* governing permissions and limitations under the License.
 */
package org.codelibs.fess.suggest;

import java.io.IOException;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;

import org.codelibs.fess.suggest.analysis.SuggestAnalyzer;
import org.codelibs.fess.suggest.converter.ReadingConverter;
import org.codelibs.fess.suggest.exception.SuggesterException;

            // The rate limiter should still be functional after concurrent access
            assertTrue(concurrentLimiter.checkAttempt("finaluser", "192.168.3.1"),
                    "Rate limiter should still be functional after concurrent operations");

            // Verify that the rate limiter tracked some activity

     */
    @ValidateTypeFailure
    public Long updatedTime;

    /**
     * The version number of the label type for optimistic locking.
     * This field is required to prevent concurrent modification conflicts
     * by ensuring the label type hasn't been modified by another process.
     */
    @Required
    @ValidateTypeFailure
    public Integer versionNo;

     */
    @ValidateTypeFailure
    public Long updatedTime;

    /**
     * The version number of the role for optimistic locking.
     * This field is required to prevent concurrent modification conflicts
     * by ensuring the role hasn't been modified by another process.
     */
    @Required
    @ValidateTypeFailure
    public Integer versionNo;

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.suggest.request;

import org.codelibs.fess.suggest.concurrent.Deferred;
import org.codelibs.fess.suggest.exception.SuggesterException;
import org.opensearch.core.common.Strings;
import org.opensearch.transport.client.Client;

/**

 * Map<K, V> syncMap = Collections.synchronizedMap(new LruHashMap<>(100));
 * </pre>
 * <p>
 * Alternatively, for high-concurrency scenarios, consider implementing a custom
 * LRU cache using {@link java.util.concurrent.ConcurrentHashMap} with an eviction strategy.
 * </p>
 *
 * @author koichik
 * @param <K> the key type
 * @param <V> the value type
 */
public class LruHashMap<K, V> extends LinkedHashMap<K, V> {

 */
package org.codelibs.fess.exec;

import java.io.File;
import java.lang.management.ManagementFactory;
import java.time.LocalDateTime;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.atomic.AtomicInteger;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.core.misc.DynamicProperties;

 */
package org.codelibs.fess.exec;

import java.io.File;
import java.lang.management.ManagementFactory;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.TimeUnit;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.core.lang.StringUtil;

 * This class coordinates the execution of data store crawling processes,
 * managing multiple concurrent crawling threads and handling the indexing
 * of crawled documents into the search engine.
 *
 * <p>The DataIndexHelper supports:</p>
 * <ul>
 *   <li>Concurrent crawling of multiple data configurations</li>
 *   <li>Thread pool management for crawler execution</li>

import java.util.Comparator;
import java.util.Enumeration;
import java.util.List;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;
import java.util.concurrent.Executors;
import java.util.concurrent.ScheduledExecutorService;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicInteger;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import jcifs.CIFSContext;