Performing Bulk Genesys Cloud SCIM Operations with Spring Batch in Java
What You Will Build
- The code ingests a CSV file of user records, groups them into batches of one hundred, and executes RFC 7644 compliant POST and PATCH operations against the Genesys Cloud SCIM API.
- This implementation utilizes the Genesys Cloud Java SDK and the Spring Batch framework.
- The tutorial covers Java 17 with Maven dependencies and Spring Boot 3.2.
Prerequisites
- OAuth 2.0 Client Credentials grant with the
scim:users:writescope - Genesys Cloud Java SDK version 145.0.0 or higher
- Java 17 runtime and Maven 3.8 build tool
- Spring Boot 3.2 with
spring-boot-starter-batch - Input CSV file with columns:
externalId,userName,displayName,emails,phoneNumbers,state(values must beCREATEorUPDATE) - Maven dependencies:
com.mypurecloud.api.client:platform-client-java,org.springframework.boot:spring-boot-starter-batch
Authentication Setup
The Genesys Cloud Java SDK manages OAuth token acquisition and automatic refresh when configured correctly. You must register a Client Credentials application in the Genesys Cloud Admin Portal and attach the scim:users:write scope. The following initialization block configures the SDK with your environment, client identifier, and client secret.
import com.mypurecloud.api.client.ApiClient;
import com.mypurecloud.api.client.Configuration;
import com.mypurecloud.api.client.auth.OAuth;
import com.mypurecloud.api.client.auth.OAuthClient;
import com.mypurecloud.api.client.auth.OAuthClientCredentials;
import com.mypurecloud.api.client.platformclient.PlatformClient;
import com.mypurecloud.api.client.api.scim.ScimApi;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import java.util.List;
@Configuration
public class GenesysConfig {
@Bean
public ScimApi scimApi() throws Exception {
// Replace with your actual environment, client ID, and client secret
final String environment = "mypurecloud.com";
final String clientId = "YOUR_CLIENT_ID";
final String clientSecret = "YOUR_CLIENT_SECRET";
PlatformClient.setEnvironment(environment);
PlatformClient.init();
ApiClient apiClient = PlatformClient.createApiClient();
Configuration config = apiClient.getConfiguration();
OAuth oauth = new OAuthClient(
apiClient,
new OAuthClientCredentials(clientId, clientSecret, List.of("scim:users:write"))
);
// Force initial token fetch to validate credentials
oauth.getAccessToken();
config.setOAuth(oauth);
return new ScimApi(apiClient);
}
}
The OAuthClient handles the /oauth/token endpoint automatically. The SDK caches the bearer token and requests a new one when the current token expires. This eliminates manual token rotation logic in your batch job.
Implementation
Step 1: CSV Reader and Batch Configuration
Spring Batch processes data in chunks. The FlatFileItemReader parses the CSV file line by line. The @StepScope annotation allows Spring to inject job parameters like the input file path. The chunk size is set to one hundred to match the SCIM Bulk API limit.
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.ItemWriter;
import org.springframework.batch.item.file.FlatFileItemReader;
import org.springframework.batch.item.file.mapping.DefaultLineMapper;
import org.springframework.batch.item.file.transform.DelimitedLineTokenizer;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.io.FileSystemResource;
import org.springframework.transaction.PlatformTransactionManager;
@Configuration
public class BatchConfiguration {
@Bean
public FlatFileItemReader<UserRecord> userReader(@Value("#{jobParameters['inputFile']}") String inputFile) {
FlatFileItemReader<UserRecord> reader = new FlatFileItemReader<>();
reader.setResource(new FileSystemResource(inputFile));
reader.setLinesToSkip(1); // Skip header row
DelimitedLineTokenizer tokenizer = new DelimitedLineTokenizer();
tokenizer.setDelimiter(",");
tokenizer.setNames("externalId", "userName", "displayName", "emails", "phoneNumbers", "state");
DefaultLineMapper<UserRecord> lineMapper = new DefaultLineMapper<>();
lineMapper.setLineTokenizer(tokenizer);
lineMapper.setFieldSetMapper(fieldSet -> {
UserRecord record = new UserRecord();
record.setExternalId(fieldSet.readString("externalId"));
record.setUserName(fieldSet.readString("userName"));
record.setDisplayName(fieldSet.readString("displayName"));
record.setEmails(fieldSet.readString("emails"));
record.setPhoneNumbers(fieldSet.readString("phoneNumbers"));
record.setState(fieldSet.readString("state").trim());
return record;
});
reader.setLineMapper(lineMapper);
return reader;
}
@Bean
public Step scimStep(JobRepository jobRepository, PlatformTransactionManager transactionManager,
FlatFileItemReader<UserRecord> reader,
ItemProcessor<UserRecord, UserRecord> processor,
ItemWriter<UserRecord> writer) {
return new StepBuilder("scimStep", jobRepository)
.<UserRecord, UserRecord>chunk(100, transactionManager)
.reader(reader)
.processor(processor)
.writer(writer)
.build();
}
@Bean
public Job bulkScimJob(JobRepository jobRepository, Step scimStep) {
return new JobBuilder("bulkScimJob", jobRepository)
.start(scimStep)
.build();
}
}
The UserRecord class is a simple data holder. The chunk size of one hundred ensures the writer receives exactly the maximum number of operations the SCIM Bulk endpoint accepts per request.
Step 2: SCIM Operation Construction and Processor
The processor validates the record and prepares it for the writer. The actual RFC 7644 payload construction happens in the writer to allow batch-level retry logic. This step ensures data cleanliness before API submission.
import org.springframework.batch.item.ItemProcessor;
import org.springframework.stereotype.Component;
@Component
public class UserRecordProcessor implements ItemProcessor<UserRecord, UserRecord> {
@Override
public UserRecord process(UserRecord record) {
// Skip malformed records to prevent entire batch failures
if (record.getExternalId() == null || record.getUserName() == null) {
System.out.println("Skipping malformed record: " + record.getExternalId());
return null;
}
// Normalize state to uppercase
record.setState(record.getState().toUpperCase());
if (!"CREATE".equals(record.getState()) && !"UPDATE".equals(record.getState())) {
System.out.println("Invalid state for record: " + record.getExternalId());
return null;
}
return record;
}
}
The processor returns null for invalid records. Spring Batch automatically excludes null items from the chunk sent to the writer. This prevents unnecessary API calls for bad data.
Step 3: Chunked Writer, Retry Logic, and Reconciliation
The writer constructs the SCIM Bulk request, submits it to /api/v2/scim/v2/Bulk, handles partial failures with exponential backoff retries, and generates the reconciliation report. This component contains the core API interaction logic.
import com.mypurecloud.api.client.api.scim.ScimApi;
import com.mypurecloud.api.client.model.BulkRequest;
import com.mypurecloud.api.client.model.BulkResponse;
import com.mypurecloud.api.client.model.ScimOperation;
import com.mypurecloud.api.client.model.ScimPatchOperation;
import com.mypurecloud.api.client.model.ScimPatchRequest;
import com.mypurecloud.api.client.model.ScimUser;
import org.springframework.batch.item.Chunk;
import org.springframework.batch.item.ItemWriter;
import org.springframework.stereotype.Component;
import java.io.FileWriter;
import java.io.PrintWriter;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.TimeUnit;
@Component
public class ScimBulkItemWriter implements ItemWriter<UserRecord> {
private final ScimApi scimApi;
private final PrintWriter reconciliationWriter;
public ScimBulkItemWriter(ScimApi scimApi) throws Exception {
this.scimApi = scimApi;
this.reconciliationWriter = new PrintWriter(new FileWriter("scim_reconciliation_report.csv"));
this.reconciliationWriter.println("externalId,userName,state,httpStatusCode,statusMessage");
}
@Override
public void write(Chunk<? extends UserRecord> chunk) {
List<UserRecord> records = new ArrayList<>(chunk.getItems());
int maxRetries = 3;
int retryCount = 0;
boolean hasFailures = true;
while (hasFailures && retryCount < maxRetries) {
BulkRequest bulkRequest = new BulkRequest();
List<ScimOperation> operations = new ArrayList<>();
for (UserRecord record : records) {
ScimOperation op = new ScimOperation();
if ("CREATE".equals(record.getState())) {
op.setMethod("POST");
op.setPath("/Users");
ScimUser user = new ScimUser();
user.setExternalId(record.getExternalId());
user.setUserName(record.getUserName());
user.setDisplayName(record.getDisplayName());
user.setActive(true);
// Parse emails and phones into proper SCIM structures
user.setEmails(List.of(new com.mypurecloud.api.client.model.ScimEmail()
.value(record.getEmails()).primary(true)));
user.setPhoneNumbers(List.of(new com.mypurecloud.api.client.model.ScimPhoneNumber()
.value(record.getPhoneNumbers()).primary(true)));
op.setData(user);
} else {
op.setMethod("PATCH");
op.setPath("/Users/" + record.getExternalId());
ScimPatchRequest patch = new ScimPatchRequest();
ScimPatchOperation patchOp = new ScimPatchOperation();
patchOp.setOp("replace");
patchOp.setPath("userName");
patchOp.setValue(record.getUserName());
patch.setOperations(List.of(patchOp));
op.setData(patch);
}
operations.add(op);
}
bulkRequest.setOperations(operations);
try {
BulkResponse response = scimApi.createScimv2BulkRequest(bulkRequest);
hasFailures = false;
// Process results and update retry list
List<UserRecord> failedRecords = new ArrayList<>();
for (ScimOperation result : response.getOperations()) {
String externalId = extractExternalId(result);
String userName = extractUserName(result);
int statusCode = result.getStatus();
String statusMessage = result.getDetail();
reconciliationWriter.printf("%s,%s,%s,%d,%s%n",
externalId, userName, result.getMethod(), statusCode, statusMessage);
if (statusCode >= 400 && statusCode < 500) {
// Client errors (4xx) are not retried to avoid infinite loops
System.out.println("Client error for " + externalId + ": " + statusMessage);
} else if (statusCode >= 500 || statusCode == 429) {
// Server errors and rate limits are retried
UserRecord original = records.stream()
.filter(r -> r.getExternalId().equals(externalId))
.findFirst().orElse(null);
if (original != null) failedRecords.add(original);
}
}
reconciliationWriter.flush();
if (!failedRecords.isEmpty()) {
records = failedRecords;
hasFailures = true;
retryCount++;
TimeUnit.SECONDS.sleep(Math.pow(2, retryCount)); // Exponential backoff
}
} catch (Exception e) {
System.err.println("Bulk API call failed: " + e.getMessage());
retryCount++;
TimeUnit.SECONDS.sleep(Math.pow(2, retryCount));
}
}
}
private String extractExternalId(ScimOperation op) {
try {
return op.getData() != null ? op.getData().toString().split("externalId=")[1].split(",")[0] : "unknown";
} catch (Exception e) {
return "unknown";
}
}
private String extractUserName(ScimOperation op) {
try {
return op.getData() != null ? op.getData().toString().split("userName=")[1].split(",")[0] : "unknown";
} catch (Exception e) {
return "unknown";
}
}
}
The writer maps each record to a ScimOperation. For CREATE records, it constructs a full ScimUser object. For UPDATE records, it constructs a ScimPatchRequest with a single replace operation on the userName field. The API call targets POST /api/v2/scim/v2/Bulk. A realistic request payload looks like this:
{
"operations": [
{
"method": "POST",
"path": "/Users",
"data": {
"schemas": ["urn:ietf:params:scim:schemas:core:2.0:User"],
"externalId": "ext-1001",
"userName": "jdoe@example.com",
"displayName": "Jane Doe",
"active": true,
"emails": [{"value": "jdoe@example.com", "primary": true}]
}
},
{
"method": "PATCH",
"path": "/Users/ext-1002",
"data": {
"schemas": ["urn:ietf:params:scim:schemas:core:2.0:User"],
"Operations": [{"op": "replace", "path": "userName", "value": "updated@example.com"}]
}
}
]
}
The API returns a BulkResponse containing an operations array where each element mirrors the input but includes status and detail fields. The writer parses these statuses, writes to the reconciliation CSV, and isolates records that returned 429 or 5xx codes for retry. Client errors (4xx) are logged and excluded from retries to prevent infinite loops on invalid data.
Complete Working Example
The following Maven configuration and application entry point tie the components together. Save the code blocks from Steps 1-3 into their respective package files.
pom.xml dependencies:
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-batch</artifactId>
</dependency>
<dependency>
<groupId>com.mypurecloud.api.client</groupId>
<artifactId>platform-client-java</artifactId>
<version>145.0.0</version>
</dependency>
</dependencies>
Application.java:
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.batch.core.JobExecution;
import org.springframework.batch.core.JobParameters;
import org.springframework.batch.core.launch.JobLauncher;
import org.springframework.batch.core.repository.JobRepository;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.CommandLineRunner;
import org.springframework.context.annotation.Bean;
@SpringBootApplication
public class Application {
@Autowired
private JobLauncher jobLauncher;
@Autowired
private org.springframework.batch.core.Job bulkScimJob;
public static void main(String[] args) {
SpringApplication.run(Application.class, args);
}
@Bean
public CommandLineRunner run(JobRepository jobRepository) {
return args -> {
JobParameters params = new JobParameters.Builder()
.addString("inputFile", "users.csv")
.addLong("runId", System.currentTimeMillis())
.toJobParameters();
JobExecution execution = jobLauncher.run(bulkScimJob, params);
System.out.println("Batch Status: " + execution.getStatus());
};
}
}
The CommandLineRunner triggers the job with the input file path. Spring Batch handles transaction management, checkpointing, and chunk assembly. The writer manages API communication, retry logic, and report generation.
Common Errors & Debugging
Error: 401 Unauthorized
- Cause: The OAuth client credentials are invalid, expired, or missing the
scim:users:writescope. - Fix: Verify the client ID and secret in the
GenesysConfigclass. Confirm the OAuth application in the Admin Portal has the exact scope attached. Restart the application to force a fresh token fetch. - Code fix: Add explicit scope validation during initialization.
if (!oauth.getScopes().contains("scim:users:write")) {
throw new IllegalStateException("Missing required scope: scim:users:write");
}
Error: 403 Forbidden
- Cause: The OAuth application lacks SCIM API access permissions in the Genesys Cloud tenant.
- Fix: Navigate to Admin > Users > Security > OAuth 2.0 Applications. Select your client and ensure the “SCIM User Read/Write” permission is enabled. Save and wait for policy propagation.
Error: 429 Too Many Requests
- Cause: The tenant has reached its SCIM API rate limit. Genesys Cloud enforces per-tenant and per-endpoint throttling.
- Fix: The provided writer implements exponential backoff. If failures persist, reduce the chunk size below one hundred or add a fixed delay between chunks using
Thread.sleep(). Monitor theRetry-Afterheader in the response if available.
Error: 400 Bad Request (Invalid SCIM Payload)
- Cause: RFC 7644 requires strict schema compliance. Missing required fields like
userNameor malformed patch operations cause rejection. - Fix: Validate the CSV input before processing. Ensure
PATCHoperations include the correctpathandvaluestructure. Use the Genesys Cloud API Explorer to test individual payloads before bulk submission.