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Add integration test for KafkaToBigQuery Template
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...query/src/test/java/com/google/cloud/teleport/v2/templates/KafkaToBigQueryFlexJsonIT.java
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/* | ||
* Copyright (C) 2024 Google LLC | ||
* | ||
* 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 com.google.cloud.teleport.v2.templates; | ||
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import static org.apache.beam.it.gcp.bigquery.matchers.BigQueryAsserts.assertThatBigQueryRecords; | ||
import static org.apache.beam.it.truthmatchers.PipelineAsserts.assertThatPipeline; | ||
import static org.apache.beam.it.truthmatchers.PipelineAsserts.assertThatResult; | ||
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import com.google.cloud.bigquery.Field; | ||
import com.google.cloud.bigquery.Field.Mode; | ||
import com.google.cloud.bigquery.Schema; | ||
import com.google.cloud.bigquery.StandardSQLTypeName; | ||
import com.google.cloud.bigquery.TableId; | ||
import com.google.cloud.bigquery.TableResult; | ||
import com.google.cloud.teleport.metadata.TemplateIntegrationTest; | ||
import java.io.IOException; | ||
import java.util.List; | ||
import java.util.Map; | ||
import java.util.concurrent.TimeUnit; | ||
import java.util.function.Function; | ||
import org.apache.beam.it.common.PipelineLauncher.LaunchConfig; | ||
import org.apache.beam.it.common.PipelineLauncher.LaunchInfo; | ||
import org.apache.beam.it.common.PipelineOperator.Result; | ||
import org.apache.beam.it.common.TestProperties; | ||
import org.apache.beam.it.common.utils.ResourceManagerUtils; | ||
import org.apache.beam.it.gcp.TemplateTestBase; | ||
import org.apache.beam.it.gcp.bigquery.BigQueryResourceManager; | ||
import org.apache.beam.it.gcp.bigquery.conditions.BigQueryRowsCheck; | ||
import org.apache.beam.it.gcp.bigtable.BigtableResourceManager; | ||
import org.apache.beam.it.kafka.KafkaResourceManager; | ||
import org.apache.kafka.clients.producer.KafkaProducer; | ||
import org.apache.kafka.clients.producer.ProducerRecord; | ||
import org.apache.kafka.clients.producer.RecordMetadata; | ||
import org.apache.kafka.common.serialization.StringSerializer; | ||
import org.junit.After; | ||
import org.junit.Before; | ||
import org.junit.Test; | ||
import org.junit.experimental.categories.Category; | ||
import org.junit.runner.RunWith; | ||
import org.junit.runners.JUnit4; | ||
import org.slf4j.Logger; | ||
import org.slf4j.LoggerFactory; | ||
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/** Integration test for {@link KafkaToBigQuery} (Kafka_To_BigQuery). */ | ||
@Category(TemplateIntegrationTest.class) | ||
@TemplateIntegrationTest(KafkaToBigQueryFlex.class) | ||
@RunWith(JUnit4.class) | ||
public final class KafkaToBigQueryFlexJsonIT extends TemplateTestBase { | ||
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private static final Logger LOG = LoggerFactory.getLogger(BigtableResourceManager.class); | ||
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private KafkaResourceManager kafkaResourceManager; | ||
private BigQueryResourceManager bigQueryClient; | ||
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@Before | ||
public void setup() throws IOException { | ||
bigQueryClient = BigQueryResourceManager.builder(testName, PROJECT, credentials).build(); | ||
bigQueryClient.createDataset(REGION); | ||
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kafkaResourceManager = | ||
KafkaResourceManager.builder(testName).setHost(TestProperties.hostIp()).build(); | ||
} | ||
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@After | ||
public void tearDown() { | ||
ResourceManagerUtils.cleanResources(kafkaResourceManager, bigQueryClient); | ||
} | ||
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@Test | ||
public void testKafkaToBigQuery() throws IOException { | ||
baseKafkaToBigQuery( | ||
b -> | ||
b.addParameter("messageFormat", "JSON") | ||
.addParameter("writeMode", "SINGLE_TABLE_NAME") | ||
.addParameter("useBigQueryDLQ", "false") | ||
.addParameter("kafkaReadAuthenticationMode", "NONE")); | ||
} | ||
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@Test | ||
public void testKafkaToBigQueryWithExistingDLQ() throws IOException { | ||
TableId deadletterTableId = | ||
bigQueryClient.createTable(testName + "_dlq", getDeadletterSchema()); | ||
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baseKafkaToBigQuery( | ||
b -> | ||
b.addParameter("messageFormat", "JSON") | ||
.addParameter("writeMode", "SINGLE_TABLE_NAME") | ||
.addParameter("useBigQueryDLQ", "true") | ||
.addParameter("outputDeadletterTable", toTableSpecLegacy(deadletterTableId)) | ||
.addParameter("kafkaReadAuthenticationMode", "NONE")); | ||
} | ||
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private Schema getDeadletterSchema() { | ||
Schema dlqSchema = | ||
Schema.of( | ||
Field.newBuilder("timestamp", StandardSQLTypeName.TIMESTAMP) | ||
.setMode(Mode.REQUIRED) | ||
.build(), | ||
Field.newBuilder("payloadString", StandardSQLTypeName.STRING) | ||
.setMode(Mode.REQUIRED) | ||
.build(), | ||
Field.newBuilder("payloadBytes", StandardSQLTypeName.BYTES) | ||
.setMode(Mode.REQUIRED) | ||
.build(), | ||
Field.newBuilder( | ||
"attributes", | ||
StandardSQLTypeName.STRUCT, | ||
Field.newBuilder("key", StandardSQLTypeName.STRING) | ||
.setMode(Mode.NULLABLE) | ||
.build(), | ||
Field.newBuilder("value", StandardSQLTypeName.STRING) | ||
.setMode(Mode.NULLABLE) | ||
.build()) | ||
.setMode(Mode.REPEATED) | ||
.build(), | ||
Field.newBuilder("errorMessage", StandardSQLTypeName.STRING) | ||
.setMode(Mode.NULLABLE) | ||
.build(), | ||
Field.newBuilder("stacktrace", StandardSQLTypeName.STRING) | ||
.setMode(Mode.NULLABLE) | ||
.build()); | ||
return dlqSchema; | ||
} | ||
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public void baseKafkaToBigQuery(Function<LaunchConfig.Builder, LaunchConfig.Builder> paramsAdder) | ||
throws IOException { | ||
// Arrange | ||
String topicName = kafkaResourceManager.createTopic(testName, 5); | ||
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String bqTable = testName; | ||
Schema bqSchema = | ||
Schema.of( | ||
Field.of("id", StandardSQLTypeName.INT64), | ||
Field.of("name", StandardSQLTypeName.STRING)); | ||
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TableId tableId = bigQueryClient.createTable(bqTable, bqSchema); | ||
TableId deadletterTableId = TableId.of(tableId.getDataset(), tableId.getTable() + "_dlq"); | ||
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LaunchConfig.Builder options = | ||
paramsAdder.apply( | ||
LaunchConfig.builder(testName, specPath) | ||
.addParameter( | ||
"readBootstrapServerAndTopic", | ||
kafkaResourceManager.getBootstrapServers().replace("PLAINTEXT://", "") | ||
+ ";" | ||
+ topicName) | ||
.addParameter("kafkaReadOffset", "earliest") | ||
.addParameter("outputTableSpec", toTableSpecLegacy(tableId)) | ||
.addParameter("outputDeadletterTable", toTableSpecLegacy(deadletterTableId))); | ||
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// Act | ||
LaunchInfo info = launchTemplate(options); | ||
assertThatPipeline(info).isRunning(); | ||
KafkaProducer<String, String> kafkaProducer = | ||
kafkaResourceManager.buildProducer(new StringSerializer(), new StringSerializer()); | ||
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for (int i = 1; i <= 10; i++) { | ||
publish(kafkaProducer, topicName, i + "1", "{\"id\": " + i + "1, \"name\": \"Dataflow\"}"); | ||
publish(kafkaProducer, topicName, i + "2", "{\"id\": " + i + "2, \"name\": \"Pub/Sub\"}"); | ||
// Invalid schema to test the DLQ | ||
publish( | ||
kafkaProducer, topicName, i + "3", "{\"id\": " + i + "3, \"description\": \"Pub/Sub\"}"); | ||
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try { | ||
TimeUnit.SECONDS.sleep(3); | ||
} catch (InterruptedException e) { | ||
Thread.currentThread().interrupt(); | ||
} | ||
} | ||
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Result result = | ||
pipelineOperator() | ||
.waitForConditionsAndFinish( | ||
createConfig(info), | ||
BigQueryRowsCheck.builder(bigQueryClient, tableId).setMinRows(20).build(), | ||
BigQueryRowsCheck.builder(bigQueryClient, deadletterTableId) | ||
.setMinRows(10) | ||
.build()); | ||
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// Assert | ||
assertThatResult(result).meetsConditions(); | ||
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TableResult tableRows = bigQueryClient.readTable(bqTable); | ||
assertThatBigQueryRecords(tableRows) | ||
.hasRecordsUnordered( | ||
List.of(Map.of("id", 11, "name", "Dataflow"), Map.of("id", 12, "name", "Pub/Sub"))); | ||
} | ||
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private void publish( | ||
KafkaProducer<String, String> producer, String topicName, String key, String value) { | ||
try { | ||
RecordMetadata recordMetadata = | ||
producer.send(new ProducerRecord<>(topicName, key, value)).get(); | ||
LOG.info( | ||
"Published record {}, partition {} - offset: {}", | ||
recordMetadata.topic(), | ||
recordMetadata.partition(), | ||
recordMetadata.offset()); | ||
} catch (Exception e) { | ||
throw new RuntimeException("Error publishing record to Kafka", e); | ||
} | ||
} | ||
} |