import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;
import org.opensearch.index.query.TermQueryBuilder;
import org.opensearch.index.query.TermsQueryBuilder;
import org.opensearch.index.query.WildcardQueryBuilder;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;

	}

	var resPointer *result
	if err := DB.Table("users").Select("id, name, age").Where("id = ?", user3.ID).Scan(&resPointer).Error; err != nil {
		t.Fatalf("Failed to query with pointer of value, got error %v", err)
	} else if resPointer.ID != user3.ID || resPointer.Name != user3.Name || resPointer.Age != int(user3.Age) {
		t.Fatalf("Scan into struct should work, got %#v, should %#v", res, user3)
	}

		t.Errorf("failed to query users count, got error: %v, count: %v", err, count)
	}

	if err := DB.Model(&User{}).Distinct("name").Where("name like ?", "distinct%").Count(&count).Error; err != nil || count != 3 {
		t.Errorf("failed to query users count, got error: %v, count %v", err, count)
	}

	dryDB := DB.Session(&gorm.Session{DryRun: true})

import java.util.ArrayList;
import java.util.Collection;
import java.util.Collections;
import java.util.List;

import org.dbflute.exception.InvalidQueryRegisteredException;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.search.aggregations.AbstractAggregationBuilder;
import org.opensearch.search.aggregations.AggregationBuilders;
import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;

Dort können Sie einstellen:

* Die „Item ID“, die im Pfad verwendet wird.
* Das „Token“, das als Query-Parameter verwendet wird.

/// tip | Tipp

Beachten Sie, dass die Query `token` von einer Abhängigkeit verarbeitet wird.

///

Damit können Sie den WebSocket verbinden und dann Nachrichten senden und empfangen:

type ConnPool interface {
	PrepareContext(ctx context.Context, query string) (*sql.Stmt, error)
}

// New creates a new Stmt object for executing SQL queries.
// It caches the Stmt object for future use and handles preparation and error states.
// Parameters:
//
//	ctx: Context for the request, used to carry deadlines, cancellation signals, etc.
//	key: The key representing the SQL query, used for caching and preparing the statement.

import org.codelibs.fess.suggest.util.SuggestUtil;
import org.opensearch.action.search.SearchRequestBuilder;
import org.opensearch.action.search.SearchResponse;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.search.SearchHit;
import org.opensearch.search.sort.SortBuilder;
import org.opensearch.transport.client.Client;

/**
 * <p>

        if (StringUtil.isNotBlank(myName)) {
            ComponentUtil.getComponent(JobLogBhv.class).queryDelete(cb -> {
                cb.query().setJobStatus_Equal(Constants.RUNNING);
                cb.query().setTarget_Equal(myName);
            });
        }

        TimeoutManager.getInstance().addTimeoutTarget(() -> {
            if (logger.isDebugEnabled()) {

            String[][] readings = new String[1][];
            readings[0] = new String[] { "query" + i };
            items[i] = new SuggestItem(new String[] { "クエリ" + i }, readings, new String[] { "content" }, 0, 15 + i, -1,
                    new String[] { "tag1" }, new String[] { SuggestConstants.DEFAULT_ROLE }, null, SuggestItem.Kind.QUERY);
        }
        suggester.indexer().index(items);
        suggester.refresh();
    }

    // ===================================================================================
    //                                                                               Query
    //                                                                               =====
    public BsUserCQ query() {
        assertQueryPurpose();
        return doGetConditionQuery();
    }

    protected BsUserCQ doGetConditionQuery() {