try {
            // Start multiple processes
            processHelper.startProcess(sessionId1, cmdList, pbCall);
            processHelper.startProcess(sessionId2, cmdList, pbCall);

            assertTrue(processHelper.isProcessRunning());

            // Wait a bit for the processes to start
            Thread.sleep(50);

            // Destroy all processes
            processHelper.destroy();

     * @param cmdList list of command and arguments to execute
     * @param pbCall callback to configure the ProcessBuilder
     * @param bufferSize size of the buffer for process output
     * @param outputCallback callback to handle process output lines
     * @return JobProcess representing the started process
     * @throws JobProcessingException if the process cannot be started
     */

    }

    /**
     * Processes a document map for datastore operations.
     * Default implementation delegates to the basic process method.
     *
     * @param target the document data to process
     * @param params the data store parameters
     * @return the processed document data
     */
    public Map<String, Object> process(final Map<String, Object> target, final DataStoreParams params) {

 * referenced in HTML documents. This generator extracts images from HTML content
 * and processes them to create thumbnail images based on configured dimensions
 * and format settings.
 *
 * <p>The generator validates image MIME types, processes image data through
 * ImageIO operations, and applies scaling and cropping to generate thumbnails
 * that meet the specified size requirements.</p>
 *

        return url;
    }

    /**
     * Extracts and processes the site path from a URL with proper encoding handling.
     * Removes protocol, query parameters, and applies URL decoding based on encoding settings.
     *
     * @param u the URL string to process
     * @param encoding the character encoding to use for URL decoding
     * @return the processed site path, abbreviated if necessary
     */

        } catch (JobProcessingException e) {
            assertTrue(e.getMessage().contains("10 crawler processes are running"));
            assertTrue(e.getMessage().contains("Max processes are 5"));
        }
    }

    // Test execute method with no max process limit
    public void test_execute_noMaxProcessLimit() {
        // Setup test
        crawlJob = new CrawlJob() {

     * @param resultData the result data to be processed
     * @return the access result containing the processed data
     */
    @Override
    protected AccessResult<?> createAccessResult(final ResponseData responseData, final ResultData resultData) {
        return super.createAccessResult(responseData, ingest(responseData, resultData));
    }

    /**
     * Processes the result data through all available ingesters.

/**
 * Job class for updating label information in the search index.
 * This job processes documents and updates their label fields based on URL pattern matching.
 */
public class UpdateLabelJob {

    private static final Logger logger = LogManager.getLogger(UpdateLabelJob.class);

    /**
     * Query builder for filtering documents to be processed.
     */
    protected QueryBuilder queryBuilder = null;

    /**

        } catch (final Exception e) {
            if (logger.isDebugEnabled()) {
                logger.debug("Failed to process a ping request.", e);
            }
            writeJsonResponse(HttpServletResponse.SC_INTERNAL_SERVER_ERROR, e);
        }
    }

    /**
     * Processes a search request.
     * @param request The HTTP request.
     * @param response The HTTP response.

import org.opensearch.search.aggregations.bucket.terms.Terms;

import com.google.common.io.BaseEncoding;

/**
 * Response object for faceted search results containing query counts and field facets.
 * This class processes OpenSearch aggregations to provide structured facet information
 * for search result filtering and navigation.
 */
public class FacetResponse {
    /**