} else {
			mapValue[column] = nil
		}
	}
}

func (db *DB) scanIntoStruct(rows Rows, reflectValue reflect.Value, values []interface{}, fields []*schema.Field, joinFields [][]*schema.Field) {
	for idx, field := range fields {
		if field != nil {
			values[idx] = field.NewValuePool.Get()
		} else if len(fields) == 1 {
			if reflectValue.CanAddr() {
				values[idx] = reflectValue.Addr().Interface()
			} else {

                Field[] fields = FIELDS_BY_CLASS.computeIfAbsent(cls, k -> cls.getDeclaredFields());

                for (Field field : fields) {
                    Class<?> type = field.getType();
                    if (isQualifiedForInterpolation(field, type)) {
                        boolean isAccessible = field.isAccessible();
                        field.setAccessible(true);
                        try {

          <type>String</type>
          <required>true</required>
        </field>
        <field>
          <version>1.0.0</version>
          <name>configuration</name>
          <description>The place and syntax used to change the value of this expression.</description>
          <type>String</type>
        </field>
        <field>
          <version>1.0.0</version>
          <name>cliOptions</name>

        String text = "";
        String field = "content";
        String lang = "en";

        List<AnalyzeToken> tokens = analyzer.analyze(text, field, lang);

        assertNotNull(tokens);
        assertTrue(tokens.isEmpty());
    }

    @Test
    public void testAnalyzeWithNullText() {
        // Test analyze with null text
        String text = null;
        String field = "content";
        String lang = "en";

	for _, field := range schema.Fields {
		if field.DataType != "" && field.HasDefaultValue && field.DefaultValueInterface == nil {
			schema.FieldsWithDefaultDBValue = append(schema.FieldsWithDefaultDBValue, field)
		}

		if !embedded {
			if field.DataType == "" && field.GORMDataType == "" && (field.Creatable || field.Updatable || field.Readable) {
				relationshipFields = append(relationshipFields, field)

        return analyzerSettingsIndexName;
    }

    /**
     * Returns the name of the reading analyzer for a given field and language.
     * @param field The field name.
     * @param lang The language.
     * @return The reading analyzer name.
     */
    public String getReadingAnalyzerName(final String field, final String lang) {

        String text = "test";
        String field = "content";

        List<String> readings = converter.convert(text, field);

        assertNotNull(readings);
        assertEquals(1, readings.size());
        assertEquals("TEST", readings.get(0));
    }

    @Test
    public void testConvertWithNullField() throws IOException {
        // Test convert with null field
        converter.init();

                is_scalar_field(field)
                or is_scalar_sequence_field(field)
                or (
                    lenient_issubclass(field.type_, BaseModel)
                    # For Pydantic v1
                    and getattr(field, "shape", 1) == 1
                )
            )

    return ParamDetails(type_annotation=type_annotation, depends=depends, field=field)

# Field name for document ID in the index.
index.field.doc_id=doc_id
# Field name for internal ID in the index.
index.field.id=_id
# Field name for version in the index.
index.field.version=_version
# Field name for sequence number in the index.
index.field.seq_no=_seq_no
# Field name for primary term in the index.
index.field.primary_term=_primary_term
# Field name for language in the index.
index.field.lang=lang

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