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Building Serverless Microservices in Python

You're reading from   Building Serverless Microservices in Python A complete guide to building, testing, and deploying microservices using serverless computing on AWS

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789535297
Length 168 pages
Edition 1st Edition
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Author (1):
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Richard Takashi Freeman Richard Takashi Freeman
Author Profile Icon Richard Takashi Freeman
Richard Takashi Freeman
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Table of Contents (8) Chapters Close

Preface 1. Serverless Microservices Architectures and Patterns 2. Creating Your First Serverless Data API FREE CHAPTER 3. Deploying Your Serverless Stack 4. Testing Your Serverless Microservice 5. Securing Your Microservice 6. Summary and Future Work 7. Other Books You May Enjoy

Running and debugging your AWS Lambda code locally


Sometimes you want to simulate an API Gateway payload with a local Lambda against a real instance of remote DynamoDB hosted in AWS. This allows you to debug and build up unit tests with real data. In addition, we will see how these can later be used in the integration test.

Batch-loading data into DynamoDB

We will first discuss how to batch-load data into DynamoDB from a comma-separated values (CSV) file called sample_data/dynamodb-sample-data.txt. Rather than insert an individual statement for each item, this is a much more efficient process, as the data file is decoupled from the Python code:

EventId,EventDay,EventCount
324,20171010,2
324,20171012,10
324,20171013,10
324,20171014,6
324,20171016,6
324,20171017,2
300,20171011,1
300,20171013,3
300,20171014,30 

Add another method, called update_dynamo_event_counter(), that updates DynamoDB records using the DynamoRepository class.

Here are the contents of the serverless-microservice-data-api/aws_dynamo...

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