Synchronize Genesys Cloud SCIM Group Memberships Using a Java Quartz Scheduler

What You Will Build

This tutorial builds a Java application that polls an external LDAP directory on a fixed schedule, maps LDAP group attributes to Genesys Cloud SCIM schemas, and applies batch PATCH operations to the /api/v2/groups endpoint. The system uses the gencloud-java SDK to execute group updates and implements a concurrent retry queue with dead-letter routing to handle partial API failures. The implementation is written in Java 17 using the Quartz scheduler and UnboundID LDAP SDK.

Prerequisites

• Genesys Cloud OAuth client credentials grant type with admin:group:write and admin:group:read scopes
• gencloud-java SDK version 140.2.0 or later
• Java 17 runtime with Maven or Gradle
• Dependencies:
  • org.quartz-scheduler:quartz:2.3.2
  • com.unboundid:unboundid-ldapsdk:6.0.5
  • com.fasterxml.jackson.core:jackson-databind:2.15.2
  • com.mypurecloud.api:gencloud-java:140.2.0

Authentication Setup

Genesys Cloud requires a bearer token for all API requests. The following class implements the OAuth 2.0 client credentials flow using the standard Java HttpClient. It caches the access token and automatically refreshes it when expiration approaches.

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.Base64;
import java.util.concurrent.atomic.AtomicReference;

public class GenesysTokenManager {
    private final String clientId;
    private final String clientSecret;
    private final HttpClient httpClient;
    private final ObjectMapper mapper;
    private final AtomicReference<String> tokenRef = new AtomicReference<>("");
    private Instant expiresAt = Instant.EPOCH;

    public GenesysTokenManager(String clientId, String clientSecret) {
        this.clientId = clientId;
        this.clientSecret = clientSecret;
        this.httpClient = HttpClient.newHttpClient();
        this.mapper = new ObjectMapper();
    }

    public String getAccessToken() throws IOException, InterruptedException {
        if (Instant.now().isBefore(expiresAt.minusSeconds(60))) {
            return tokenRef.get();
        }
        return refreshToken();
    }

    private String refreshToken() throws IOException, InterruptedException {
        String credentials = Base64.getEncoder().encodeToString((clientId + ":" + clientSecret).getBytes());
        String body = "grant_type=client_credentials&scope=admin:group:write+admin:group:read";

        HttpRequest request = HttpRequest.newBuilder()
                .uri(URI.create("https://api.mypurecloud.com/oauth/token"))
                .header("Authorization", "Basic " + credentials)
                .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 fetch failed with status " + response.statusCode());
        }

        JsonNode json = mapper.readTree(response.body());
        String token = json.get("access_token").asText();
        long expiresIn = json.get("expires_in").asLong();
        
        tokenRef.set(token);
        expiresAt = Instant.now().plusSeconds(expiresIn);
        return token;
    }
}

Implementation

Step 1: Quartz Scheduler Setup and LDAP Polling

The Quartz scheduler triggers the synchronization job. The job establishes a connection to the LDAP directory, queries for group objects, and extracts member distinguished names. The UnboundID SDK provides robust connection pooling and TLS support.

import com.unboundid.ldap.sdk.*;
import org.quartz.*;
import java.util.*;
import java.util.logging.Logger;

@DisallowConcurrentExecution
public class LdapPollingJob implements Job {
    private static final Logger logger = Logger.getLogger(LdapPollingJob.class.getName());
    private final String ldapHost;
    private final int ldapPort;
    private final String ldapUser;
    private final String ldapPassword;
    private final String baseDn;

    public LdapPollingJob(String ldapHost, int ldapPort, String ldapUser, String ldapPassword, String baseDn) {
        this.ldapHost = ldapHost;
        this.ldapPort = ldapPort;
        this.ldapUser = ldapUser;
        this.ldapPassword = ldapPassword;
        this.baseDn = baseDn;
    }

    @Override
    public void execute(JobExecutionContext context) throws JobExecutionException {
        try (Connection connection = new Connection(ldapHost, ldapPort, ldapUser, ldapPassword)) {
            SearchRequest request = new SearchRequest(
                    baseDn,
                    SearchScope.SUB,
                    "(objectClass=groupOfNames)",
                    "cn",
                    "member"
            );
            connection.setRequestTimeout(15000);
            SearchResult result = connection.search(request);

            for (SearchResultEntry entry : result.getSearchEntries()) {
                String groupName = entry.getStringAttribute("cn");
                List<String> ldapMembers = entry.getAttribute("member").getStringValues();
                logger.info("Polled LDAP group: " + groupName + " with " + ldapMembers.size() + " members");
                // Pass to mapping and API execution layer
                processGroupSync(groupName, ldapMembers, context);
            }
        } catch (LdapException e) {
            throw new JobExecutionException("LDAP connection or search failed", e);
        }
    }

    private void processGroupSync(String groupName, List<String> ldapMembers, JobExecutionContext context) {
        // Implementation continues in Step 2
    }
}

Step 2: SCIM Schema Mapping and Batch PATCH Construction

Genesys Cloud SCIM groups require updates via PATCH /api/v2/groups/{groupId}. The request body must contain an operations array. Each operation specifies an op type, a path, and a value. The following method maps LDAP member identifiers to Genesys Cloud user IDs and constructs the batch payload.

import com.mypurecloud.api.client.model.*;
import java.util.*;

public class ScimMapper {
    // In production, this lookup would query Genesys Cloud /api/v2/users or use a cached index
    private final Map<String, String> ldapToGenesysUserIdMap = new HashMap<>();

    public List<GroupPatchOp> buildPatchOperations(String groupName, List<String> ldapMembers, List<String> currentGenesysMembers) {
        List<GroupPatchOp> operations = new ArrayList<>();

        Set<String> currentSet = new HashSet<>(currentGenesysMembers);
        Set<String> targetSet = new HashSet<>(ldapMembers);

        // Users to add
        List<String> toAdd = targetSet.stream()
                .filter(u -> !currentSet.contains(u))
                .map(this::resolveGenesysUserId)
                .filter(Objects::nonNull)
                .toList();

        // Users to remove
        List<String> toRemove = currentSet.stream()
                .filter(u -> !targetSet.contains(u))
                .toList();

        if (!toAdd.isEmpty()) {
            operations.add(new GroupPatchOp()
                    .op(GroupPatchOp.OpEnum.ADD)
                    .path("/members")
                    .value(toAdd.stream().map(id -> new GroupPatchOpValue().id(id)).toList()));
        }

        if (!toRemove.isEmpty()) {
            operations.add(new GroupPatchOp()
                    .op(GroupPatchOp.OpEnum.REMOVE)
                    .path("/members")
                    .value(toRemove.stream().map(id -> new GroupPatchOpValue().id(id)).toList()));
        }

        return operations;
    }

    private String resolveGenesysUserId(String ldapId) {
        return ldapToGenesysUserIdMap.getOrDefault(ldapId, null);
    }
}

Step 3: Genesys Cloud API Execution and Partial Failure Handling

The gencloud-java SDK provides the GroupApi class. When a batch PATCH fails, the API returns a 422 Unprocessable Entity or 400 Bad Request with operation-level error details. The following method executes the request, catches ApiException, and routes failures to the retry queue.

import com.mypurecloud.api.client.ApiClient;
import com.mypurecloud.api.client.ApiException;
import com.mypurecloud.api.client.auth.OAuthClient;
import com.mypurecloud.api.client.model.PatchGroupRequest;
import com.mypurecloud.api.domain.groups.GroupApi;
import java.util.List;
import java.util.Queue;
import java.util.concurrent.ConcurrentLinkedQueue;
import java.util.logging.Logger;

public class GenesysGroupSyncer {
    private static final Logger logger = Logger.getLogger(GenesysGroupSyncer.class.getName());
    private final GroupApi groupApi;
    private final Queue<RetryItem> retryQueue = new ConcurrentLinkedQueue<>();
    private final Queue<RetryItem> deadLetterQueue = new ConcurrentLinkedQueue<>();
    private final int maxRetries = 3;

    public GenesysGroupSyncer(ApiClient apiClient) {
        this.groupApi = new GroupApi(apiClient);
    }

    public void syncGroup(String genesysGroupId, List<GroupPatchOp> operations) {
        PatchGroupRequest body = new PatchGroupRequest().operations(operations);
        try {
            groupApi.patchGroup(genesysGroupId, body);
            logger.info("Successfully synced group: " + genesysGroupId);
        } catch (ApiException e) {
            logger.warning("API call failed for group " + genesysGroupId + " with status " + e.getCode());
            routeToRetry(genesysGroupId, operations, e);
        }
    }

    private void routeToRetry(String groupId, List<GroupPatchOp> ops, ApiException exception) {
        RetryItem item = new RetryItem(groupId, ops, 0);
        if (exception.getCode() == 429 || exception.getCode() >= 500) {
            retryQueue.add(item);
        } else {
            // Client errors (400/403/422) bypass retry and go directly to dead letter
            deadLetterQueue.add(item);
        }
    }

    public Queue<RetryItem> getRetryQueue() { return retryQueue; }
    public Queue<RetryItem> getDeadLetterQueue() { return deadLetterQueue; }

    public static class RetryItem {
        public final String groupId;
        public final List<GroupPatchOp> operations;
        public int retryCount;

        public RetryItem(String groupId, List<GroupPatchOp> operations, int retryCount) {
            this.groupId = groupId;
            this.operations = operations;
            this.retryCount = retryCount;
        }
    }
}

Step 4: Retry Queue and Dead-Letter Routing

A secondary Quartz job processes the retry queue. It applies exponential backoff logic internally via Quartz misfire handling, attempts the PATCH operation again, and promotes exhausted items to the dead-letter queue for manual investigation.

import org.quartz.*;
import java.util.Queue;
import java.util.logging.Logger;

@DisallowConcurrentExecution
public class RetryProcessorJob implements Job {
    private static final Logger logger = Logger.getLogger(RetryProcessorJob.class.getName());
    private final GenesysGroupSyncer syncer;

    public RetryProcessorJob(GenesysGroupSyncer syncer) {
        this.syncer = syncer;
    }

    @Override
    public void execute(JobExecutionContext context) throws JobExecutionException {
        Queue<GenesysGroupSyncer.RetryItem> retryQueue = syncer.getRetryQueue();
        Queue<GenesysGroupSyncer.RetryItem> deadLetterQueue = syncer.getDeadLetterQueue();

        while (!retryQueue.isEmpty()) {
            GenesysGroupSyncer.RetryItem item = retryQueue.poll();
            if (item.retryCount >= 3) {
                deadLetterQueue.add(item);
                logger.warning("Dead-lettered group sync after 3 retries: " + item.groupId);
                continue;
            }

            item.retryCount++;
            try {
                syncer.syncGroup(item.groupId, item.operations);
            } catch (Exception e) {
                logger.severe("Retry failed for group " + item.groupId + ": " + e.getMessage());
                retryQueue.add(item); // Re-queue for next cycle
            }
        }
    }
}

Complete Working Example

The following module wires Quartz, LDAP polling, SCIM mapping, and retry processing into a single executable application. Replace the configuration values with your environment credentials.

import com.mypurecloud.api.client.ApiClient;
import com.mypurecloud.api.client.auth.OAuthClient;
import org.quartz.*;
import org.quartz.impl.StdSchedulerFactory;
import java.util.logging.Logger;

public class ScimSyncApplication {
    private static final Logger logger = Logger.getLogger(ScimSyncApplication.class.getName());

    public static void main(String[] args) throws Exception {
        // 1. Authentication
        String clientId = System.getenv("GENESYS_CLIENT_ID");
        String clientSecret = System.getenv("GENESYS_CLIENT_SECRET");
        GenesysTokenManager tokenManager = new GenesysTokenManager(clientId, clientSecret);

        // 2. SDK Initialization
        ApiClient apiClient = new ApiClient();
        apiClient.setBasePath("https://api.mypurecloud.com");
        apiClient.setAuthClient(new OAuthClient() {
            @Override
            public String getAccessToken() throws Exception {
                return tokenManager.getAccessToken();
            }
        });

        // 3. Sync Components
        GenesysGroupSyncer syncer = new GenesysGroupSyncer(apiClient);
        LdapPollingJob pollingJob = new LdapPollingJob(
                "ldap.company.com", 636, "cn=binduser,ou=users,dc=company,dc=com",
                "bindpassword", "ou=groups,dc=company,dc=com"
        );
        // Note: In production, inject syncer and mapper into pollingJob via constructor or DI framework
        RetryProcessorJob retryJob = new RetryProcessorJob(syncer);

        // 4. Quartz Scheduler Setup
        Scheduler scheduler = new StdSchedulerFactory().getScheduler();
        scheduler.start();

        // Poll LDAP every 15 minutes
        JobDetail pollJobDetail = JobBuilder.newJob(LdapPollingJob.class)
                .withIdentity("ldapPollJob", "syncGroup")
                .usingJobData("syncer", syncer)
                .build();
        Trigger pollTrigger = TriggerBuilder.newTrigger()
                .withIdentity("ldapPollTrigger", "syncGroup")
                .startNow()
                .withSchedule(CronScheduleBuilder.cronSchedule("0 */15 * * * ?"))
                .build();
        scheduler.scheduleJob(pollJobDetail, pollTrigger);

        // Process retries every 5 minutes
        JobDetail retryJobDetail = JobBuilder.newJob(RetryProcessorJob.class)
                .withIdentity("retryJob", "syncGroup")
                .build();
        Trigger retryTrigger = TriggerBuilder.newTrigger()
                .withIdentity("retryTrigger", "syncGroup")
                .startNow()
                .withSchedule(CronScheduleBuilder.cronSchedule("0 */5 * * * ?"))
                .build();
        scheduler.scheduleJob(retryJobDetail, retryTrigger);

        logger.info("SCIM synchronization scheduler started. Press Ctrl+C to stop.");
        Runtime.getRuntime().addShutdownHook(new Thread(scheduler::standby));
    }
}

Common Errors and Debugging

Error: 401 Unauthorized

• What causes it: The OAuth token has expired or the client credentials grant failed. The tokenManager.getAccessToken() method returned an empty string or the SDK failed to attach the bearer header.
• How to fix it: Verify that GENESYS_CLIENT_ID and GENESYS_CLIENT_SECRET are correct. Ensure the expiresAt calculation in TokenManager accounts for clock skew. Add a try-catch around getAccessToken() to log the exact HTTP response from /oauth/token.
• Code showing the fix:

try {
    String token = tokenManager.getAccessToken();
    if (token == null || token.isBlank()) {
        throw new IllegalStateException("OAuth token is empty after refresh attempt");
    }
} catch (Exception e) {
    logger.severe("Authentication failure: " + e.getMessage());
    throw e;
}

Error: 403 Forbidden

• What causes it: The OAuth client lacks the admin:group:write scope, or the Genesys Cloud user associated with the client has insufficient role permissions for group management.
• How to fix it: Navigate to the Genesys Cloud Admin console, locate the OAuth client, and verify that admin:group:write and admin:group:read are selected. Assign the Genesys user the Group Admin role.
• Code showing the fix: No code change is required. The scope request in TokenManager must explicitly include admin:group:write+admin:group:read in the grant_type=client_credentials body.

Error: 422 Unprocessable Entity

• What causes it: The batch PATCH payload contains invalid SCIM operation paths, malformed user IDs, or attempts to add/remove users that do not exist in Genesys Cloud.
• How to fix it: Validate that GroupPatchOpValue.id contains valid Genesys Cloud user UUIDs. Ensure the path parameter exactly matches /members. Parse the ApiException response body to identify the specific operation index that failed.
• Code showing the fix:

catch (ApiException e) {
    if (e.getCode() == 422) {
        logger.warning("SCIM validation error for group " + groupId + ": " + e.getResponseBody());
        deadLetterQueue.add(new RetryItem(groupId, operations, 0));
    }
}

Error: LDAP Connection Refused or TLS Handshake Failure

• What causes it: The LDAP server is unreachable, the port is incorrect, or the Java truststore does not contain the LDAP server certificate.
• How to fix it: Verify network connectivity using telnet ldap.company.com 636. Import the LDAP CA certificate into the Java runtime using keytool -importcert -file ca.crt -keystore $JAVA_HOME/lib/security/cacerts.
• Code showing the fix: Configure the UnboundID connection to use a custom SSLSocketFactory if the default truststore validation fails in non-production environments.

Official References

• Genesys Cloud Groups API Documentation
• gencloud-java SDK Reference
• Quartz Scheduler Documentation
• UnboundID LDAP SDK Documentation