DynamoDB용 PartiQL에서 일괄 작업 실행 - Amazon DynamoDB

DynamoDB용 PartiQL에서 일괄 작업 실행

이 단원에서는 DynamoDB용 PartiQL에서 배치 문을 사용하는 방법을 설명합니다.

참고
  • 전체 배치는 읽기 문이나 쓰기 문 중 하나로 구성해야 하며, 하나의 배치에서 두 문을 함께 사용할 수는 없습니다.

  • BatchExecuteStatementBatchWriteItem으로 배치당 25개 이하의 문을 실행할 수 있습니다.

구문

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

파라미터

설명

(필수) DynamoDB용 PartiQL에서 지원되는 문입니다.

참고
  • 전체 배치는 읽기 문이나 쓰기 문 중 하나로 구성해야 하며, 하나의 배치에서 두 문을 함께 사용할 수는 없습니다.

  • BatchExecuteStatementBatchWriteItem으로 배치당 25개 이하의 문을 실행할 수 있습니다.

parametertype

(선택 사항) ParitPartiQL 문을 지정할 때 파라미터가 사용된 경우 DynamoDB 형식입니다.

parametervalue

(선택 사항) PartiQL 문을 지정할 때 파라미터가 사용된 경우 파라미터 값입니다.

AWS CLI
  1. 다음 json을 partiql.json이라는 파일에 저장합니다.

    [ { "Statement": "INSERT INTO Music VALUES {'Artist':?,'SongTitle':?}", "Parameters": [{"S": "Acme Band"}, {"S": "Best Song"}] }, { "Statement": "UPDATE Music SET AwardsWon=1, AwardDetail={'Grammys':[2020, 2018]} WHERE Artist='Acme Band' AND SongTitle='PartiQL Rocks'" } ]
  2. 명령 프롬프트에서 다음 명령을 실행합니다.

    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()); } } }