// Note: Duplicate Columns
				{Field: &schema.Field{Name: "FieldD"}},
			},
		},
		{
			Name:  "uniq_field_e1_e2",
			Class: "UNIQUE",
			Fields: []schema.IndexOption{
				{Field: &schema.Field{Name: "FieldE1"}},
				{Field: &schema.Field{Name: "FieldE2"}},
			},
		},
		{
			Name:  "uniq_field_f1_f2",
			Class: "UNIQUE",
			Fields: []schema.IndexOption{

        String[] fields = { "field1", "field2", "field1", "field3", "field2" };
        queryFieldConfig.setNotAnalyzedFields(fields);

        // Set should contain unique values only
        assertEquals(3, queryFieldConfig.notAnalyzedFieldSet.size());
        assertTrue(queryFieldConfig.notAnalyzedFieldSet.contains("field1"));

        String[] initialFields = { "field1", "field2" };
        queryFieldConfig.setSearchFields(initialFields);
        assertTrue(queryFieldConfig.searchFieldSet.contains("field1"));
        assertTrue(queryFieldConfig.searchFieldSet.contains("field2"));
        assertEquals(2, queryFieldConfig.searchFieldSet.size());

        // Update fields
        String[] updatedFields = { "field3", "field4", "field5" };

        Map<String, Object> source;
        while ((source = reader.read()) != null) {
            assertTrue(source.get("field1").toString().startsWith("test"));
            valueSet.add(source.get("field1").toString());
            count++;
        }
        assertEquals(num, count);
        assertEquals(num, valueSet.size());
    }

    @Test

        assertTrue(result.contains("field1"));
        assertTrue(result.contains("exclude1"));
    }

    @Test
    public void test_getCacheKey_sorting() {
        String seed = "test_seed";
        String[] tags = { "zzz", "aaa", "mmm" };
        String[] roles = { "role3", "role1", "role2" };
        String[] fields = { "field3", "field1", "field2" };

        facetInfo.size = 20;
        facetInfo.sort = "term.asc";

        String result = facetInfo.toString();
        assertEquals("FacetInfo [field=[field1], query=null, size=20, minDocCount=null, sort=term.asc, missing=null]", result);
    }

    // Test field assignment
    @Test
    public void test_fieldAssignment() {
        String[] fields = new String[] { "field1", "field2", "field3" };

        emptyGenerator = new EmptyGenerator();

        // Test adding conditions - this should work without container
        emptyGenerator.addCondition("field1", "pattern1");
        emptyGenerator.addCondition("field1", "pattern2");
        emptyGenerator.addCondition("field2", "pattern.*");

        // We can't test isTarget properly without container,
        // but we can verify conditions are added

# Body - Поля { #body-fields }

Таким же способом, как вы объявляете дополнительную валидацию и метаданные в параметрах *функции обработки пути* с помощью функций `Query`, `Path` и `Body`, вы можете объявлять валидацию и метаданные внутри Pydantic моделей, используя функцию `Field` из Pydantic.

## Импорт `Field` { #import-field }

Сначала вы должны импортировать его:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}

/// warning | Внимание

# Body - Fields { #body-fields }

The same way you can declare additional validation and metadata in *path operation function* parameters with `Query`, `Path` and `Body`, you can declare validation and metadata inside of Pydantic models using Pydantic's `Field`.

## Import `Field` { #import-field }

First, you have to import it:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}


/// warning

        existingList.add("existing");
        fieldLogMap.put("field", existingList);
        getMockRequest().setAttribute(Constants.FIELD_LOGS, fieldLogMap);

        queryContext = new QueryContext("test", true);
        queryContext.addFieldLog("field", "new");

        List<String> list = fieldLogMap.get("field");
        assertEquals(2, list.size());
        assertEquals("existing", list.get(0));