}

// TargetStat is the stats of a single target.
type TargetStat struct {
	ID             TargetID
	ActiveRequests int64
	TotalRequests  int64
	FailedRequests int64
}

// TargetList - holds list of targets indexed by target ID.
type TargetList struct {
	sync.RWMutex
	targets map[TargetID]Target
}

// Add - adds unique target to target list.
func (list *TargetList) Add(targets ...Target) error {
	list.Lock()

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.indexer;

import java.util.Map;

import org.apache.logging.log4j.LogManager;
import org.apache.logging.log4j.Logger;
import org.codelibs.fess.Constants;
import org.codelibs.fess.opensearch.config.exentity.BoostDocumentRule;

{"id":2,"title":"Second Record","desc":"another text","numbers":[2,3,4]}`,
		},
		{
			name:       "indexed-list-match",
			query:      `SELECT * from s3object s WHERE (7,8.5,9) IN s.nested[1]`,
			wantResult: ``,
		},
		{
			name:       "indexed-list-match-equals",
			query:      `SELECT * from s3object s WHERE (7,8.5,9) = s.nested[1]`,

          return getEntry(index);
        }
      };
    }

    @Override
    @GwtIncompatible // Spliterator
    Spliterator<Entry<K, V>> entrySpliterator() {
      return CollectSpliterators.indexed(
          size(), Spliterator.ORDERED | Spliterator.DISTINCT | Spliterator.NONNULL, this::getEntry);
    }

    // TODO(lowasser): consider an optimized values() implementation

    @Override

     * phase they want to execute, and we can easily determine what lifecycle we need to run.
     *
     * @return A map of lifecycles, indexed on id
     */
    public Map<String, Lifecycle> getPhaseToLifecycleMap() {
        if (logger.isDebugEnabled() && !lifecyclesPrinted) {
            for (Lifecycle lifecycle : getLifeCycles()) {

## Pre-Migration Planning

### 1. Assessment Phase

Before starting migration, assess your current system:

- **Document Count**: Total number of indexed documents
- **Index Size**: Storage requirements for search indices
- **Crawl Sources**: URLs, file shares, databases being indexed
- **Custom Configurations**: URL patterns, security rules, metadata fields
- **Search Features**: Facets, suggestions, security filtering, ranking rules

        ((TestDataService) dataService).setAccessResultList(new TestOpenSearchResultList());

        // Start indexer in separate thread
        indexUpdater.start();

        // Let it run briefly
        ThreadUtil.sleep(100);

        // Stop the indexer
        indexUpdater.setFinishCrawling(true);

        // Wait for completion with longer timeout
        indexUpdater.join(3000);

			this._values = [ // JS values that Go currently has references to, indexed by reference id
				NaN,
				0,
				null,
				true,
				false,
				globalThis,
				this,
			];
			this._goRefCounts = new Array(this._values.length).fill(Infinity); // number of references that Go has to a JS value, indexed by reference id
			this._ids = new Map([ // mapping from JS values to reference ids
				[0, 1],

Und es wird entsprechend annotiert/dokumentiert.

## Verschachtelte Modelle { #nested-models }

Jedes Attribut eines Pydantic-Modells hat einen Typ.

Aber dieser Typ kann selbst ein anderes Pydantic-Modell sein.

Sie können also tief verschachtelte JSON-„Objekte“ deklarieren, mit spezifischen Attributnamen, -typen, und -validierungen.

Alles das beliebig tief verschachtelt.

	// map of heal path to heal sequence
	healSeqMap map[string]*healSequence // Indexed by endpoint
	// keep track of the healing status of disks in the memory
	//   false: the disk needs to be healed but no healing routine is started
	//    true: the disk is currently healing
	healLocalDisks map[Endpoint]bool
	healStatus     map[string]healingTracker // Indexed by disk ID
}

// newHealState - initialize global heal state management