/**
* Copyright 2016 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.examples.streams.utils;
import org.apache.kafka.common.serialization.Deserializer;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.apache.kafka.streams.kstream.Windowed;
import org.apache.kafka.streams.kstream.internals.UnlimitedWindow;
import java.nio.ByteBuffer;
import java.util.Map;
public class WindowedStringDeserializer implements Deserializer<Windowed<String>> {
private static final int TIMESTAMP_SIZE = 8;
private StringDeserializer keyDeserializer = new StringDeserializer();
@Override
public void configure(final Map configs, final boolean isKey) { }
@Override
public Windowed<String> deserialize(final String topic, final byte[] data) {
byte[] bytes = new byte[data.length - TIMESTAMP_SIZE];
System.arraycopy(data, 0, bytes, 0, bytes.length);
long start = ByteBuffer.wrap(data).getLong(data.length - TIMESTAMP_SIZE);
return new Windowed<>(keyDeserializer.deserialize(topic, bytes), new UnlimitedWindow(start));
}
@Override
public void close() {
}
}