aws / aws/amazon-redshift-python-driver
Support inline role_arn for IAM Role authentication
- 主要言語
- Python
- スター
- 220
- フォーク
- 86
- PR マージ指標
- 30日以内にマージされた PR はありません
説明
See this issue for context : https://github.com/dbt-labs/dbt-redshift/issues/842
The connector need to be able to support IAM Role via inline parameters in addition to via an AWS profile, the same way it does for IAM Users.
If I open a connection with `role_arn`, `source_access_key_id`, and `source_secret_access_key`, currently it ignores `role_arn` and uses the access key to open an IAM user connection.
What I need instead is to leverage the access key to assume the role - see [boto3 credentials](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html#assume-role-provider), we're in the [assume role provider chapter](https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html#assume-role-provider), particularly:
> If MFA authentication is not enabled then you only need to specify a role_arn and a source_profile.
What I need is to pass all the parameters inline, not a `source_profile`.
コントリビューションガイド
調査の方向性
Start by reading the connector's handling of inline IAM credentials and AWS profile selection, then compare the requested behavior with the linked boto3 assume-role provider documentation and the dbt-redshift context issue. Done means role_arn is honored with source_access_key_id and source_secret_access_key to assume the role, rather than opening an IAM user connection.
索引モデルが issue の本文から書いたものです。
評価
- 技術スタック
- aws, python
- 領域
- authentication, cloud, database
- issue の種類
- 機能追加
- 難易度
- 4/5
- 見積もり時間
- 3〜5日
- 活発さ
- 停滞
- 明瞭さ
- おおむね明確
- 初心者へのやさしさ
- 35/100