/* * 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(); } }