suggester.indexer().addBadWord(word, apply);
        }
        refresh();
    }

    public void addBadWord(final String badWord, final boolean apply) {
        suggester.indexer().addBadWord(badWord, apply);
        refresh();
    }

    public void deleteBadWord(final String badWord) {
        suggester.indexer().deleteBadWord(badWord);
        refresh();
    }

suggester.indexer().index(new SuggestItem(new String[] { "検索", "エンジン" }, readings, 1, tags, roles, SuggestItem.Kind.DOCUMENT));
```

### Add suggest documents from source of index

```java
DocumentReader reader = new ESSourceReader(
    client,
    suggester.settings(),
    "contentIndexName",
    "contentTypeName");
suggester.indexer().indexFromDocument(reader, 2, 100).getResponse();
```

    client,
    suggester.settings(),
    "contentIndexName",
    "contentTypeName");
suggester.indexer().indexFromDocument(reader, 2, 100).getResponse();
```

### Add suggest document from queryLog

クエリーログ（query_string）を解析してサジェストドキュメントを登録

```java
QueryLog queryLog = new QueryLog("field1:value1", null);
suggester.indexer().indexFromQueryLog(queryLog);
```

### Add suggest document from search words

crawler.document.cache.html.mimetypes=text/html

# indexer
indexer.thread.dump.enabled=true
indexer.unprocessed.document.size=1000
indexer.click.count.enabled=true
indexer.favorite.count.enabled=true
indexer.webfs.commit.margin.time=5000
indexer.webfs.max.empty.list.count=3600
indexer.webfs.update.interval=10000
indexer.webfs.max.document.cache.size=10
indexer.webfs.max.document.request.size=1048576

			}
			if !reflect.DeepEqual(testCase.indexes, gotIndexes) {
				t.Errorf("Expected %v, got %v", testCase.indexes, gotIndexes)
			}
		})
	}
}

// Test tests calculating set indexes.
func TestGetSetIndexes(t *testing.T) {
	testCases := []struct {
		args       []string
		totalSizes []uint64
		indexes    [][]uint64
		success    bool
	}{
		// Invalid inputs.
		{

	</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">

--- 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

import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Simple helper class to build a "sparse" array of objects based on the indexes that were added to
 * it. The array will be from 0 to the maximum index given. All non-set indexes will contain null
 * (so it's not really a sparse array, just a pseudo sparse array). The builder can also return a
 * CharEscaper based on the generated array.
 *

        DocumentReader reader = new ESSourceReader(ComponentsUtil.runner.client(),
            suggester.settings(),
            ComponentsUtil.contentIndexName,
            ComponentsUtil.contentTypeName);
        suggester.indexer().indexFromDocument(reader, 2, 100).getResponse();
        suggester.refresh();
    }

implements the interface.
</p>

<h3 id="Map_types">Map types</h3>

<p>
A map is an unordered group of elements of one type, called the
element type, indexed by a set of unique <i>keys</i> of another type,
called the key type.
The value of an uninitialized map is <code>nil</code>.
</p>

<pre class="ebnf">
MapType     = "map" "[" KeyType "]" ElementType .