Melakukan transaksi dengan PartiQL untuk DynamoDB

public class DynamoDBPartiqlTransaction {

    public static void main(String[] args) {
        // Create the DynamoDB Client with the region you want
        AmazonDynamoDB dynamoDB = createDynamoDbClient("us-west-2");
        
        try {
            // Create ExecuteTransactionRequest
            ExecuteTransactionRequest executeTransactionRequest = createExecuteTransactionRequest();
            ExecuteTransactionResult executeTransactionResult = dynamoDB.executeTransaction(executeTransactionRequest);
            System.out.println("ExecuteTransaction successful.");
            // Handle executeTransactionResult

        } catch (Exception e) {
            handleExecuteTransactionErrors(e);
        }
    }

    private static AmazonDynamoDB createDynamoDbClient(String region) {
        return AmazonDynamoDBClientBuilder.standard().withRegion(region).build();
    }

    private static ExecuteTransactionRequest createExecuteTransactionRequest() {
        ExecuteTransactionRequest request = new ExecuteTransactionRequest();
        
        // Create statements
        List<ParameterizedStatement> statements = getPartiQLTransactionStatements();

        request.setTransactStatements(statements);
        return request;
    }

    private static List<ParameterizedStatement> getPartiQLTransactionStatements() {
        List<ParameterizedStatement> statements = new ArrayList<ParameterizedStatement>();

        statements.add(new ParameterizedStatement()
                               .withStatement("EXISTS(SELECT * FROM "Music" where Artist='No One You Know' and SongTitle='Call Me Today' and Awards is  MISSING)"));

        statements.add(new ParameterizedStatement()
                               .withStatement("INSERT INTO "Music" value {'Artist':'?','SongTitle':'?'}")
                               .withParameters(new AttributeValue("Acme Band"),new AttributeValue("Best Song")));

        statements.add(new ParameterizedStatement()
                               .withStatement("UPDATE "Music" SET AwardsWon=1 SET AwardDetail={'Grammys':[2020, 2018]}  where Artist='Acme Band' and SongTitle='PartiQL Rocks'"));

        return statements;
    }

    // Handles errors during ExecuteTransaction execution. Use recommendations in error messages below to add error handling specific to 
    // your application use-case.
    private static void handleExecuteTransactionErrors(Exception exception) {
        try {
            throw exception;
        } catch (TransactionCanceledException tce) {
            System.out.println("Transaction Cancelled, implies a client issue, fix before retrying. Error: " + tce.getErrorMessage());
        } catch (TransactionInProgressException tipe) {
            System.out.println("The transaction with the given request token is already in progress, consider changing " +
                "retry strategy for this type of error. Error: " + tipe.getErrorMessage());
        } catch (IdempotentParameterMismatchException ipme) {
            System.out.println("Request rejected because it was retried with a different payload but with a request token that was already used, " +
                "change request token for this payload to be accepted. Error: " + ipme.getErrorMessage());
        } catch (Exception e) {
            handleCommonErrors(e);
        }
    }

    private static void handleCommonErrors(Exception exception) {
        try {
            throw exception;
        } catch (InternalServerErrorException isee) {
            System.out.println("Internal Server Error, generally safe to retry with exponential back-off. Error: " + isee.getErrorMessage());
        } catch (RequestLimitExceededException rlee) {
            System.out.println("Throughput exceeds the current throughput limit for your account, increase account level throughput before " + 
                "retrying. Error: " + rlee.getErrorMessage());
        } catch (ProvisionedThroughputExceededException ptee) {
            System.out.println("Request rate is too high. If you're using a custom retry strategy make sure to retry with exponential back-off. " +
                "Otherwise consider reducing frequency of requests or increasing provisioned capacity for your table or secondary index. Error: " + 
                ptee.getErrorMessage());
        } catch (ResourceNotFoundException rnfe) {
            System.out.println("One of the tables was not found, verify table exists before retrying. Error: " + rnfe.getErrorMessage());
        } catch (AmazonServiceException ase) {
            System.out.println("An AmazonServiceException occurred, indicates that the request was correctly transmitted to the DynamoDB " + 
                "service, but for some reason, the service was not able to process it, and returned an error response instead. Investigate and " +
                "configure retry strategy. Error type: " + ase.getErrorType() + ". Error message: " + ase.getErrorMessage());
        } catch (AmazonClientException ace) {
            System.out.println("An AmazonClientException occurred, indicates that the client was unable to get a response from DynamoDB " +
                "service, or the client was unable to parse the response from the service. Investigate and configure retry strategy. "+
                "Error: " + ace.getMessage());
        } catch (Exception e) {
            System.out.println("An exception occurred, investigate and configure retry strategy. Error: " + e.getMessage());
        }
    }

}