* Correctness at startup; with the sequencing above, items are only processed once all informers are synced. This means queries will not return stale data at startup.
* Deduping of identical events
* Automatic retrying of failed events (configurable)

The above logic is critical to handle correctly to ensure correctness of a controller.

	-e SERVER_ENDPOINT="nginx:9000" \
	-e ACCESS_KEY="${ACCESS_KEY}" \
	-e SECRET_KEY="${SECRET_KEY}" \
	-e ENABLE_HTTPS=0 \
	-e MINT_MODE="${MINT_MODE}" \
	docker.io/minio/mint:edge

# FIXME: enable this after fixing aws-sdk-java-v2 tests
# # unpause the node, to check that all S3 calls work while one node goes wrong
# [ "${MODE}" == "resiliency" ] && docker-compose -f minio-${MODE}.yaml unpause minio4

import java.time.LocalDateTime;
import java.util.HashMap;
import java.util.Map;

import org.codelibs.fess.es.log.allcommon.EsAbstractEntity;
import org.codelibs.fess.es.log.bsentity.dbmeta.SearchLogDbm;

/**
 * ${table.comment}
 * @author ESFlute (using FreeGen)
 */
public class BsSearchLog extends EsAbstractEntity {

    // ===================================================================================

 * prevention and <i>no</i> expectation of bit dispersion. This leaves them perfectly suitable for
 * use in hash tables, because extra collisions cause only a slight performance hit, while poor bit
 * dispersion is easily corrected using a secondary hash function (which all reasonable hash table
 * implementations in Java use). For the many uses of hash functions beyond data structures,

 * prevention and <i>no</i> expectation of bit dispersion. This leaves them perfectly suitable for
 * use in hash tables, because extra collisions cause only a slight performance hit, while poor bit
 * dispersion is easily corrected using a secondary hash function (which all reasonable hash table
 * implementations in Java use). For the many uses of hash functions beyond data structures,

			if err != nil {
				internalLogIf(ctx, err, logger.WarningKind)
				break
			}

			// Handle if we have some buckets in-memory those are stale.
			// first delete them and then replace the newer state()
			// from disk.
			diskBuckets := set.CreateStringSet()
			for _, bucket := range buckets {
				diskBuckets.Add(bucket.Name)
			}
			sys.RemoveStaleBuckets(diskBuckets)

				sys.hMutex.Unlock()
			}
			hcTimer.Reset(defaultHealthCheckDuration)
		case <-ctx.Done():
			return
		}
	}
}

// periodically rebuild the healthCheck map from list of targets to clear
// out stale endpoints
func (sys *BucketTargetSys) reloadHealthCheckers(ctx context.Context) {
	m := make(map[string]epHealth)
	tgts := sys.ListTargets(ctx, "", "")
	sys.hMutex.Lock()
	for _, t := range tgts {

	addEntry(context.Context, string, event.Event) error
}

// ElasticsearchArgs - Elasticsearch target arguments.
type ElasticsearchArgs struct {
	Enable     bool            `json:"enable"`
	Format     string          `json:"format"`
	URL        xnet.URL        `json:"url"`
	Index      string          `json:"index"`
	QueueDir   string          `json:"queueDir"`

        }.isEmpty
    }

    options {
        this as StandardJavadocDocletOptions

        encoding = "utf-8"
        docEncoding = "utf-8"
        charSet = "utf-8"

        // Enable all javadoc warnings, except for:
        // - missing: Classes and methods are not required to have javadoc
        // - reference: We allow references to classes that are not part of the compilation

      else -> println(message)
    }
  }

  fun enableJsseDebugLogging(debugHandler: (JsseDebugMessage) -> Unit = this::quietDebug): Closeable {
    System.setProperty("javax.net.debug", "")
    return OkHttpDebugLogging.enable(
      "javax.net.ssl",
      object : Handler() {
        override fun publish(record: LogRecord) {
          val param = record.parameters?.firstOrNull() as? String