sqs-extended-client 0.0.9

AWS SQS extended client functionality from amazon-sqs-java-extended-client-lib

sqs-extended-client

Implements the functionality of amazon-sqs-java-extended-client-lib in Python

Installation

pip install sqs-extended-client

Overview

sqs-extended-client allows for sending large messages through SQS via S3. This is the same mechanism that the Amazon library amazon-sqs-java-extended-client-lib provides. This library is interoperable with that library.

To do this, this library automatically extends the normal boto3 SQS client and Queue resource classes upon import using the botoinator library. This allows for further extension or decoration if desired.

Usage

Note

The s3 bucket must already exist prior to usage, and be accessible by whatever credentials you have available

Enabling support for large payloads (>256Kb)

import boto3
import sqs_extended_client

# Low level client
sqs = boto3.client('sqs')
sqs.large_payload_support = 'my-bucket-name'

# boto resource
resource = boto3.resource('sqs')
queue = resource.Queue('queue-url')

# Or
queue = resource.create_queue(QueueName='queue-name')

queue.large_payload_support = 'my-bucket-name'

Arguments:

• large_payload_support -- the S3 bucket name that will store large messages.

Enabling support for large payloads (>64K)

import boto3
import sqs_extended_client

# Low level client
sqs = boto3.client('sqs')
sqs.large_payload_support = 'my-bucket-name'
sqs.message_size_threshold = 65536

# boto resource
resource = boto3.resource('sqs')
queue = resource.Queue('queue-url')

# Or
queue = resource.create_queue(QueueName='queue-name')

queue.large_payload_support = 'my-bucket-name'
queue.message_size_threshold = 65536

Arguments:

• message_size_threshold -- the threshold for storing the message in the large messages bucket. Cannot be less than 0 or greater than 262144

Enabling support for large payloads for all messages

import boto3
import sqs_extended_client

# Low level client
sqs = boto3.client('sqs')
sqs.large_payload_support = 'my-bucket-name'
sqs.always_through_s3 = True

# boto resource
resource = boto3.resource('sqs')
queue = resource.Queue('queue-url')

# Or
queue = resource.create_queue(QueueName='queue-name')

queue.large_payload_support = 'my-bucket-name'
queue.always_through_s3 = True

Arguments:

• always_through_s3 -- if True, then all messages will be serialized to S3.