Given i have postgres source with redshift destination. What is the recommended procedure to get the data that airbyte ingests into redshift in redshift specific format with columns such as super?

To get the data that Airbyte ingests into Redshift in Redshift specific format with columns such as SUPER, you need to follow these steps: 1. Set up the Redshift destination connector in Airbyte. Depending on whether you're using Airbyte Cloud or Airbyte Open Source, the steps will vary slightly. In general, you'll need to navigate to the "Destinations" section, click "+ new destination", select "Redshift" from the Destination type dropdown, and fill in all the required fields to use the INSERT or COPY strategy. Finally, click

Set up destination

[source](https://docs.airbyte.com/integrations/destinations/redshift#step-2-set-up-the-destination-connector-in-airbyte). 2. Configure a Postgres source. Create a Postgres source called "Postgres-source" [source](https://airbyte.com/tutorials/full-data-synchronization#step-5). 3. Understand the output schema. Each stream will be output into its own raw table in Redshift. Each table will contain 4 columns:

_airbyte_raw_id

,

_airbyte_extracted_at

,

_airbyte_loaded_at

, and

_airbyte_data

. The

_airbyte_data

column is a json blob representing the event data and its column type in Redshift is

SUPER

[source](https://docs.airbyte.com/integrations/destinations/redshift#output-schema). 4. Understand the data type map. Airbyte maps its data types to Redshift data types. For example, the Airbyte type

OBJECT

and

ARRAY

are mapped to the Redshift type

SUPER

[source](https://docs.airbyte.com/integrations/destinations/redshift#data-type-map). 5. Run the sync. After setting up the source and destination, you can run the sync. Airbyte will first upload the data to an S3 bucket and then issue a COPY command to Redshift [source](https://docs.airbyte.com/integrations/destinations/redshift#redshift). Please note that there are some limitations when dealing with SUPER data type in Redshift. For example, an individual FIELD within a SUPER cannot exceed 65k chars [source](https://github.com/airbytehq/airbyte/issues/28541). If you encounter issues with large data, you might need to consider normalizing the

_airbyte_data

field from JSON back to a columnar format outside of Redshift before attempting to load into Redshift [source](https://github.com/airbytehq/airbyte/issues/28541).

@kapa.ai how can i define a target schema?

Defining a target schema in Airbyte can be done in a few ways depending on the context. If you're working with a stream in a connector, you can define the schema of each stream your connector can output using JSONSchema. This can be done by describing the schema of your streams using one

.json

file per stream, or dynamically generating the schema of your stream in code. The schema of a stream is the return value of

Stream.get_json_schema

. For example, if you want to define your schema in code, you can override

Stream.get_json_schema

in your stream class to return a

dict

describing the schema using JSONSchema. Here's an example:

python def get_json_schema(self):       schema = super().get_json_schema()       schema['dynamically_determined_property'] = "property"       return schema

[Source](https://docs.airbyte.com/connector-development/cdk-python/full-refresh-stream#defining-the-streams-schema) If you're setting up a destination like Postgres, you can specify the target schema during the setup process. For example, when setting up a Postgres destination, you would specify the

schema

parameter as shown below:

python postgres_destination = PostgresDestination(     name="postgres",     host="localhost",     port=5432,     database="postgres",     schema="public",     username="postgres",     password=POSTGRES_PASSWORD,     ssl_mode=PostgresDestination.Disable(), )

[Source](https://airbyte.com/tutorials/configure-airbyte-with-python-dagster) Please note that the schema names are case sensitive and multiple schemas may be used at one time. If no schemas are set explicitly, all existing schemas will be synced. [Source](https://docs.airbyte.com/integrations/destinations/postgres#naming-conventions-part-2) In some cases, you might encounter permission issues when trying to write to a target schema. If you receive an error stating

Current role does not have permissions on the target schema

, make sure that the destination

SCHEMA

is one that the role you've provided has permissions on. [Source](https://docs.airbyte.com/integrations/destinations/snowflake#troubleshooting)