how to create users for airbyte

To create users for Airbyte, the process depends on the specific integration or destination you're setting up. Based on the provided knowledge sources, here are some common scenarios for creating users: 1. For PostgreSQL source: Create a dedicated read-only user with the following commands:

sql    CREATE USER <user_name> PASSWORD 'your_password_here';    GRANT USAGE ON SCHEMA <schema_name> TO <user_name>;    GRANT SELECT ON ALL TABLES IN SCHEMA <schema_name> TO <user_name>;    ALTER DEFAULT PRIVILEGES IN SCHEMA <schema_name> GRANT SELECT ON TABLES TO <user_name>;

[Source: Postgres Quick Start](https://docs.airbyte.com/integrations/sources/postgres#quick-start) 2. For Salesforce source: It's recommended to create a dedicated user with minimum access: - Log in to Salesforce with an admin account - Create a new User with the "Salesforce Platform" User License and "Standard Platform User" Profile - Create a new Permission Set with read-only access to relevant objects [Source: Salesforce Setup Guide](https://docs.airbyte.com/integrations/sources/salesforce#setup-guide) 3. For Snowflake destination: Run a SQL script in the Snowflake console to create a dedicated user:

sql    set airbyte_username = 'AIRBYTE_USER';    set airbyte_password = 'YOUR PASSWORD';    -- Additional SQL statements to create role, warehouse, etc.    create user if not exists identifier($airbyte_username) password = $airbyte_password default_role = $airbyte_role default_warehouse = $airbyte_warehouse;

[Source: End-to-end RAG with Airbyte Cloud, Google Drive, and Snowflake Cortex](https://airbyte.com/tutorials/end-to-end-rag-with-airbyte-cloud-google-drive-and-snowflake-cortex) 4. For BigQuery destination: Create a service account in Google Cloud Console: - Go to "IAM & Admin" > "Service accounts" - Click "Create Service Account" - Name your service account and assign "BigQuery Data Editor" and "BigQuery Job User" roles [Source: Building an E-commerce Data Pipeline](https://airbyte.com/tutorials/building-an-e-commerce-data-pipeline-a-hands-on-guide-to-using-airbyte-dbt-dagster-and-bigquery) 5. For S3 destination: Create an IAM user in AWS: - Create a new user group in IAM - Attach a policy with write access to S3 - Add a new user to the group with programmatic access to obtain access key ID and secret access key [Source: Export Postgres data to CSV, JSON, Parquet and Avro files in S3](https://airbyte.com/tutorials/postgres-to-csv-json-parquet-avro-in-s3) Remember to always follow the principle of least privilege when creating users for Airbyte integrations, granting only the necessary permissions for the specific use case.