Connecting Athena and S3 in same Cloudformation Stack - amazon-web-services

Question

From the documentation, AWS::Athena::NamedQuery, it is unclear how to attach Athena to an S3 bucket specified in the same stack.
If I had to guess from the example, I would imagine that you can write a template like,
Resources:
MyS3Bucket:
Type: AWS::S3::Bucket
... other params ...
AthenaNamedQuery:
Type: AWS::Athena::NamedQuery
Properties:
Database: "db_name"
Name: "MostExpensiveWorkflow"
QueryString: >
CREATE EXTERNAL TABLE db_name.test_table
(...) LOCATION s3://.../path/to/folder/
Would a template like the above work? Upon stack creation, will the table db_name.test_table be available to run queries on?

Answer 1

Turns out the way you connect the S3 and Athena is to make a Glue table! How silly of me!! Of course Glue is how you connect things!
Sarcasm aside, this is a template that worked for me when using AWS::Glue::Table and AWS::Glue::Database,
Resources:
MyS3Bucket:
Type: AWS::S3::Bucket
MyGlueDatabase:
Type: AWS::Glue::Database
Properties:
DatabaseInput:
Name: my-glue-database
Description: "Glue beats tape"
CatalogId: !Ref AWS::AccountId
MyGlueTable:
Type: AWS::Glue::Table
Properties:
DatabaseName: !Ref MyGlueDatabase
CatalogId: !Ref AWS::AccountId
TableInput:
Name: my-glue-table
Parameters: { "classification" : "csv" }
StorageDescriptor:
Location:
Fn::Sub: "s3://${MyS3Bucket}/"
InputFormat: "org.apache.hadoop.mapred.TextInputFormat"
OutputFormat: "org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat"
SerdeInfo:
Parameters: { "separatorChar" : "," }
SerializationLibrary: "org.apache.hadoop.hive.serde2.OpenCSVSerde"
StoredAsSubDirectories: false
Columns:
- Name: column0
Type: string
- Name: column1
Type: string
After this, the database and table were in the AWS Athena Console!