// Second call - should use cache
        long start2 = System.nanoTime();
        helper.setProperty(bean2, "name", String.class, config);
        long time2 = System.nanoTime() - start2;

        assertEquals("testValue", bean1.getName());
        assertEquals("testValue", bean2.getName());

        // Second call should be faster (though this is not guaranteed in all environments)

	ended        time.Time  `msg:"end"`
	started      time.Time  `msg:"st"`
	lastHandout  time.Time  `msg:"lh"`
	lastUpdate   time.Time  `msg:"u"`
	bucket       string     `msg:"b"`
	filter       string     `msg:"flt"`
	id           string     `msg:"id"`
	error        string     `msg:"err"`
	root         string     `msg:"root"`
	fileNotFound bool       `msg:"fnf"`
	status       scanStatus `msg:"stat"`

├── Dockerfile
└── requirements.txt
```

#### Hinter einem TLS-Terminierungsproxy { #behind-a-tls-termination-proxy }

Wenn Sie Ihren Container hinter einem TLS-Terminierungsproxy (Load Balancer) wie Nginx oder Traefik ausführen, fügen Sie die Option `--proxy-headers` hinzu. Das sagt Uvicorn (durch das FastAPI CLI), den von diesem Proxy gesendeten Headern zu vertrauen und dass die Anwendung hinter HTTPS ausgeführt wird, usw.

```Dockerfile

import org.codelibs.fess.opensearch.config.cbean.cq.RelatedContentCQ;
import org.codelibs.fess.opensearch.config.cbean.cq.bs.BsRelatedContentCQ;
import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;

import org.codelibs.fess.opensearch.config.cbean.cq.CrawlingInfoParamCQ;
import org.codelibs.fess.opensearch.config.cbean.cq.bs.BsCrawlingInfoParamCQ;
import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;

{% endfor -%}

### Gold- und Silber-Sponsoren { #gold-and-silver-sponsors }

{% for sponsor in sponsors.gold -%}
<a href="{{ sponsor.url }}" target="_blank" title="{{ sponsor.title }}"><img src="{{ sponsor.img }}" style="border-radius:15px"></a>
{% endfor -%}
{%- for sponsor in sponsors.silver -%}

import org.codelibs.fess.opensearch.config.cbean.cq.ThumbnailQueueCQ;
import org.codelibs.fess.opensearch.config.cbean.cq.bs.BsThumbnailQueueCQ;
import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;

URLs that share the same address may also share the same underlying TCP socket connection. Sharing a connection has substantial performance benefits: lower latency, higher throughput (due to [TCP slow start](https://www.igvita.com/2011/10/20/faster-web-vs-tcp-slow-start/)) and conserved battery. OkHttp uses a [ConnectionPool](https://square.github.io/okhttp/4.x/okhttp/okhttp3/-connection-pool/) that automatically reuses HTTP/1.x connections and multiplexes HTTP/2 connections.

    // weirdness.
    public MavenProject getTopLevelProject() {
        return sortedProjects.stream()
                .filter(MavenProject::isExecutionRoot)
                .findFirst()
                .orElse(null);
    }

    public List<MavenProject> getSortedProjects() {
        return sortedProjects;
    }

        bool((must, should, mustNot, filter) -> {
            filteredLambda.callback(must, filter);
        }, opLambda);
    }

    public void not(OperatorCall<RelatedQueryCQ> notLambda) {
        not(notLambda, null);
    }

    public void not(final OperatorCall<RelatedQueryCQ> notLambda, final ConditionOptionCall<BoolQueryBuilder> opLambda) {
        bool((must, should, mustNot, filter) -> notLambda.callback(mustNot), opLambda);