Running Batch Operations with PartiQL for DynamoDB - Amazon DynamoDB

Running Batch Operations with PartiQL for DynamoDB

This section describes how to use batch statements with PartiQL for DynamoDB.

Note

The entire batch must consist of either read statements or write statements; you cannot mix both in one batch.

Syntax

[ { "Statement":" statement ", "Parameters":[ { " parametertype " : " parametervalue " }, ...] } , ... ]

Parameters

statement

(Required) A PartiQL for DynamoDB supported statement.

Note

The entire batch must consist of either read statements or write statements; you cannot mix both in one batch.

parametertype

(Optional) A DynamoDB type, if parameters were used when specifying the PartiQL statement.

parametervalue

(Optional) A parameter value if parameters were used when specifying the PartiQL statement.

Examples

AWS CLI
  1. Save the following json to a file called partiql.json

    [ { "Statement": "INSERT INTO Music value {'Artist':'?','SongTitle':'?'}", "Parameters": [{"S": "Acme Band"}, {"S": "Best Song"}] }, { "Statement": "UPDATE Music SET AwardsWon=1 SET AwardDetail={'Grammys':[2020, 2018]} where Artist='Acme Band' and SongTitle='PartiQL Rocks'" } ]
  2. Run the following command in a command prompt.

    aws dynamodb batch-execute-statement --statements file://partiql.json
Java
public class DynamoDBPartiqlBatch { public static void main(String[] args) { // Create the DynamoDB Client with the region you want AmazonDynamoDB dynamoDB = createDynamoDbClient("us-west-2"); try { // Create BatchExecuteStatementRequest BatchExecuteStatementRequest batchExecuteStatementRequest = createBatchExecuteStatementRequest(); BatchExecuteStatementResult batchExecuteStatementResult = dynamoDB.batchExecuteStatement(batchExecuteStatementRequest); System.out.println("BatchExecuteStatement successful."); // Handle batchExecuteStatementResult } catch (Exception e) { handleBatchExecuteStatementErrors(e); } } private static AmazonDynamoDB createDynamoDbClient(String region) { return AmazonDynamoDBClientBuilder.standard().withRegion(region).build(); } private static BatchExecuteStatementRequest createBatchExecuteStatementRequest() { BatchExecuteStatementRequest request = new BatchExecuteStatementRequest(); // Create statements List<BatchStatementRequest> statements = getPartiQLBatchStatements(); request.setStatements(statements); return request; } private static List<BatchStatementRequest> getPartiQLBatchStatements() { List<BatchStatementRequest> statements = new ArrayList<BatchStatementRequest>(); statements.add(new BatchStatementRequest() .withStatement("INSERT INTO Music value {'Artist':'Acme Band','SongTitle':'PartiQL Rocks'}")); statements.add(new BatchStatementRequest() .withStatement("UPDATE Music set AwardDetail.BillBoard=[2020] where Artist='Acme Band' and SongTitle='PartiQL Rocks'")); return statements; } // Handles errors during BatchExecuteStatement execution. Use recommendations in error messages below to add error handling specific to // your application use-case. private static void handleBatchExecuteStatementErrors(Exception exception) { try { throw exception; } catch (Exception e) { // There are no API specific errors to handle for BatchExecuteStatement, common DynamoDB API errors are handled below 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()); } } }