Java SDK¶
The Java SDK (aws-durable-execution-sdk-java) runs in your Lambda functions and
provides DurableHandler, DurableContext, durable operations, configurable
serialization, and local/cloud testing utilities.
The SDK supports Java 17 and newer. Virtual threads require Java 21.
Installation¶
Add the execution SDK to the Lambda function package. Replace the version with the latest release from Maven Central.
<dependency>
<groupId>software.amazon.lambda.durable</groupId>
<artifactId>aws-durable-execution-sdk-java</artifactId>
<version>2.2.0</version>
</dependency>
<dependency>
<groupId>com.amazonaws</groupId>
<artifactId>aws-lambda-java-core</artifactId>
<version>1.4.0</version>
</dependency>
For local and cloud tests, add the testing SDK in test scope:
<dependency>
<groupId>software.amazon.lambda.durable</groupId>
<artifactId>aws-durable-execution-sdk-java-testing</artifactId>
<version>2.2.0</version>
<scope>test</scope>
</dependency>
Package the Lambda as a shaded jar so the SDK and its dependencies are available at runtime:
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>3.6.2</version>
<configuration>
<createDependencyReducedPom>false</createDependencyReducedPom>
</configuration>
<executions>
<execution>
<phase>package</phase>
<goals><goal>shade</goal></goals>
</execution>
</executions>
</plugin>
Usage¶
Extend DurableHandler<I, O> and implement handleRequest(I input, DurableContext ctx).
Use the context to create steps, waits, callbacks, child contexts, invokes, maps, and
parallel branches.
import java.time.Duration;
import software.amazon.lambda.durable.DurableContext;
import software.amazon.lambda.durable.DurableHandler;
public class OrderProcessor extends DurableHandler<Order, OrderResult> {
@Override
public OrderResult handleRequest(Order order, DurableContext ctx) {
var reservation = ctx.step("reserve-inventory", Reservation.class,
stepCtx -> inventoryService.reserve(order.items()));
ctx.wait("warehouse-delay", Duration.ofHours(2));
var shipment = ctx.step("ship-order", Shipment.class,
stepCtx -> shippingService.ship(reservation, order.address()));
return new OrderResult(order.id(), shipment.trackingNumber());
}
}
Operation names are required in Java. Use stable, descriptive names so replay can match new execution to checkpointed state.
Configuration¶
Override createConfiguration() to customize serialization, the Lambda client, logging,
polling, checkpoint batching, plugins, or the executor used for user-defined async work.
import java.time.Duration;
import java.util.concurrent.Executors;
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.lambda.LambdaClient;
import software.amazon.lambda.durable.DurableConfig;
import software.amazon.lambda.durable.DurableContext;
import software.amazon.lambda.durable.DurableHandler;
public class ConfiguredHandler extends DurableHandler<Input, Output> {
@Override
protected DurableConfig createConfiguration() {
var lambdaClientBuilder = LambdaClient.builder()
.region(Region.US_WEST_2);
return DurableConfig.builder()
.withLambdaClientBuilder(lambdaClientBuilder)
.withExecutorService(Executors.newFixedThreadPool(16))
.withCheckpointDelay(Duration.ofMillis(10))
.build();
}
@Override
public Output handleRequest(Input input, DurableContext ctx) {
// Durable function logic
}
}
The configured executor is used for user operations such as async steps and concurrent branches. Internal SDK polling and checkpoint coordination use SDK-managed threads.
DurableConfig options¶
DurableConfig.builder() supports the following Java SDK settings:
| Builder method | Purpose | Default |
|---|---|---|
withLambdaClientBuilder(...) |
Customize the production AWS SDK client. See Custom Lambda client. | Client configured from the Lambda environment |
withDurableExecutionClient(...) |
Supply a DurableExecutionClient, primarily for tests and custom infrastructure. |
Lambda-backed client |
withSerDes(...) |
Set the default serializer for handler inputs, outputs, and durable operation state. See Serialization. | JacksonSerDes |
withExecutorService(...) |
Set the executor for user-defined async and concurrent work. | Cached daemon thread pool |
withLoggerConfig(...) |
Configure replay suppression and MDC key compatibility. See Logging. | Suppress replay logs and use 2.x MDC keys |
withPollingStrategy(...) |
Configure delays while polling the durable execution backend. | PollingStrategies.Presets.DEFAULT |
withCheckpointDelay(...) |
Delay checkpoint submission briefly so concurrent updates can be batched. | Duration.ZERO |
withDeserializeAfterSerialization(...) |
Round-trip serialized operation results and exceptions before checkpointing. | true |
withCheckpointEmptyMap(...) |
Emit checkpoints for empty map operations. This is a temporary compatibility option. | false |
withPlugins(...) |
Register lifecycle plugins explicitly. See Plugins. | No explicit plugins |
withDurableExecutionClient(...) replaces the SDK's backend client. For normal
production customization such as credentials, Region, HTTP settings, or AWS SDK retry
policies, use withLambdaClientBuilder(...).
Backend polling¶
Backend polling is distinct from durable waits and user-code retry strategies. It controls how often the SDK checks for checkpoint and operation status updates.
The default uses exponential backoff with a 1-second base interval, a 2x backoff rate,
full jitter, and a 10-second maximum interval. Configure a different strategy with
PollingStrategies:
var polling = PollingStrategies.exponentialBackoff(
Duration.ofMillis(500),
1.5,
JitterStrategy.HALF,
Duration.ofSeconds(5));
return DurableConfig.builder()
.withPollingStrategy(polling)
.build();
Use PollingStrategies.fixedDelay(Duration) for a constant interval or
PollingStrategies.at(Instant) to schedule a poll at a specific time.
Checkpoint batching¶
By default, withCheckpointDelay(Duration.ZERO) submits checkpoint updates as soon as
possible. A short delay lets the SDK combine updates produced by concurrent operations
into fewer backend requests:
A longer delay can improve batching but also increases the time before completed work becomes durable. Use a small value and validate the latency tradeoff for your workload.
Serialization round-trip validation¶
Java immediately deserializes serialized operation results and exceptions by default.
This catches incompatible custom SerDes implementations before checkpointing and
keeps values returned during initial execution consistent with values returned during
replay.
You can disable the additional deserialize pass:
Warning
Disabling validation can hide serialization failures until replay, and initial execution may return a different value shape than replay. Custom serializers must remain round-trip safe even when validation is disabled.
Load plugins dynamically¶
withPlugins(...) registers plugin instances in application code. Java can also load
plugin providers from the application class path. Set DURABLE_EXECUTION_PLUGINS to an
ordered, comma-separated list of provider names:
The SDK discovers DurableExecutionPluginProvider implementations with
ServiceLoader, but creates only the providers named in the environment variable.
Dynamically loaded plugins run first in the listed order, followed by plugins supplied
through withPlugins(...).
For a Lambda layer, place the provider JAR under java/lib. The JAR must contain this
service-provider configuration file:
The file contains the provider implementation class name. If you shade multiple
providers into one JAR, configure the build to merge META-INF/services entries.
Invalid or missing providers, duplicate configured or discovered provider names, and
incompatible provider API versions cause DurableConfig construction to throw
IllegalStateException.
2.x Upgrade¶
When upgrading from 1.x to 2.x, review the Java SDK migration guide in the
SDK repository.
The main changes are:
- Replace
StepConfig.builder().semantics(...)withsemanticsPerRetry(...). - Preserve old
AT_MOST_ONCE_PER_RETRYbehavior by also settingretryStrategy(RetryStrategies.Presets.NO_RETRY). - Update log queries and dashboards from
durableExecutionArn,contextId, andcontextNametoexecutionArn,operationId, andoperationName. - Move replay checks to
DurableContext.isReplaying();StepContextno longer exposes replay state. - Update tests and error handling that expect invalid context usage to throw
IllegalDurableOperationException;2.xthrowsIllegalStateException. - Verify custom
SerDesimplementations can deserialize values immediately after serialization.2.xvalidates this round trip before checkpointing by default.
Useful searches before upgrading:
rg -n "\.semantics\(" .
rg -n "durableExecutionArn|contextId|contextName" .
rg -n "isReplaying|StepContext" .
If you need a temporary log compatibility window, configure old MDC key names while dashboards are migrated:
import software.amazon.lambda.durable.DurableConfig;
import software.amazon.lambda.durable.logging.LoggerConfig;
@Override
protected DurableConfig createConfiguration() {
return DurableConfig.builder()
.withLoggerConfig(new LoggerConfig(true, true))
.build();
}
FAQ¶
Can I use a virtual thread pool?¶
Yes. The SDK baseline is Java 17, so it does not use virtual threads by default. On
Java 21 or newer, provide a virtual-thread executor through DurableConfig.
import java.util.concurrent.Executors;
import software.amazon.lambda.durable.DurableConfig;
@Override
protected DurableConfig createConfiguration() {
return DurableConfig.builder()
.withExecutorService(Executors.newVirtualThreadPerTaskExecutor())
.build();
}
This executor only runs user-defined operation code. Virtual threads can help when you create many concurrent async steps or branches, but they do not remove Lambda memory, timeout, downstream service, or durable execution service limits.
Can a Java durable function be triggered by SQS, SNS, EventBridge, or other event sources?¶
Yes, but Java event model deserialization needs care. The default user-data serializer is
the SDK's Jackson-based JacksonSerDes, not the same serializer the Lambda Java runtime
uses for event classes from aws-lambda-java-events. For broad event-source support, add
the Lambda Java serialization library, which provides the
com.amazonaws.services.lambda.runtime.serialization package, and route Lambda event
classes through it.
<dependency>
<groupId>com.amazonaws</groupId>
<artifactId>aws-lambda-java-serialization</artifactId>
<version>VERSION</version>
</dependency>
Then provide a SerDes adapter:
import com.amazonaws.services.lambda.runtime.serialization.events.LambdaEventSerializers;
import java.lang.reflect.Type;
import software.amazon.lambda.durable.DurableConfig;
import software.amazon.lambda.durable.TypeToken;
import software.amazon.lambda.durable.serde.JacksonSerDes;
import software.amazon.lambda.durable.serde.SerDes;
@Override
protected DurableConfig createConfiguration() {
return DurableConfig.builder()
.withSerDes(new LambdaEventSerDes())
.build();
}
final class LambdaEventSerDes implements SerDes {
private final SerDes fallback = new JacksonSerDes();
private final ClassLoader classLoader = Thread.currentThread().getContextClassLoader();
@Override
public String serialize(Object value) {
return fallback.serialize(value);
}
@Override
public <T> T deserialize(String data, TypeToken<T> typeToken) {
Type type = typeToken.getType();
if (type instanceof Class<?> clazz && isLambdaEvent(clazz)) {
@SuppressWarnings("unchecked")
var serializer = LambdaEventSerializers.serializerFor((Class<T>) clazz, classLoader);
return serializer.fromJson(data);
}
return fallback.deserialize(data, typeToken);
}
private static boolean isLambdaEvent(Class<?> clazz) {
return clazz.getName().startsWith("com.amazonaws.services.lambda.runtime.events.");
}
}
This pattern addresses the event-trigger deserialization problem discussed in
aws/aws-durable-execution-sdk-java#366.
The configured SerDes is also used as the default for steps, child contexts, callbacks,
and other operations unless an operation-specific config provides its own serializer.
Can I use Lambda SnapStart?¶
Yes, but avoid the Java SDK default Lambda client if SnapStart restores a snapshot after
the environment-variable credentials captured at initialization have expired. The
default client uses EnvironmentVariableCredentialsProvider, which can cause
authentication failures after restore.
For SnapStart, provide your own LambdaClient with a credentials provider that refreshes
after restore, then pass it to withLambdaClientBuilder(...):
import software.amazon.awssdk.auth.credentials.ContainerCredentialsProvider;
import software.amazon.awssdk.regions.Region;
import software.amazon.awssdk.services.lambda.LambdaClient;
import software.amazon.lambda.durable.DurableConfig;
@Override
protected DurableConfig createConfiguration() {
var lambdaClientBuilder = LambdaClient.builder()
.region(Region.of(System.getenv("AWS_REGION")))
.credentialsProvider(ContainerCredentialsProvider.builder().build());
return DurableConfig.builder()
.withLambdaClientBuilder(lambdaClientBuilder)
.build();
}
If you customize the Lambda client for SnapStart, keep the region explicit and avoid caching resolved credentials yourself during initialization.
Where is the Java SDK source and API reference?¶
The source is in aws/aws-durable-execution-sdk-java. The generated Javadoc is published at aws.github.io/aws-durable-execution-sdk-java/javadoc.