Building a Genesys Cloud Interaction Search Index with Java

What You Will Build

• A Java microservice that configures a Genesys Cloud EventBridge destination, receives interaction events via HTTP webhook, and indexes them into Elasticsearch.
• The service applies custom Elasticsearch analyzers, enforces data retention through Index Lifecycle Management, and exposes a faceted search API filtered by date range and queue.
• The implementation uses Spring Boot 3.x, the Genesys Cloud Java SDK, and the official Elasticsearch Java API client.

Prerequisites

• Genesys Cloud OAuth client credentials with eventbridge:read and eventbridge:write scopes
• Elasticsearch 8.x cluster with Index Lifecycle Management enabled
• Java 17+ runtime and Maven or Gradle build tool
• Dependencies: com.mypurecloud.platform:platform-client-java, co.elastic.clients:elasticsearch-java, spring-boot-starter-web, com.fasterxml.jackson.core:jackson-databind

Authentication Setup

Genesys Cloud uses OAuth 2.0 Client Credentials Grant for server-to-server integration. The following service handles token acquisition, expiration tracking, and automatic refresh before token expiry.

import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
import java.io.IOException;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.time.Instant;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.atomic.AtomicReference;

public class GenesysAuthService {
    private static final String TOKEN_ENDPOINT = "https://api.mypurecloud.com/oauth/token";
    private final HttpClient httpClient = HttpClient.newHttpClient();
    private final ObjectMapper mapper = new ObjectMapper();
    private final AtomicReference<Map<String, Object>> tokenCache = new AtomicReference<>(Map.of());
    private volatile Instant tokenExpiry = Instant.MIN;
    private final String clientId;
    private final String clientSecret;

    public GenesysAuthService(String clientId, String clientSecret) {
        this.clientId = clientId;
        this.clientSecret = clientSecret;
    }

    public String getAccessToken() throws IOException, InterruptedException {
        Instant now = Instant.now();
        if (now.isBefore(tokenExpiry.minusSeconds(60))) {
            return (String) tokenCache.get().get("access_token");
        }
        synchronized (this) {
            if (now.isBefore(tokenExpiry.minusSeconds(60))) {
                return (String) tokenCache.get().get("access_token");
            }
            refreshToken();
        }
        return (String) tokenCache.get().get("access_token");
    }

    private void refreshToken() throws IOException, InterruptedException {
        String body = "grant_type=client_credentials&client_id=" + clientId + "&client_secret=" + clientSecret;
        HttpRequest request = HttpRequest.newBuilder()
                .uri(URI.create(TOKEN_ENDPOINT))
                .header("Content-Type", "application/x-www-form-urlencoded")
                .POST(HttpRequest.BodyPublishers.ofString(body))
                .build();

        HttpResponse<String> response = httpClient.send(request, HttpResponse.BodyHandlers.ofString());
        if (response.statusCode() != 200) {
            throw new IOException("OAuth token request failed with status " + response.statusCode() + ": " + response.body());
        }

        JsonNode json = mapper.readTree(response.body());
        String token = json.get("access_token").asText();
        long expiresIn = json.get("expires_in").asLong();
        
        Map<String, Object> newCache = Map.of("access_token", token);
        tokenCache.set(newCache);
        tokenExpiry = Instant.now().plusSeconds(expiresIn);
    }
}

Implementation

Step 1: Configure EventBridge Destination via Genesys Cloud API

EventBridge requires a configured destination and subscription to push interaction data. Use the Genesys Cloud Java SDK to create an HTTP webhook destination and subscribe to routing.queue.conversation events.

Required OAuth scope: eventbridge:write

import com.mypurecloud.api.client.ApiClient;
import com.mypurecloud.api.client.ApiException;
import com.mypurecloud.api.client.Configuration;
import com.mypurecloud.api.client.auth.OAuth;
import com.mypurecloud.api.client.model.DestinationRequest;
import com.mypurecloud.api.client.model.EventbridgeSubscription;
import com.mypurecloud.api.client.model.HttpDestination;
import com.mypurecloud.api.client.model.HttpDestinationRequest;
import com.mypurecloud.api.client.model.SubscriptionRequest;
import com.mypurecloud.api.client.api.EventbridgeApi;

public class EventBridgeConfigService {
    private final EventbridgeApi eventbridgeApi;
    private final GenesysAuthService authService;

    public EventBridgeConfigService(GenesysAuthService authService, String basePath) throws ApiException {
        ApiClient apiClient = Configuration.getDefaultApiClient();
        OAuth oauth = (OAuth) apiClient.getAuthentication("OAuth2");
        oauth.setAccessTokenSupplier(() -> {
            try {
                return authService.getAccessToken();
            } catch (Exception e) {
                throw new RuntimeException(e);
            }
        });
        apiClient.setBasePath(basePath);
        this.eventbridgeApi = new EventbridgeApi(apiClient);
        this.authService = authService;
    }

    public String createDestinationAndSubscription(String webhookUrl) throws ApiException {
        HttpDestinationRequest destRequest = new HttpDestinationRequest();
        destRequest.setName("InteractionSearchIndex");
        destRequest.setUrl(webhookUrl);
        destRequest.setRetryCount(3);
        destRequest.setRetryInterval("PT1M");
        
        DestinationRequest createRequest = new DestinationRequest();
        createRequest.setHttpDestination(destRequest);
        
        HttpDestination createdDest = eventbridgeApi.postEventbridgeDestinations(createRequest);
        String destId = createdDest.getId();

        SubscriptionRequest subRequest = new SubscriptionRequest();
        subRequest.setName("InteractionEvents");
        subRequest.setDestinationId(destId);
        subRequest.setEventTypes(List.of("routing.queue.conversation.update", "routing.queue.conversation.wrapup"));
        
        eventbridgeApi.postEventbridgeDestinationsSubscription(destId, subRequest);
        return destId;
    }
}

Step 2: Parse Interaction Payloads and Map to Elasticsearch Documents

EventBridge delivers JSON payloads containing conversation metadata. Extract searchable fields and transform them into a flat Elasticsearch document structure.

import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
import java.time.Instant;
import java.util.Map;
import java.util.UUID;

public class InteractionMapper {
    private static final ObjectMapper MAPPER = new ObjectMapper();

    public Map<String, Object> parseEvent(JsonNode payload) {
        Map<String, Object> doc = new java.util.HashMap<>();
        doc.put("eventId", payload.path("event").path("id").asText(UUID.randomUUID().toString()));
        doc.put("conversationId", payload.path("conversation").path("id").asText());
        
        JsonNode queue = payload.path("queue");
        doc.put("queueId", queue.path("id").asText());
        doc.put("queueName", queue.path("name").asText());
        
        doc.put("startTime", payload.path("conversation").path("startTime").asText());
        doc.put("direction", payload.path("conversation").path("direction").asText());
        doc.put("wrapUpCode", payload.path("wrapUpCode").asText(null));
        doc.put("agentEmail", payload.path("agent").path("email").asText(null));
        doc.put("indexTimestamp", Instant.now().toString());
        
        return doc;
    }
}

Step 3: Index Records with Custom Analyzers and ILM Policy

Create the Elasticsearch index with a custom analyzer for queue names and agent emails. Attach an ILM policy that rolls over indices by size and deletes them after 90 days. Index documents with retry logic for transient failures.

Required Elasticsearch permissions: cluster:monitor/ilm, indices:admin/create, indices:admin/index_lifecycle

import co.elastic.clients.elasticsearch.ElasticsearchClient;
import co.elastic.clients.elasticsearch._types.analysis.Analyzer;
import co.elastic.clients.elasticsearch._types.analysis.TokenFilter;
import co.elastic.clients.elasticsearch._types.analysis.Tokenizer;
import co.elastic.clients.elasticsearch.core.IndexResponse;
import co.elastic.clients.elasticsearch.core.bulk.BulkOperation;
import co.elastic.clients.elasticsearch.core.bulk.BulkResponse;
import co.elastic.clients.elasticsearch.core.search.Hit;
import co.elastic.clients.elasticsearch.indices.CreateIndexRequest;
import co.elastic.clients.elasticsearch.indices.GetMapping;
import co.elastic.clients.elasticsearch.ilm.PutLifecycleRequest;
import co.elastic.clients.elasticsearch.ilm.LifecyclePolicy;
import co.elastic.clients.elasticsearch.ilm.Phases;
import co.elastic.clients.json.JsonData;
import com.fasterxml.jackson.databind.ObjectMapper;
import org.springframework.stereotype.Service;

import java.io.IOException;
import java.util.List;
import java.util.Map;
import java.util.concurrent.TimeUnit;

@Service
public class ElasticsearchInteractionService {
    private final ElasticsearchClient esClient;
    private final InteractionMapper mapper;
    private final ObjectMapper jsonMapper;
    private static final String INDEX_NAME = "genesys-interactions";

    public ElasticsearchInteractionService(ElasticsearchClient esClient, InteractionMapper mapper) {
        this.esClient = esClient;
        this.mapper = mapper;
        this.jsonMapper = new ObjectMapper();
        setupIndexAndILM();
    }

    private void setupIndexAndILM() {
        try {
            if (!esClient.indices().exists(e -> e.index(INDEX_NAME)).value()) {
                CreateIndexRequest request = CreateIndexRequest.of(b -> b
                        .index(INDEX_NAME)
                        .settings(s -> s
                                .numberOfShots(1)
                                .numberOfReplicas(1)
                                .lifecycle(l -> l
                                        .name("genesys-interactions-policy")
                                        .rolloverMaxSize("50gb")
                                        .rolloverMaxAge("30d")
                                )
                                .analysis(a -> a
                                        .analyzers("interaction_text_analyzer", an -> an
                                                .tokenizer("standard")
                                                .filter("lowercase", "asciifolding")
                                        )
                                        .tokenFilters("asciifolding", f -> f
                                                .of(af -> af.asciifolding(b -> b.preservedOriginal(true)))
                                        )
                                )
                        )
                        .mapping(m -> m
                                .properties("queueName", p -> p.text(t -> t.analyzer("interaction_text_analyzer")))
                                .properties("agentEmail", p -> p.text(t -> t.analyzer("interaction_text_analyzer")))
                                .properties("queueId", p -> p.keyword(k -> k))
                                .properties("direction", p -> p.keyword(k -> k))
                                .properties("wrapUpCode", p -> p.keyword(k -> k))
                                .properties("startTime", p -> p.date(d -> d.format("strict_date_optional_time||epoch_millis")))
                                .properties("indexTimestamp", p -> p.date(d -> d.format("strict_date_optional_time")))
                        )
                );
                esClient.indices().create(request);
            }

            if (!esClient.ilm().getPolicy(p -> p.name("genesys-interactions-policy")).policy().isEmpty()) {
                esClient.ilm().putPolicy(PutLifecycleRequest.of(p -> p
                        .name("genesys-interactions-policy")
                        .policy(LifecyclePolicy.of(l -> l
                                .defaultPipeline(JsonData.of(null))
                                .phases(Phases.of(ph -> ph
                                        .hot(h -> h.actions(a -> a
                                                .rollover(r -> r.maxSize("50gb").maxAge("30d"))
                                        ))
                                        .delete(d -> d.minAge("90d"))
                                ))
                        ))
                ));
            }
        } catch (IOException e) {
            throw new RuntimeException("Failed to initialize Elasticsearch index or ILM policy", e);
        }
    }

    public void indexInteraction(Map<String, Object> document) {
        int retries = 3;
        Exception lastException = null;
        for (int i = 0; i < retries; i++) {
            try {
                esClient.index(i -> i
                        .index(INDEX_NAME)
                        .document(document)
                );
                return;
            } catch (IOException e) {
                lastException = e;
                if (i < retries - 1) {
                    try {
                        TimeUnit.SECONDS.sleep(Math.pow(2, i));
                    } catch (InterruptedException ie) {
                        Thread.currentThread().interrupt();
                        break;
                    }
                }
            }
        }
        throw new RuntimeException("Failed to index interaction after retries", lastException);
    }
}

Step 4: Expose Faceted Search API for Internal Tools

Create a Spring Boot REST controller that accepts date range and queue filters. Use Elasticsearch aggregations to return facet counts alongside paginated results.

import co.elastic.clients.elasticsearch.core.SearchRequest;
import co.elastic.clients.elasticsearch.core.SearchResponse;
import co.elastic.clients.elasticsearch.core.search.Hit;
import co.elastic.clients.elasticsearch.core.search.TotalHits;
import co.elastic.clients.elasticsearch.core.search.aggregations.StringTermsBucket;
import co.elastic.clients.elasticsearch.core.search.aggregations.DateHistogramBucket;
import jakarta.annotation.PostConstruct;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.web.bind.annotation.*;

import java.io.IOException;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

@RestController
@RequestMapping("/api/v1/search")
public class InteractionSearchController {
    private final ElasticsearchInteractionService esService;
    private final ElasticsearchClient esClient;

    public InteractionSearchController(ElasticsearchInteractionService esService, ElasticsearchClient esClient) {
        this.esService = esService;
        this.esClient = esClient;
    }

    @GetMapping
    public Map<String, Object> search(
            @RequestParam(required = false) String startDate,
            @RequestParam(required = false) String endDate,
            @RequestParam(required = false) String queueId,
            @RequestParam(defaultValue = "10") int size,
            @RequestParam(defaultValue = "0") int from
    ) {
        try {
            SearchRequest.Builder builder = SearchRequest.of(s -> s
                    .index("genesys-interactions*")
                    .from(from)
                    .size(size)
                    .query(q -> q.bool(b -> b
                            .must(m -> m.range(r -> r.date(d -> d
                                    .field("indexTimestamp")
                                    .gte(startDate != null ? JsonData.of(startDate) : null)
                                    .lte(endDate != null ? JsonData.of(endDate) : null)
                            )))
                            .filter(f -> f.term(t -> t
                                    .field("queueId")
                                    .value(queueId != null ? queueId : "")
                            ).term(t -> t.field("queueId").value(queueId).exists(e -> e.value(true)))
                    ))
                    .aggregations("queue_facet", a -> a.terms(t -> t.field("queueId").size(20)))
                    .aggregations("date_facet", a -> a.dateHistogram(d -> d.field("indexTimestamp").calendarInterval(ci -> ci.day())))
            );

            SearchResponse<Map> response = esClient.search(builder.build(), Map.class);
            long total = response.hits().total().value();
            List<Map<String, Object>> hits = response.hits().hits().stream()
                    .map(Hit::source)
                    .toList();

            Map<String, Object> result = new HashMap<>();
            result.put("total", total);
            result.put("interactions", hits);
            
            Map<String, Object> facets = new HashMap<>();
            response.aggregations().get("queue_facet").sterms().buckets().array().forEach(b -> {
                StringTermsBucket bucket = b.compound().stringValue();
                facets.put("queue_" + bucket.key().stringValue(), bucket.docCount());
            });
            response.aggregations().get("date_facet").dateHistogram().buckets().array().forEach(b -> {
                DateHistogramBucket bucket = b.compound().dateHistogramValue();
                facets.put("date_" + bucket.keyAsString(), bucket.docCount());
            });
            result.put("facets", facets);

            return result;
        } catch (IOException e) {
            throw new RuntimeException("Search query failed", e);
        }
    }
}

Complete Working Example

The following configuration and application class ties the components together. Place this in a Spring Boot project structure.

import co.elastic.clients.elasticsearch.ElasticsearchClient;
import co.elastic.clients.json.jackson.JacksonJsonpMapper;
import co.elastic.clients.transport.rest_client.RestClientTransport;
import org.apache.http.HttpHost;
import org.apache.http.auth.AuthScope;
import org.apache.http.auth.UsernamePasswordCredentials;
import org.apache.http.impl.client.BasicCredentialsProvider;
import org.elasticsearch.client.RestClient;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.web.servlet.support.SpringBootServletInitializer;
import org.springframework.context.annotation.Bean;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestBody;
import org.springframework.web.bind.annotation.RestController;
import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;

@SpringBootApplication
@RestController
public class InteractionIndexApplication extends SpringBootServletInitializer {
    public static void main(String[] args) {
        SpringApplication.run(InteractionIndexApplication.class, args);
    }

    @Bean
    public ElasticsearchClient elasticsearchClient(
            @Value("${elasticsearch.host:localhost}") String host,
            @Value("${elasticsearch.port:9200}") int port,
            @Value("${elasticsearch.user:elastic}") String user,
            @Value("${elasticsearch.password:changeme}") String password
    ) {
        BasicCredentialsProvider credentialsProvider = new BasicCredentialsProvider();
        credentialsProvider.setCredentials(AuthScope.ANY, new UsernamePasswordCredentials(user, password));

        RestClient restClient = RestClient.builder(new HttpHost(host, port, "http"))
                .setHttpClientConfigCallback(httpClientBuilder -> httpClientBuilder.setDefaultCredentialsProvider(credentialsProvider))
                .build();

        RestClientTransport transport = new RestClientTransport(restClient, new JacksonJsonpMapper());
        return new ElasticsearchClient(transport);
    }

    @Bean
    public GenesysAuthService genesysAuthService(
            @Value("${genesys.client.id}") String clientId,
            @Value("${genesys.client.secret}") String clientSecret
    ) {
        return new GenesysAuthService(clientId, clientSecret);
    }

    @Bean
    public EventBridgeConfigService eventBridgeConfigService(
            GenesysAuthService authService,
            @Value("${genesys.base.path:https://api.mypurecloud.com}") String basePath
    ) throws Exception {
        return new EventBridgeConfigService(authService, basePath);
    }

    @Bean
    public ElasticsearchInteractionService esInteractionService(
            ElasticsearchClient esClient,
            InteractionMapper mapper
    ) {
        return new ElasticsearchInteractionService(esClient, mapper);
    }

    @Bean
    public InteractionMapper interactionMapper() {
        return new InteractionMapper();
    }

    @PostMapping("/webhooks/genesys/events")
    public void handleEvent(@RequestBody JsonNode payload, ElasticsearchInteractionService esService, InteractionMapper mapper) {
        try {
            Map<String, Object> doc = mapper.parseEvent(payload);
            esService.indexInteraction(doc);
        } catch (Exception e) {
            System.err.println("Failed to process event: " + e.getMessage());
            throw new RuntimeException(e);
        }
    }
}

Common Errors & Debugging

Error: 401 Unauthorized on EventBridge Configuration

• Cause: The OAuth client lacks eventbridge:write scope or the token has expired.
• Fix: Verify the client credentials in the Genesys Cloud admin console. Ensure the GenesysAuthService refreshes tokens before expiration. Add logging to print the token request response body when status is not 200.

Error: 403 Forbidden on Elasticsearch ILM or Index Creation

• Cause: The Elasticsearch user does not have manage_ilm or manage_index privileges.
• Fix: Assign the manage role to the Elasticsearch user or create a custom role with cluster:monitor/ilm and indices:admin/* permissions. Test connectivity using curl -u elastic:changeme http://localhost:9200/_ilm/policy/genesys-interactions-policy.

Error: 429 Too Many Requests on Genesys OAuth or EventBridge

• Cause: Exceeding rate limits during token refresh or subscription polling.
• Fix: Implement exponential backoff in GenesysAuthService. For EventBridge webhooks, ensure the destination retry count and interval are configured. Add a circuit breaker pattern if the downstream Elasticsearch cluster experiences bulk indexing pressure.

Error: Elasticsearch Mapping Conflict on Index Creation

• Cause: Attempting to create an index that already exists with different field types.
• Fix: Delete the existing index via DELETE /genesys-interactions before running the setup, or modify setupIndexAndILM() to check existing mappings and apply updates using the _update_mapping API. Production environments should use index aliases and versioned indices to avoid downtime.

Official References

• Genesys Cloud EventBridge API Documentation
• Genesys Cloud Java SDK Reference
• Elasticsearch Java API Client Documentation
• Elasticsearch Index Lifecycle Management
• Elasticsearch Aggregations for Faceted Search