datastore

Datastore

Stores Metaflow state, acting as Metaflow's remote Datastore. The data stored includes but is not limited:

• for each flow
  • for each version
    • conda environments
    • dependencies
    • artifacts
    • input
    • output

No duplicate data is stored thanks to automatic deduplication built into Metaflow.

To read more, see the Metaflow docs

Inputs

Name	Description	Type	Default	Required
db_engine	n/a	string	"postgres"	no
db_engine_version	n/a	string	"11"	no
db_instance_type	RDS instance type to launch for PostgresQL database.	string	"db.t2.small"	no
db_name	Name of PostgresQL database for Metaflow service.	string	"metaflow"	no
db_username	PostgresQL username; defaults to 'metaflow'	string	"metaflow"	no
force_destroy_s3_bucket	Empty S3 bucket before destroying via terraform destroy	bool	false	no
metadata_service_security_group_id	The security group ID used by the MetaData service. We'll grant this access to our DB.	string	n/a	yes
metaflow_vpc_id	ID of the Metaflow VPC this SageMaker notebook instance is to be deployed in	string	n/a	yes
resource_prefix	Prefix given to all AWS resources to differentiate between applications	string	n/a	yes
resource_suffix	Suffix given to all AWS resources to differentiate between environment and workspace	string	n/a	yes
standard_tags	The standard tags to apply to every AWS resource.	map(string)	n/a	yes
subnet1_id	First subnet used for availability zone redundancy	string	n/a	yes
subnet2_id	Second subnet used for availability zone redundancy	string	n/a	yes

Outputs

Name	Description
METAFLOW_DATASTORE_SYSROOT_S3	Amazon S3 URL for Metaflow DataStore
METAFLOW_DATATOOLS_S3ROOT	Amazon S3 URL for Metaflow DataTools
database_name	The database name
database_password	The database password
database_username	The database username
datastore_s3_bucket_kms_key_arn	The ARN of the KMS key used to encrypt the Metaflow datastore S3 bucket
rds_master_instance_endpoint	The database connection endpoint in address:port format
s3_bucket_arn	The ARN of the bucket we'll be using as blob storage
s3_bucket_name	The name of the bucket we'll be using as blob storage