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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; | ||
|
|
||
| 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; | ||
|
|
||
| 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; | ||
|
|
||
| /** Integration test for {@link KafkaToBigQuery} (Kafka_To_BigQuery). */ | ||
| @Category(TemplateIntegrationTest.class) | ||
| @TemplateIntegrationTest(KafkaToBigQueryFlex.class) | ||
| @RunWith(JUnit4.class) | ||
| public final class KafkaToBigQueryFlexJsonIT extends TemplateTestBase { | ||
|
|
||
| private static final Logger LOG = LoggerFactory.getLogger(BigtableResourceManager.class); | ||
|
|
||
| private KafkaResourceManager kafkaResourceManager; | ||
| private BigQueryResourceManager bigQueryClient; | ||
|
|
||
| @Before | ||
| public void setup() throws IOException { | ||
| bigQueryClient = BigQueryResourceManager.builder(testName, PROJECT, credentials).build(); | ||
| bigQueryClient.createDataset(REGION); | ||
|
|
||
| kafkaResourceManager = | ||
| KafkaResourceManager.builder(testName).setHost(TestProperties.hostIp()).build(); | ||
| } | ||
|
|
||
| @After | ||
| public void tearDown() { | ||
| ResourceManagerUtils.cleanResources(kafkaResourceManager, bigQueryClient); | ||
| } | ||
|
|
||
| @Test | ||
| public void testKafkaToBigQuery() throws IOException { | ||
| baseKafkaToBigQuery( | ||
| b -> | ||
| b.addParameter("messageFormat", "JSON") | ||
| .addParameter("writeMode", "SINGLE_TABLE_NAME") | ||
| .addParameter("useBigQueryDLQ", "false") | ||
| .addParameter("kafkaReadAuthenticationMode", "NONE")); | ||
| } | ||
|
|
||
| @Test | ||
| public void testKafkaToBigQueryWithExistingDLQ() throws IOException { | ||
| TableId deadletterTableId = | ||
| bigQueryClient.createTable(testName + "_dlq", getDeadletterSchema()); | ||
|
|
||
| baseKafkaToBigQuery( | ||
| b -> | ||
| b.addParameter("messageFormat", "JSON") | ||
| .addParameter("writeMode", "SINGLE_TABLE_NAME") | ||
| .addParameter("useBigQueryDLQ", "true") | ||
| .addParameter("outputDeadletterTable", toTableSpecLegacy(deadletterTableId)) | ||
| .addParameter("kafkaReadAuthenticationMode", "NONE")); | ||
| } | ||
|
|
||
| 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; | ||
| } | ||
|
|
||
| public void baseKafkaToBigQuery(Function<LaunchConfig.Builder, LaunchConfig.Builder> paramsAdder) | ||
| throws IOException { | ||
| // Arrange | ||
| String topicName = kafkaResourceManager.createTopic(testName, 5); | ||
|
|
||
| String bqTable = testName; | ||
| Schema bqSchema = | ||
| Schema.of( | ||
| Field.of("id", StandardSQLTypeName.INT64), | ||
| Field.of("name", StandardSQLTypeName.STRING)); | ||
|
|
||
| TableId tableId = bigQueryClient.createTable(bqTable, bqSchema); | ||
| TableId deadletterTableId = TableId.of(tableId.getDataset(), tableId.getTable() + "_dlq"); | ||
|
|
||
| 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))); | ||
|
|
||
| // Act | ||
| LaunchInfo info = launchTemplate(options); | ||
| assertThatPipeline(info).isRunning(); | ||
| KafkaProducer<String, String> kafkaProducer = | ||
| kafkaResourceManager.buildProducer(new StringSerializer(), new StringSerializer()); | ||
|
|
||
| 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\"}"); | ||
|
|
||
| try { | ||
| TimeUnit.SECONDS.sleep(3); | ||
| } catch (InterruptedException e) { | ||
| Thread.currentThread().interrupt(); | ||
| } | ||
| } | ||
|
|
||
| Result result = | ||
| pipelineOperator() | ||
| .waitForConditionsAndFinish( | ||
| createConfig(info), | ||
| BigQueryRowsCheck.builder(bigQueryClient, tableId).setMinRows(20).build(), | ||
| BigQueryRowsCheck.builder(bigQueryClient, deadletterTableId) | ||
| .setMinRows(10) | ||
| .build()); | ||
|
|
||
| // Assert | ||
| assertThatResult(result).meetsConditions(); | ||
|
|
||
| TableResult tableRows = bigQueryClient.readTable(bqTable); | ||
| assertThatBigQueryRecords(tableRows) | ||
| .hasRecordsUnordered( | ||
| List.of(Map.of("id", 11, "name", "Dataflow"), Map.of("id", 12, "name", "Pub/Sub"))); | ||
| } | ||
|
|
||
| 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); | ||
| } | ||
| } | ||
| } |