// LoadRebalanceMeta notifies all peers to load rebalance.bin from object layer.
// Note: Only peers participating in rebalance operation, namely the first node
// in each pool will load rebalance.bin.
func (sys *NotificationSys) LoadRebalanceMeta(ctx context.Context, startRebalance bool) {
	ng := WithNPeers(len(sys.peerClients))
	for idx, client := range sys.peerClients {
		if client == nil {
			continue
		}
		client := client

            }
            logger.info("Disconnected from {}", address);
        }
        connected = false;
    }

    /**
     * Gets the thread pool from the underlying client.
     *
     * @return The thread pool.
     */
    @Override
    public ThreadPool threadPool() {
        return client.threadPool();
    }

    /**

 * Fix problems with spdy/3.1 and http/2 where the wrong window size was being
   used.
 * Fix 1.5.0 regression where conditional cache responses could corrupt the
   connection pool.


## Version 1.5.0

_2014-03-07_


##### OkHttp no longer uses the default SSL context.

Applications that want to use the global SSL context with OkHttp should configure their

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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.

 * 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();
  }

**Suggestions Not Appearing**
- Confirm documents are indexed: `suggester.refresh()`
- Check query formatting and filters
- Verify analyzer configurations

**Performance Issues**
- Increase thread pool size in SuggesterBuilder
- Optimize batch sizes for indexing operations
- Review OpenSearch cluster performance

**Memory Usage**
- Configure appropriate JVM heap settings
- Monitor index sizes and optimize mappings

Dies kann sehr nützlich sein, um **Ressourcen** einzurichten, die Sie in der gesamten App verwenden wollen und die von Requests **gemeinsam genutzt** werden und/oder die Sie anschließend **aufräumen** müssen. Zum Beispiel ein Pool von Datenbankverbindungen oder das Laden eines gemeinsam genutzten Modells für maschinelles Lernen.

## Anwendungsfall { #use-case }