exitCode.set(1);
            }
        }

        logger.info("Replacing new suggest index.");
        suggestHelper.suggester().switchIndex();

        logger.info("Removing old indices.");
        suggestHelper.suggester().removeDisableIndices();

        return exitCode.get();
    }

    private int purge(final LocalDateTime time) {

      boolean hashFloodingDetected(Object[] hashTable) {
        int maxRunBeforeFallback = maxRunBeforeFallback(hashTable.length);
        int mask = hashTable.length - 1;

        // Invariant: all elements at indices in [knownRunStart, knownRunEnd) are nonnull.
        // If knownRunStart == knownRunEnd, this is vacuously true.
        // When knownRunEnd exceeds hashTable.length, it "wraps", detecting runs around the end

                final SearchEngineClient searchEngineClient = ComponentUtil.getSearchEngineClient();
                final String index = fessConfig.getIndexDocumentUpdateIndex();
                searchEngineClient.admin().indices().prepareRefresh(index).execute().actionGet();
                final long numOfDeleted = searchEngineClient.deleteByQuery(index, queryBuilder);
                logger.info("Deleted {} old docs.", numOfDeleted);

Ela ajuda muito durante o **desenvolvimento**, mas você **não deve** usá-la em **produção**.

///

## Conceitos de Implantação

Esses exemplos executam o programa do servidor (por exemplo, Uvicorn), iniciando **um único processo**, ouvindo em todos os IPs (`0.0.0.0`) em uma porta predefinida (por exemplo, `80`).

Esta é a ideia básica. Mas você provavelmente vai querer cuidar de algumas coisas adicionais, como:

* Segurança - HTTPS

import org.dbflute.exception.IllegalBehaviorStateException;
import org.dbflute.util.DfTypeUtil;
import org.opensearch.action.DocWriteResponse.Result;
import org.opensearch.action.admin.indices.refresh.RefreshResponse;
import org.opensearch.action.bulk.BulkItemResponse;
import org.opensearch.action.bulk.BulkRequestBuilder;
import org.opensearch.action.bulk.BulkResponse;

import org.dbflute.exception.IllegalBehaviorStateException;
import org.dbflute.util.DfTypeUtil;
import org.opensearch.action.DocWriteResponse.Result;
import org.opensearch.action.admin.indices.refresh.RefreshResponse;
import org.opensearch.action.bulk.BulkItemResponse;
import org.opensearch.action.bulk.BulkRequestBuilder;
import org.opensearch.action.bulk.BulkResponse;

```Python hl_lines="12"
{!> ../../docs_src/separate_openapi_schemas/tutorial002.py!}
```

////

### Mesmo Esquema para Modelos de Entrada e Saída na Documentação

E agora haverá um único esquema para entrada e saída para o modelo, apenas `Item`, e `description` **não será obrigatório**:

<div class="screenshot">
<img src="/img/tutorial/separate-openapi-schemas/image05.png">
</div>

// India
ഭാരതം

// xn--h2brj9c ("Bharat", Devanagari) : IN
// India
भारत

// xn--mgbbh1a ("Bharat", Kashmiri) : IN
// India
بارت

// xn--mgbbh1a71e ("Bharat", Arabic) : IN
// India
بھارت

// xn--fpcrj9c3d ("Bharat", Telugu) : IN
// India
భారత్

// xn--gecrj9c ("Bharat", Gujarati) : IN
// India
ભારત

    // will look like: [foo, bar, com], [bar, com], [com]. The longest matching rule wins.
    var exactMatch: String? = null
    for (i in domainLabelsUtf8Bytes.indices) {
      val rule = publicSuffixListBytes.binarySearch(domainLabelsUtf8Bytes, i)
      if (rule != null) {
        exactMatch = rule
        break
      }
    }

import org.dbflute.exception.IllegalBehaviorStateException;
import org.dbflute.util.DfTypeUtil;
import org.opensearch.action.DocWriteResponse.Result;
import org.opensearch.action.admin.indices.refresh.RefreshResponse;
import org.opensearch.action.bulk.BulkItemResponse;
import org.opensearch.action.bulk.BulkRequestBuilder;
import org.opensearch.action.bulk.BulkResponse;