final FessConfig fessConfig = ComponentUtil.getFessConfig();
        ComponentUtil.getComponent(ScheduledJobBhv.class).selectCursor(cb -> {
            cb.query().setAvailable_Equal(Constants.T);
            cb.query().setCrawler_Equal(Constants.T);
        }, scheduledJob -> {
            if (fessConfig.isSchedulerTarget(scheduledJob.getTarget())) {
                if (scheduledJob.isRunning()) {

# Benchmarks

Benchmarks independentes da TechEmpower mostram que aplicações **FastAPI** rodando com o Uvicorn como <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">um dos frameworks Python mais rápidos disponíveis</a>, ficando atrás apenas do Starlette e Uvicorn (utilizado internamente pelo FastAPI).

/// note

This is supported since FastAPI version `0.115.0`. 🤓

///

/// tip

This same technique applies to `Query`, `Cookie`, and `Header`. 😎

///

## Cookies with a Pydantic Model

Declare the **cookie** parameters that you need in a **Pydantic model**, and then declare the parameter as `Cookie`:

//// tab | Python 3.10+

 * <p>
 * This class is a wrapper for both {@link jcifs.netbios.NbtAddress}
 * and {@link java.net.InetAddress}. The name resolution mechanisms
 * used will systematically query all available configured resolution
 * services including WINS, broadcasts, DNS, and LMHOSTS. See
 * <a href="../../resolver.html">Setting Name Resolution Properties</a>
 * and the <code>jcifs.resolveOrder</code> property. Changing

        assertEquals(1, response.getNum());
        assertEquals("全文 検索", response.getWords().get(0));

        response = suggester.suggest().addKind("query").execute().getResponse();
        assertEquals(1, response.getNum());

        SuggestResponse response2 = suggester.suggest().setSuggestDetail(true).execute().getResponse();
        assertEquals(2, response2.getNum());

import org.opensearch.action.bulk.BulkItemResponse.Failure;
import org.opensearch.action.bulk.BulkResponse;
import org.opensearch.action.search.SearchResponse;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;

public class IndexingHelper {
    private static final Logger logger = LogManager.getLogger(IndexingHelper.class);

    protected int maxRetryCount = 5;

    val encodedPathSegments: List<String> = httpUrl.encodedPathSegments()
    val pathSegments: List<String> = httpUrl.pathSegments()
    val encodedQuery: String? = httpUrl.encodedQuery()
    val query: String? = httpUrl.query()
    val querySize: Int = httpUrl.querySize()
    val queryParameter: String? = httpUrl.queryParameter("")
    val queryParameterNames: Set<String> = httpUrl.queryParameterNames()

			t.Errorf("no error should returns when query %v, but got %v", user.ID, err)
		}
	}

	for _, user := range []User{users[0], users[2]} {
		result = User{}
		if err := DB.Where("id = ?", user.ID).First(&result).Error; err != nil {
			t.Errorf("no error should returns when query %v, but got %v", user.ID, err)
		}
	}

	if err := DB.Delete(&users[0]).Error; err != nil {

            }
            return new SuggestItem(wordsList.toArray(new String[wordsList.size()]), readingList.toArray(new String[readingList.size()][]),
                    fields, 0, score, -1, tags, roles, langs, SuggestItem.Kind.QUERY);
        } catch (final IOException e) {
            throw new SuggesterException("Failed to SuggestItem from search words.", e);
        }
    }

    @Override

</p>
<p align="center">
    Готовий до продакшину, високопродуктивний, простий у вивченні та швидкий для написання коду фреймворк
</p>
<p align="center">
<a href="https://github.com/fastapi/fastapi/actions?query=workflow%3ATest+event%3Apush+branch%3Amaster" target="_blank">
    <img src="https://github.com/fastapi/fastapi/workflows/Test/badge.svg?event=push&branch=master" alt="Test">
</a>