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PostgreSQL aws_s3 extension | An Introduction

by | Mar 22, 2024

Learn more about the PostgreSQL aws_s3 extension. Our PostgreSQL Support team is here to help you with your questions and concerns.

PostgreSQL aws_s3 extension | An Introduction

In the world of data management, moving data between storage solutions is a common challenge.
When dealing with AWS, data often resides in S3 but needs to be moved to a database like Postgres.

PostgreSQL aws_s3 extension | An Introduction

AWS offers a solution to this with the `aws_s3` extension for Postgres. This extension simplifies the process of loading data from S3 into a Postgres database.

An Example

Imagine we have a website that captures structured event data from its users. These events are stored in batches in an S3 bucket, and we want to analyze this data via a Postgres database.

  1. To begin with, we need to add the `aws_s3` extension to our Postgres database.

    CREATE EXTENSION aws_s3;

  2. Next, we have to create a table in our Postgres database to store the event data. We have to make sure that the table structure matches the format of our data.


    CREATE TABLE events (
    event_id uuid primary key,
    event_name varchar(120) NOT NULL,
    event_value varchar(256) NOT NULL
    );

  3. Then, if we have the AWS access keys and the S3 bucket name where our data resides, we can use the `aws_s3.table_import_from_s3` function to import the S3 CSV file into our Postgres table.


    SELECT aws_s3.table_import_from_s3(
    'events', 'event_id,event_name,event_value',
    '(format csv, header true)',
    'bucket_name',
    'optional_folder_name/file_name',
    'region',
    'aws_access_key',
    'aws_secret_key',
    'optional_session_token'
    );

    Here:

    • `events`: Name of the target table in Postgres.
    • `event_id,event_name,event_value`: Columns in the Postgres table to match the data columns.
    • `(format csv, header true)`: Specifies the file format.
    • `bucket_name`: Name of the S3 bucket where the data resides.
    • `optional_folder_name/file_name`: Path to the file within the bucket if it’s located in a specific folder.
    • `region`: AWS region where the S3 bucket is located.
    • `aws_access_key` and `aws_secret_key`: AWS access key and secret key.
    • `optional_session_token`: Session token, if required for authentication.

The `aws_s3` extension for Postgres simplifies the process of loading data from AWS S3 into a Postgres database. In other words, it helps avoid unnecessary data movements, reduces manual efforts, and keeps our data processing within the AWS ecosystem.

[Need assistance with a different issue? Our team is available 24/7.]

Conclusion

In brief, our Support Experts introduced us to the PostgreSQL aws_s3 extension with an example.

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2 Comments

  1. Murengezi

    CREATE EXTENSION aws_s3;
    ERROR: extension “aws_s3” is not available

    am getting this error when am trying to create aws-s3 in my postgresql16 in order to get data from an s3 bucket and store them in postgresql data.

    Any clue why??

    Reply
    • Hiba Razak

      Hello,
      Our experts can help you with the issue.we will be happy to talk to you through our live chat(click on the icon at right-bottom).

      Reply

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