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

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": "year_id = 1985",

                  "filterQuery": "rating > 5"

                  "partitionKey": "Id",

                  "sortKey": "salary"

    }

}

Approach(s)

1. Dropdown with the list of regions will be provided to user, to select the region for AWS Dynamo DB to connect to. Supported regions are:         
   "us-gov-west-1", "us-east-1", "us-east-2", "us-west-1", "us-west-2", "eu-west-1", "eu-west-2", "eu-central-1", "ap-south-1","ap-southeast-1", "ap-southeast-2", "ap-northeast-1", "ap-northeast-2", "sa-east-1", "cn-north-1", "ca-central-1", "getCurrentRegion".   (Referred from: http://docs.aws.amazon.com/AWSJavaSDK/latest/javadoc/
   http://docs.aws.amazon.com/general/latest/gr/rande.html#ddb_region)
   
   
2.  If user does not select any region, then default region will be used, i.e. us_west_2.
   
   
3. getCurrentRegion from the list, returns a Region object representing the region the application is running in, when running in EC2. If this method is called from a non-EC2 environment, it will return null.
   
   
4. User will provide the complete query(fields and its value, conditions, expressions and constraints if any) through “Query” widget, that will be used to fetch the data. For example: year_id = 1985 and rating > 5
   
   
5. If there is any filter query required to fetch the data, it can be provided through “Filter Query” widget.

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.
• filterQuery: Query that will be used to filter the fetched data, before returning the final results.
• 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