Searching Genesys Cloud Recording Transcripts for Keywords with Java and Elasticsearch Mapping
What You Will Build
- A Java application that queries Genesys Cloud conversation transcripts for specific keywords using the Search API.
- Uses the official Genesys Cloud Java SDK to execute Elasticsearch-backed search queries and parse structured hit results.
- Covers OAuth authentication, request construction, pagination, and 429 rate-limit handling in a single runnable module.
Prerequisites
- OAuth Client ID and Secret with
search:query:executeandanalytics:conversation:viewscopes - Genesys Cloud Java SDK v2.0.0+ (
com.genesiscloud:genesyscloud-java) - Java 11+ runtime
- Maven or Gradle build tool
- Network access to
https://api.mypurecloud.com(or your environment domain)
Authentication Setup
The Genesys Cloud Java SDK includes a built-in OAuth token manager that handles initial token acquisition, caching, and automatic refresh. You initialize it using the PureCloudPlatformClientV2 builder. The SDK caches tokens in memory and refreshes them before expiration. If the refresh fails, the SDK throws an ApiException with a 401 status.
import com.genesiscloud.platform.client.v2.PureCloudPlatformClientV2;
import com.genesiscloud.platform.client.v2.auth.OAuth;
public class AuthSetup {
public static PureCloudPlatformClientV2 initializeClient(String clientId, String clientSecret, String baseUri) {
return PureCloudPlatformClientV2.builder()
.withBaseUri(baseUri)
.withOAuth(new OAuth.Builder()
.withClientId(clientId)
.withClientSecret(clientSecret)
.withScopes("search:query:execute", "analytics:conversation:view")
.build())
.build();
}
}
Store credentials in environment variables or a secure vault. Never hardcode secrets in source control. The SDK throws ApiException with status 401 if the client credentials are invalid or the token expires without a successful refresh.
Implementation
Step 1: Initialize the Search API Client and Configure Retry Logic
The Search API enforces strict rate limits. A production client must handle 429 Too Many Requests responses with exponential backoff. The SDK throws ApiException for all HTTP errors. You must catch it, inspect the status code, and retry when appropriate.
import com.genesiscloud.platform.client.v2.api.SearchApi;
import com.genesiscloud.platform.client.v2.exception.ApiException;
import java.time.Duration;
public class SearchClient {
private final SearchApi api;
private static final int MAX_RETRIES = 3;
private static final Duration BASE_DELAY = Duration.ofMillis(500);
public SearchClient(PureCloudPlatformClientV2 client) {
this.api = new SearchApi(client);
}
public <T> T executeWithRetry(java.util.function.Supplier<T> apiCall) throws ApiException {
ApiException lastException = null;
for (int attempt = 0; attempt <= MAX_RETRIES; attempt++) {
try {
return apiCall.get();
} catch (ApiException e) {
lastException = e;
if (e.getCode() == 429 && attempt < MAX_RETRIES) {
long delay = BASE_DELAY.toMillis() * (1L << attempt);
try { Thread.sleep(delay); } catch (InterruptedException ex) { Thread.currentThread().interrupt(); throw new RuntimeException(ex); }
} else {
throw e;
}
}
}
throw lastException;
}
}
The executeWithRetry method wraps any SDK call. It catches ApiException, checks for 429, applies exponential backoff, and rethrows after exhausting retries. This prevents cascading failures during high-volume transcript searches.
Step 2: Construct the Elasticsearch-Style Search Query
Genesys Cloud Search API uses Elasticsearch query syntax. You must specify a filter to target transcripts, define the keyword query, set pagination parameters, and request specific fields to reduce payload size. The SDK models this as SearchQueryRequest.
import com.genesiscloud.platform.client.v2.api.model.SearchQueryRequest;
import java.util.List;
import java.util.Map;
public class QueryBuilder {
public static SearchQueryRequest buildTranscriptQuery(String keyword, int from, int size) {
return SearchQueryRequest.builder()
.filter("type:transcript")
.query(String.format("transcript:%s", keyword))
.from(from)
.size(size)
.fields(List.of("conversationId", "transcript", "date", "participants"))
.build();
}
}
The filter parameter restricts results to transcript documents. The query parameter uses Elasticsearch field syntax (transcript:keyword). The fields parameter tells the API to return only those attributes in the _source payload. Omitting fields returns the full document, which increases latency and memory usage.
Step 3: Execute Query and Map Elasticsearch Results
The API returns a SearchResponse object that mirrors the Elasticsearch JSON structure. The hits.hits array contains individual matches. Each SearchHit provides _id, _source, and fields. You must iterate through hits, extract the _source map, and cast values to appropriate Java types. Pagination requires incrementing from until it meets or exceeds total.value.
import com.genesiscloud.platform.client.v2.api.model.SearchResponse;
import com.genesiscloud.platform.client.v2.api.model.SearchHit;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
public class TranscriptMapper {
public static List<Map<String, Object>> fetchAllTranscripts(SearchClient client, String keyword, int pageSize) throws com.genesiscloud.platform.client.v2.exception.ApiException {
List<Map<String, Object>> results = new ArrayList<>();
int from = 0;
long totalMatches = 0;
do {
SearchQueryRequest request = QueryBuilder.buildTranscriptQuery(keyword, from, pageSize);
SearchResponse response = client.executeWithRetry(() -> client.getApi().postSearchQueries(request));
long currentTotal = response.getTotal() != null ? response.getTotal().getValue() : 0;
totalMatches = currentTotal;
if (response.getHits() != null && response.getHits().getHits() != null) {
for (SearchHit hit : response.getHits().getHits()) {
if (hit.getSource() != null) {
results.add(Map.copyOf(hit.getSource()));
}
}
}
from += pageSize;
} while (from < totalMatches && totalMatches > 0);
return results;
}
}
The loop continues until from reaches the total hit count. The Map.copyOf creates an immutable snapshot of each _source. The Elasticsearch mapping places transcript text under the transcript key, conversation identifiers under conversationId, and timestamps under date. You can access these directly via map.get("transcript").
Complete Working Example
import com.genesiscloud.platform.client.v2.PureCloudPlatformClientV2;
import com.genesiscloud.platform.client.v2.api.SearchApi;
import com.genesiscloud.platform.client.v2.api.model.SearchQueryRequest;
import com.genesiscloud.platform.client.v2.api.model.SearchResponse;
import com.genesiscloud.platform.client.v2.api.model.SearchHit;
import com.genesiscloud.platform.client.v2.auth.OAuth;
import com.genesiscloud.platform.client.v2.exception.ApiException;
import java.time.Duration;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
public class TranscriptKeywordSearch {
private final SearchApi api;
private static final int MAX_RETRIES = 3;
private static final Duration BASE_DELAY = Duration.ofMillis(500);
private static final int PAGE_SIZE = 100;
public TranscriptKeywordSearch(String clientId, String clientSecret, String baseUri) {
PureCloudPlatformClientV2 client = PureCloudPlatformClientV2.builder()
.withBaseUri(baseUri)
.withOAuth(new OAuth.Builder()
.withClientId(clientId)
.withClientSecret(clientSecret)
.withScopes("search:query:execute", "analytics:conversation:view")
.build())
.build();
this.api = new SearchApi(client);
}
private <T> T executeWithRetry(java.util.function.Supplier<T> apiCall) throws ApiException {
ApiException lastException = null;
for (int attempt = 0; attempt <= MAX_RETRIES; attempt++) {
try {
return apiCall.get();
} catch (ApiException e) {
lastException = e;
if (e.getCode() == 429 && attempt < MAX_RETRIES) {
long delay = BASE_DELAY.toMillis() * (1L << attempt);
try { Thread.sleep(delay); } catch (InterruptedException ex) { Thread.currentThread().interrupt(); throw new RuntimeException(ex); }
} else {
throw e;
}
}
}
throw lastException;
}
public List<Map<String, Object>> searchTranscripts(String keyword) throws ApiException {
List<Map<String, Object>> results = new ArrayList<>();
int from = 0;
long totalMatches = 0;
do {
SearchQueryRequest request = SearchQueryRequest.builder()
.filter("type:transcript")
.query(String.format("transcript:%s", keyword))
.from(from)
.size(PAGE_SIZE)
.fields(List.of("conversationId", "transcript", "date", "participants"))
.build();
SearchResponse response = executeWithRetry(() -> api.postSearchQueries(request));
long currentTotal = response.getTotal() != null ? response.getTotal().getValue() : 0;
totalMatches = currentTotal;
if (response.getHits() != null && response.getHits().getHits() != null) {
for (SearchHit hit : response.getHits().getHits()) {
if (hit.getSource() != null) {
results.add(Map.copyOf(hit.getSource()));
}
}
}
from += PAGE_SIZE;
} while (from < totalMatches && totalMatches > 0);
return results;
}
public static void main(String[] args) {
String clientId = System.getenv("GENESYS_CLIENT_ID");
String clientSecret = System.getenv("GENESYS_CLIENT_SECRET");
String baseUri = System.getenv("GENESYS_BASE_URI");
if (clientId == null || clientSecret == null || baseUri == null) {
System.err.println("Missing required environment variables: GENESYS_CLIENT_ID, GENESYS_CLIENT_SECRET, GENESYS_BASE_URI");
System.exit(1);
}
TranscriptKeywordSearch searcher = new TranscriptKeywordSearch(clientId, clientSecret, baseUri);
try {
List<Map<String, Object>> transcripts = searcher.searchTranscripts("refund");
System.out.println(String.format("Found %d transcript matches.", transcripts.size()));
for (int i = 0; i < Math.min(5, transcripts.size()); i++) {
Map<String, Object> record = transcripts.get(i);
System.out.println(String.format("Conversation: %s | Date: %s | Snippet: %s",
record.get("conversationId"),
record.get("date"),
record.get("transcript")));
}
} catch (ApiException e) {
System.err.println(String.format("Search failed with status %d: %s", e.getCode(), e.getMessage()));
System.exit(1);
}
}
}
Add the SDK dependency to your pom.xml:
<dependency>
<groupId>com.genesiscloud</groupId>
<artifactId>genesyscloud-java</artifactId>
<version>2.0.0</version>
</dependency>
Run the class with environment variables set. The script authenticates, paginates through all matches, applies 429 retry logic, and prints the first five results with conversation ID, timestamp, and transcript text.
Common Errors & Debugging
Error: 401 Unauthorized
- Cause: Invalid client ID/secret, expired token without successful refresh, or missing OAuth scope configuration.
- Fix: Verify credentials in the Genesys Cloud admin console under Platform > Security > OAuth. Ensure the SDK builder includes the exact scopes. Check that the environment variable values contain no trailing whitespace.
- Code Check: The SDK throws
ApiExceptionwith code 401. Loge.getResponseBody()to see the exact OAuth error message.
Error: 403 Forbidden
- Cause: The OAuth client lacks the
search:query:executescope, or the user associated with the client lacks permission to view transcripts. - Fix: Add
search:query:executeto the OAuth client scopes. Grant theAnalytics Conversation Viewerrole to the OAuth client’s associated user or application. - Debug: Check the
X-Genesys-Request-Idheader in the response and correlate it with Genesys Cloud audit logs.
Error: 429 Too Many Requests
- Cause: Exceeded the Search API rate limit (typically 10 requests per second per client).
- Fix: The complete example includes exponential backoff. If you see repeated 429s, reduce query frequency, increase page size to reduce call count, or implement a token bucket rate limiter.
- Code Check: Monitor the
Retry-Afterheader in theApiExceptionresponse. AdjustBASE_DELAYin the retry logic accordingly.
Error: 400 Bad Request
- Cause: Invalid Elasticsearch query syntax, missing
filter, or unsupported field names. - Fix: Ensure
filteris exactlytype:transcript. Validate keyword escaping if using special characters. Use only supported fields in thefieldsarray. - Debug: Print the raw
SearchQueryRequestJSON before execution. Verify syntax against Elasticsearch query DSL documentation.