使用适用于 PartiQL 的 DynamoDB 运行批量操作 - Amazon DynamoDB
AWS 文档中描述的 AWS 服务或功能可能因区域而异。要查看适用于中国区域的差异,请参阅中国的 AWS 服务入门

本文属于机器翻译版本。若本译文内容与英语原文存在差异,则一律以英文原文为准。

使用适用于 PartiQL 的 DynamoDB 运行批量操作

本节介绍如何将批处理语句用于 PartiQL 的 DynamoDB。

注意

整个批次必须由读取语句或写入语句组成;您不能将二者混合为一个批次。

Syntax

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

Parameters

statement

(必需)对于 PartiQL 支持的语句为 DynamoDB。

注意

整个批次必须由读取语句或写入语句组成;您不能将二者混合为一个批次。

parametertype

(可选) 一个 DynamoDB 类型(如果在指定 PartiQL 语句时使用参数)。

parametervalue

(可选)如果在指定 PartiQL 语句时使用参数,则为参数值。

Examples

AWS CLI
  1. 将以下 json 保存到名为 partiql.json 的文件

    [ { "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. 在命令提示符中执行以下命令。

    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()); } } }