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OK - Thanks for the info on this. I'll explain what I'm trying to do as I may be going the wrong way about it. I want to copy an Amazon RDS database from one RDS instance to another that will. Amazon Redshift provides ODBC drivers for Linux, Windows, and macOS X operating systems. Before you install an ODBC driver, determine whether your SQL client tool is 32-bit or 64-bit. Install the ODBC driver that matches the requirements of your SQL client tool. Otherwise, the connection doesn't work. RSS After Amazon RDS provisions your DB instance, you can use any standard SQL client application to connect to the instance. To list the details of an Amazon RDS DB instance, you can use the AWS Management Console, the AWS CLI describe-db-instances command, or the Amazon RDS API DescribeDBInstances operation. DBeaver is an open source tool with 9.88K GitHub stars and 835 GitHub forks. Here's a link to DBeaver's open source repository on GitHub. According to the StackShare community, DBeaver has a broader approval, being mentioned in 12 company stacks & 24 developers stacks; compared to phpMyAdmin, which is listed in 11 company stacks and 19.

Having a visual way to explore the database, run queries, take backups, view database schema, etc. is oftentimes quite handy. If you have your favorite SQL client and/or if you feel like using a CLI might not be the best choice for your situation, here’s a quick step-by-step guide that on connecting to AWS Aurora using a desktop client.

Dbeaver Amazon Rds Account

Finding necessary connection info in AWS console

Log in to the AWS console
Go to RDS
Click Database instances
Select the instance you want to connect to
Note the endpoint and the port number for your connection

Connecting to AWS Aurora using a desktop SQL client

I’m using DBeaver as a client, but a similar process should for the Workbench and other utilities (here’s a quick list of the tools that might work for you).

Here’re the steps for DBeaver:

Go to “Database”
Select “New database connection”
Select SQL
Pick MySQL or MariaDB (if you’re using MySQL)
Optional: it may prompt you to install the driver if you’re doing it for the first time. Just go through the steps in the wizard and DBeaver will find and install the driver automatically for you.
Enter connection info: hostname (endpoint from the step above), port (from the step above), user name and password (If you’re the DB admin, you should be able to use your master user credentials you entered when setting up the cluster. If you’re not an admin – your DB admin will/should give the credentials.)
Hit “Finish” and give it a few seconds to load

Notes:

If you got all the settings right and still have trouble connecting (e.g. getting a connection timeout error), you may want to check if your IP address was added to the security group associated with the database instance you’re trying to access. AWS is using security groups to control access from certain IP ranges and ports, and by default, this access is turned off, so you’ll need to verify if you are allowed to connect from/with the IP and port you’re using.

Useful links:

There are many ways to import data into a database, some are pretty straightforward, and others are more complex depending on the type of data you receive and which format it is in. I will show you how to import data from an excel file using the DBA tool DBeaver.

File Conversion

When you receive a file in Excel format, you must convert this data into a readable format. This format is usually .csv (Comma Delimited) but can often be in a format that has a delimiter that isn’t so common.

Excel file Conversion

Excel file extensions are usually xls or xlsx, open your file in Excel. You’ll need to convert this into a CSV file, which is extremely easy. All you need to do is Save As and change the “Save as type:” to “CSV (Comma delimited) (*.csv)” and click Save. The file name will change automatically, no need to change it to .csv.

Create csv Connection

Right-click your database connection (or anywhere if your connections are empty), click Create and then click Connection.

Make sure the All tab is selected on the left and scroll down to CSV. Click Next.

Click Browse… and select the folder where your csv file is that you saved from Excel. You’re selecting a folder here, not a file. The connection will load ALL csv files in that folder. Click Finish.

You will now see a new connection; this connection is set up exactly like a regular connection. Each csv file in your folder will be set up as a table with columns.

Data Import

Once the connection is made, you’re able to query the data just like you would any other table with sql syntax.

You can now import this data into your PostgreSQL table. Right-click the table you want to import into PostgreSQL and click Export Data.

Select Database and click Next.

Change the target container to the schema where your table is in PostgreSQL. Click Ok.

Select the target (table) where you want to import the data.

Click Columns and set the target column for each column of data. If you have headers already in your data that match the table columns, then this will automatically map. Click Ok. Click Next.

Set the options for connections and data load. If you only want to add data to the table and not overwrite the data, you will want to remove the option for truncating target table. Click Next.

Check to make sure the source and target are correct and then click Start to begin the import.

You can now select the data from your PostgreSQL table.

You can also create an empty table structure and select create under mapping in the Tables Mapping window, and it will create the columns for you. This is best used when you have headers.

When you select data from the table after the import, the first row in the import data will be what the columns are named.