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Example 41 with DataSchema

use of com.linkedin.data.schema.DataSchema in project rest.li by linkedin.

the class UnionTemplate method selectCustomType.

/**
   * Set a new value into the union whose type needs to be coerced by {@link DirectCoercer}.
   *
   * @param memberSchema provides the {@link DataSchema} of the new value.
   * @param memberClass provides the expected class of the value.
   * @param dataClass provides the class stored in the underlying {@link DataMap}.
   * @param key provides the key that identifies the type of the value.
   * @param value provides the value to set.
   * @param <T> type of the value.
   * @throws ClassCastException if the input value does not match the
   *                            expected class and the value cannot be coerced to the
   *                            expected class.
   * @throws NullUnionUnsupportedOperationException if the union is a null union.
   */
protected <T> void selectCustomType(DataSchema memberSchema, Class<T> memberClass, Class<?> dataClass, String key, T value) throws ClassCastException, NullUnionUnsupportedOperationException {
    checkNotNull();
    DataSchema memberType = _schema.getType(key);
    // something is wrong with the generated code if this occurs.
    assert (memberType != null);
    Object object = DataTemplateUtil.coerceInput(value, memberClass, dataClass);
    _map.clear();
    _map.put(key, object);
    _customTypeCache = value;
}
Also used : DataSchema(com.linkedin.data.schema.DataSchema) UnionDataSchema(com.linkedin.data.schema.UnionDataSchema)

Example 42 with DataSchema

use of com.linkedin.data.schema.DataSchema in project rest.li by linkedin.

the class AnyRecordValidator method validate.

@Override
public void validate(ValidatorContext context) {
    DataElement dataElement = context.dataElement();
    Object value = dataElement.getValue();
    DataSchema schema = dataElement.getSchema();
    if (schema.getType() != DataSchema.Type.RECORD || (((RecordDataSchema) schema).getFullName()).equals(SCHEMA_NAME) == false) {
        context.addResult(new Message(context.dataElement().path(), "%1$s invoked on schema that is not %2$s", AnyRecordValidator.class.getName(), SCHEMA_NAME));
    } else if (value.getClass() != DataMap.class) {
        context.addResult(new Message(context.dataElement().path(), "%1$s expects data to be a DataMap, data is %2$s", AnyRecordValidator.class.getName(), value));
    } else {
        DataMap dataMap = (DataMap) value;
        if (dataMap.size() != 1) {
            context.addResult(new Message(context.dataElement().path(), "%1$s expects data to be a DataMap with one entry, data is %2$s", AnyRecordValidator.class.getName(), value));
        } else {
            Map.Entry<String, Object> entry = dataMap.entrySet().iterator().next();
            String anySchemaName = entry.getKey();
            Object anyValue = entry.getValue();
            DataSchema anySchema = schemaFromName(context, anySchemaName);
            if (anySchema != null) {
                DataElement anyElement = new SimpleDataElement(anyValue, entry.getKey(), anySchema, dataElement);
                // do we want to have cache for anySchemaName to validator
                // do we care about classMap argument to DataSchemaAnnotationValidator
                DataSchemaAnnotationValidator validator = new DataSchemaAnnotationValidator(anySchema);
                if (validator.isInitOk() == false) {
                    boolean errorIfNotValidated = getParameter(context.validationOptions()).isValidSchema();
                    context.addResult(new Message(context.dataElement().path(), errorIfNotValidated, "%1$s failed to initialize %2$s with %3$s", AnyRecordValidator.class.getName(), DataSchemaAnnotationValidator.class.getSimpleName(), anySchema));
                    addResult(context, errorIfNotValidated, validator.getInitMessages());
                } else {
                    ValidationResult result = ValidateDataAgainstSchema.validate(anyElement, context.validationOptions(), validator);
                    addResult(context, result.getMessages());
                    if (result.hasFix())
                        context.setHasFix(true);
                    if (result.hasFixupReadOnlyError())
                        context.setHasFixupReadOnlyError(true);
                }
            }
        }
    }
}
Also used : RecordDataSchema(com.linkedin.data.schema.RecordDataSchema) DataSchema(com.linkedin.data.schema.DataSchema) NamedDataSchema(com.linkedin.data.schema.NamedDataSchema) SimpleDataElement(com.linkedin.data.element.SimpleDataElement) DataElement(com.linkedin.data.element.DataElement) Message(com.linkedin.data.message.Message) RecordDataSchema(com.linkedin.data.schema.RecordDataSchema) SimpleDataElement(com.linkedin.data.element.SimpleDataElement) ValidationResult(com.linkedin.data.schema.validation.ValidationResult) DataMap(com.linkedin.data.DataMap)

Example 43 with DataSchema

use of com.linkedin.data.schema.DataSchema in project rest.li by linkedin.

the class TestAnyRecordValidator method testValidationResultFlags.

@Test
public void testValidationResultFlags() throws IOException {
    Object[][] inputs = { { ANYRECORDCLIENT_SCHEMA, "{" + "  \"required\" : {\n" + "    \"com.linkedin.data.schema.validator.AnyRecord\" : {\n" + "      \"com.linkedin.Cat\" : { \"c\" : 1 }\n" + "    }\n" + "  }\n" + "}", false, new ValidationOptions(RequiredMode.IGNORE, CoercionMode.NORMAL), ResultFlag.VALID, ResultFlag.HAS_FIX, ResultFlag.NOT_HAS_FIXUP_READONLY_ERROR, new String[] {} }, { ANYRECORDCLIENT_SCHEMA, "{" + "  \"required\" : {\n" + "    \"com.linkedin.data.schema.validator.AnyRecord\" : {\n" + "      \"com.linkedin.Cat\" : { \"c\" : 1 }\n" + "    }\n" + "  }\n" + "}", true, new ValidationOptions(RequiredMode.IGNORE, CoercionMode.NORMAL), ResultFlag.NOT_VALID, ResultFlag.HAS_FIX, ResultFlag.HAS_FIXUP_READONLY_ERROR, new String[] { "ERROR", "/required/com.linkedin.data.schema.validator.AnyRecord/com.linkedin.Cat/c", "cannot be fixed because DataMap backing com.linkedin.Cat type is read-only" } } };
    final boolean debug = false;
    final AnyRecordValidator.Parameter anyRecordValidatorParameter = new AnyRecordValidator.Parameter(true, _resolver);
    for (Object[] row : inputs) {
        int i = 0;
        DataSchema schema = (DataSchema) row[i++];
        DataMap object = TestUtil.dataMapFromString((String) row[i++]);
        boolean makeReadOnly = (Boolean) row[i++];
        ValidationOptions options = (ValidationOptions) row[i++];
        if (makeReadOnly) {
            object.makeReadOnly();
        }
        AnyRecordValidator.setParameter(options, anyRecordValidatorParameter);
        DataSchemaAnnotationValidator validator = new DataSchemaAnnotationValidator(schema);
        if (debug)
            TestUtil.out.println(validator);
        ValidationResult result = ValidateDataAgainstSchema.validate(object, schema, options, validator);
        checkValidationResult(result, row, i, debug);
    }
}
Also used : ValidationOptions(com.linkedin.data.schema.validation.ValidationOptions) ValidationResult(com.linkedin.data.schema.validation.ValidationResult) DataMap(com.linkedin.data.DataMap) DataSchema(com.linkedin.data.schema.DataSchema) RecordDataSchema(com.linkedin.data.schema.RecordDataSchema) NamedDataSchema(com.linkedin.data.schema.NamedDataSchema) Test(org.testng.annotations.Test)

Example 44 with DataSchema

use of com.linkedin.data.schema.DataSchema in project rest.li by linkedin.

the class TestValidator method testValidatorPriority.

@Test
public void testValidatorPriority() throws IOException {
    Map<String, Class<? extends Validator>> validatorClassMap = new HashMap<String, Class<? extends Validator>>();
    validatorClassMap.put("v1", OrderValidator.class);
    validatorClassMap.put("v2", OrderValidator.class);
    validatorClassMap.put("v3", OrderValidator.class);
    validatorClassMap.put("v4", OrderValidator.class);
    validatorClassMap.put("v5", OrderValidator.class);
    validatorClassMap.put("v6", OrderValidator.class);
    Object[][] inputs = { { // positive priority values
    "{\n" + "  \"name\" : \"Foo\",\n" + "  \"type\" : \"record\",\n" + "  \"fields\" : [], \n" + "  \"validate\" : {\n" + "    \"v1\" : { \"validatorPriority\" : 1, \"name\" : \"p1\" },\n" + "    \"v2\" : { \"validatorPriority\" : 2, \"name\" : \"p2\" },\n" + "    \"v3\" : { \"validatorPriority\" : 3, \"name\" : \"p3\" },\n" + "    \"v4\" : { \"validatorPriority\" : 4, \"name\" : \"p4\" },\n" + "    \"v5\" : { \"validatorPriority\" : 5, \"name\" : \"p5\" },\n" + "    \"v6\" : { \"validatorPriority\" : 6, \"name\" : \"p6\" }\n" + "  }\n" + "}\n", "{}", new String[] { ":p6", ":p5", ":p5", ":p4", ":p4", ":p3", ":p3", ":p2", ":p2", ":p1" } }, { // negative priority values
    "{\n" + "  \"name\" : \"Foo\",\n" + "  \"type\" : \"record\",\n" + "  \"fields\" : [], \n" + "  \"validate\" : {\n" + "    \"v1\" : { \"validatorPriority\" : -1, \"name\" : \"p-1\" },\n" + "    \"v2\" : { \"validatorPriority\" : 0, \"name\" : \"p=0\" },\n" + "    \"v3\" : { \"validatorPriority\" : 1, \"name\" : \"p+1\" }\n" + "  }\n" + "}\n", "{}", new String[] { ":p+1", ":p=0", ":p=0", ":p-1" } }, { // default priority value
    "{\n" + "  \"name\" : \"Foo\",\n" + "  \"type\" : \"record\",\n" + "  \"fields\" : [], \n" + "  \"validate\" : {\n" + "    \"v1\" : { \"validatorPriority\" : -1, \"name\" : \"p-1\" },\n" + "    \"v2\" : { \"name\" : \"pdefault\" },\n" + "    \"v3\" : { \"validatorPriority\" : 1, \"name\" : \"p+1\" }\n" + "  }\n" + "}\n", "{}", new String[] { ":p+1", ":pdefault", ":pdefault", ":p-1" } }, { // same priority values
    "{\n" + "  \"name\" : \"Foo\",\n" + "  \"type\" : \"record\",\n" + "  \"fields\" : [], \n" + "  \"validate\" : {\n" + "    \"v1\" : { \"validatorPriority\" : -1, \"name\" : \"p-1a\" },\n" + "    \"v2\" : { \"validatorPriority\" : -1, \"name\" : \"p-1b\" },\n" + "    \"v3\" : { \"validatorPriority\" : 0, \"name\" : \"p0a\" },\n" + "    \"v4\" : { \"validatorPriority\" : 0, \"name\" : \"p0b\" },\n" + "    \"v5\" : { \"validatorPriority\" : 1, \"name\" : \"p+1a\" },\n" + "    \"v6\" : { \"validatorPriority\" : 1, \"name\" : \"p+1b\" }\n" + "  }\n" + "}\n", "{}", new String[] { ":p+1a", ":p0a", ":p+1a", ":p0b", ":p+1b", ":p0a", ":p+1b", ":p0b", ":p0a", ":p-1a", ":p0a", ":p-1b", ":p0b", ":p-1a", ":p0b", ":p-1b" } }, { // typeref inner before outer
    "{\n" + "  \"name\" : \"Foo\",\n" + "  \"type\" : \"record\",\n" + "  \"fields\" : [\n" + "    {\n" + "      \"name\" : \"i\",\n" + "      \"type\" : {\n" + "        \"type\" : \"typeref\",\n" + "        \"name\" : \"Ref1\",\n" + "        \"ref\" : {\n" + "          \"type\" : \"typeref\",\n" + "          \"name\" : \"Ref2\",\n" + "          \"ref\" : \"int\",\n" + "          \"validate\" : {\n" + "            \"v1\" : { \"validatorPriority\" : -1, \"name\" : \"r2-1\" },\n" + "            \"v2\" : { \"name\" : \"r2=0\" },\n" + "            \"v3\" : { \"validatorPriority\" : 1, \"name\" : \"r2+1\" }\n" + "          }\n" + "        },\n" + "        \"validate\" : {\n" + "          \"v1\" : { \"validatorPriority\" : -1, \"name\" : \"r1-1\" },\n" + "          \"v2\" : { \"name\" : \"r1=0\" },\n" + "          \"v3\" : { \"validatorPriority\" : 1, \"name\" : \"r1+1\" }\n" + "        }\n" + "      }\n" + "    }\n" + "  ]\n" + "}\n", "{\n" + "  \"i\" : 4\n" + "}", new String[] { "/i:r2+1", "/i:r2=0", "/i:r2=0", "/i:r2-1", "/i:r2-1", "/i:r1+1", "/i:r1+1", "/i:r1=0", "/i:r1=0", "/i:r1-1" } }, { // array items before array
    "{\n" + "  \"name\" : \"Foo\",\n" + "  \"type\" : \"record\",\n" + "  \"fields\" : [\n" + "    {\n" + "      \"name\" : \"a\",\n" + "      \"type\" : {\n" + "        \"type\" : \"array\",\n" + "        \"items\" : {\n" + "          \"type\" : \"typeref\",\n" + "          \"name\" : \"IntRef\",\n" + "          \"ref\" : \"int\",\n" + "          \"validate\" : {\n" + "            \"v1\" : { \"validatorPriority\" : -1, \"name\" : \"i-1\" },\n" + "            \"v2\" : { \"name\" : \"i=0\" },\n" + "            \"v3\" : { \"validatorPriority\" : 1, \"name\" : \"i+1\" }\n" + "          }\n" + "        },\n" + "        \"validate\" : {\n" + "          \"v1\" : { \"validatorPriority\" : -1, \"name\" : \"a-1\" },\n" + "          \"v2\" : { \"name\" : \"a=0\" },\n" + "          \"v3\" : { \"validatorPriority\" : 1, \"name\" : \"a+1\" }\n" + "        }\n" + "      }\n" + "    }\n" + "  ]\n" + "}\n", "{\n" + "  \"a\" : [ 1 ]\n" + "}", new String[] { "/a/0:i+1", "/a/0:i=0", "/a/0:i=0", "/a/0:i-1", "/a/0:i-1", "/a:a+1", "/a:a+1", "/a:a=0", "/a:a=0", "/a:a-1" } }, { // map values before map
    "{\n" + "  \"name\" : \"Foo\",\n" + "  \"type\" : \"record\",\n" + "  \"fields\" : [\n" + "    {\n" + "      \"name\" : \"m\",\n" + "      \"type\" : {\n" + "        \"type\" : \"map\",\n" + "        \"values\" : {\n" + "          \"type\" : \"typeref\",\n" + "          \"name\" : \"IntRef\",\n" + "          \"ref\" : \"int\",\n" + "          \"validate\" : {\n" + "            \"v1\" : { \"validatorPriority\" : -1, \"name\" : \"v-1\" },\n" + "            \"v2\" : { \"name\" : \"v=0\" },\n" + "            \"v3\" : { \"validatorPriority\" : 1, \"name\" : \"v+1\" }\n" + "          }\n" + "        },\n" + "        \"validate\" : {\n" + "          \"v1\" : { \"validatorPriority\" : -1, \"name\" : \"m-1\" },\n" + "          \"v2\" : { \"name\" : \"m=0\" },\n" + "          \"v3\" : { \"validatorPriority\" : 1, \"name\" : \"m+1\" }\n" + "        }\n" + "      }\n" + "    }\n" + "  ]\n" + "}\n", "{\n" + "  \"m\" : { \"x\" : 1 } }\n" + "}", new String[] { "/m/x:v+1", "/m/x:v=0", "/m/x:v=0", "/m/x:v-1", "/m/x:v-1", "/m:m+1", "/m:m+1", "/m:m=0", "/m:m=0", "/m:m-1" } }, { // union member before typeref of union
    "{\n" + "  \"name\" : \"Foo\",\n" + "  \"type\" : \"record\",\n" + "  \"fields\" : [\n" + "    {\n" + "      \"name\" : \"u\",\n" + "      \"type\" : {\n" + "        \"type\" : \"typeref\",\n" + "        \"name\" : \"Union\",\n" + "        \"ref\" : [\n" + "          {\n" + "            \"type\" : \"typeref\",\n" + "            \"name\" : \"Int\",\n" + "            \"ref\" : \"int\",\n" + "            \"validate\" : {\n" + "              \"v1\" : { \"validatorPriority\" : -1, \"name\" : \"i-1\" },\n" + "              \"v2\" : { \"name\" : \"i=0\" },\n" + "              \"v3\" : { \"validatorPriority\" : 1, \"name\" : \"i+1\" }\n" + "            }\n" + "          },\n" + "          \"string\"\n" + "        ],\n" + "        \"validate\" : {\n" + "          \"v1\" : { \"validatorPriority\" : -1, \"name\" : \"u-1\" },\n" + "          \"v2\" : { \"name\" : \"u=0\" },\n" + "          \"v3\" : { \"validatorPriority\" : 1, \"name\" : \"u+1\" }\n" + "        }\n" + "      }\n" + "    }\n" + "  ]\n" + "}\n", "{\n" + "  \"u\" : { \"int\" : 4 }\n" + "}", new String[] { "/u/int:i+1", "/u/int:i=0", "/u/int:i=0", "/u/int:i-1", "/u/int:i-1", "/u:u+1", "/u:u+1", "/u:u=0", "/u:u=0", "/u:u-1" } } };
    boolean debug = false;
    for (Object[] row : inputs) {
        int i = 0;
        String schemaText = (String) row[i++];
        String dataMapText = (String) row[i++];
        DataSchema schema = dataSchemaFromString(schemaText);
        DataMap dataMap = dataMapFromString(dataMapText);
        DataSchemaAnnotationValidator dataSchemaAnnotationValidator = new DataSchemaAnnotationValidator();
        dataSchemaAnnotationValidator.init(schema, validatorClassMap);
        if (debug)
            out.println(dataSchemaAnnotationValidator.getInitMessages());
        assertTrue(dataSchemaAnnotationValidator.isInitOk());
        if (debug)
            out.println(dataSchemaAnnotationValidator);
        dataSchemaAnnotationValidator.setDebugMode(debug);
        OrderValidator._orderList.clear();
        ValidationOptions validationOptions = new ValidationOptions();
        ValidationResult validationResult = ValidateDataAgainstSchema.validate(dataMap, schema, validationOptions, dataSchemaAnnotationValidator);
        assertTrue(validationResult.isValid());
        if (debug)
            out.println(validationResult.getMessages());
        if (debug)
            out.println(OrderValidator._orderList);
        String[] expectedRelations = (String[]) row[i++];
        assertTrue(expectedRelations.length % 2 == 0);
        for (int r = 0; r < expectedRelations.length; r += 2) {
            OrderRelation orderRelation = new OrderRelation(new OrderEntry(expectedRelations[r]), new OrderEntry(expectedRelations[r + 1]));
            assertTrue(orderRelation.isSatisfied(OrderValidator._orderList));
        }
    }
}
Also used : HashMap(java.util.HashMap) TestUtil.dataMapFromString(com.linkedin.data.TestUtil.dataMapFromString) TestUtil.dataSchemaFromString(com.linkedin.data.TestUtil.dataSchemaFromString) ValidationOptions(com.linkedin.data.schema.validation.ValidationOptions) ValidationResult(com.linkedin.data.schema.validation.ValidationResult) DataMap(com.linkedin.data.DataMap) DataSchema(com.linkedin.data.schema.DataSchema) Test(org.testng.annotations.Test)

Example 45 with DataSchema

use of com.linkedin.data.schema.DataSchema in project rest.li by linkedin.

the class TestValidator method testBadInitializationOfDataSchemaAnnotationValidator.

@Test
public void testBadInitializationOfDataSchemaAnnotationValidator() throws IOException {
    Object[][] input = { { // validate property is not a DataMap
    "{\n" + "  \"name\" : \"Foo\",\n" + "  \"type\" : \"typeref\",\n" + "  \"ref\" : \"int\", \n" + "  \"validate\" : 32\n" + "}\n", "/Foo", "not a DataMap" }, { // validate property has key that cannot be resolved
    "{\n" + "  \"name\" : \"Foo\",\n" + "  \"type\" : \"typeref\",\n" + "  \"ref\" : \"int\", \n" + "  \"validate\" : { \"unknown\" : { } }\n" + "}\n", "/Foo", "unable to find Validator for \"unknown\"" }, { // value associated with key is not a DataMap
    "{\n" + "  \"name\" : \"Foo\",\n" + "  \"type\" : \"typeref\",\n" + "  \"ref\" : \"int\", \n" + "  \"validate\" : { \"bad\" : 10 }\n" + "}\n", "/Foo", "value of \"bad\" is not a DataMap" }, { // constructor throws exception
    "{\n" + "  \"name\" : \"Foo\",\n" + "  \"type\" : \"typeref\",\n" + "  \"ref\" : \"int\", \n" + "  \"validate\" : { \"bad\" : { } }\n" + "}\n", "/Foo", "BadValidator cannot be instantiated for \"bad\"" }, { // validate in field bad
    "{\n" + "  \"name\" : \"Foo\",\n" + "  \"type\" : \"record\",\n" + "  \"fields\" : [\n" + "    {\n" + "      \"name\" : \"intField\",\n" + "      \"type\" : \"int\",\n" + "      \"validate\" : { \"bad\" : { } }\n" + "    }\n" + "  ]\n" + "}\n", "/Foo/intField", "BadValidator cannot be instantiated for \"bad\"" }, { // test path
    "{\n" + "  \"name\" : \"Foo\",\n" + "  \"type\" : \"typeref\",\n" + "  \"ref\" : {\n" + "    \"name\" : \"Bar\",\n" + "    \"type\" : \"record\",\n" + "    \"fields\" : [\n" + "      {\n" + "        \"name\" : \"arrayField\",\n" + "        \"type\" : {\n" + "          \"type\" : \"array\",\n" + "          \"items\" : {\n" + "             \"type\" : \"map\",\n" + "             \"values\" : \"string\",\n" + "             \"validate\" : { \"bad\" : { } }\n" + "          }\n" + "        }\n" + "      }\n" + "    ]\n" + "  }\n" + "}\n", "/Foo/ref/Bar/arrayField/array/items/map", "BadValidator cannot be instantiated for \"bad\"" }, { // Validator key identifies class that is not a Validator.
    "{\n" + "  \"name\" : \"Foo\",\n" + "  \"type\" : \"typeref\",\n" + "  \"ref\" : \"int\", \n" + "  \"validate\" : { \"java.util.Map\" : { } }\n" + "}\n", "/Foo", "java.util.Map is not a com.linkedin.data.schema.validator.Validator", "unable to find Validator for \"java.util.Map\"" }, { // Validator key identifies class that is not a Validator.
    "{\n" + "  \"name\" : \"Foo\",\n" + "  \"type\" : \"typeref\",\n" + "  \"ref\" : \"int\", \n" + "  \"validate\" : { \"notA\" : { } }\n" + "}\n", "/Foo", "com.linkedin.data.schema.validator.NotAValidator is not a com.linkedin.data.schema.validator.Validator", "unable to find Validator for \"notA\"" } };
    final boolean debug = false;
    Map<String, Class<? extends Validator>> validatorClassMap = new HashMap<String, Class<? extends Validator>>();
    validatorClassMap.put("bad", BadValidator.class);
    for (Object[] row : input) {
        String schemaText = (String) row[0];
        if (debug)
            TestUtil.out.println(schemaText);
        DataSchema schema = dataSchemaFromString(schemaText);
        DataSchemaAnnotationValidator annotationValidator = new DataSchemaAnnotationValidator();
        annotationValidator.init(schema, validatorClassMap);
        if (debug)
            TestUtil.out.println(annotationValidator.getInitMessages());
        assertFalse(annotationValidator.isInitOk());
        assertFalse(annotationValidator.getInitMessages().isEmpty());
        for (int i = 1; i < row.length; i++) {
            assertTrue(annotationValidator.getInitMessages().toString().contains((String) row[i]));
        }
    }
}
Also used : DataSchema(com.linkedin.data.schema.DataSchema) HashMap(java.util.HashMap) TestUtil.dataMapFromString(com.linkedin.data.TestUtil.dataMapFromString) TestUtil.dataSchemaFromString(com.linkedin.data.TestUtil.dataSchemaFromString) Test(org.testng.annotations.Test)

Aggregations

DataSchema (com.linkedin.data.schema.DataSchema)131 RecordDataSchema (com.linkedin.data.schema.RecordDataSchema)82 NamedDataSchema (com.linkedin.data.schema.NamedDataSchema)53 ArrayDataSchema (com.linkedin.data.schema.ArrayDataSchema)48 TyperefDataSchema (com.linkedin.data.schema.TyperefDataSchema)44 DataMap (com.linkedin.data.DataMap)43 UnionDataSchema (com.linkedin.data.schema.UnionDataSchema)41 MapDataSchema (com.linkedin.data.schema.MapDataSchema)40 Test (org.testng.annotations.Test)37 EnumDataSchema (com.linkedin.data.schema.EnumDataSchema)36 FixedDataSchema (com.linkedin.data.schema.FixedDataSchema)24 ByteString (com.linkedin.data.ByteString)15 TestUtil.dataMapFromString (com.linkedin.data.TestUtil.dataMapFromString)15 TestUtil.dataSchemaFromString (com.linkedin.data.TestUtil.dataSchemaFromString)14 PrimitiveDataSchema (com.linkedin.data.schema.PrimitiveDataSchema)14 ArrayList (java.util.ArrayList)12 DataList (com.linkedin.data.DataList)11 ComplexDataSchema (com.linkedin.data.schema.ComplexDataSchema)9 SchemaParser (com.linkedin.data.schema.SchemaParser)9 ValidationOptions (com.linkedin.data.schema.validation.ValidationOptions)9