Minio Setup¶
This section provides instructions for configuring Driverless AI to work with Minio. Note that unlike S3, authentication must also be configured when the Minio data connector is specified.
Minio with Authentication¶
This example enables the Minio data connector with authentication by passing an endpoint URL, access key ID, and an access key. It also configures Docker DNS by passing the name and IP of the Minio endpoint. This allows users to reference data stored in Minio directly using the endpoint URL, for example: http://<endpoint_url>/<bucket>/datasets/iris.csv.
- 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"
- Edit the following environment variables 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) enabled_file_systems = "file, minio" # Minio Connector credentials minio_endpoint_url = "<endpoint_url>" minio_access_key_id = "<access_key_id>" minio_secret_access_key = "<access_key>"
- Save the changes when you are done, then stop/restart Driverless AI.