String[][] readings1 = new String[1][];
        readings1[0] = new String[] { "doc" };
        items[0] = new SuggestItem(new String[] { "ドキュメント" }, readings1, new String[] { "content" }, 1, 0, -1, new String[] { "tag1" },
                new String[] { SuggestConstants.DEFAULT_ROLE }, null, SuggestItem.Kind.DOCUMENT);

        String[][] readings2 = new String[1][];

        String[][] readings1 = new String[1][];
        readings1[0] = new String[] { "test1" };
        String[][] readings2 = new String[1][];
        readings2[0] = new String[] { "test2" };
        String[][] readings3 = new String[1][];
        readings3[0] = new String[] { "test3" };

        SuggestItem item1 = new SuggestItem(new String[] { "テスト1" }, readings1, new String[] { "content" }, 1, 0, -1,

        // Multiple spaces should be collapsed to single space
        assertTrue("Should query reading_0", queryString.contains("reading_0"));
        assertTrue("Should query reading_1", queryString.contains("reading_1"));
        // Should NOT have reading_2 (spaces collapsed)
        assertFalse("Should not have reading_2", queryString.contains("reading_2"));
    }

    @Test
    public void test_buildQuery_withNormalizer() {

        // Good item
        String[][] readings1 = new String[1][];
        readings1[0] = new String[] { "good" };
        items[0] = new SuggestItem(new String[] { "good" }, readings1, new String[] { "content" }, 1, 0, -1, new String[] { "tag1" },
                new String[] { SuggestConstants.DEFAULT_ROLE }, null, SuggestItem.Kind.DOCUMENT);

        // Bad item
        String[][] readings2 = new String[1][];

                if (readings != null && readings.length > i && readings[i].length > 0) {
                    for (final String reading : readings[i]) {
                        if (!l.contains(reading)) {
                            l.add(reading);
                        }
                    }
                }

                wordsList.add(word);

        suggester.createNextIndex();

        // Index different data in new index (via update alias)
        String[][] readings2 = new String[1][];
        readings2[0] = new String[] { "next" };
        SuggestItem item2 = new SuggestItem(new String[] { "次" }, readings2, new String[] { "content" }, 1, 0, -1, new String[] { "tag1" },
                new String[] { SuggestConstants.DEFAULT_ROLE }, null, SuggestItem.Kind.DOCUMENT);

        String[] words = new String[] { "word1", "word2", "word3" };
        // Only provide readings for first word
        String[][] readings = new String[][] { new String[] { "reading1" } };
        String[] fields = new String[] { "content" };

        SuggestItem item =
                parser.parseSearchWords(words, readings, fields, null, null, 1, defaultReadingConverter, defaultNormalizer, analyzer, null);

### SuggestItem (Domain Entity)
Location: `src/main/java/org/codelibs/fess/suggest/entity/SuggestItem.java`

Core attributes: `text`, `timestamp`, `queryFreq`, `docFreq`, `userBoost`, `readings`, `tags`, `roles`, `languages`, `kinds`

Kind types: `DOCUMENT`, `QUERY`, `USER`

---

## Development Workflow

### Build Commands

```bash

  }

  /**
   * Opens a new {@link Stream} for reading text one line at a time from this source. This method
   * returns a new, independent stream each time it is called.
   *
   * <p>The returned stream is lazy and only reads from the source in the terminal operation. If an
   * I/O error occurs while the stream is reading from the source or when the stream is closed, an
   * {@link UncheckedIOException} is thrown.

 * <li>{@link #badWords} - List of bad words.</li>
 * <li>{@link #parallel} - Flag for parallel processing.</li>
 * <li>{@link #readingConverter} - Reading converter.</li>
 * <li>{@link #contentsReadingConverter} - Contents reading converter.</li>
 * <li>{@link #normalizer} - Normalizer.</li>
 * <li>{@link #analyzer} - Suggest analyzer.</li>
 * <li>{@link #contentsParser} - Contents parser.</li>