/**
* Copyright 2014 Confluent Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package io.confluent.kafka.schemaregistry.avro;
import org.apache.avro.Schema;
import org.apache.avro.SchemaValidationException;
import org.apache.avro.SchemaValidator;
import org.apache.avro.SchemaValidatorBuilder;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
public class AvroCompatibilityChecker {
// Check if the new schema can be used to read data produced by the previous schema
private static SchemaValidator BACKWARD_VALIDATOR =
new SchemaValidatorBuilder().canReadStrategy().validateLatest();
public static AvroCompatibilityChecker BACKWARD_CHECKER = new AvroCompatibilityChecker(
BACKWARD_VALIDATOR);
// Check if data produced by the new schema can be read by the previous schema
private static SchemaValidator FORWARD_VALIDATOR =
new SchemaValidatorBuilder().canBeReadStrategy().validateLatest();
public static AvroCompatibilityChecker FORWARD_CHECKER = new AvroCompatibilityChecker(
FORWARD_VALIDATOR);
// Check if the new schema is both forward and backward compatible with the previous schema
private static SchemaValidator FULL_VALIDATOR =
new SchemaValidatorBuilder().mutualReadStrategy().validateLatest();
public static AvroCompatibilityChecker FULL_CHECKER = new AvroCompatibilityChecker(
FULL_VALIDATOR);
// Check if the new schema can be used to read data produced by all earlier schemas
private static SchemaValidator BACKWARD_TRANSITIVE_VALIDATOR =
new SchemaValidatorBuilder().canReadStrategy().validateAll();
public static AvroCompatibilityChecker BACKWARD_TRANSITIVE_CHECKER = new AvroCompatibilityChecker(
BACKWARD_TRANSITIVE_VALIDATOR);
// Check if data produced by the new schema can be read by all earlier schemas
private static SchemaValidator FORWARD_TRANSITIVE_VALIDATOR =
new SchemaValidatorBuilder().canBeReadStrategy().validateAll();
public static AvroCompatibilityChecker FORWARD_TRANSITIVE_CHECKER = new AvroCompatibilityChecker(
FORWARD_TRANSITIVE_VALIDATOR);
// Check if the new schema is both forward and backward compatible with all earlier schemas
private static SchemaValidator FULL_TRANSITIVE_VALIDATOR =
new SchemaValidatorBuilder().mutualReadStrategy().validateAll();
public static AvroCompatibilityChecker FULL_TRANSITIVE_CHECKER = new AvroCompatibilityChecker(
FULL_TRANSITIVE_VALIDATOR);
private static SchemaValidator NO_OP_VALIDATOR = new SchemaValidator() {
@Override
public void validate(Schema schema, Iterable<Schema> schemas) throws SchemaValidationException {
// do nothing
}
};
public static AvroCompatibilityChecker NO_OP_CHECKER = new AvroCompatibilityChecker(
NO_OP_VALIDATOR);
private final SchemaValidator validator;
private AvroCompatibilityChecker(SchemaValidator validator) {
this.validator = validator;
}
/**
* Check the compatibility between the new schema and the latest schema
*/
public boolean isCompatible(Schema newSchema, Schema latestSchema) {
return isCompatible(newSchema, Collections.singletonList(latestSchema));
}
/**
* Check the compatibility between the new schema and the specified schemas
*
* @param previousSchemas Full schema history in chronological order
*/
public boolean isCompatible(Schema newSchema, List<Schema> previousSchemas) {
List<Schema> previousSchemasCopy = new ArrayList<>(previousSchemas);
try {
// Validator checks in list order, but checks should occur in reverse chronological order
Collections.reverse(previousSchemasCopy);
validator.validate(newSchema, previousSchemasCopy);
} catch (SchemaValidationException e) {
return false;
}
return true;
}
}