从Apache Spark读取/写入Dynamo DB [英] read/write dynamo db from apache spark

问题描述

我想知道是否有支持从apache spark(Mesos)的dynamo db(AWS)读/写的Java库，我知道本文中有一些库支持EMR spark https://aws.amazon.com/blogs/big-data/analyze-your-data-on-amazon-dynamodb-with-apache-spark/请告知.

I would like to know if there are any java libraries that support read/write from/to dynamo db (AWS) from apache spark(Mesos), I know there are some libraries to support EMR spark per this article https://aws.amazon.com/blogs/big-data/analyze-your-data-on-amazon-dynamodb-with-apache-spark/ .Please advise.

谢谢普拉迪普

推荐答案

您可以使用 apache spark 和 emr-dynamodb-connector 从DynamoDB表中读取项目并将项目写入DynamoDB表.>图书馆.为了读取数据，可以使用 javaSparkContext.hadoopRDD(jobConf，DynamoDBInputFormat.class，Text.class，DynamoDBItemWritable.class); 并将数据写入DynamoDB: javaPairRDD.saveAsHadoopDataset(jobConf); .下面是一个示例(可在EMR和非EMR环境中使用):

You can read items from and write items to DynamoDB tables using apache spark and emr-dynamodb-connector library. For reading data you can use javaSparkContext.hadoopRDD(jobConf, DynamoDBInputFormat.class, Text.class, DynamoDBItemWritable.class); and for writing data to DynamoDB: javaPairRDD.saveAsHadoopDataset(jobConf);. Below is an example (works in EMR and non-EMR environments):

public static void main(String[] args) throws Exception {
    SparkConf conf = new SparkConf()
            .setAppName("DynamoDBApplication")
            .setMaster("local[4]")
            .registerKryoClasses(new Class<?>[]{
                    Class.forName("org.apache.hadoop.io.Text"),
                    Class.forName("org.apache.hadoop.dynamodb.DynamoDBItemWritable")
            });

    JavaSparkContext sc = new JavaSparkContext(conf);

    JobConf jobConf = getDynamoDbJobConf(sc, "TableNameForRead", "TableNameForWrite");

    // read all items from DynamoDB table with name TableNameForRead
    JavaPairRDD<Text, DynamoDBItemWritable> javaPairRdd = sc.hadoopRDD(jobConf, DynamoDBInputFormat.class, Text.class, DynamoDBItemWritable.class);
    System.out.println("count: " + javaPairRdd.count());

    // process data in any way, below is just a simple example
    JavaRDD<Map<String, AttributeValue>> javaRDD = javaPairRdd.map(t -> {
        DynamoDBItemWritable item = t._2();
        Map<String, AttributeValue> attrs = item.getItem();
        String hashKey = attrs.get("key").getS();
        Long result = Long.valueOf(attrs.get("resultAttribute").getN());
        System.out.println(String.format("hashKey=%s, result=%d", hashKey, result));
        return attrs;
    });
    System.out.println("count: " + javaRDD.count());

    // update JavaPairRdd in order to store it to DynamoDB, below is just a simple example with updating hashKey
    JavaPairRDD<Text, DynamoDBItemWritable> updatedJavaPairRDD = javaPairRdd.mapToPair(t -> {
        DynamoDBItemWritable item = t._2();
        Map<String, AttributeValue> attrs = item.getItem();
        String hashKey = attrs.get("key").getS();
        String updatedHashKey = hashKey + "_new";
        attrs.get("key").setS(updatedHashKey);
        return new Tuple2<>(t._1(), item);
    });

    // write items to DynamoDB table with name TableNameForWrite
    updatedJavaPairRDD.saveAsHadoopDataset(jobConf);

    sc.stop();
}


private static JobConf getDynamoDbJobConf(JavaSparkContext sc, String tableNameForRead, String tableNameForWrite) {
    final JobConf jobConf = new JobConf(sc.hadoopConfiguration());
    jobConf.set("dynamodb.servicename", "dynamodb");

    jobConf.set("dynamodb.input.tableName", tableNameForRead);
    jobConf.set("dynamodb.output.tableName", tableNameForWrite);

    jobConf.set("dynamodb.awsAccessKeyId", "YOUR_AWS_ACCESS_KEY");
    jobConf.set("dynamodb.awsSecretAccessKey", "YOUR_AWS_SECRET_KEY");
    jobConf.set("dynamodb.endpoint", "dynamodb.us-west-1.amazonaws.com");
    jobConf.set("mapred.output.format.class", "org.apache.hadoop.dynamodb.write.DynamoDBOutputFormat");
    jobConf.set("mapred.input.format.class", "org.apache.hadoop.dynamodb.read.DynamoDBInputFormat");

    return jobConf;
}

要运行此代码，您需要以下maven依赖项:

For running this code you need the following maven dependencies:

<dependencies>

    <dependency>
        <groupId>com.fasterxml.jackson.core</groupId>
        <artifactId>jackson-core</artifactId>
        <version>2.6.0</version>
    </dependency>
    <dependency>
        <groupId>com.fasterxml.jackson.core</groupId>
        <artifactId>jackson-databind</artifactId>
        <version>2.6.0</version>
    </dependency>
    <dependency>
        <groupId>com.fasterxml.jackson.core</groupId>
        <artifactId>jackson-annotations</artifactId>
        <version>2.6.0</version>
    </dependency>
    <dependency>
        <groupId>com.fasterxml.jackson.module</groupId>
        <artifactId>jackson-module-scala_2.10</artifactId>
        <version>2.6.0</version>
    </dependency>

    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-core_2.10</artifactId>
        <version>${spark.version}</version>
    </dependency>
    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-sql_2.10</artifactId>
        <version>${spark.version}</version>
    </dependency>

    <dependency>
        <groupId>com.amazonaws</groupId>
        <artifactId>aws-java-sdk-emr</artifactId>
        <version>1.11.113</version>
    </dependency>
    <dependency>
        <groupId>com.amazonaws</groupId>
        <artifactId>aws-java-sdk-dynamodb</artifactId>
        <version>1.11.113</version>
    </dependency>

    <!-- https://github.com/awslabs/emr-dynamodb-connector -->
    <dependency>
        <groupId>com.amazon.emr</groupId>
        <artifactId>emr-dynamodb-hadoop</artifactId>
        <version>4.2.0</version>
    </dependency>

    <dependency>
        <groupId>org.apache.hadoop</groupId>
        <artifactId>hadoop-aws</artifactId>
        <version>2.8.0</version>
    </dependency>

</dependencies>

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