> For the complete documentation index, see [llms.txt](https://upsolver.gitbook.io/content/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://upsolver.gitbook.io/content/quickstarts-1/data-ingestion-wizard/using-the-wizard/target-set-up/amazon-redshift.md). # Amazon Redshift ## Step 1 - Connect to Amazon Redshift ### Create a new connection Click **Create a new connection**, if it is not already selected. In the **Connection String** field, enter your connection in the following format: {% code overflow="wrap" %} ```atom jdbc:redshift://:/ ``` {% endcode %} where: * `ENDPOINT`: The endpoint of the Amazon Redshift cluster. * `PORT`: The port number that you specified when you launched the cluster. The default port for Amazon Redshift is 5439. * `DB_NAME`: The name of the target database. Read more: * [Connection string arguments in Redshift ](https://docs.aws.amazon.com/redshift/latest/mgmt/jdbc20-obtain-url.html) * [Finding your cluster connection string](https://docs.aws.amazon.com/redshift/latest/mgmt/configuring-connections.html#connecting-connection-string%5D\(See) Provide the **Username** and **Password** that will be used to authenticate to the database. In the **Name your connection** field, type in the name for this connection. Please note this connection will be available to other users in your organization.

Create a new connection to Amazon Redshift to use as the target for your ingestion job.

### Use an existing connection By default, if you have already created a connection, Upsolver selects **Use an existing connection**, and your Redshift connection is populated in the list. For organizations with multiple connections, select the target connection you want to use.

Select your Redshift connection to use as the target for your ingestion job.

## Step 2 - Select where to ingest the data Select an existing schema for the ingested data in the **Select a target schema** list. If you are ingesting into a single table, provide a name for the new table. If the source is a database ([Microsoft SQL Server](/content/quickstarts-1/data-ingestion-wizard/using-the-wizard/source-set-up/microsoft-sql-server.md), [MongoDB](/content/quickstarts-1/data-ingestion-wizard/using-the-wizard/source-set-up/mongodb.md), [MySQL](/content/quickstarts-1/data-ingestion-wizard/using-the-wizard/source-set-up/mysql.md), [PostgreSQL](/content/quickstarts-1/data-ingestion-wizard/using-the-wizard/source-set-up/postgresql.md)) Upsolver will create new tables in the selected schema. When ingesting multiple source schemas into Redshift you have the following options: 1. Ingest all tables into a single Redshift schema and add the source schema name to every new table created in Redshift. 2. Map every source schema into a target schema in Redshift. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://upsolver.gitbook.io/content/quickstarts-1/data-ingestion-wizard/using-the-wizard/target-set-up/amazon-redshift.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.