int newNext = getNext(entry, mask);
        if (lastEntryIndex == -1) {
          // we need to update the root link from table[]
          tableSet(table, tableIndex, newNext);
        } else {
          // we need to update the link from the chain
          entries[lastEntryIndex] = maskCombine(entries[lastEntryIndex], newNext, mask);
        }

        return entryIndex;

				}
			}
		}

		SoftDeleteQueryClause(sd).ModifyStatement(stmt)
		stmt.AddClauseIfNotExists(clause.Update{})
		stmt.Build(stmt.DB.Callback().Update().Clauses...)
	}

	return mac, err
}

func (k *KMS) updateMetrics(err error, latency time.Duration) {
	// First, update the latency histogram
	// Therefore, find the first bucket that holds the counter for
	// requests with a latency at least as large as the given request
	// latency and update its and all subsequent counters.
	bucket := slices.IndexFunc(k.latencyBuckets, func(b time.Duration) bool { return latency < b })

    assertThat(setToTest).isEqualTo(wrappedSet);
    assertThat(setToTest).isEqualTo(copyOfWrappedSet);

    // invalidate setToTest
    wrappedSet.remove(1);
    // sanity check on update of wrappedSet
    assertThat(wrappedSet).isNotEqualTo(copyOfWrappedSet);

    ImmutableSet<Integer> copyOfModifiedSet = ImmutableSet.copyOf(wrappedSet); // {2,3}
    // sanity check on construction of copyOfModifiedSet

## MinIO Deployment on Kubernetes

There are multiple options to deploy MinIO on Kubernetes:

- MinIO-Operator: Operator offers seamless way to create and update highly available distributed MinIO clusters. Refer [MinIO Operator documentation](https://github.com/minio/minio-operator/blob/master/README.md) for more details.

            suggestHelper.indexFromDocuments(ret -> {
                logger.info("Success indexing from documents.");
                latch.countDown();
            }, t -> {
                logger.error("Failed to update suggest index.", t);
                exitCode.set(1);
                latch.countDown();
            });

            try {
                latch.await();

    public EditForm() {
        super();
    }

    /**
     * The unique identifier of the request header configuration being edited.
     * This is a required field for identifying which request header entry to update.
     */
    @Required
    @Size(max = 1000)
    public String id;

    /**
     * The username of the user who last updated this request header configuration.

     */
    public EditForm() {
        super();
    }

    /**
     * The unique identifier of the elevate word configuration being edited.
     * This is a required field for identifying which elevate word entry to update.
     */
    @Required
    @Size(max = 1000)
    public String id;

    /**
     * The username of the user who last updated this elevate word configuration.

import org.dbflute.optional.OptionalEntity;

import jakarta.annotation.Resource;

/**
 * Service class for managing data configuration CRUD operations.
 * This service provides functionality to create, read, update, and delete
 * data configurations used by the Fess crawler system.
 *
 * <p>Data configurations define how the crawler should access and process
 * various data sources such as databases, CSV files, or other structured data.</p>

 * support them). All optional multimap methods are supported, and all returned views are
 * modifiable.
 *
 * <p>This class is not threadsafe when any concurrent operations update the multimap. Concurrent
 * read operations will work correctly. To allow concurrent update operations, wrap your multimap
 * with a call to {@link Multimaps#synchronizedSortedSetMultimap}.
 *
 * <p>See the Guava User Guide article on <a href=