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# Spark+DynamoDB
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Plug-and-play implementation of an Apache Spark custom data source for AWS DynamoDB.
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We published a small article about the project, check it out here:
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https://www.audienceproject.com/blog/tech/sparkdynamodb-using-aws-dynamodb-data-source-apache-spark/
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## Features
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- Distributed, parallel scan with lazy evaluation
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import spark.implicits._
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val vegetableDs = spark.read.dynamodbAs[Vegetable]("VegeTable")
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val avgWeightByColor = vegetableDs.agg($"color", avg($"weightKg")) // The column is called 'weightKg' in the Dataset.
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```
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## Getting The Dependency

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