/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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 org.apache.flink.streaming.connectors.kafka;
import java.util.Properties;
import org.apache.flink.api.common.typeinfo.TypeInformation;
import org.apache.flink.api.java.typeutils.RowTypeInfo;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.connectors.kafka.partitioner.FlinkKafkaPartitioner;
import org.apache.flink.streaming.util.serialization.KeyedSerializationSchemaWrapper;
import org.apache.flink.streaming.util.serialization.SerializationSchema;
import org.apache.flink.table.api.Types;
import org.apache.flink.types.Row;
import org.junit.Test;
import static org.junit.Assert.assertArrayEquals;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertNotSame;
import static org.mockito.Matchers.eq;
import static org.mockito.Mockito.any;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.spy;
import static org.mockito.Mockito.verify;
public abstract class KafkaTableSinkTestBase {
private static final String TOPIC = "testTopic";
protected static final String[] FIELD_NAMES = new String[] {"field1", "field2"};
private static final TypeInformation[] FIELD_TYPES = new TypeInformation[] { Types.INT(), Types.STRING() };
private static final FlinkKafkaPartitioner<Row> PARTITIONER = new CustomPartitioner();
private static final Properties PROPERTIES = createSinkProperties();
@SuppressWarnings("unchecked")
private final FlinkKafkaProducerBase<Row> PRODUCER = new FlinkKafkaProducerBase<Row>(
TOPIC, new KeyedSerializationSchemaWrapper(getSerializationSchema()), PROPERTIES, PARTITIONER) {
@Override
protected void flush() {}
};
@Test
@SuppressWarnings("unchecked")
public void testKafkaTableSink() throws Exception {
DataStream dataStream = mock(DataStream.class);
KafkaTableSink kafkaTableSink = spy(createTableSink());
kafkaTableSink.emitDataStream(dataStream);
verify(dataStream).addSink(eq(PRODUCER));
verify(kafkaTableSink).createKafkaProducer(
eq(TOPIC),
eq(PROPERTIES),
any(getSerializationSchema().getClass()),
eq(PARTITIONER));
}
@Test
public void testConfiguration() {
KafkaTableSink kafkaTableSink = createTableSink();
KafkaTableSink newKafkaTableSink = kafkaTableSink.configure(FIELD_NAMES, FIELD_TYPES);
assertNotSame(kafkaTableSink, newKafkaTableSink);
assertArrayEquals(FIELD_NAMES, newKafkaTableSink.getFieldNames());
assertArrayEquals(FIELD_TYPES, newKafkaTableSink.getFieldTypes());
assertEquals(new RowTypeInfo(FIELD_TYPES), newKafkaTableSink.getOutputType());
}
protected abstract KafkaTableSink createTableSink(String topic, Properties properties,
FlinkKafkaPartitioner<Row> partitioner, FlinkKafkaProducerBase<Row> kafkaProducer);
protected abstract SerializationSchema<Row> getSerializationSchema();
private KafkaTableSink createTableSink() {
return createTableSink(TOPIC, PROPERTIES, PARTITIONER, PRODUCER);
}
private static Properties createSinkProperties() {
Properties properties = new Properties();
properties.setProperty("bootstrap.servers", "localhost:12345");
return properties;
}
private static class CustomPartitioner extends FlinkKafkaPartitioner<Row> {
@Override
public int partition(Row record, byte[] key, byte[] value, String targetTopic, int[] partitions) {
return 0;
}
}
}