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>

     * so that it may be included in the list of results. IOW we do
     * not want to create a new NbtAddress object for this particular
     * address from which the query is constructed, we want to populate
     * the data of the existing address that should be one of several
     * returned by the node status.
     */

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

    protected BsUserCQ doGetConditionQuery() {

    assertThat(effectivePort, "port").isEqualTo(testData.port)
    assertThat(url.encodedPath, "path").isEqualTo(testData.path)
    assertThat(effectiveQuery, "query").isEqualTo(testData.query)
    assertThat(effectiveFragment, "fragment").isEqualTo(testData.fragment)
  }

  companion object {
    private val HTTP_URL_SCHEMES = listOf("http", "https")
    private val KNOWN_FAILURES =

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;

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;

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;

        }

        return userInfoBhv.selectByPK(userCode).map(userInfo -> {
            final ListResultBean<FavoriteLog> list = favoriteLogBhv.selectList(cb2 -> {
                cb2.query().setUserInfoId_Equal(userInfo.getId());
                cb2.query().setUrl_InScope(urlList);
                cb2.fetchFirst(fessConfig.getPageFavoriteLogMaxFetchSizeAsInteger());
            });
            if (!list.isEmpty()) {

 * <li>{@link #TEXT} - The text content field.</li>
 * <li>{@link #READING_PREFIX} - The prefix for reading fields.</li>
 * <li>{@link #SCORE} - The score field.</li>
 * <li>{@link #QUERY_FREQ} - The query frequency field.</li>
 * <li>{@link #DOC_FREQ} - The document frequency field.</li>
 * <li>{@link #USER_BOOST} - The user boost field.</li>
 * <li>{@link #KINDS} - The kinds field.</li>

    #     Add schema to table SQL name. (The table name on query is SCHEMA.TABLE)
    #
    #; isAvailableAddingSchemaToTableSqlName = false
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o isAvailableAddingCatalogToTableSqlName: (NotRequired - Default false)
    #   [true]
    #     Add catalog to table SQL name. (The table name on query is CATALOG.SCHEMA.TABLE)
    #