*
   * @param listener the listener to run when the service changes state is complete
   * @param executor the executor in which the listeners callback methods will be run. For fast,
   *     lightweight listeners that would be safe to execute in any thread, consider {@link
   *     MoreExecutors#directExecutor}.
   * @since 13.0
   */
  void addListener(Listener listener, Executor executor);

  /**
   * The lifecycle states of a service.

     * hold the synchronizer. This synchronizer is used to implement the blocking and waiting calls
     * as well as to handle state changes in a thread-safe manner. The current state of the future
     * is held in the Sync state, and the lock is released whenever the state changes to {@link
     * #COMPLETED}, {@link #CANCELLED}, or {@link #INTERRUPTED}
     *

func (target *KafkaTarget) Close() error {
	close(target.quitCh)

	if target.batch != nil {
		target.batch.Close()
	}

	if target.producer != nil {
		if target.store != nil {
			// It is safe to abort the current transaction if
			// queue_dir is configured
			target.producer.AbortTxn()
		} else {
			target.producer.CommitTxn()
		}
		target.producer.Close()
		return target.client.Close()
	}

Since HTTP requests frequently happen in parallel, connection pooling must be thread-safe.

These are the primary classes involved with establishing, sharing, and terminating connections:

      throw new IllegalArgumentException(e);
    }

    boolean empty;
    if (effectiveRange.isEmpty()) {
      empty = true;
    } else {
      /*
       * requireNonNull is safe because the effectiveRange operations above would have thrown or
       * effectiveRange.isEmpty() would have returned true.
       */
      C afterLower = requireNonNull(range.lowerBound.leastValueAbove(domain));

import java.util.concurrent.atomic.AtomicInteger;
import java.util.concurrent.locks.ReadWriteLock;
import java.util.concurrent.locks.ReentrantReadWriteLock;

/**
 * Cache entry for directory contents with thread-safe operations
 */
public class DirectoryCacheEntry {

    private final String directoryPath;
    private final Smb2LeaseKey leaseKey;
    private final long createTime;
    private volatile long lastUpdateTime;

                size = sfd.getInitialSize();
                resumeKey = rkresp.getResumeKey();

                // start with some reasonably safe defaults, the server will till us if it does not like it
                // can we resume this if we loose the file descriptor?

                int maxChunks = 256;
                int maxChunkSize = 1024 * 1024;

        // Then
        assertNotNull(exception.getContext());
        assertTrue(exception.getContext().isEmpty());

        // Adding null context should be safe
        exception.withContext(null);
        assertTrue(exception.getContext().isEmpty());
    }

    @Test
    @DisplayName("Should be serializable")
    void testSerialization() throws Exception {

### High availability

A stand-alone MinIO server would go down if the server hosting the drives goes offline. In contrast, a distributed MinIO setup with _m_ servers and _n_ drives will have your data safe as long as _m/2_ servers or _m*n_/2 or more drives are online.

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

import java.util.ArrayList;
import java.util.List;
import java.util.Map;

/**
 * Utility class for type-safe value extraction from Map objects.
 * Centralizes map access patterns to reduce code duplication and improve type safety.
 *
 * <p>This class provides methods to safely extract typed values from Map&lt;String, Object&gt;