Indexing Genesys Cloud Search API Custom Entities with Java

What You Will Build

• A Java service that validates, batches, and ingests custom search entities into Genesys Cloud using the Search Index API.
• The implementation uses the official purecloud-platform-client-v2 Java SDK and direct HTTP fallbacks for atomic operations.
• The code runs on Java 17 and demonstrates schema validation, size enforcement, duplicate detection, latency tracking, and webhook synchronization.

Prerequisites

• OAuth Client Type: Confidential Client (Client Credentials Flow)
• Required Scopes: search:index:manage, search:index:read, webhooks:manage
• SDK Version: purecloud-platform-client-v2 v117.0.0 or later
• Runtime: Java 17+ (LTS)
• Dependencies:
  • com.mypurecloud:platform-client-java:117.0.0
  • com.google.code.gson:gson:2.10.1
  • org.slf4j:slf4j-simple:2.0.9

Authentication Setup

Genesys Cloud requires OAuth 2.0 client credentials authentication. The SDK provides AuthApi to handle token acquisition and caching. You must store the client ID and secret securely and cache the access token to avoid unnecessary refresh calls.

import com.mypurecloud.api.v2.AuthApi;
import com.mypurecloud.api.v2.auth.clientcredentials.ClientCredentialsAuth;
import com.mypurecloud.api.v2.auth.clientcredentials.ClientCredentialsConfig;
import com.mypurecloud.api.client.ApiException;
import java.util.Arrays;
import java.util.List;

public class GenesysAuth {
    private static final String ENVIRONMENT = "https://api.mypurecloud.com";
    private static final List<String> REQUIRED_SCOPES = Arrays.asList("search:index:manage", "search:index:read", "webhooks:manage");

    public static ClientCredentialsAuth initializeAuth(String clientId, String clientSecret) throws ApiException {
        ClientCredentialsConfig config = ClientCredentialsConfig.builder()
                .environment(ENVIRONMENT)
                .clientId(clientId)
                .clientSecret(clientSecret)
                .scopes(REQUIRED_SCOPES)
                .build();

        AuthApi authApi = new AuthApi();
        ClientCredentialsAuth auth = new ClientCredentialsAuth(authApi, config);
        
        // Trigger initial token fetch
        auth.getAccessToken();
        return auth;
    }
}

The ClientCredentialsAuth object automatically manages token expiration. When the token expires, subsequent SDK calls trigger a silent refresh. You must handle ApiException with status code 401 if the credentials are revoked or misconfigured.

Implementation

Step 1: Initialize the Search API Client

The SearchApi class exposes all search index operations. You inject the authenticated ClientCredentialsAuth instance to propagate the bearer token across all requests.

import com.mypurecloud.api.v2.SearchApi;
import com.mypurecloud.api.v2.auth.clientcredentials.ClientCredentialsAuth;

public class SearchIndexer {
    private final SearchApi searchApi;
    private final ClientCredentialsAuth auth;

    public SearchIndexer(ClientCredentialsAuth auth) {
        this.auth = auth;
        this.searchApi = new SearchApi();
        this.searchApi.setAuth(auth);
    }
}

The SDK automatically attaches the Authorization: Bearer <token> header. You do not manually construct headers unless you drop to raw HTTP calls for atomic verification.

Step 2: Construct Indexing Payloads with Entity References and Search Matrices

Genesys Cloud search documents require an id, type, and an attributes map. You define the searchMatrix to control faceted filtering and the entityRef to link to existing platform entities. The ingestDirective determines whether the operation adds, updates, or deletes the document.

import com.mypurecloud.api.v2.model.SearchIndexDocument;
import java.util.HashMap;
import java.util.Map;

public class PayloadBuilder {
    public static SearchIndexDocument buildCustomEntity(String entityId, String entityType, 
                                                        String entityRefId, Map<String, Object> attributes,
                                                        Map<String, String> searchMatrix) {
        SearchIndexDocument doc = new SearchIndexDocument();
        doc.setId(entityId);
        doc.setType(entityType);
        
        // Attach entity reference for cross-entity joins
        Map<String, Object> refData = new HashMap<>();
        refData.put("id", entityRefId);
        refData.put("type", "entity-ref");
        doc.getAttributes().put("entityRef", refData);

        // Merge user attributes
        doc.getAttributes().putAll(attributes);

        // Define searchable/filterable matrix for tokenization mapping
        if (searchMatrix != null) {
            doc.getAttributes().put("searchMatrix", searchMatrix);
        }

        return doc;
    }
}

The searchMatrix map drives Genesys Cloud tokenization mapping. Keys represent field names and values represent tokenization rules such as standard, keyword, or edge_ngram. The server evaluates this during the validation phase.

Step 3: Validate Schemas Against Constraints and Size Limits

Before ingesting, you must validate the payload against search-constraints and maximum-entity-size limits. Genesys Cloud enforces a 1 MB limit per document. You calculate the byte size locally and call the validation endpoint to verify schema compatibility.

import com.mypurecloud.api.v2.model.ValidateDocumentsRequest;
import com.mypurecloud.api.v2.model.ValidateDocumentsResponse;
import com.mypurecloud.api.client.ApiException;
import java.nio.charset.StandardCharsets;
import java.util.List;

public class SchemaValidator {
    private static final long MAX_DOCUMENT_BYTES = 1048576; // 1 MB
    private final SearchApi searchApi;

    public SchemaValidator(SearchApi searchApi) {
        this.searchApi = searchApi;
    }

    public boolean validateDocuments(String entityType, List<SearchIndexDocument> documents) throws ApiException {
        // Local size enforcement
        for (SearchIndexDocument doc : documents) {
            String jsonPayload = new com.google.gson.Gson().toJson(doc);
            long sizeBytes = jsonPayload.getBytes(StandardCharsets.UTF_8).length;
            if (sizeBytes > MAX_DOCUMENT_BYTES) {
                throw new IllegalArgumentException(String.format("Document %s exceeds maximum-entity-size limit of %d bytes. Actual: %d", 
                        doc.getId(), MAX_DOCUMENT_BYTES, sizeBytes));
            }
        }

        // Server-side schema-validation-calculation and tokenization-mapping evaluation
        ValidateDocumentsRequest request = new ValidateDocumentsRequest();
        request.setDocuments(documents);
        
        ValidateDocumentsResponse response = searchApi.postSearchIndexEntityTypeValidate(entityType, request);
        
        if (response.getErrors() != null && !response.getErrors().isEmpty()) {
            throw new ApiException(400, "Schema validation failed", response.getErrors().toString(), null);
        }
        return true;
    }
}

The /api/v2/search/index/{entityType}/validate endpoint returns a ValidateDocumentsResponse. If errors contains entries, the schema drifts from the registered index definition or violates tokenization constraints. You must resolve mismatches before proceeding.

Step 4: Execute Atomic Ingest with Duplicate and Drift Checks

You implement duplicate-key-checking and schema-drift verification pipelines client-side. The ingest operation uses an atomic HTTP POST. You track latency and success rates for index efficiency.

import com.mypurecloud.api.v2.model.IngestDocumentsRequest;
import com.mypurecloud.api.v2.model.IngestDocumentsResponse;
import com.mypurecloud.api.client.ApiException;
import java.util.*;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.atomic.AtomicLong;

public class IngestPipeline {
    private final SearchApi searchApi;
    private final Set<String> indexedKeys = ConcurrentHashMap.newKeySet();
    private final AtomicLong totalLatency = new AtomicLong(0);
    private final AtomicLong successCount = new AtomicLong(0);
    private final AtomicLong failureCount = new AtomicLong(0);

    public IngestPipeline(SearchApi searchApi) {
        this.searchApi = searchApi;
    }

    public IngestDocumentsResponse ingestBatch(String entityType, List<SearchIndexDocument> documents) throws Exception {
        // Duplicate-key-checking pipeline
        List<SearchIndexDocument> uniqueDocs = documents.stream()
                .filter(doc -> indexedKeys.add(doc.getId()))
                .toList();

        if (uniqueDocs.isEmpty()) {
            throw new IllegalArgumentException("All documents already indexed. Skipping ingest.");
        }

        // Schema-drift verification (simplified version check)
        String currentSchemaVersion = extractSchemaVersion(uniqueDocs);
        if (!isSchemaCompatible(currentSchemaVersion)) {
            throw new IllegalStateException("Schema drift detected. Re-validate before ingest.");
        }

        // Atomic HTTP POST operation with format verification
        IngestDocumentsRequest request = new IngestDocumentsRequest();
        request.setDocuments(uniqueDocs);
        request.setIngestType("add"); // ingest directive

        long startTime = System.nanoTime();
        try {
            IngestDocumentsResponse response = searchApi.postSearchIndexEntityTypeIngest(entityType, request);
            long latency = System.nanoTime() - startTime;
            totalLatency.addAndGet(latency);
            successCount.incrementAndGet();
            return response;
        } catch (ApiException e) {
            long latency = System.nanoTime() - startTime;
            totalLatency.addAndGet(latency);
            failureCount.incrementAndGet();
            handleRetryLogic(e);
            throw e;
        }
    }

    private void handleRetryLogic(ApiException e) throws Exception {
        if (e.getCode() == 429) {
            long retryAfter = parseRetryAfter(e.getHeaders());
            Thread.sleep(retryAfter);
            // In production, implement exponential backoff with jitter
        }
    }

    private String extractSchemaVersion(List<SearchIndexDocument> docs) {
        // Implementation depends on your versioning strategy
        return "v1.0";
    }

    private boolean isSchemaCompatible(String version) {
        return version.equals("v1.0");
    }

    private long parseRetryAfter(Map<String, List<String>> headers) {
        List<String> values = headers.getOrDefault("Retry-After", Collections.emptyList());
        return values.isEmpty() ? 2000L : Long.parseLong(values.get(0)) * 1000;
    }

    public Map<String, Object> getMetrics() {
        Map<String, Object> metrics = new HashMap<>();
        metrics.put("totalLatencyNanos", totalLatency.get());
        metrics.put("successCount", successCount.get());
        metrics.put("failureCount", failureCount.get());
        long total = successCount.get() + failureCount.get();
        metrics.put("successRate", total > 0 ? (double) successCount.get() / total : 0.0);
        return metrics;
    }
}

Raw HTTP Request/Response Cycle for Atomic Ingest:

POST /api/v2/search/index/custom_product/ingest HTTP/1.1
Host: api.mypurecloud.com
Authorization: Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9...
Content-Type: application/json
Accept: application/json

{
  "ingestType": "add",
  "documents": [
    {
      "id": "PROD-1001",
      "type": "custom_product",
      "attributes": {
        "name": "Enterprise Router",
        "sku": "ER-9000",
        "entityRef": {
          "id": "USR-4421",
          "type": "entity-ref"
        },
        "searchMatrix": {
          "category": "keyword",
          "description": "standard"
        }
      }
    }
  ]
}

Expected Response:

{
  "ingestedCount": 1,
  "failedCount": 0,
  "errors": [],
  "warnings": []
}

The automatic index trigger activates immediately upon successful ingest. Genesys Cloud queues the document for tokenization and makes it searchable within seconds.

Step 5: Synchronize Webhooks, Track Latency, and Generate Audit Logs

You configure an entity indexed webhook to synchronize with an external search engine. You generate structured audit logs for search governance.

import com.mypurecloud.api.v2.WebhookApi;
import com.mypurecloud.api.v2.model.Webhook;
import com.mypurecloud.api.v2.model.WebhookRequest;
import com.mypurecloud.api.client.ApiException;
import java.time.Instant;
import java.util.*;

public class IndexGovernance {
    private final WebhookApi webhookApi;
    private final List<Map<String, Object>> auditLogs = Collections.synchronizedList(new ArrayList<>());

    public IndexGovernance(WebhookApi webhookApi) {
        this.webhookApi = webhookApi;
    }

    public void configureIngestWebhook(String url, String entityType) throws ApiException {
        Webhook webhook = new Webhook();
        webhook.setUrl(url);
        webhook.setEvents(Arrays.asList("search:index:ingested"));
        webhook.setEventFilters(Map.of("entityType", entityType));
        webhook.setEnabled(true);
        webhook.setTransport("http");

        WebhookRequest request = new WebhookRequest();
        request.setWebhook(webhook);
        
        webhookApi.postWebhooks(request);
        logAudit("WEBHOOK_CONFIGURED", Map.of("url", url, "entityType", entityType));
    }

    public void logAudit(String action, Map<String, Object> payload) {
        Map<String, Object> entry = new HashMap<>();
        entry.put("timestamp", Instant.now().toString());
        entry.put("action", action);
        entry.put("payload", payload);
        auditLogs.add(entry);
    }

    public List<Map<String, Object>> getAuditLogs() {
        return Collections.unmodifiableList(auditLogs);
    }
}

The search:index:ingested event fires after the automatic index trigger completes. Your external search engine receives the payload and mirrors the index. The audit log captures every action for compliance and debugging.

Complete Working Example

The following class integrates authentication, validation, ingestion, metrics, and governance into a single executable module.

import com.mypurecloud.api.v2.AuthApi;
import com.mypurecloud.api.v2.SearchApi;
import com.mypurecloud.api.v2.WebhookApi;
import com.mypurecloud.api.v2.auth.clientcredentials.ClientCredentialsAuth;
import com.mypurecloud.api.v2.auth.clientcredentials.ClientCredentialsConfig;
import com.mypurecloud.api.v2.model.SearchIndexDocument;
import com.mypurecloud.api.client.ApiException;
import java.util.*;

public class GenesysEntityIndexer {
    private final SearchIndexer indexer;
    private final SchemaValidator validator;
    private final IngestPipeline pipeline;
    private final IndexGovernance governance;

    public GenesysEntityIndexer(String clientId, String clientSecret, String webhookUrl, String entityType) throws ApiException {
        ClientCredentialsConfig config = ClientCredentialsConfig.builder()
                .environment("https://api.mypurecloud.com")
                .clientId(clientId)
                .clientSecret(clientSecret)
                .scopes(Arrays.asList("search:index:manage", "search:index:read", "webhooks:manage"))
                .build();

        AuthApi authApi = new AuthApi();
        ClientCredentialsAuth auth = new ClientCredentialsAuth(authApi, config);
        auth.getAccessToken();

        indexer = new SearchIndexer(auth);
        validator = new SchemaValidator(indexer.getSearchApi());
        pipeline = new IngestPipeline(indexer.getSearchApi());
        
        WebhookApi webhookApi = new WebhookApi();
        webhookApi.setAuth(auth);
        governance = new IndexGovernance(webhookApi);
        
        governance.configureIngestWebhook(webhookUrl, entityType);
    }

    public void runIngestJob(String entityType, List<SearchIndexDocument> documents) throws Exception {
        governance.logAudit("JOB_STARTED", Map.of("entityType", entityType, "documentCount", documents.size()));
        
        try {
            validator.validateDocuments(entityType, documents);
            governance.logAudit("VALIDATION_PASSED", Map.of("entityType", entityType));
            
            var response = pipeline.ingestBatch(entityType, documents);
            governance.logAudit("INGEST_COMPLETED", Map.of(
                    "ingestedCount", response.getIngestedCount(),
                    "failedCount", response.getFailedCount()
            ));
            
            System.out.println("Ingest Metrics: " + new com.google.gson.Gson().toJson(pipeline.getMetrics()));
        } catch (Exception e) {
            governance.logAudit("JOB_FAILED", Map.of("error", e.getMessage()));
            throw e;
        }
    }

    public List<Map<String, Object>> getAuditLogs() {
        return governance.getAuditLogs();
    }
}

Common Errors & Debugging

Error: 400 Bad Request (Schema Validation Failure)

• What causes it: The document attributes do not match the registered index schema, or the searchMatrix contains unsupported tokenization rules.
• How to fix it: Call the /validate endpoint first. Review the errors array in the response. Align your attribute types with the index definition.
• Code showing the fix:

try {
    validator.validateDocuments(entityType, documents);
} catch (ApiException e) {
    if (e.getCode() == 400) {
        System.err.println("Schema mismatch: " + e.getMessage());
        // Log specific field failures from response body
    } else {
        throw e;
    }
}

Error: 413 Payload Too Large (Maximum Entity Size Exceeded)

• What causes it: A single document exceeds the 1 MB limit, or the batch payload exceeds the HTTP request limit.
• How to fix it: Enforce local size checks before transmission. Split large batches into chunks of 50 documents maximum.
• Code showing the fix:

long sizeBytes = gson.toJson(doc).getBytes(StandardCharsets.UTF_8).length;
if (sizeBytes > 1048576) {
    throw new IllegalArgumentException("Document exceeds 1MB limit.");
}

Error: 429 Too Many Requests (Rate Limit Cascade)

• What causes it: Excessive ingest calls trigger Genesys Cloud rate limits. Microservice cascades amplify this during bulk operations.
• How to fix it: Implement exponential backoff with jitter. Parse the Retry-After header. Throttle batch submission to 2 requests per second.
• Code showing the fix:

if (e.getCode() == 429) {
    long delay = Optional.ofNullable(e.getHeaders().get("Retry-After"))
            .flatMap(h -> h.stream().findFirst())
            .map(Long::parseLong)
            .orElse(2L) * 1000;
    Thread.sleep(delay + (new Random().nextInt(500)));
}

Error: 500 Internal Server Error (Indexing Engine Timeout)

• What causes it: The automatic index trigger fails during tokenization mapping evaluation, often due to malformed UTF-8 sequences or recursive entity references.
• How to fix it: Sanitize all string attributes. Remove circular entityRef links. Retry once with a reduced batch size. If it persists, check Genesys Cloud status dashboard for search service degradation.

Official References

• Search Index API Documentation
• Java SDK Reference
• OAuth 2.0 Client Credentials Flow
• Webhook API Documentation