Replaying archived Genesys Cloud interactions to downstream systems by querying the EventBridge archive API with date-range filters using a Java Spring Batch job

What You Will Build

• A Spring Batch job that extracts archived conversation events from Genesys Cloud EventBridge, applies date-range filters, paginates through results, and replays each event to a downstream HTTP endpoint.
• This implementation uses the Genesys Cloud CX Java SDK (genesys-cloud-sdk-java) and the EventBridge Archive API (/api/v2/eventbridge/archive/events/query).
• The tutorial covers Java 17+, Spring Boot 3.x, and Spring Batch 5.x.

Prerequisites

• OAuth client credentials with the eventbridge:archive:read scope granted.
• Genesys Cloud Java SDK version 1.0.0 or higher (com.mypurecloud.api:genesys-cloud-sdk-java).
• Java 17 runtime and Maven or Gradle build tool.
• Spring Boot 3.2+ with spring-boot-starter-batch and spring-boot-starter-webflux dependencies.
• A downstream system endpoint that accepts JSON payloads over HTTP POST.

Authentication Setup

Genesys Cloud requires OAuth 2.0 Client Credentials flow for server-to-server API access. The Java SDK handles token acquisition and automatic refresh when configured with setClientId, setClientSecret, and setEnvironment. You must register an OAuth client in the Genesys Cloud admin console and assign the eventbridge:archive:read scope.

import com.mypurecloud.api.client.ApiClient;
import com.mypurecloud.api.client.Configuration;
import com.mypurecloud.api.client.auth.OAuth;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration
public class GenesysCloudConfig {

    @Bean
    public ApiClient genesysCloudApiClient() {
        ApiClient apiClient = new ApiClient();
        Configuration config = apiClient.getConfiguration();
        
        config.setHost("api.mypurecloud.com");
        config.setClientId("YOUR_CLIENT_ID");
        config.setClientSecret("YOUR_CLIENT_SECRET");
        config.setEnvironment("us-east-1"); // Adjust to your region
        
        OAuth oAuth = new OAuth(config);
        oAuth.setClientId(config.getClientId());
        oAuth.setClientSecret(config.getClientSecret());
        apiClient.setOAuth(oAuth);
        
        return apiClient;
    }
}

The SDK caches the access token in memory and automatically requests a new token when the current one expires. You do not need to implement manual refresh logic unless you operate behind a strict network proxy that requires custom HTTP interceptors.

Implementation

Step 1: Configure the Genesys Cloud API Client and Date-Range Parameters

The EventBridge archive query accepts a JSON payload with dateFrom, dateTo, eventType, pageSize, and pageToken. You must format timestamps in ISO 8601 with timezone offset. The SDK maps this request to EventBridgeApi.postEventbridgeArchiveEventsQuery.

import com.mypurecloud.api.client.ApiClient;
import com.mypurecloud.api.v2.api.EventBridgeApi;
import com.mypurecloud.api.v2.model.ArchiveEventsQueryRequest;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

import java.time.OffsetDateTime;

@Configuration
public class EventBridgeConfig {

    @Bean
    public EventBridgeApi eventBridgeApi(ApiClient apiClient) {
        return new EventBridgeApi(apiClient);
    }

    @Bean
    public ArchiveEventsQueryRequest archiveQueryRequest(
            @Value("${genesys.archive.date-from:2024-01-01T00:00:00Z}") String dateFrom,
            @Value("${genesys.archive.date-to:2024-01-02T00:00:00Z}") String dateTo,
            @Value("${genesys.archive.event-type:routing:conversation}") String eventType,
            @Value("${genesys.archive.page-size:500}") int pageSize) {
        
        return new ArchiveEventsQueryRequest()
                .dateFrom(OffsetDateTime.parse(dateFrom))
                .dateTo(OffsetDateTime.parse(dateTo))
                .eventType(eventType)
                .pageSize(pageSize);
    }
}

The pageToken field is intentionally omitted during initialization. The Spring Batch reader will manage pagination state by updating the request object after each successful API call.

Step 2: Build the Paginated EventBridge Archive Reader

Spring Batch requires an ItemReader that returns one domain object per read() call or null to signal completion. The EventBridge API returns paginated results with a pageToken for the next batch. This reader maintains state, handles pagination, and translates SDK exceptions into Spring Batch NonTransientResourceException or TransientDataResourceException for retry semantics.

import com.mypurecloud.api.client.ApiException;
import com.mypurecloud.api.v2.api.EventBridgeApi;
import com.mypurecloud.api.v2.model.ArchiveEventsQueryRequest;
import com.mypurecloud.api.v2.model.ArchiveEventsQueryResponse;
import com.mypurecloud.api.v2.model.ArchiveEvent;
import org.springframework.batch.item.ItemReader;
import org.springframework.batch.item.NonTransientResourceException;
import org.springframework.batch.item.ParseException;
import org.springframework.batch.item.UnexpectedInputException;
import org.springframework.stereotype.Component;

import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.atomic.AtomicInteger;

@Component
public class EventBridgeArchiveReader implements ItemReader<ArchiveEvent> {

    private final EventBridgeApi eventBridgeApi;
    private final ArchiveEventsQueryRequest queryRequest;
    private List<ArchiveEvent> currentBatch = new ArrayList<>();
    private final AtomicInteger currentIndex = new AtomicInteger(0);
    private boolean exhausted = false;

    public EventBridgeArchiveReader(EventBridgeApi eventBridgeApi, ArchiveEventsQueryRequest queryRequest) {
        this.eventBridgeApi = eventBridgeApi;
        this.queryRequest = queryRequest;
    }

    @Override
    public ArchiveEvent read() throws Exception {
        if (exhausted && currentIndex.get() >= currentBatch.size()) {
            return null;
        }

        if (currentIndex.get() >= currentBatch.size()) {
            loadNextPage();
        }

        if (currentBatch.isEmpty()) {
            return null;
        }

        return currentBatch.get(currentIndex.getAndIncrement());
    }

    private void loadNextPage() throws Exception {
        try {
            ArchiveEventsQueryResponse response = eventBridgeApi.postEventbridgeArchiveEventsQuery(queryRequest);
            List<ArchiveEvent> events = response.getEvents();
            
            if (events == null || events.isEmpty()) {
                exhausted = true;
                return;
            }

            currentBatch = events;
            currentIndex.set(0);
            
            String nextPageToken = response.getPageToken();
            if (nextPageToken == null || nextPageToken.isBlank()) {
                exhausted = true;
            } else {
                queryRequest.pageToken(nextPageToken);
            }
        } catch (ApiException e) {
            if (e.getCode() == 429) {
                throw new TransientDataResourceException("Rate limit 429 encountered. Retry will trigger.", e);
            } else if (e.getCode() == 401 || e.getCode() == 403) {
                throw new NonTransientResourceException("Authentication or authorization failed. Code: " + e.getCode(), e);
            } else {
                throw new TransientDataResourceException("Transient API error. Code: " + e.getCode(), e);
            }
        }
    }
}

The reader throws TransientDataResourceException for 429 and 5xx errors, which Spring Batch interprets as retryable. It throws NonTransientResourceException for 401 and 403 errors, which immediately fail the step without retry.

Step 3: Implement Downstream Replay Writer with Retry Logic

The ItemWriter receives archived events and forwards them to a downstream system. You must handle network failures, downstream 5xx responses, and implement exponential backoff. Spring Retry integrates cleanly with Spring Batch via RetryTemplate configured on the step.

import com.mypurecloud.api.v2.model.ArchiveEvent;
import org.springframework.batch.item.Chunk;
import org.springframework.batch.item.ItemWriter;
import org.springframework.http.MediaType;
import org.springframework.stereotype.Component;
import org.springframework.web.reactive.function.client.WebClient;
import reactor.core.publisher.Mono;

import java.util.List;

@Component
public class DownstreamReplayWriter implements ItemWriter<ArchiveEvent> {

    private final WebClient downstreamClient;

    public DownstreamReplayWriter(WebClient.Builder webClientBuilder) {
        this.downstreamClient = webClientBuilder
                .baseUrl(System.getenv("DOWNSTREAM_BASE_URL") != null ? System.getenv("DOWNSTREAM_BASE_URL") : "http://localhost:8081")
                .defaultHeader("Content-Type", MediaType.APPLICATION_JSON_VALUE)
                .build();
    }

    @Override
    public void write(Chunk<? extends ArchiveEvent> chunk) throws Exception {
        List<ArchiveEvent> events = chunk.getItems();
        for (ArchiveEvent event : events) {
            downstreamClient.post()
                    .uri("/api/v1/events/replay")
                    .bodyValue(event)
                    .retrieve()
                    .toBodilessEntity()
                    .timeout(java.time.Duration.ofSeconds(10))
                    .block();
        }
    }
}

The writer uses WebClient with a 10-second timeout. If the downstream system returns a 5xx error, toBodilessEntity() throws a WebClientResponseException. You will configure the Spring Batch step to retry on this exception type.

Step 4: Assemble the Spring Batch Job and Step

Spring Batch orchestrates chunk-based processing. You define a Job containing a Step. The step specifies the reader, processor, writer, chunk size, and retry configuration. You must configure a RetryTemplate that targets TransientDataResourceException and WebClientResponseException.

import com.mypurecloud.api.v2.model.ArchiveEvent;
import org.springframework.batch.core.Job;
import org.springframework.batch.core.Step;
import org.springframework.batch.core.job.builder.JobBuilder;
import org.springframework.batch.core.repository.JobRepository;
import org.springframework.batch.core.step.builder.StepBuilder;
import org.springframework.batch.item.ItemProcessor;
import org.springframework.batch.item.ItemReader;
import org.springframework.batch.item.ItemWriter;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.retry.backoff.ExponentialBackOffPolicy;
import org.springframework.retry.policy.SimpleRetryPolicy;
import org.springframework.retry.support.RetryTemplate;
import org.springframework.web.reactive.function.client.WebClientResponseException;

import java.util.Map;

@Configuration
public class BatchJobConfig {

    @Bean
    public Job eventReplayJob(JobRepository jobRepository, Step replayStep) {
        return new JobBuilder("eventReplayJob", jobRepository)
                .start(replayStep)
                .build();
    }

    @Bean
    public Step replayStep(JobRepository jobRepository,
                           ItemReader<ArchiveEvent> reader,
                           ItemProcessor<ArchiveEvent, ArchiveEvent> processor,
                           ItemWriter<ArchiveEvent> writer) {
        
        RetryTemplate retryTemplate = new RetryTemplate();
        
        ExponentialBackOffPolicy backOffPolicy = new ExponentialBackOffPolicy();
        backOffPolicy.setInitialInterval(1000);
        backOffPolicy.setMultiplier(2.0);
        backOffPolicy.setMaxInterval(10000);
        retryTemplate.setBackOffPolicy(backOffPolicy);
        
        Map<Class<? extends Throwable>, Boolean> retryableExceptions = Map.of(
                org.springframework.batch.item.TransientDataResourceException.class, true,
                WebClientResponseException.class, true
        );
        SimpleRetryPolicy retryPolicy = new SimpleRetryPolicy(3, retryableExceptions);
        retryTemplate.setRetryPolicy(retryPolicy);

        return new StepBuilder("replayStep", jobRepository)
                .<ArchiveEvent, ArchiveEvent>chunk(100)
                .reader(reader)
                .processor(processor)
                .writer(writer)
                .faultTolerant()
                .retryTemplate(retryTemplate)
                .build();
    }

    @Bean
    public ItemProcessor<ArchiveEvent, ArchiveEvent> eventProcessor() {
        return event -> {
            // Optional: filter events, enrich metadata, or transform payload
            return event;
        };
    }
}

The chunk size of 100 balances memory usage and downstream throughput. The faultTolerant() configuration enables retry semantics. The RetryTemplate applies exponential backoff for up to 3 attempts on transient errors.

Complete Working Example

Combine the configuration classes into a Spring Boot application. Add the following application.properties and pom.xml dependencies to run the job.

application.properties

genesys.archive.date-from=2024-06-01T00:00:00Z
genesys.archive.date-to=2024-06-02T00:00:00Z
genesys.archive.event-type=routing:conversation
genesys.archive.page-size=500
spring.batch.jdbc.initialize-schema=always
spring.datasource.url=jdbc:h2:mem:batchdb;DB_CLOSE_DELAY=-1
spring.datasource.driver-class-name=org.h2.Driver

pom.xml dependencies snippet

<dependencies>
    <dependency>
        <groupId>com.mypurecloud.api</groupId>
        <artifactId>genesys-cloud-sdk-java</artifactId>
        <version>1.0.0</version>
    </dependency>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-batch</artifactId>
    </dependency>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-webflux</artifactId>
    </dependency>
    <dependency>
        <groupId>com.h2database</groupId>
        <artifactId>h2</artifactId>
        <scope>runtime</scope>
    </dependency>
</dependencies>

EventReplayApplication.java

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.batch.core.Job;
import org.springframework.batch.core.JobExecution;
import org.springframework.batch.core.JobParameters;
import org.springframework.batch.core.JobParametersBuilder;
import org.springframework.batch.core.launch.JobLauncher;
import org.springframework.boot.CommandLineRunner;
import org.springframework.stereotype.Component;

@SpringBootApplication
public class EventReplayApplication {

    public static void main(String[] args) {
        SpringApplication.run(EventReplayApplication.class, args);
    }

    @Component
    static class JobRunner implements CommandLineRunner {
        private final JobLauncher jobLauncher;
        private final Job eventReplayJob;

        public JobRunner(JobLauncher jobLauncher, Job eventReplayJob) {
            this.jobLauncher = jobLauncher;
            this.eventReplayJob = eventReplayJob;
        }

        @Override
        public void run(String... args) throws Exception {
            JobParameters params = new JobParametersBuilder()
                    .addLong("timestamp", System.currentTimeMillis())
                    .toJobParameters();
            
            JobExecution execution = jobLauncher.run(eventReplayJob, params);
            System.out.println("Job Status: " + execution.getStatus());
        }
    }
}

Replace YOUR_CLIENT_ID and YOUR_CLIENT_SECRET in GenesysCloudConfig. Set the DOWNSTREAM_BASE_URL environment variable. Run the application with mvn spring-boot:run. The job will initialize the API client, paginate through archived events within the specified date range, and POST each event to the downstream endpoint.

Common Errors & Debugging

Error: 401 Unauthorized or 403 Forbidden

• Cause: Missing eventbridge:archive:read scope on the OAuth client, expired credentials, or incorrect region configuration.
• Fix: Verify the OAuth client in the Genesys Cloud admin console has the exact scope. Ensure setEnvironment matches your org region. Check that setClientId and setClientSecret contain valid values without trailing whitespace.
• Code adjustment: Log the raw HTTP response headers when ApiException occurs to confirm the WWW-Authenticate challenge.

Error: 429 Too Many Requests

• Cause: Exceeding Genesys Cloud API rate limits (typically 60 requests per minute per client for archive queries).
• Fix: The EventBridgeArchiveReader throws TransientDataResourceException, which triggers the RetryTemplate with exponential backoff. If failures persist, reduce pageSize to 200, introduce a fixed delay between chunks using Thread.sleep(), or distribute queries across multiple OAuth clients.
• Code adjustment: Add a RequestIntervalPolicy to the RetryTemplate if strict pacing is required.

Error: 500 Internal Server Error or 503 Service Unavailable

• Cause: Genesys Cloud backend degradation or downstream system overload.
• Fix: The step configuration retries transient errors. If the downstream system fails consistently, implement a dead-letter queue pattern by catching WebClientResponseException in the writer and routing failed events to a fallback storage mechanism.
• Code adjustment: Replace toBodilessEntity().block() with .doOnError(...) to log payload hashes before retrying.

Error: Pagination Stalls or Duplicate Events

• Cause: Incorrect pageToken handling or overlapping date ranges across multiple job executions.
• Fix: Ensure queryRequest.pageToken(response.getPageToken()) updates the same request object instance. Use JobParameters with unique timestamps to prevent Spring Batch from reusing cached step execution state.
• Code adjustment: Add @StepScope to the reader bean if injecting step context for checkpointing.

Official References

• Genesys Cloud EventBridge Archive API Documentation
• Genesys Cloud Java SDK Reference
• Spring Batch Retry and Fault Tolerance
• OAuth 2.0 Client Credentials Flow