S3 Setup

Driverless AI allows you to explore S3 data sources from within the Driverless AI application. This section provides instructions for configuring Driverless AI to work with S3.

Description of Configuration Attributes

  • aws_access_key_id: The S3 access key ID
  • aws_secret_access_key: The S3 access key
  • aws_role_arn: The Amazon Resource Name
  • aws_default_region: The region to use when the aws_s3_endpoint_url option is not set. This is ignored when aws_s3_endpoint_url is set.
  • aws_s3_endpoint_url: The endpoint URL that will be used to access S3.
  • aws_use_ec2_role_credentials: If set to true, the S3 Connector will try to to obtain credentials associated with the role attached to the EC2 instance.
  • s3_init_path: The starting S3 path that will be displayed in UI S3 browser.

S3 with No Authentication

This example enables the S3 data connector and disables authentication. It does not pass any S3 access key or secret; however it configures Docker DNS by passing the name and IP of the S3 name node. This allows users to reference data stored in S3 directly using name node address, for example: s3://name.node/datasets/iris.csv.

  1. Export the Driverless AI config.toml file or add it to ~/.bashrc. For example:
# DEB and RPM
export DRIVERLESS_AI_CONFIG_FILE="/etc/dai/config.toml"

# TAR SH
export DRIVERLESS_AI_CONFIG_FILE="/path/to/your/unpacked/dai/directory/config.toml"
  1. Specify the following configuration options in the config.toml file.
# File System Support
# upload : standard upload feature
# file : local file system/server file system
# hdfs : Hadoop file system, remember to configure the HDFS config folder path and keytab below
# dtap : Blue Data Tap file system, remember to configure the DTap section below
# s3 : Amazon S3, optionally configure secret and access key below
# gcs : Google Cloud Storage, remember to configure gcs_path_to_service_account_json below
# gbq : Google Big Query, remember to configure gcs_path_to_service_account_json below
# minio : Minio Cloud Storage, remember to configure secret and access key below
# snow : Snowflake Data Warehouse, remember to configure Snowflake credentials below (account name, username, password)
# kdb : KDB+ Time Series Database, remember to configure KDB credentials below (hostname and port, optionally: username, password, classpath, and jvm_args)
# azrbs : Azure Blob Storage, remember to configure Azure credentials below (account name, account key)
# jdbc: JDBC Connector, remember to configure JDBC below. (jdbc_app_configs)
enabled_file_systems = "file, s3"
  1. Save the changes when you are done, then stop/restart Driverless AI.

S3 with Authentication

This example enables the S3 data connector with authentication by passing an S3 access key ID and an access key. It also configures Docker DNS by passing the name and IP of the S3 name node. This allows users to reference data stored in S3 directly using name node address, for example: s3://name.node/datasets/iris.csv.

  1. Export the Driverless AI config.toml file or add it to ~/.bashrc. For example:
# DEB and RPM
export DRIVERLESS_AI_CONFIG_FILE="/etc/dai/config.toml"

# TAR SH
export DRIVERLESS_AI_CONFIG_FILE="/path/to/your/unpacked/dai/directory/config.toml"
  1. Specify the following configuration options in the config.toml file.
# File System Support
# upload : standard upload feature
# file : local file system/server file system
# hdfs : Hadoop file system, remember to configure the HDFS config folder path and keytab below
# dtap : Blue Data Tap file system, remember to configure the DTap section below
# s3 : Amazon S3, optionally configure secret and access key below
# gcs : Google Cloud Storage, remember to configure gcs_path_to_service_account_json below
# gbq : Google Big Query, remember to configure gcs_path_to_service_account_json below
# minio : Minio Cloud Storage, remember to configure secret and access key below
# snow : Snowflake Data Warehouse, remember to configure Snowflake credentials below (account name, username, password)
# kdb : KDB+ Time Series Database, remember to configure KDB credentials below (hostname and port, optionally: username, password, classpath, and jvm_args)
# azrbs : Azure Blob Storage, remember to configure Azure credentials below (account name, account key)
# jdbc: JDBC Connector, remember to configure JDBC below. (jdbc_app_configs)
enabled_file_systems = "file, s3"

# S3 Connector credentials
aws_access_key_id = "<access_key_id>"
aws_secret_access_key = "<access_key>"
  1. Save the changes when you are done, then stop/restart Driverless AI.