README.md

Spark AWS Dynamo DB

Library for read or write Spark Dataset from/to dynamo db

How to read a Dataset from DynamoDB

• Extends DDBDeserializer, creating the structType
• create The DDBJobConf indicating the dynamo db details
• Use DatasetDDBReader Function

Film Dynamo Deserializer Convert from Dynamo Item to Spark Row

 public class FilmDeserializer extends DDBDeserializer {
 
 
     @Override
     public StructType structType() {
         return DataTypes.createStructType(new StructField[]{
                 DataTypes.createStructField("Film", DataTypes.StringType,false),
                 DataTypes.createStructField("Genre", DataTypes.StringType,false)
         });
     }
 
 }
 

DDBJobConf

 DDBJobConf ddbconf=DDBJobConf.Builder.newInstance()
                .setDdbRegion(region)
                .setWritePercent(writePercent)
                .setWriteThroughput(writeThoughput)
                .setOutputTableName(outputTableName)
                .setDdbEndpoint(endpoint)
                .create();

Use read Function

Dataset<Row> dataset= new DatasetDDBReader().read(new FilmDeserializer(),ddbconf,session)

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How to Write a Dataset from DynamoDB

• Extends DDBSerializer and create the fieldList indicating the column Name and the the specific type.
• create The DDBJobConf indicating the dynamo db details
• read and pass the Dataset to the DatasetDDBWriter function

Film Dynamo Serializer

public class FilmSerializer extends DDBSerializer {
    @Override
    protected List<DDBField> fieldMap() {
          return Arrays.asList(
                new DDBField("Film", StringType.class),
                new DDBField("Genre", StringType.class),
                  new DDBField("Lead Studio", StringType.class),
                  new DDBField("Audience score %", IntegerType.class),
                  new DDBField("Profitability", DecimalType.class),
                  new DDBField("Rotten Tomatoes %", StringType.class),
                  new DDBField("Worldwide Gross", StringType.class),
                  new DDBField("Year", IntegerType.class),
                  new DDBField("Actors", StringType.class)

                  );

    }
}

DDBJobConf

 DDBJobConf ddbconf=DDBJobConf.Builder.newInstance()
                .setDdbRegion(region)
                .setWritePercent(writePercent)
                .setWriteThroughput(writeThoughput)
                .setOutputTableName(outputTableName)
                .setDdbEndpoint(endpoint)
                
                .create();

Write Function

session=SparkSession.builder().master("local").getOrCreate();

inputDataset=session.read.option("header","true").csv("./film.csv);

 new DatasetDDBWriter().write(new FilmSerializer(),ddbconf,session);

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