--- Web/FileSystem Indexer ---
Exec Time:  /*pmb.webFsIndexExecTime:orElse('-')*/ ms
Num of Doc: /*pmb.webFsIndexSize:orElse('-')*/ docs

--- Data Store Crawler ---
Start Time: /*pmb.dataCrawlStartTime:orElse('-')*/
End Time:   /*pmb.dataCrawlEndTime:orElse('-')*/
Exec Time:  /*pmb.dataCrawlExecTime:orElse('-')*/ ms

--- Data Store Indexer ---
Exec Time:  /*pmb.dataIndexExecTime:orElse('-')*/ ms

	</component>
	<component name="indexUpdater" class="org.codelibs.fess.indexer.IndexUpdater"
		instance="prototype">
		<!--
		<property name="maxDocumentCacheSize">5</property>
		<property name="unprocessedDocumentSize">100</property>
		<property name="threadDump">false</property>
		<postConstruct name="addBoostDocumentRule">
			<arg>
				<component class="org.codelibs.fess.indexer.BoostDocumentRule">

{"name":"Suggest Indexer","target":"all","cronExpression":"0 12 * * *","scriptType":"groovy","scriptData":"return container.getComponent(\"suggestJob\").logLevel(\"info\").sessionId(\"SUGGEST\").execute(executor);","jobLogging":true,"crawler":false,"available":true,"sortOrder":2,"createdBy":"system","createdTime":0,"updatedBy":"system","updatedTime":0}
{"index":{"_index":"fess_config.scheduled_job","_id":"log_aggregator"}}

        assertNotNull(suggester.indexer());
        assertNotNull(suggester.getNormalizer());
        assertNotNull(suggester.getReadingConverter());
        assertNotNull(suggester.settings());
        assertTrue(!Strings.isNullOrEmpty(suggester.index));
    }

    public void test_buildWithParameters() throws Exception {
        final String settingsIndexName = "test-settings-index";

 * 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.HashMap;
import java.util.Map;

import org.codelibs.fess.Constants;
import org.codelibs.fess.exception.JobProcessingException;
import org.codelibs.fess.script.AbstractScriptEngine;

            return 0.0f;
        }

        final Object value = ComponentUtil.getScriptEngineFactory().getScriptEngine(scriptType).evaluate(boostExpression, map);
        if (value instanceof Integer) {
            return ((Integer) value).floatValue();
        }
        if (value instanceof Long) {
            return ((Long) value).floatValue();
        }
        if (value instanceof Float) {
            return (Float) value;

        assertThat(it.hasNext(), is(true));

        final Indexed<String> indexed1 = it.next();
        assertThat(indexed1.getIndex(), is(0));
        assertThat(indexed1.getElement(), is("aaa"));

        final Indexed<String> indexed2 = it.next();
        assertThat(indexed2.getIndex(), is(1));
        assertThat(indexed2.getElement(), is("bbb"));

        final Indexed<String> indexed3 = it.next();
        assertThat(indexed3.getIndex(), is(2));

    * Diese automatische Erkennung ist es, die in der OpenID Connect Spezifikation definiert ist.


/// tip | Tipp

Auch die Integration anderer Authentifizierungs-/Autorisierungsanbieter wie Google, Facebook, X (Twitter), GitHub, usw. ist möglich und relativ einfach.

)

// a bucketMetacache keeps track of all caches generated
// for a bucket.
type bucketMetacache struct {
	// Name of bucket
	bucket string

	// caches indexed by id.
	caches map[string]metacache
	// cache ids indexed by root paths
	cachesRoot map[string][]string `msg:"-"`

	// Internal state
	mu      sync.RWMutex `msg:"-"`
	updated bool         `msg:"-"`
}

type deleteAllStorager interface {

    ImmutableSet<Integer> indexes = ImmutableSet.of(50, 90, 99);
    Map<Integer, Double> referenceQuantiles =
        REFERENCE_ALGORITHM.multipleQuantiles(indexes, 100, dataset.clone());
    assertThat(referenceQuantiles.keySet()).isEqualTo(indexes);
    for (QuantilesAlgorithm algorithm : NON_REFERENCE_ALGORITHMS) {
      Map<Integer, Double> quantiles = algorithm.multipleQuantiles(indexes, 100, dataset.clone());