/*
* Copyright 2017 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.streams.serdes.avro;
import org.apache.avro.Schema;
import org.apache.avro.generic.GenericData;
import org.apache.avro.generic.GenericRecord;
import org.apache.avro.generic.IndexedRecord;
public class AvroUtils {
private static IndexedRecord createAvroRecord() {
String userSchema =
"{\"namespace\": \"example.avro\", \"type\": \"record\", " +
"\"name\": \"User\"," +
"\"fields\": [{\"name\": \"name\", \"type\": \"string\"}]}";
Schema.Parser parser = new Schema.Parser();
Schema schema = parser.parse(userSchema);
GenericRecord avroRecord = new GenericData.Record(schema);
avroRecord.put("name", "alice");
return avroRecord;
}
static GenericRecord createGenericRecord() {
return (GenericRecord) createAvroRecord();
}
}