Terraform modules for provisioning and managing AWS Glue resources.

The following Glue resources are supported:

• Catalog database
• Catalog table
• Connection
• Crawler
• Job
• Registry
• Schema
• Trigger
• Workflow

Refer to modules for more details.

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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.

Important

In Cloud Posse's examples, we avoid pinning modules to specific versions to prevent discrepancies between the documentation and the latest released versions. However, for your own projects, we strongly advise pinning each module to the exact version you're using. This practice ensures the stability of your infrastructure. Additionally, we recommend implementing a systematic approach for updating versions to avoid unexpected changes.

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
}

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Makefile Targets

Available targets:

  help                                Help screen
  help/all                            Display help for all targets
  help/short                          This help short screen
  lint                                Lint terraform code

Requirements

Name	Version
terraform	>= 1.0
aws	>= 3.74.0
awsutils	>= 0.11.1

Providers

No providers.

Modules

Name	Source	Version
this	cloudposse/label/null	0.25.0

Resources

No resources.

Inputs

Name	Description	Type	Default	Required
additional_tag_map	Additional key-value pairs to add to each map in tags_as_list_of_maps. Not added to tags or id. This is for some rare cases where resources want additional configuration of tags and therefore take a list of maps with tag key, value, and additional configuration.	map(string)	{}	no
attributes	ID element. Additional attributes (e.g. workers or cluster) to add to id, in the order they appear in the list. New attributes are appended to the end of the list. The elements of the list are joined by the delimiter and treated as a single ID element.	list(string)	[]	no
context	Single object for setting entire context at once. See description of individual variables for details. Leave string and numeric variables as null to use default value. Individual variable settings (non-null) override settings in context object, except for attributes, tags, and additional_tag_map, which are merged.	any	{ "additional_tag_map": {}, "attributes": [], "delimiter": null, "descriptor_formats": {}, "enabled": true, "environment": null, "id_length_limit": null, "label_key_case": null, "label_order": [], "label_value_case": null, "labels_as_tags": [ "unset" ], "name": null, "namespace": null, "regex_replace_chars": null, "stage": null, "tags": {}, "tenant": null }	no
delimiter	Delimiter to be used between ID elements. Defaults to - (hyphen). Set to "" to use no delimiter at all.	string	null	no
descriptor_formats	Describe additional descriptors to be output in the descriptors output map. Map of maps. Keys are names of descriptors. Values are maps of the form {<br> format = string<br> labels = list(string)<br>} (Type is any so the map values can later be enhanced to provide additional options.) format is a Terraform format string to be passed to the format() function. labels is a list of labels, in order, to pass to format() function. Label values will be normalized before being passed to format() so they will be identical to how they appear in id. Default is {} (descriptors output will be empty).	any	{}	no
enabled	Set to false to prevent the module from creating any resources	bool	null	no
environment	ID element. Usually used for region e.g. 'uw2', 'us-west-2', OR role 'prod', 'staging', 'dev', 'UAT'	string	null	no
id_length_limit	Limit id to this many characters (minimum 6). Set to 0 for unlimited length. Set to null for keep the existing setting, which defaults to 0. Does not affect id_full.	number	null	no
label_key_case	Controls the letter case of the tags keys (label names) for tags generated by this module. Does not affect keys of tags passed in via the tags input. Possible values: lower, title, upper. Default value: title.	string	null	no
label_order	The order in which the labels (ID elements) appear in the id. Defaults to ["namespace", "environment", "stage", "name", "attributes"]. You can omit any of the 6 labels ("tenant" is the 6th), but at least one must be present.	list(string)	null	no
label_value_case	Controls the letter case of ID elements (labels) as included in id, set as tag values, and output by this module individually. Does not affect values of tags passed in via the tags input. Possible values: lower, title, upper and none (no transformation). Set this to title and set delimiter to "" to yield Pascal Case IDs. Default value: lower.	string	null	no
labels_as_tags	Set of labels (ID elements) to include as tags in the tags output. Default is to include all labels. Tags with empty values will not be included in the tags output. Set to [] to suppress all generated tags. Notes: The value of the name tag, if included, will be the id, not the name. Unlike other null-label inputs, the initial setting of labels_as_tags cannot be changed in later chained modules. Attempts to change it will be silently ignored.	set(string)	[ "default" ]	no
name	ID element. Usually the component or solution name, e.g. 'app' or 'jenkins'. This is the only ID element not also included as a tag. The "name" tag is set to the full id string. There is no tag with the value of the name input.	string	null	no
namespace	ID element. Usually an abbreviation of your organization name, e.g. 'eg' or 'cp', to help ensure generated IDs are globally unique	string	null	no
regex_replace_chars	Terraform regular expression (regex) string. Characters matching the regex will be removed from the ID elements. If not set, "/[^a-zA-Z0-9-]/" is used to remove all characters other than hyphens, letters and digits.	string	null	no
stage	ID element. Usually used to indicate role, e.g. 'prod', 'staging', 'source', 'build', 'test', 'deploy', 'release'	string	null	no
tags	Additional tags (e.g. {'BusinessUnit': 'XYZ'}). Neither the tag keys nor the tag values will be modified by this module.	map(string)	{}	no
tenant	ID element _(Rarely used, not included by default)_. A customer identifier, indicating who this instance of a resource is for	string	null	no

Outputs

No outputs.

Related Projects

Check out these related projects.

• terraform-aws-components - Catalog of terraform AWS components

References

For additional context, refer to some of these links.

• Glue Getting Started Guide - Guide for getting oriented with glue and spark
• Program AWS Glue ETL Scripts in Python - Documentation about the process of running ETL with AWS Glue and the Python programming language
• Python shell jobs in AWS Glue - Documentation about the process of configuring and running Python shell jobs in AWS Glue
• AWS Glue Jobs unit testing - Illustrates the execution of PyTest unit test cases for AWS Glue jobs in AWS CodePipeline using AWS CodeBuild projects
• AWS Glue knowledge center - Why does my AWS Glue crawler or ETL job fail with the error "Insufficient Lake Formation permission(s)"?

✨ Contributing

This project is under active development, and we encourage contributions from our community.

Many thanks to our outstanding contributors:

For 🐛 bug reports & feature requests, please use the issue tracker.

In general, PRs are welcome. We follow the typical "fork-and-pull" Git workflow.

1. Review our Code of Conduct and Contributor Guidelines.
2. Fork the repo on GitHub
3. Clone the project to your own machine
4. Commit changes to your own branch
5. Push your work back up to your fork
6. Submit a Pull Request so that we can review your changes

NOTE: Be sure to merge the latest changes from "upstream" before making a pull request!

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License

Preamble to the Apache License, Version 2.0

Complete license is available in the LICENSE file.

Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements.  See the NOTICE file
distributed with this work for additional information
regarding copyright ownership.  The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License.  You may obtain a copy of the License at

  https://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied.  See the License for the
specific language governing permissions and limitations
under the License.

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