VersionID: versionID,
			// Since we are preserving a delete marker, we have to make sure this is always true.
			// regardless of the current configuration of the bucket we must preserve all versions
			// on the pool being batch replicated from source.
			Versioned:          true,
			MTime:              srcObjInfo.ModTime,
			DeleteMarker:       srcObjInfo.DeleteMarker,
			ReplicationRequest: true,
		})
		return err
	}

			}

			if !isNilPtrValue { // ignore if value is nil
				f := joinFields[idx][len(joinFields[idx])-1]
				db.AddError(f.Set(db.Statement.Context, relValue, values[idx]))
			}
		}

		// release data to pool
		field.NewValuePool.Put(values[idx])
	}
}

// ScanMode scan data mode
type ScanMode uint8

// scan modes
const (
	ScanInitialized         ScanMode = 1 << 0 // 1

	parquetSupport = env.Get("MINIO_API_SELECT_PARQUET", config.EnableOff) == config.EnableOn
}

var bufPool = bpool.Pool[*bytes.Buffer]{
	New: func() *bytes.Buffer {
		// make a buffer with a reasonable capacity.
		return bytes.NewBuffer(make([]byte, 0, maxRecordSize))
	},
}

var bufioWriterPool = bpool.Pool[*bufio.Writer]{
	New: func() *bufio.Writer {
		// io.Discard is just used to create the writer. Actual destination

This can be very useful for setting up **resources** that you need to use for the whole app, and that are **shared** among requests, and/or that you need to **clean up** afterwards. For example, a database connection pool, or loading a shared machine learning model.

## Use Case { #use-case }

Let's start with an example **use case** and then see how to solve it with this.

Isso pode ser muito útil para configurar **recursos** que você precisa usar por toda a aplicação, e que são **compartilhados** entre as requisições e/ou que você precisa **limpar** depois. Por exemplo, um pool de conexões com o banco de dados ou o carregamento de um modelo de machine learning compartilhado.

## Caso de uso { #use-case }

Vamos começar com um exemplo de **caso de uso** e então ver como resolvê-lo com isso.

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 * This processor supports searching with multiple searchers concurrently and merging their results based on
 * ranking scores to provide more comprehensive and accurate search results.
 *
 * The processor maintains a pool of searchers and an executor service for concurrent operations.
 * It implements rank fusion techniques to combine results from different search engines
 * and provides a unified search interface.
 */

        new LinkedBlockingDeque<Object>(),
        new LinkedBlockingDeque<Object>(10),
        new PriorityBlockingQueue<Object>(10, Ordering.arbitrary()));
  }

  /*
   * We need to perform operations in a thread pool, even for simple cases, because the queue might
   * be a SynchronousQueue.
   */
  private ExecutorService threadPool;

  @Override
  public void setUp() {
    threadPool = newCachedThreadPool();
  }

   * instance. This method is guaranteed to only be called once.
   *
   * <p>By default this returns a new {@link ScheduledExecutorService} with a single thread pool
   * that sets the name of the thread to the {@linkplain #serviceName() service name}. Also, the
   * pool will be {@linkplain ScheduledExecutorService#shutdown() shut down} when the service
   * {@linkplain Service.State#TERMINATED terminates} or {@linkplain Service.State#TERMINATED

			if err != nil && testCase.success {
				t.Fatalf("Test %d: unexpected error: %v", i+1, err)
			}
			_, _, err = createServerEndpoints(testCase.serverAddr, srvCtxt.Layout.pools, srvCtxt.Layout.legacy)
			if err != nil && testCase.success {
				t.Errorf("Test %d: Expected success but failed instead %s", i+1, err)
			}
			if err == nil && !testCase.success {