Connect Different AWS Services Using Boto3 Library in Python

In this article, we will see how you can use Boto3 library in Python to connect with different AWS services.

Example

• Connect with AWS S3.

• Connect with AWS Glue Job

• Connect with AWS SQS and many more.

Approach/Algorithm to solve this problem

Step 1 − Create an AWS session using Boto3 library.

Step 2 − Pass the AWS service name in client to get a low-level service access.

Or, pass the AWS service name in resource to get high-level object-oriented service access/highlevel interface.

Example

The following code connects with different AWS services −

import boto3
# To get AWS Client
def getconnection_AWSClient(service_name):
   session = boto3.session.Session()
   # User can pass customized access key, secret_key and token as well
   s3_client = session.client(service_name)
   return s3_client
print(getconnection_AWSClient('s3')) # for s3 connection
print(getconnection_AWSClient('glue')) # for glue connection
print(getconnection_AWSClient('sqs')) # for sqs connection and other services

# To get AWS Resource
def getconnection_AWSResource(service_name):
   session = boto3.session.Session()
   # User can pass customized access key, secret_key and token as well
   s3_resource = session.resource(service_name)
   return s3_resource

print(getconnection_AWSResource('s3')) # for s3 connection
print(getconnection_AWSResource('sqs')) # for sqs connection and other services

Output

<botocore.client.S3 object at 0x00000216C4CB89B0>
<botocore.client.Glue object at 0x00000216C5129358>
<botocore.client.SQS object at 0x00000216C4E03E10>
s3.ServiceResource()
sqs.ServiceResource()

Note that resource doesn’t support all the services to connect. For example, if the user tries to connect glue service using resource, then AWS throws the following exception −

boto3.exceptions.ResourceNotExistsError: The 'glue' resource does not exist.

Consider using a boto3.client('glue') instead of a resource for 'glue'

Following services are supported by resource −

• cloudformation

• cloudwatch

• dynamodb

• ec2

• glacier

• iam

• opsworks

• s3

• sns

• sqs