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* Licensed to the Apache Software Foundation (ASF) under one
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* 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.
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package org.apache.beam.sdk.extensions.sql.meta.provider.kafka;
import static org.hamcrest.MatcherAssert.assertThat;
import static org.hamcrest.Matchers.containsString;
import static org.junit.Assert.assertThrows;
import com.alibaba.fastjson.JSON;
import java.util.List;
import org.apache.beam.sdk.coders.ByteArrayCoder;
import org.apache.beam.sdk.extensions.protobuf.PayloadMessages;
import org.apache.beam.sdk.extensions.sql.meta.Table;
import org.apache.beam.sdk.io.kafka.KafkaRecordCoder;
import org.apache.beam.sdk.io.kafka.ProducerRecordCoder;
import org.apache.beam.sdk.schemas.Schema;
import org.apache.beam.sdk.testing.PAssert;
import org.apache.beam.sdk.transforms.Create;
import org.apache.beam.sdk.transforms.MapElements;
import org.apache.beam.sdk.values.PCollection;
import org.apache.beam.sdk.values.Row;
import org.apache.beam.vendor.guava.v26_0_jre.com.google.common.collect.ImmutableList;
import org.junit.Test;
public class BeamKafkaTableProtoTest extends BeamKafkaTableTest {
private static final Schema TEST_SCHEMA =
Schema.builder()
.addInt64Field("f_long")
.addInt32Field("f_int")
.addDoubleField("f_double")
.addStringField("f_string")
.addArrayField("f_float_array", Schema.FieldType.FLOAT)
.build();
private static final Schema SHUFFLED_SCHEMA =
Schema.builder()
.addStringField("f_string")
.addInt32Field("f_int")
.addArrayField("f_float_array", Schema.FieldType.FLOAT)
.addDoubleField("f_double")
.addInt64Field("f_long")
.build();
@Test
public void testWithShuffledSchema() throws Exception {
BeamKafkaTable kafkaTable = getBeamKafkaTable(SHUFFLED_SCHEMA);
PCollection<Row> result =
pipeline
.apply(Create.of(shuffledRow(1), shuffledRow(2)))
.apply(kafkaTable.getPTransformForOutput())
.setCoder(ProducerRecordCoder.of(ByteArrayCoder.of(), ByteArrayCoder.of()))
.apply(MapElements.via(new ProducerToRecord()))
.setCoder(KafkaRecordCoder.of(ByteArrayCoder.of(), ByteArrayCoder.of()))
.apply(kafkaTable.getPTransformForInput());
PAssert.that(result).containsInAnyOrder(shuffledRow(1), shuffledRow(2));
pipeline.run();
}
@Test
public void testSchemasDoNotMatch() {
Schema schema = Schema.builder().addStringField("non_existing_field").build();
IllegalArgumentException e =
assertThrows(IllegalArgumentException.class, () -> getBeamKafkaTable(schema));
assertThat(
e.getMessage(),
containsString("does not match schema inferred from protobuf class.\nProtobuf class: "));
}
private static BeamKafkaTable getBeamKafkaTable(Schema schema) {
return (BeamKafkaTable)
(new KafkaTableProvider()
.buildBeamSqlTable(
Table.builder()
.name("kafka")
.type("kafka")
.schema(schema)
.properties(
JSON.parseObject(
"{ \"topics\": [ \"mytopic\" ], \"format\": \"proto\", \"protoClass\": \""
+ PayloadMessages.TestMessage.class.getName()
+ "\" }"))
.build()));
}
@Override
protected BeamKafkaTable getBeamKafkaTable() {
return getBeamKafkaTable(TEST_SCHEMA);
}
@Override
protected Row generateRow(int i) {
List<Object> values =
ImmutableList.of((long) i, i, (double) i, "proto_value" + i, ImmutableList.of((float) i));
return Row.withSchema(TEST_SCHEMA).addValues(values).build();
}
@Override
protected byte[] generateEncodedPayload(int i) {
PayloadMessages.TestMessage message =
PayloadMessages.TestMessage.newBuilder()
.setFLong(i)
.setFInt(i)
.setFDouble(i)
.setFString("proto_value" + i)
.addFFloatArray((float) i)
.build();
return message.toByteArray();
}
private Row shuffledRow(int i) {
List<Object> values =
ImmutableList.of("proto_value" + i, i, ImmutableList.of((float) i), (double) i, (long) i);
return Row.withSchema(SHUFFLED_SCHEMA).addValues(values).build();
}
}