1. Go to kibana home [http://localhost:5601/](http://localhost:5601/).
1. Click **Management**.
1. Click **Index Patterns**.
1. Click **Create index pattern** button
1. Input "fess\_log\*" to the textbox of **index pattern**.
1. Click **Next step**.
1. Set "requestedAt" to the **Time Filter field name**.
1. Click **Create index pattern**.
1. Click **Saved Objects**.
1. Click **Import** and select "fess\_log.ndjson" to import example settings.

	}
	if unMarshalXLMeta.Erasure.Index != jsoniterXLMeta.Erasure.Index {
		t.Errorf("Expected the erasure index to be %v, but got %v.", unMarshalXLMeta.Erasure.Index, jsoniterXLMeta.Erasure.Index)
	}
	if len(unMarshalXLMeta.Erasure.Distribution) != len(jsoniterXLMeta.Erasure.Distribution) {

/**
 * Form class for creating protected words dictionary entries.
 * Protected words are terms that should not be modified or analyzed during
 * text processing, preserving their original form in search indexes.
 *
 */
public class CreateForm {

    /**
     * Creates a new CreateForm instance.
     */
    public CreateForm() {
        // Default constructor
    }

    /** Dictionary identifier */

import org.apache.lucene.analysis.TokenStream;
import org.codelibs.analysis.ja.CharTypeFilter;
import org.opensearch.common.settings.Settings;
import org.opensearch.env.Environment;
import org.opensearch.index.IndexSettings;
import org.opensearch.index.analysis.AbstractTokenFilterFactory;

public class CharTypeFilterFactory extends AbstractTokenFilterFactory {

    private final boolean alphabetic;

    private final boolean digit;

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 new Iterator<>() {
                        int index = 0;

                        @Override
                        public boolean hasNext() {
                            return index == 0;
                        }

                        @Override
                        public Entry<K, V> next() {
                            if (index++ == 0) {
                                return entry;

        stage: Stage,
        flameGraphSpec: FlameGraphGeneration,
    ): PerformanceTestsPass {
        val flameGraphBuilds =
            flameGraphSpec.buildSpecs.mapIndexed { index, buildSpec ->
                createFlameGraphBuild(model, stage, buildSpec, index)
            }
        val performanceTestProject = ManuallySplitPerformanceTestProject(model, flameGraphSpec, flameGraphBuilds)
        subProject(performanceTestProject)

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.codelibs.fess.unit.UnitFessTestCase;
import org.codelibs.fess.util.ComponentUtil;
import org.dbflute.util.DfTypeUtil;
import org.opensearch.index.query.BoolQueryBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.index.query.TermQueryBuilder;

public class BooleanQueryCommandTest extends QueryTestBase {

    private BooleanQueryCommand booleanQueryCommand;

import org.codelibs.analysis.ja.PatternConcatenationFilter;
import org.opensearch.common.settings.Settings;
import org.opensearch.env.Environment;
import org.opensearch.index.IndexSettings;
import org.opensearch.index.analysis.AbstractTokenFilterFactory;

public class PatternConcatenationFilterFactory extends AbstractTokenFilterFactory {

    private Pattern pattern1;

    private Pattern pattern2;