storage_descriptor = {
# Physical location of the table
location = local.data_source
}
context = module.this.context
}
resource "aws_lakeformation_permissions" "default" {
principal = local.role_arn
permissions = ["ALL"]
table {
database_name = module.glue_catalog_database.name
name = module.glue_catalog_table.name
}
}
# Crawls the data in the S3 bucket and puts the results into a database in the Glue Data Catalog.
# The crawler will read the first 2 MB of data from that file, and recognize the schema.
# After that, the crawler will sync the table `medicare` in the Glue database.
module "glue_crawler" {
source = "cloudposse/glue/aws//modules/glue-crawler"
# Cloud Posse recommends pinning every module to a specific version
# version = "x.x.x"
crawler_description = "Glue crawler that processes data in ${local.data_source} and writes the metadata into a Glue Catalog database"
database_name = module.glue_catalog_database.name
role = local.role_arn
schedule = "cron(0 1 * * ? *)"
schema_change_policy = {
delete_behavior = "LOG"
update_behavior = null
}
catalog_target = [
{
database_name = module.glue_catalog_database.name
tables = [module.glue_catalog_table.name]
}
]
context = module.this.context
depends_on = [
aws_lakeformation_permissions.default
]
}
# Source S3 bucket to store Glue Job scripts
module "s3_bucket_source" {
source = "cloudposse/s3-bucket/aws"
# Cloud Posse recommends pinning every module to a specific version
# version = "x.x.x"
acl = "private"
versioning_enabled = false
force_destroy = true
allow_encrypted_uploads_only = true
allow_ssl_requests_only = true
block_public_acls = true
block_public_policy = true
ignore_public_acls = true
restrict_public_buckets = true
attributes = ["source"]
context = module.this.context
}
resource "aws_s3_object" "job_script" {
bucket = local.s3_bucket_source
key = "data_cleaning.py"
source = "${path.module}/scripts/data_cleaning.py"
force_destroy = true
etag = filemd5("${path.module}/scripts/data_cleaning.py")
tags = module.this.tags
}
# Destination S3 bucket to store Glue Job results
module "s3_bucket_destination" {
source = "cloudposse/s3-bucket/aws"
# Cloud Posse recommends pinning every module to a specific version
# version = "x.x.x"
acl = "private"
versioning_enabled = false
force_destroy = true
allow_encrypted_uploads_only = true
allow_ssl_requests_only = true
block_public_acls = true
block_public_policy = true
ignore_public_acls = true
restrict_public_buckets = true
attributes = ["destination"]
context = module.this.context
}
module "iam_role" {
source = "cloudposse/iam-role/aws"
# Cloud Posse recommends pinning every module to a specific version
# version = "x.x.x"
principals = {
"Service" = ["glue.amazonaws.com"]
}
managed_policy_arns = [
"arn:aws:iam::aws:policy/service-role/AWSGlueServiceRole"
]
policy_document_count = 0
policy_description = "Policy for AWS Glue with access to EC2, S3, and Cloudwatch Logs"
role_description = "Role for AWS Glue with access to EC2, S3, and Cloudwatch Logs"
context = module.this.context
}
module "glue_workflow" {
source = "cloudposse/glue/aws//modules/glue-workflow"
# Cloud Posse recommends pinning every module to a specific version
# version = "x.x.x"
workflow_description = "Test Glue Workflow"
max_concurrent_runs = 2
context = module.this.context
}
module "glue_job" {
source = "cloudposse/glue/aws//modules/glue-job"
# Cloud Posse recommends pinning every module to a specific version
# version = "x.x.x"
job_description = "Glue Job that runs data_cleaning.py Python script"
role_arn = local.role_arn
glue_version = var.glue_version
worker_type = "Standard"
number_of_workers = 2
max_retries = 2
# The job timeout in minutes
timeout = 20
command = {
# The name of the job command. Defaults to `glueetl`.
# Use `pythonshell` for Python Shell Job Type, or `gluestreaming` for Streaming Job Type.
name = "glueetl"
script_location = format("s3://%s/data_cleaning.py", local.s3_bucket_source)
python_version = 3
}
context = module.this.context
}
module "glue_trigger" {
source = "cloudposse/glue/aws//modules/glue-trigger"
# Cloud Posse recommends pinning every module to a specific version
# version = "x.x.x"
workflow_name = module.glue_workflow.name
trigger_enabled = true
start_on_creation = true
trigger_description = "Glue Trigger that triggers a Glue Job on a schedule"
schedule = "cron(15 12 * * ? *)"
type = "SCHEDULED"
actions = [
{
job_name = module.glue_job.name
# The job run timeout in minutes. It overrides the timeout value of the job
timeout = 10
}
]
context = module.this.context
}