Introduction

A batch source that ingests data from dynamodb into hydrator pipelines.

Use case(s)

• For an organization all the spam emails are being dumped to dynamodb table. As a data scientist I want to train my machine learning models in hydrator pipelines based on the data from the dynamodb tables.
  
  

User Storie(s)

• User should be able to provide the table name in DynamoDb.
• User should be able to provide the AWS endpoint url for DynamoDb instance.
• User should be able to provide the AWS region id for DynamoDb instance.
• User should be able to provide the throughput for DynamoDb instance. (Dynamo db charges are incurred based on throughput and user should be able to control the throughput)
• User should be able to provide the AWS access id.
• User should be able to provide the AWS access key.
  
  
  

Plugin Type

•  Batch Source
•  Batch Sink 
•  Real-time Source
•  Real-time Sink
•  Action
•  Post-Run Action
•  Aggregate
•  Join
•  Spark Model
•  Spark Compute

Configurables

This section defines properties that are configurable for this plugin. 

Design / Implementation Tips

• For Testing purposes tables can be created either using AWS cli or using java code http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/JavaDocumentAPITablesExample.html
• AWS dynamoDb cli refrence http://docs.aws.amazon.com/cli/latest/reference/dynamodb/
• Java example for CRUD operations http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/batch-operation-document-api-java.html
• Java Example for working with queries http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/QueryingJavaDocumentAPI.html
• Please reuse/modify RecordReader, InputFormat classes present here https://github.com/awslabs/emr-dynamodb-connector

Design

We will provide dropdown with the list of supported regions to user, to select the region for AWS Dynamo DB to connect to.

Dynamo Db JSON Format:

{

  "name": "DynamoDb",

  "type": "batchsource",

    "properties": {

                  "accessKey": "xyz",

                  "secretAccessKey": "abc",

                  "regionId": "us-east-1",

                  "endpointUrl": "localhost:8000",

                  "tableName": "Movies",

                  "throughput": "10",

                  "query": "ID = :v_ID",

                  "queryArgumentsMap": ":v_Id=198"

                  "partitionKey": "Id",

                  "sortKey": "salary"

    }

}

Approach(s)

Properties

• endpointUrl: aws endpoint http://docs.aws.amazon.com/general/latest/gr/rande.html#ddb_region This could be reconstructed using regionId.
• regionId: The region for AWS Dynamo DB to connect to.
• accessKey: Access key for AWS Dynamo DB.
• secretAccessKey: Secret access key for AWS Dynamo DB.
• tableName: The table to read the data from.
• throughput: Intended throughput for AWS Dynamo DB.
• query: The query that will fetch the data from table.
• queryArgumentsMap: Comma separated list of arguments identifier specified in "Query" along with its value. Key and value are separated by equality operator.
• partitionKey: Partition key, that will be used to fetch the data from table.
• sortKey: Sort Key, that will be used to sort/refine the fetched data from table.

Security

• The AWS access keys should be a password field and macros enabled

Limitation(s)

Future Work

Test Case(s)

Sample Pipeline