Parquet files in AWS can be set up by copying S3 Bucket to Redshift Warehouse. Bobcares, as a part of our AWS Support Services, offers solutions to your AWS queries.

Here, we’ll implement Parquet files in AWS. We’re doing the implementation process by first moving Parquet File to S3 Bucket and then we’ll copy the data from S3 Bucket to Redshift Warehouse. With these two steps, we can now easily set up the Parquet files.

Implementing Parquet files in AWS with S3 Bucket and Redshift Warehouse

Parquet follows the Columnar Storage Model where column values are saved collectively as opposed to the conventional Sequential Storage Model, which writes data sequentially. It is available for any project on Hadoop. We can implement the Parquet files using these steps:

• Moving Parquet File to S3 Bucket
• Copying data from S3 Bucket to Redshift Warehouse

Moving Parquet File to S3 Bucket

We’ve to create an S3 bucket first. Then we can upload the Parquet file to it. We can follow the below steps:

1. Firstly, access the AWS Management Console.

2. Go to Storage & Content Delivery >> S3.

3. Once we are on the Amazon S3 Console Dashboard, select “Create Bucket”.

4. Provide the name for the bucket in the “Bucket Name” textbox.

5. Select the region under “Region”.

6. Now click on “Create”. It may take a while for the console to display the new Bucket in the “Buckets” window.

7. Select the new Bucket and click on Upload >> Add Files.

8. Click on Open >> Start Upload after choosing the file we wish to upload. The upload procedure will begin as a result. We can monitor it in the “Transfer” window.

Copying data from S3 Bucket to Redshift Warehouse

We can now copy the S3 Bucket data to the Redshift data warehouse using the below steps:

1. From the AWS Management Console, create a Redshift Data Pipeline. 2. Now under the “Build using a template” option, choose the “Load Data from S3 into Amazon Redshift” template. Now the data is copied from the S3 Bucket into the Redshift table. 3. After this, we can also automate the process of copying data from Amazon S3 Bucket to the Amazon Redshift table using the COPY command as follows (Here, we are using “timetable.parquet” as the file name):

copy TABLENAME 
from 
's3://<s3bucket>/<s3folder>/timetable.parquet' 
iam_role 'arn:aws:iam::<actid>:role/<rolenm>' 
format as parquet;

With these two steps, we can now easily set up the Parquet files.

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Conclusion

To conclude, the article provides a method from our Support team to create an Amazon Redshift Parquet Integration. The method involves moving Parquet File to S3 Bucket and then copying data from S3 Bucket to Redshift Warehouse.