教程:创建全局表
本节提供分步说明,指导您创建已配置为首选一致性模式的 DynamoDB 全局表。根据应用程序的要求,选择多区域最终一致性(MREC)模式或多区域强一致性(MRSC)模式。
MREC 全局表跨 Amazon Web Services 区域提供较低的写入延迟及最终一致性。MRSC 全局表提供跨区域的强一致性读取,写入延迟略高于 MREC。选择最能满足应用程序对数据一致性、延迟和可用性的需求的一致性模式。
创建配置为 MREC 的全局表
本节介绍如何创建具有多区域最终一致性(MREC)模式的全局表。MREC 是全局表的默认一致性模式,可通过跨 Amazon Web Services 区域的异步复制来提供低延迟写入。在一个区域中对某个项目所做的更改通常会在 1 秒内复制到所有其它区域。这使得 MREC 非常适合以下应用场景:优先考虑低写入延迟,且能够容忍在短时间内不同区域可能返回略有差异的数据版本。
您可以在 DynamoDB 可用的任何 Amazon 区域中创建 MREC 全局表以及副本,并可随时添加或移除副本。以下示例显示了如何在多个区域中创建 MREC 全局表以及副本。
按照以下步骤,使用 Amazon Web Services Management Console创建全局表。以下示例创建一个全局表,其副本表位于美国和欧洲。
-
登录 Amazon Web Services Management Console,并打开 DynamoDB 控制台:https://console.aws.amazon.com/dynamodb/
。 -
对于本示例,从导航栏的区域选择器中选择美国东部(俄亥俄州)。
-
在控制台左侧的导航窗格中,选择表。
-
选择创建表。
-
在创建表页面上:
-
对于表名称,输入
Music
。 -
对于分区键,输入
Artist
。 -
对于排序键,输入
SongTitle
。 -
保留其它默认设置,然后选择创建表。
此新表在新的全局表中用作第一个副本表。这是您稍后添加的其他副本表的原型。
-
-
在表变为活动状态后:
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从表列表中选择 Music 表。
-
选择全局表选项卡。
-
选择创建副本。
-
-
从可用的复制区域下拉菜单中,选择美国西部(俄勒冈州)us-west-2。
控制台将确保所选区域中不存在同名的表。如果有同名的表,则必须删除现有表,然后才能在该区域创建新的副本表。
-
选择创建副本。这将在美国西部(俄勒冈州)us-west-2 区域启动表创建过程。
音乐表(以及任何其他副本表)的全局表选项卡将显示该表已在多个区域中复制。
-
通过重复前面的步骤来添加另一个区域,但选择欧洲地区(法兰克福)eu-central-1 作为区域。
-
测试复制:
-
在美国东部(俄亥俄州)区域,确保您使用的是 Amazon Web Services Management Console。
-
选择 Explore table items(浏览表项目)。
-
选择创建项目。
-
对于艺术家,输入
item_1
;而对于歌名,则输入Song Value 1
。 -
选择创建项目。
-
-
通过切换到其它区域来验证复制:
-
从右上角的区域选择器中,选择欧洲地区(法兰克福)。
-
验证 Music 表中是否包含您创建的项目。
-
对美国西部(俄勒冈州)重复此验证过程。
-
- CLI
-
以下代码示例显示如何使用具有最终一致性的多区域复制(MREC)来管理 DynamoDB 全局表。
使用多区域复制(MREC)创建表。
从副本表中放置和获取项目。
逐一移除副本。
通过删除表来进行清除。
- Amazon CLI 及 Bash 脚本
-
使用多区域复制来创建表。
# Step 1: Create a new table (MusicTable) in US East (Ohio), with DynamoDB Streams enabled (NEW_AND_OLD_IMAGES) aws dynamodb create-table \ --table-name MusicTable \ --attribute-definitions \ AttributeName=Artist,AttributeType=S \ AttributeName=SongTitle,AttributeType=S \ --key-schema \ AttributeName=Artist,KeyType=HASH \ AttributeName=SongTitle,KeyType=RANGE \ --billing-mode PAY_PER_REQUEST \ --stream-specification StreamEnabled=true,StreamViewType=NEW_AND_OLD_IMAGES \ --region us-east-2 # Step 2: Create an identical MusicTable table in US East (N. Virginia) aws dynamodb update-table --table-name MusicTable --cli-input-json \ '{ "ReplicaUpdates": [ { "Create": { "RegionName": "us-east-1" } } ] }' \ --region us-east-2 # Step 3: Create a table in Europe (Ireland) aws dynamodb update-table --table-name MusicTable --cli-input-json \ '{ "ReplicaUpdates": [ { "Create": { "RegionName": "eu-west-1" } } ] }' \ --region us-east-2
描述多区域表。
# Step 4: View the list of replicas created using describe-table aws dynamodb describe-table \ --table-name MusicTable \ --region us-east-2 \ --query 'Table.{TableName:TableName,TableStatus:TableStatus,MultiRegionConsistency:MultiRegionConsistency,Replicas:Replicas[*].{Region:RegionName,Status:ReplicaStatus}}'
将项目放在副本表中。
# Step 5: To verify that replication is working, add a new item to the Music table in US East (Ohio) aws dynamodb put-item \ --table-name MusicTable \ --item '{"Artist": {"S":"item_1"},"SongTitle": {"S":"Song Value 1"}}' \ --region us-east-2
从副本表中获取项目。
# Step 6: Wait for a few seconds, and then check to see whether the item has been # successfully replicated to US East (N. Virginia) and Europe (Ireland) aws dynamodb get-item \ --table-name MusicTable \ --key '{"Artist": {"S":"item_1"},"SongTitle": {"S":"Song Value 1"}}' \ --region us-east-1 aws dynamodb get-item \ --table-name MusicTable \ --key '{"Artist": {"S":"item_1"},"SongTitle": {"S":"Song Value 1"}}' \ --region eu-west-1
移除副本。
# Step 7: Delete the replica table in Europe (Ireland) Region aws dynamodb update-table --table-name MusicTable --cli-input-json \ '{ "ReplicaUpdates": [ { "Delete": { "RegionName": "eu-west-1" } } ] }' \ --region us-east-2 # Delete the replica table in US East (N. Virginia) Region aws dynamodb update-table --table-name MusicTable --cli-input-json \ '{ "ReplicaUpdates": [ { "Delete": { "RegionName": "us-east-1" } } ] }' \ --region us-east-2
通过删除表来进行清除。
# Clean up: Delete the primary table aws dynamodb delete-table --table-name MusicTable --region us-east-2 echo "Global table demonstration complete."
-
有关 API 详细信息,请参阅《Amazon CLI 命令参考》中的以下主题。
-
- Java
-
以下代码示例演示了如何跨多个区域创建和管理 DynamoDB 全局表以及副本。
使用全局二级索引和 DynamoDB Streams 创建一个表。
在不同区域中添加副本以创建全局表。
从全局表中移除副本。
添加测试项目以验证跨区域的复制。
描述全局表配置和副本状态。
- 适用于 Java 的 SDK 2.x
-
使用Amazon SDK for Java 2.x 通过全局二级索引和 DynamoDB Streams 创建一个表。
public static CreateTableResponse createTableWithGSI( final DynamoDbClient dynamoDbClient, final String tableName, final String indexName) { if (dynamoDbClient == null) { throw new IllegalArgumentException("DynamoDB client cannot be null"); } if (tableName == null || tableName.trim().isEmpty()) { throw new IllegalArgumentException("Table name cannot be null or empty"); } if (indexName == null || indexName.trim().isEmpty()) { throw new IllegalArgumentException("Index name cannot be null or empty"); } try { LOGGER.info("Creating table: " + tableName + " with GSI: " + indexName); CreateTableRequest createTableRequest = CreateTableRequest.builder() .tableName(tableName) .attributeDefinitions( AttributeDefinition.builder() .attributeName("Artist") .attributeType(ScalarAttributeType.S) .build(), AttributeDefinition.builder() .attributeName("SongTitle") .attributeType(ScalarAttributeType.S) .build()) .keySchema( KeySchemaElement.builder() .attributeName("Artist") .keyType(KeyType.HASH) .build(), KeySchemaElement.builder() .attributeName("SongTitle") .keyType(KeyType.RANGE) .build()) .billingMode(BillingMode.PAY_PER_REQUEST) .globalSecondaryIndexes(GlobalSecondaryIndex.builder() .indexName(indexName) .keySchema(KeySchemaElement.builder() .attributeName("SongTitle") .keyType(KeyType.HASH) .build()) .projection( Projection.builder().projectionType(ProjectionType.ALL).build()) .build()) .streamSpecification(StreamSpecification.builder() .streamEnabled(true) .streamViewType(StreamViewType.NEW_AND_OLD_IMAGES) .build()) .build(); CreateTableResponse response = dynamoDbClient.createTable(createTableRequest); LOGGER.info("Table creation initiated. Status: " + response.tableDescription().tableStatus()); return response; } catch (DynamoDbException e) { LOGGER.severe("Failed to create table: " + tableName + " - " + e.getMessage()); throw e; } }
使用Amazon SDK for Java 2.x 等待表变为活动状态。
public static void waitForTableActive(final DynamoDbClient dynamoDbClient, final String tableName) { if (dynamoDbClient == null) { throw new IllegalArgumentException("DynamoDB client cannot be null"); } if (tableName == null || tableName.trim().isEmpty()) { throw new IllegalArgumentException("Table name cannot be null or empty"); } try { LOGGER.info("Waiting for table to become active: " + tableName); try (DynamoDbWaiter waiter = DynamoDbWaiter.builder().client(dynamoDbClient).build()) { DescribeTableRequest request = DescribeTableRequest.builder().tableName(tableName).build(); waiter.waitUntilTableExists(request); LOGGER.info("Table is now active: " + tableName); } } catch (DynamoDbException e) { LOGGER.severe("Failed to wait for table to become active: " + tableName + " - " + e.getMessage()); throw e; } }
使用Amazon SDK for Java 2.x 添加副本以创建或扩展全局表。
public static UpdateTableResponse addReplica( final DynamoDbClient dynamoDbClient, final String tableName, final Region replicaRegion, final String indexName, final Long readCapacity) { if (dynamoDbClient == null) { throw new IllegalArgumentException("DynamoDB client cannot be null"); } if (tableName == null || tableName.trim().isEmpty()) { throw new IllegalArgumentException("Table name cannot be null or empty"); } if (replicaRegion == null) { throw new IllegalArgumentException("Replica region cannot be null"); } if (indexName == null || indexName.trim().isEmpty()) { throw new IllegalArgumentException("Index name cannot be null or empty"); } if (readCapacity == null || readCapacity <= 0) { throw new IllegalArgumentException("Read capacity must be a positive number"); } try { LOGGER.info("Adding replica in region: " + replicaRegion.id() + " for table: " + tableName); // Create a ReplicationGroupUpdate for adding a replica ReplicationGroupUpdate replicationGroupUpdate = ReplicationGroupUpdate.builder() .create(builder -> builder.regionName(replicaRegion.id()) .globalSecondaryIndexes(ReplicaGlobalSecondaryIndex.builder() .indexName(indexName) .provisionedThroughputOverride(ProvisionedThroughputOverride.builder() .readCapacityUnits(readCapacity) .build()) .build()) .build()) .build(); UpdateTableRequest updateTableRequest = UpdateTableRequest.builder() .tableName(tableName) .replicaUpdates(replicationGroupUpdate) .build(); UpdateTableResponse response = dynamoDbClient.updateTable(updateTableRequest); LOGGER.info("Replica addition initiated in region: " + replicaRegion.id()); return response; } catch (DynamoDbException e) { LOGGER.severe("Failed to add replica in region: " + replicaRegion.id() + " - " + e.getMessage()); throw e; } }
使用Amazon SDK for Java 2.x 从全局表中移除副本。
public static UpdateTableResponse removeReplica( final DynamoDbClient dynamoDbClient, final String tableName, final Region replicaRegion) { if (dynamoDbClient == null) { throw new IllegalArgumentException("DynamoDB client cannot be null"); } if (tableName == null || tableName.trim().isEmpty()) { throw new IllegalArgumentException("Table name cannot be null or empty"); } if (replicaRegion == null) { throw new IllegalArgumentException("Replica region cannot be null"); } try { LOGGER.info("Removing replica in region: " + replicaRegion.id() + " for table: " + tableName); // Create a ReplicationGroupUpdate for removing a replica ReplicationGroupUpdate replicationGroupUpdate = ReplicationGroupUpdate.builder() .delete(builder -> builder.regionName(replicaRegion.id()).build()) .build(); UpdateTableRequest updateTableRequest = UpdateTableRequest.builder() .tableName(tableName) .replicaUpdates(replicationGroupUpdate) .build(); UpdateTableResponse response = dynamoDbClient.updateTable(updateTableRequest); LOGGER.info("Replica removal initiated in region: " + replicaRegion.id()); return response; } catch (DynamoDbException e) { LOGGER.severe("Failed to remove replica in region: " + replicaRegion.id() + " - " + e.getMessage()); throw e; } }
使用Amazon SDK for Java 2.x 添加测试项目以验证复制。
public static PutItemResponse putTestItem( final DynamoDbClient dynamoDbClient, final String tableName, final String artist, final String songTitle) { if (dynamoDbClient == null) { throw new IllegalArgumentException("DynamoDB client cannot be null"); } if (tableName == null || tableName.trim().isEmpty()) { throw new IllegalArgumentException("Table name cannot be null or empty"); } if (artist == null || artist.trim().isEmpty()) { throw new IllegalArgumentException("Artist cannot be null or empty"); } if (songTitle == null || songTitle.trim().isEmpty()) { throw new IllegalArgumentException("Song title cannot be null or empty"); } try { LOGGER.info("Adding test item to table: " + tableName); Map<String, software.amazon.awssdk.services.dynamodb.model.AttributeValue> item = new HashMap<>(); item.put( "Artist", software.amazon.awssdk.services.dynamodb.model.AttributeValue.builder() .s(artist) .build()); item.put( "SongTitle", software.amazon.awssdk.services.dynamodb.model.AttributeValue.builder() .s(songTitle) .build()); PutItemRequest putItemRequest = PutItemRequest.builder().tableName(tableName).item(item).build(); PutItemResponse response = dynamoDbClient.putItem(putItemRequest); LOGGER.info("Test item added successfully"); return response; } catch (DynamoDbException e) { LOGGER.severe("Failed to add test item to table: " + tableName + " - " + e.getMessage()); throw e; } }
使用Amazon SDK for Java 2.x 描述全局表配置和副本。
public static DescribeTableResponse describeTable(final DynamoDbClient dynamoDbClient, final String tableName) { if (dynamoDbClient == null) { throw new IllegalArgumentException("DynamoDB client cannot be null"); } if (tableName == null || tableName.trim().isEmpty()) { throw new IllegalArgumentException("Table name cannot be null or empty"); } try { LOGGER.info("Describing table: " + tableName); DescribeTableRequest request = DescribeTableRequest.builder().tableName(tableName).build(); DescribeTableResponse response = dynamoDbClient.describeTable(request); LOGGER.info("Table status: " + response.table().tableStatus()); if (response.table().replicas() != null && !response.table().replicas().isEmpty()) { LOGGER.info("Number of replicas: " + response.table().replicas().size()); response.table() .replicas() .forEach(replica -> LOGGER.info( "Replica region: " + replica.regionName() + ", Status: " + replica.replicaStatus())); } return response; } catch (ResourceNotFoundException e) { LOGGER.severe("Table not found: " + tableName + " - " + e.getMessage()); throw e; } catch (DynamoDbException e) { LOGGER.severe("Failed to describe table: " + tableName + " - " + e.getMessage()); throw e; } }
使用Amazon SDK for Java 2.x 进行全局表操作的完整示例。
public static void exampleUsage(final Region sourceRegion, final Region replicaRegion) { String tableName = "Music"; String indexName = "SongTitleIndex"; Long readCapacity = 15L; // Create DynamoDB client for the source region try (DynamoDbClient dynamoDbClient = DynamoDbClient.builder().region(sourceRegion).build()) { try { // Step 1: Create the initial table with GSI and streams LOGGER.info("Step 1: Creating table in source region: " + sourceRegion.id()); createTableWithGSI(dynamoDbClient, tableName, indexName); // Step 2: Wait for table to become active LOGGER.info("Step 2: Waiting for table to become active"); waitForTableActive(dynamoDbClient, tableName); // Step 3: Add replica in destination region LOGGER.info("Step 3: Adding replica in region: " + replicaRegion.id()); addReplica(dynamoDbClient, tableName, replicaRegion, indexName, readCapacity); // Step 4: Wait a moment for replica creation to start Thread.sleep(5000); // Step 5: Describe table to view replica information LOGGER.info("Step 5: Describing table to view replicas"); describeTable(dynamoDbClient, tableName); // Step 6: Add a test item to verify replication LOGGER.info("Step 6: Adding test item to verify replication"); putTestItem(dynamoDbClient, tableName, "TestArtist", "TestSong"); LOGGER.info("Global table setup completed successfully!"); LOGGER.info("You can verify replication by checking the item in region: " + replicaRegion.id()); // Step 7: Remove replica and clean up table LOGGER.info("Step 7: Removing replica from region: " + replicaRegion.id()); removeReplica(dynamoDbClient, tableName, replicaRegion); DeleteTableResponse deleteTableResponse = dynamoDbClient.deleteTable( DeleteTableRequest.builder().tableName(tableName).build()); LOGGER.info("MREC global table demonstration completed successfully!"); } catch (InterruptedException e) { Thread.currentThread().interrupt(); throw new RuntimeException("Thread was interrupted", e); } catch (DynamoDbException e) { LOGGER.severe("DynamoDB operation failed: " + e.getMessage()); throw e; } } }
-
有关 API 详细信息,请参阅《Amazon SDK for Java 2.x API 参考》中的以下主题。
-
创建配置为 MRSC 的全局表
本节介绍如何创建多区域强一致性(MRSC)全局表。MRSC 全局表跨区域同步复制项目更改,确保对任何副本进行的强一致性读取操作始终返回项目的最新版本。
您可以将 MRSC 全局表配置为具有三个副本或两个副本和一个见证者。创建 MRSC 全局表时,您可以选择在其中部署副本和可选见证者的区域。以下示例创建一个 MRSC 全局表,该表在美国东部(弗吉尼亚州北部)和美国东部(俄亥俄州)区域具有副本,而在美国西部(俄勒冈州)区域具有见证者。
按照以下步骤,使用 Amazon Web Services Management Console创建 MRSC 全局表。
登录 Amazon Web Services Management Console,并打开 DynamoDB 控制台:https://console.aws.amazon.com/dynamodb/
。 -
从导航栏的区域选择器中,选择一个支持具有 MRSC 的全局表的区域,如
us-east-2
。 -
在导航窗格中,选择表。
-
选择创建表。
-
在创建表页面上:
-
对于表名称,输入
Music
。 -
对于分区键,输入
Artist
,并保留默认的字符串类型。 -
对于排序键,输入
SongTitle
,并保留默认的字符串类型。 -
保留其它默认设置,然后选择创建表。
此新表在新的全局表中用作第一个副本表。这是您稍后添加的其他副本表的原型。
-
-
等待表变为活动状态,然后从表列表中选择它。
-
选择全局表选项卡,然后选择创建副本。
-
在创建副本页面上:
-
在多区域一致性下,选择强一致性。
-
对于复制区域 1,选择
US East (N. Virginia) us-east-1
。 -
对于复制区域 2,选择
US West (Oregon) us-west-2
。 -
对于美国西部(俄勒冈州)区域,选中配置为见证者。
-
选择创建副本。
-
-
等待副本和见证者创建过程完成。当表准备就绪可供使用时,副本状态将显示为活动。
在开始之前,请确保 IAM 主体拥有创建具有见证区域的 MRSC 全局表所需的权限。必须授权 IAM 主体调用:CreateGlobalTableWitness
、CreateTable
和 CreateTableReplica
。
以下是一个示例 IAM 策略,用于成功创建在美国东部(弗吉尼亚州北部)具有副本,并在美国西部(俄勒冈州)具有见证区域的 DynamoDB 表 (MusicMRSC
)。
- JSON
-
-
{ "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "dynamodb:UpdateTable", "dynamodb:CreateTable", "dynamodb:CreateTableReplica", "dynamodb:CreateGlobalTableWitness" ], "Resource": [ "arn:aws:dynamodb:
us-west-2:123456789123:table
/MusicMRSC
", "arn:aws:dynamodb:us-east-1:123456789123:table
/MusicMRSC
" ] } ] }
以下代码示例显示如何创建和管理具有多区域强一致性(MRSC)的 DynamoDB 全局表。
创建具有多区域强一致性的表。
验证 MRSC 配置和副本状态。
通过即时读取来测试各区域间的强一致性。
使用 MRSC 保证执行条件写入。
清理 MRSC 全局表资源。
- Bash
-
- Amazon CLI 及 Bash 脚本
-
创建具有多区域强一致性的表。
# Step 1: Create a new table in us-east-2 (primary region for MRSC) # Note: Table must be empty when enabling MRSC aws dynamodb create-table \ --table-name MusicTable \ --attribute-definitions \ AttributeName=Artist,AttributeType=S \ AttributeName=SongTitle,AttributeType=S \ --key-schema \ AttributeName=Artist,KeyType=HASH \ AttributeName=SongTitle,KeyType=RANGE \ --billing-mode PAY_PER_REQUEST \ --region us-east-2 # Wait for table to become active aws dynamodb wait table-exists --table-name MusicTable --region us-east-2 # Step 2: Add replica and witness with Multi-Region Strong Consistency # MRSC requires exactly three replicas in supported regions aws dynamodb update-table \ --table-name MusicTable \ --replica-updates '[{"Create": {"RegionName": "us-east-1"}}]' \ --global-table-witness-updates '[{"Create": {"RegionName": "us-west-2"}}]' \ --multi-region-consistency STRONG \ --region us-east-2
验证 MRSC 配置和副本状态。
# Verify the global table configuration and MRSC setting aws dynamodb describe-table \ --table-name MusicTable \ --region us-east-2 \ --query 'Table.{TableName:TableName,TableStatus:TableStatus,MultiRegionConsistency:MultiRegionConsistency,Replicas:Replicas[*],GlobalTableWitnesses:GlobalTableWitnesses[*].{Region:RegionName,Status:ReplicaStatus}}'
通过跨区域即时读取来测试强一致性。
# Write an item to the primary region aws dynamodb put-item \ --table-name MusicTable \ --item '{"Artist": {"S":"The Beatles"},"SongTitle": {"S":"Hey Jude"},"Album": {"S":"The Beatles 1967-1970"},"Year": {"N":"1968"}}' \ --region us-east-2 # Read the item from replica region to verify strong consistency (cannot read or write to witness) # No wait time needed - MRSC provides immediate consistency echo "Reading from us-east-1 (immediate consistency):" aws dynamodb get-item \ --table-name MusicTable \ --key '{"Artist": {"S":"The Beatles"},"SongTitle": {"S":"Hey Jude"}}' \ --consistent-read \ --region us-east-1
使用 MRSC 保证执行条件写入。
# Perform a conditional update from a different region # This demonstrates that conditions work consistently across all regions aws dynamodb update-item \ --table-name MusicTable \ --key '{"Artist": {"S":"The Beatles"},"SongTitle": {"S":"Hey Jude"}}' \ --update-expression "SET #rating = :rating" \ --condition-expression "attribute_exists(Artist)" \ --expression-attribute-names '{"#rating": "Rating"}' \ --expression-attribute-values '{":rating": {"N":"5"}}' \ --region us-east-1
清理 MRSC 全局表资源。
# Remove replica tables (must be done before deleting the primary table) aws dynamodb update-table \ --table-name MusicTable \ --replica-updates '[{"Delete": {"RegionName": "us-east-1"}}]' \ --global-table-witness-updates '[{"Delete": {"RegionName": "us-west-2"}}]' \ --region us-east-2 # Wait for replicas to be deleted echo "Waiting for replicas to be deleted..." sleep 30 # Delete the primary table aws dynamodb delete-table \ --table-name MusicTable \ --region us-east-2
-
有关 API 详细信息,请参阅《Amazon CLI 命令参考》中的以下主题。
-
- Java
-
- 适用于 Java 的 SDK 2.x
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使用Amazon SDK for Java 2.x 创建准备好进行 MRSC 转换的区域表。
public static CreateTableResponse createRegionalTable(final DynamoDbClient dynamoDbClient, final String tableName) { if (dynamoDbClient == null) { throw new IllegalArgumentException("DynamoDB client cannot be null"); } if (tableName == null || tableName.trim().isEmpty()) { throw new IllegalArgumentException("Table name cannot be null or empty"); } try { LOGGER.info("Creating regional table: " + tableName + " (must be empty for MRSC)"); CreateTableRequest createTableRequest = CreateTableRequest.builder() .tableName(tableName) .attributeDefinitions( AttributeDefinition.builder() .attributeName("Artist") .attributeType(ScalarAttributeType.S) .build(), AttributeDefinition.builder() .attributeName("SongTitle") .attributeType(ScalarAttributeType.S) .build()) .keySchema( KeySchemaElement.builder() .attributeName("Artist") .keyType(KeyType.HASH) .build(), KeySchemaElement.builder() .attributeName("SongTitle") .keyType(KeyType.RANGE) .build()) .billingMode(BillingMode.PAY_PER_REQUEST) .build(); CreateTableResponse response = dynamoDbClient.createTable(createTableRequest); LOGGER.info("Regional table creation initiated. Status: " + response.tableDescription().tableStatus()); return response; } catch (DynamoDbException e) { LOGGER.severe("Failed to create regional table: " + tableName + " - " + e.getMessage()); throw DynamoDbException.builder() .message("Failed to create regional table: " + tableName) .cause(e) .build(); } }
使用Amazon SDK for Java 2.x 将区域表转换为具有副本和见证者的 MRSC。
public static UpdateTableResponse convertToMRSCWithWitness( final DynamoDbClient dynamoDbClient, final String tableName, final Region replicaRegion, final Region witnessRegion) { if (dynamoDbClient == null) { throw new IllegalArgumentException("DynamoDB client cannot be null"); } if (tableName == null || tableName.trim().isEmpty()) { throw new IllegalArgumentException("Table name cannot be null or empty"); } if (replicaRegion == null) { throw new IllegalArgumentException("Replica region cannot be null"); } if (witnessRegion == null) { throw new IllegalArgumentException("Witness region cannot be null"); } try { LOGGER.info("Converting table to MRSC with replica in " + replicaRegion.id() + " and witness in " + witnessRegion.id()); // Create replica update using ReplicationGroupUpdate ReplicationGroupUpdate replicaUpdate = ReplicationGroupUpdate.builder() .create(CreateReplicationGroupMemberAction.builder() .regionName(replicaRegion.id()) .build()) .build(); // Create witness update GlobalTableWitnessGroupUpdate witnessUpdate = GlobalTableWitnessGroupUpdate.builder() .create(CreateGlobalTableWitnessGroupMemberAction.builder() .regionName(witnessRegion.id()) .build()) .build(); UpdateTableRequest updateTableRequest = UpdateTableRequest.builder() .tableName(tableName) .replicaUpdates(List.of(replicaUpdate)) .globalTableWitnessUpdates(List.of(witnessUpdate)) .multiRegionConsistency(MultiRegionConsistency.STRONG) .build(); UpdateTableResponse response = dynamoDbClient.updateTable(updateTableRequest); LOGGER.info("MRSC conversion initiated. Status: " + response.tableDescription().tableStatus()); LOGGER.info("UpdateTableResponse full object: " + response); return response; } catch (DynamoDbException e) { LOGGER.severe("Failed to convert table to MRSC: " + tableName + " - " + e.getMessage()); throw DynamoDbException.builder() .message("Failed to convert table to MRSC: " + tableName) .cause(e) .build(); } }
使用Amazon SDK for Java 2.x 描述 MRSC 全局表配置。
public static DescribeTableResponse describeMRSCTable(final DynamoDbClient dynamoDbClient, final String tableName) { if (dynamoDbClient == null) { throw new IllegalArgumentException("DynamoDB client cannot be null"); } if (tableName == null || tableName.trim().isEmpty()) { throw new IllegalArgumentException("Table name cannot be null or empty"); } try { LOGGER.info("Describing MRSC global table: " + tableName); DescribeTableRequest request = DescribeTableRequest.builder().tableName(tableName).build(); DescribeTableResponse response = dynamoDbClient.describeTable(request); LOGGER.info("Table status: " + response.table().tableStatus()); LOGGER.info("Multi-region consistency: " + response.table().multiRegionConsistency()); if (response.table().replicas() != null && !response.table().replicas().isEmpty()) { LOGGER.info("Number of replicas: " + response.table().replicas().size()); response.table() .replicas() .forEach(replica -> LOGGER.info( "Replica region: " + replica.regionName() + ", Status: " + replica.replicaStatus())); } if (response.table().globalTableWitnesses() != null && !response.table().globalTableWitnesses().isEmpty()) { LOGGER.info("Number of witnesses: " + response.table().globalTableWitnesses().size()); response.table() .globalTableWitnesses() .forEach(witness -> LOGGER.info( "Witness region: " + witness.regionName() + ", Status: " + witness.witnessStatus())); } return response; } catch (ResourceNotFoundException e) { LOGGER.severe("Table not found: " + tableName + " - " + e.getMessage()); throw DynamoDbException.builder() .message("Table not found: " + tableName) .cause(e) .build(); } catch (DynamoDbException e) { LOGGER.severe("Failed to describe table: " + tableName + " - " + e.getMessage()); throw DynamoDbException.builder() .message("Failed to describe table: " + tableName) .cause(e) .build(); } }
使用Amazon SDK for Java 2.x 添加测试项目以验证 MRSC 强一致性。
public static PutItemResponse putTestItem( final DynamoDbClient dynamoDbClient, final String tableName, final String artist, final String songTitle, final String album, final String year) { if (dynamoDbClient == null) { throw new IllegalArgumentException("DynamoDB client cannot be null"); } if (tableName == null || tableName.trim().isEmpty()) { throw new IllegalArgumentException("Table name cannot be null or empty"); } if (artist == null || artist.trim().isEmpty()) { throw new IllegalArgumentException("Artist cannot be null or empty"); } if (songTitle == null || songTitle.trim().isEmpty()) { throw new IllegalArgumentException("Song title cannot be null or empty"); } try { LOGGER.info("Adding test item to MRSC global table: " + tableName); Map<String, AttributeValue> item = new HashMap<>(); item.put("Artist", AttributeValue.builder().s(artist).build()); item.put("SongTitle", AttributeValue.builder().s(songTitle).build()); if (album != null && !album.trim().isEmpty()) { item.put("Album", AttributeValue.builder().s(album).build()); } if (year != null && !year.trim().isEmpty()) { item.put("Year", AttributeValue.builder().n(year).build()); } PutItemRequest putItemRequest = PutItemRequest.builder().tableName(tableName).item(item).build(); PutItemResponse response = dynamoDbClient.putItem(putItemRequest); LOGGER.info("Test item added successfully with strong consistency"); return response; } catch (DynamoDbException e) { LOGGER.severe("Failed to add test item to table: " + tableName + " - " + e.getMessage()); throw DynamoDbException.builder() .message("Failed to add test item to table: " + tableName) .cause(e) .build(); } }
使用Amazon SDK for Java 2.x 通过一致性读取从 MRSC 副本中读取项目。
public static GetItemResponse getItemWithConsistentRead( final DynamoDbClient dynamoDbClient, final String tableName, final String artist, final String songTitle) { if (dynamoDbClient == null) { throw new IllegalArgumentException("DynamoDB client cannot be null"); } if (tableName == null || tableName.trim().isEmpty()) { throw new IllegalArgumentException("Table name cannot be null or empty"); } if (artist == null || artist.trim().isEmpty()) { throw new IllegalArgumentException("Artist cannot be null or empty"); } if (songTitle == null || songTitle.trim().isEmpty()) { throw new IllegalArgumentException("Song title cannot be null or empty"); } try { LOGGER.info("Reading item from MRSC global table with consistent read: " + tableName); Map<String, AttributeValue> key = new HashMap<>(); key.put("Artist", AttributeValue.builder().s(artist).build()); key.put("SongTitle", AttributeValue.builder().s(songTitle).build()); GetItemRequest getItemRequest = GetItemRequest.builder() .tableName(tableName) .key(key) .consistentRead(true) .build(); GetItemResponse response = dynamoDbClient.getItem(getItemRequest); if (response.hasItem()) { LOGGER.info("Item found with strong consistency - no wait time needed"); } else { LOGGER.info("Item not found"); } return response; } catch (DynamoDbException e) { LOGGER.severe("Failed to read item from table: " + tableName + " - " + e.getMessage()); throw DynamoDbException.builder() .message("Failed to read item from table: " + tableName) .cause(e) .build(); } }
使用Amazon SDK for Java 2.x 通过 MRSC 保证来执行条件更新。
public static UpdateItemResponse performConditionalUpdate( final DynamoDbClient dynamoDbClient, final String tableName, final String artist, final String songTitle, final String rating) { if (dynamoDbClient == null) { throw new IllegalArgumentException("DynamoDB client cannot be null"); } if (tableName == null || tableName.trim().isEmpty()) { throw new IllegalArgumentException("Table name cannot be null or empty"); } if (artist == null || artist.trim().isEmpty()) { throw new IllegalArgumentException("Artist cannot be null or empty"); } if (songTitle == null || songTitle.trim().isEmpty()) { throw new IllegalArgumentException("Song title cannot be null or empty"); } if (rating == null || rating.trim().isEmpty()) { throw new IllegalArgumentException("Rating cannot be null or empty"); } try { LOGGER.info("Performing conditional update on MRSC global table: " + tableName); Map<String, AttributeValue> key = new HashMap<>(); key.put("Artist", AttributeValue.builder().s(artist).build()); key.put("SongTitle", AttributeValue.builder().s(songTitle).build()); Map<String, String> expressionAttributeNames = new HashMap<>(); expressionAttributeNames.put("#rating", "Rating"); Map<String, AttributeValue> expressionAttributeValues = new HashMap<>(); expressionAttributeValues.put( ":rating", AttributeValue.builder().n(rating).build()); UpdateItemRequest updateItemRequest = UpdateItemRequest.builder() .tableName(tableName) .key(key) .updateExpression("SET #rating = :rating") .conditionExpression("attribute_exists(Artist)") .expressionAttributeNames(expressionAttributeNames) .expressionAttributeValues(expressionAttributeValues) .build(); UpdateItemResponse response = dynamoDbClient.updateItem(updateItemRequest); LOGGER.info("Conditional update successful - demonstrates strong consistency"); return response; } catch (ConditionalCheckFailedException e) { LOGGER.warning("Conditional check failed: " + e.getMessage()); throw e; } catch (DynamoDbException e) { LOGGER.severe("Failed to perform conditional update: " + tableName + " - " + e.getMessage()); throw DynamoDbException.builder() .message("Failed to perform conditional update: " + tableName) .cause(e) .build(); } }
使用Amazon SDK for Java 2.x 等待 MRSC 副本和见证者变为活动状态。
public static void waitForMRSCReplicasActive( final DynamoDbClient dynamoDbClient, final String tableName, final int maxWaitTimeSeconds) throws InterruptedException { if (dynamoDbClient == null) { throw new IllegalArgumentException("DynamoDB client cannot be null"); } if (tableName == null || tableName.trim().isEmpty()) { throw new IllegalArgumentException("Table name cannot be null or empty"); } if (maxWaitTimeSeconds <= 0) { throw new IllegalArgumentException("Max wait time must be positive"); } try { LOGGER.info("Waiting for MRSC replicas and witnesses to become active: " + tableName); final long startTime = System.currentTimeMillis(); final long maxWaitTimeMillis = maxWaitTimeSeconds * 1000L; int backoffSeconds = 5; // Start with 5 second intervals final int maxBackoffSeconds = 30; // Cap at 30 seconds while (System.currentTimeMillis() - startTime < maxWaitTimeMillis) { DescribeTableResponse response = describeMRSCTable(dynamoDbClient, tableName); boolean allActive = true; StringBuilder statusReport = new StringBuilder(); if (response.table().multiRegionConsistency() == null || !MultiRegionConsistency.STRONG .toString() .equals(response.table().multiRegionConsistency().toString())) { allActive = false; statusReport .append("MultiRegionConsistency: ") .append(response.table().multiRegionConsistency()) .append(" "); } if (response.table().replicas() == null || response.table().replicas().isEmpty()) { allActive = false; statusReport.append("No replicas found. "); } if (response.table().globalTableWitnesses() == null || response.table().globalTableWitnesses().isEmpty()) { allActive = false; statusReport.append("No witnesses found. "); } // Check table status if (!"ACTIVE".equals(response.table().tableStatus().toString())) { allActive = false; statusReport .append("Table: ") .append(response.table().tableStatus()) .append(" "); } // Check replica status if (response.table().replicas() != null) { for (var replica : response.table().replicas()) { if (!"ACTIVE".equals(replica.replicaStatus().toString())) { allActive = false; statusReport .append("Replica(") .append(replica.regionName()) .append("): ") .append(replica.replicaStatus()) .append(" "); } } } // Check witness status if (response.table().globalTableWitnesses() != null) { for (var witness : response.table().globalTableWitnesses()) { if (!"ACTIVE".equals(witness.witnessStatus().toString())) { allActive = false; statusReport .append("Witness(") .append(witness.regionName()) .append("): ") .append(witness.witnessStatus()) .append(" "); } } } if (allActive) { LOGGER.info("All MRSC replicas and witnesses are now active: " + tableName); return; } LOGGER.info("Waiting for MRSC components to become active. Status: " + statusReport.toString()); LOGGER.info("Next check in " + backoffSeconds + " seconds..."); tempWait(backoffSeconds); // Exponential backoff with cap backoffSeconds = Math.min(backoffSeconds * 2, maxBackoffSeconds); } throw DynamoDbException.builder() .message("Timeout waiting for MRSC replicas to become active after " + maxWaitTimeSeconds + " seconds") .build(); } catch (DynamoDbException | InterruptedException e) { LOGGER.severe("Failed to wait for MRSC replicas to become active: " + tableName + " - " + e.getMessage()); throw e; } }
使用Amazon SDK for Java 2.x 清理 MRSC 副本和见证者。
public static UpdateTableResponse cleanupMRSCReplicas( final DynamoDbClient dynamoDbClient, final String tableName, final Region replicaRegion, final Region witnessRegion) { if (dynamoDbClient == null) { throw new IllegalArgumentException("DynamoDB client cannot be null"); } if (tableName == null || tableName.trim().isEmpty()) { throw new IllegalArgumentException("Table name cannot be null or empty"); } if (replicaRegion == null) { throw new IllegalArgumentException("Replica region cannot be null"); } if (witnessRegion == null) { throw new IllegalArgumentException("Witness region cannot be null"); } try { LOGGER.info("Cleaning up MRSC replicas and witnesses for table: " + tableName); // Remove replica using ReplicationGroupUpdate ReplicationGroupUpdate replicaUpdate = ReplicationGroupUpdate.builder() .delete(DeleteReplicationGroupMemberAction.builder() .regionName(replicaRegion.id()) .build()) .build(); // Remove witness GlobalTableWitnessGroupUpdate witnessUpdate = GlobalTableWitnessGroupUpdate.builder() .delete(DeleteGlobalTableWitnessGroupMemberAction.builder() .regionName(witnessRegion.id()) .build()) .build(); UpdateTableRequest updateTableRequest = UpdateTableRequest.builder() .tableName(tableName) .replicaUpdates(List.of(replicaUpdate)) .globalTableWitnessUpdates(List.of(witnessUpdate)) .build(); UpdateTableResponse response = dynamoDbClient.updateTable(updateTableRequest); LOGGER.info("MRSC cleanup initiated - removing replica and witness. Response: " + response); return response; } catch (DynamoDbException e) { LOGGER.severe("Failed to cleanup MRSC replicas: " + tableName + " - " + e.getMessage()); throw DynamoDbException.builder() .message("Failed to cleanup MRSC replicas: " + tableName) .cause(e) .build(); } }
使用Amazon SDK for Java 2.x 完成 MRSC 工作流程演示。
public static void demonstrateCompleteMRSCWorkflow( final DynamoDbClient primaryClient, final DynamoDbClient replicaClient, final String tableName, final Region replicaRegion, final Region witnessRegion) throws InterruptedException { if (primaryClient == null) { throw new IllegalArgumentException("Primary DynamoDB client cannot be null"); } if (replicaClient == null) { throw new IllegalArgumentException("Replica DynamoDB client cannot be null"); } if (tableName == null || tableName.trim().isEmpty()) { throw new IllegalArgumentException("Table name cannot be null or empty"); } if (replicaRegion == null) { throw new IllegalArgumentException("Replica region cannot be null"); } if (witnessRegion == null) { throw new IllegalArgumentException("Witness region cannot be null"); } try { LOGGER.info("=== Starting Complete MRSC Workflow Demonstration ==="); // Step 1: Create an empty single-Region table LOGGER.info("Step 1: Creating empty single-Region table"); createRegionalTable(primaryClient, tableName); // Use the existing GlobalTableOperations method for basic table waiting LOGGER.info("Intermediate step: Waiting for table [" + tableName + "] to become active before continuing"); GlobalTableOperations.waitForTableActive(primaryClient, tableName); // Step 2: Convert to MRSC with replica and witness LOGGER.info("Step 2: Converting to MRSC with replica and witness"); convertToMRSCWithWitness(primaryClient, tableName, replicaRegion, witnessRegion); // Wait for MRSC conversion to complete using MRSC-specific waiter LOGGER.info("Waiting for MRSC conversion to complete..."); waitForMRSCReplicasActive(primaryClient, tableName); LOGGER.info("Intermediate step: Waiting for table [" + tableName + "] to become active before continuing"); GlobalTableOperations.waitForTableActive(primaryClient, tableName); // Step 3: Verify MRSC configuration LOGGER.info("Step 3: Verifying MRSC configuration"); describeMRSCTable(primaryClient, tableName); // Step 4: Test strong consistency with data operations LOGGER.info("Step 4: Testing strong consistency with data operations"); // Add test item to primary region putTestItem(primaryClient, tableName, "The Beatles", "Hey Jude", "The Beatles 1967-1970", "1968"); // Immediately read from replica region (no wait needed with MRSC) LOGGER.info("Reading from replica region immediately (strong consistency):"); GetItemResponse getResponse = getItemWithConsistentRead(replicaClient, tableName, "The Beatles", "Hey Jude"); if (getResponse.hasItem()) { LOGGER.info("✓ Strong consistency verified - item immediately available in replica region"); } else { LOGGER.warning("✗ Item not found in replica region"); } // Test conditional update from replica region LOGGER.info("Testing conditional update from replica region:"); performConditionalUpdate(replicaClient, tableName, "The Beatles", "Hey Jude", "5"); LOGGER.info("✓ Conditional update successful - demonstrates strong consistency"); // Step 5: Cleanup LOGGER.info("Step 5: Cleaning up resources"); cleanupMRSCReplicas(primaryClient, tableName, replicaRegion, witnessRegion); // Wait for cleanup to complete using basic table waiter LOGGER.info("Waiting for replica cleanup to complete..."); GlobalTableOperations.waitForTableActive(primaryClient, tableName); // "Halt" until replica/witness cleanup is complete DescribeTableResponse cleanupVerification = describeMRSCTable(primaryClient, tableName); int backoffSeconds = 5; // Start with 5 second intervals while (cleanupVerification.table().multiRegionConsistency() != null) { LOGGER.info("Waiting additional time (" + backoffSeconds + " seconds) for MRSC cleanup to complete..."); tempWait(backoffSeconds); // Exponential backoff with cap backoffSeconds = Math.min(backoffSeconds * 2, 30); cleanupVerification = describeMRSCTable(primaryClient, tableName); } // Delete the primary table deleteTable(primaryClient, tableName); LOGGER.info("=== MRSC Workflow Demonstration Complete ==="); LOGGER.info(""); LOGGER.info("Key benefits of Multi-Region Strong Consistency (MRSC):"); LOGGER.info("- Immediate consistency across all regions (no eventual consistency delays)"); LOGGER.info("- Simplified application logic (no need to handle eventual consistency)"); LOGGER.info("- Support for conditional writes and transactions across regions"); LOGGER.info("- Consistent read operations from any region without waiting"); } catch (DynamoDbException | InterruptedException e) { LOGGER.severe("MRSC workflow failed: " + e.getMessage()); throw e; } }
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有关 API 详细信息,请参阅《Amazon SDK for Java 2.x API 参考》中的以下主题。
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