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189 changes: 189 additions & 0 deletions
189
...va/io/confluent/connect/elasticsearch/integration/ElasticsearchConnectorDataFormatIT.java
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| /* | ||
| * Copyright 2020 Confluent Inc. | ||
| * | ||
| * Licensed under the Confluent Community License (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.confluent.io/confluent-community-license | ||
| * | ||
| * Unless required by applicable law or agreed to in writing, software | ||
| * distributed under the License is distributed on an "AS IS" BASIS, WITHOUT | ||
| * WARRANTIES OF ANY KIND, either express or implied. See the License for the | ||
| * specific language governing permissions and limitations under the License. | ||
| */ | ||
|
|
||
| package io.confluent.connect.elasticsearch.integration; | ||
|
|
||
| import io.confluent.connect.avro.AvroConverter; | ||
| import io.confluent.connect.json.JsonSchemaConverter; | ||
| import io.confluent.connect.protobuf.ProtobufConverter; | ||
| import io.confluent.kafka.schemaregistry.CompatibilityLevel; | ||
| import io.confluent.kafka.schemaregistry.RestApp; | ||
| import org.apache.kafka.clients.producer.KafkaProducer; | ||
| import org.apache.kafka.clients.producer.ProducerConfig; | ||
| import org.apache.kafka.clients.producer.ProducerRecord; | ||
| import org.apache.kafka.common.KafkaException; | ||
| import org.apache.kafka.common.serialization.ByteArraySerializer; | ||
| import org.apache.kafka.connect.data.Schema; | ||
| import org.apache.kafka.connect.data.SchemaAndValue; | ||
| import org.apache.kafka.connect.data.SchemaBuilder; | ||
| import org.apache.kafka.connect.data.Struct; | ||
| import org.apache.kafka.connect.storage.Converter; | ||
| import org.apache.kafka.test.TestUtils; | ||
| import org.junit.Test; | ||
| import org.junit.runner.RunWith; | ||
| import org.junit.runners.Parameterized; | ||
| import org.junit.runners.Parameterized.Parameters; | ||
|
|
||
| import java.io.IOException; | ||
| import java.net.ServerSocket; | ||
| import java.util.ArrayList; | ||
| import java.util.Arrays; | ||
| import java.util.Collections; | ||
| import java.util.HashMap; | ||
| import java.util.List; | ||
| import java.util.Map; | ||
| import java.util.Properties; | ||
| import java.util.concurrent.TimeUnit; | ||
|
|
||
| import static io.confluent.kafka.schemaregistry.ClusterTestHarness.KAFKASTORE_TOPIC; | ||
|
|
||
| @RunWith(Parameterized.class) | ||
| public class ElasticsearchConnectorDataFormatIT extends ElasticsearchConnectorBaseIT { | ||
|
|
||
| protected void startSchemaRegistry() throws Exception { | ||
| int port = findAvailableOpenPort(); | ||
| restApp = new RestApp(port, null, connect.kafka().bootstrapServers(), | ||
| KAFKASTORE_TOPIC, CompatibilityLevel.NONE.name, true, new Properties()); | ||
| restApp.start(); | ||
| waitForSchemaRegistryToStart(); | ||
| } | ||
|
|
||
| protected void stopSchemaRegistry() throws Exception { | ||
| restApp.stop(); | ||
| } | ||
|
|
||
| protected void waitForSchemaRegistryToStart() throws InterruptedException { | ||
| TestUtils.waitForCondition( | ||
| () -> restApp.restServer.isRunning(), | ||
| CONNECTOR_STARTUP_DURATION_MS, | ||
| "Schema-registry server did not start in time." | ||
| ); | ||
| } | ||
|
|
||
| private Converter converter; | ||
| private Class<? extends Converter> converterClass; | ||
|
|
||
| @Override | ||
| public void setup() throws Exception { | ||
| startConnect(); | ||
| startSchemaRegistry(); | ||
| connect.kafka().createTopic(TOPIC); | ||
|
|
||
| props = createProps(); | ||
| client = createClient(); | ||
| } | ||
|
|
||
| @Override | ||
| public void cleanup() throws Exception { | ||
| stopConnect(); | ||
| stopSchemaRegistry(); | ||
| client.deleteAll(); | ||
| client.close(); | ||
| } | ||
|
|
||
| @Parameters | ||
| public static List<Class<? extends Converter>> data() { | ||
| return Arrays.asList(JsonSchemaConverter.class, ProtobufConverter.class, AvroConverter.class); | ||
| } | ||
|
|
||
|
|
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| public ElasticsearchConnectorDataFormatIT(Class<? extends Converter> converter) throws Exception { | ||
| this.converterClass = converter; | ||
| this.converter = converterClass.getConstructor().newInstance(); | ||
| } | ||
|
|
||
| @Test | ||
| public void testHappyPathDataFormat() throws Exception { | ||
| // configure configs and converter with schema-registry addr | ||
| props.put("value.converter", converterClass.getSimpleName()); | ||
| props.put("value.converter.schema.registry.url", restApp.restServer.getURI().toString()); | ||
| props.put("value.converter.scrub.invalid.names", "true"); | ||
| converter.configure(Collections.singletonMap( | ||
| "schema.registry.url", restApp.restServer.getURI().toString() | ||
| ), false | ||
| ); | ||
|
|
||
| // wait for schema-registry to spin up | ||
| waitForSchemaRegistryToStart(); | ||
|
|
||
| // run test | ||
| writeRecords(NUM_RECORDS); | ||
| } | ||
|
|
||
| @Override | ||
| protected void writeRecords(int numRecords) { | ||
| writeRecordsFromIndex(0, numRecords, converter); | ||
| } | ||
|
|
||
| protected void writeRecordsFromIndex(int start, int numRecords, Converter converter) { | ||
| // get defined schema for the test | ||
| Schema schema = getRecordSchema(); | ||
|
|
||
| // configure producer with default properties | ||
| KafkaProducer<byte[], byte[]> producer = configureProducer(); | ||
|
|
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| List<SchemaAndValue> recordsList = getRecords(schema, start, numRecords); | ||
|
|
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| // produce records into topic | ||
| produceRecords(producer, converter, recordsList, TOPIC); | ||
| } | ||
|
|
||
| private Integer findAvailableOpenPort() throws IOException { | ||
| try (ServerSocket socket = new ServerSocket(0)) { | ||
| return socket.getLocalPort(); | ||
| } | ||
| } | ||
|
|
||
| protected List<SchemaAndValue> getRecords(Schema schema, int start, int numRecords) { | ||
| List<SchemaAndValue> recordList = new ArrayList<>(); | ||
| for (int i = start; i < start + numRecords; i++) { | ||
| Struct struct = new Struct(schema); | ||
| struct.put("doc_num", i); | ||
| SchemaAndValue schemaAndValue = new SchemaAndValue(schema, struct); | ||
| recordList.add(schemaAndValue); | ||
| } | ||
| return recordList; | ||
| } | ||
|
|
||
| protected void produceRecords( | ||
| KafkaProducer<byte[], byte[]> producer, | ||
| Converter converter, | ||
| List<SchemaAndValue> recordsList, | ||
| String topic | ||
| ) { | ||
| for (int i = 0; i < recordsList.size(); i++) { | ||
| SchemaAndValue schemaAndValue = recordsList.get(i); | ||
| byte[] convertedStruct = converter.fromConnectData(topic, schemaAndValue.schema(), schemaAndValue.value()); | ||
| ProducerRecord<byte[], byte[]> msg = new ProducerRecord<>(topic, 0, String.valueOf(i).getBytes(), convertedStruct); | ||
| try { | ||
| producer.send(msg).get(TimeUnit.SECONDS.toMillis(120), TimeUnit.MILLISECONDS); | ||
| } catch (Exception e) { | ||
| throw new KafkaException("Could not produce message: " + msg, e); | ||
| } | ||
| } | ||
| } | ||
|
|
||
| protected KafkaProducer<byte[], byte[]> configureProducer() { | ||
| Map<String, Object> producerProps = new HashMap<>(); | ||
| producerProps.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, connect.kafka().bootstrapServers()); | ||
| return new KafkaProducer<>(producerProps, new ByteArraySerializer(), new ByteArraySerializer()); | ||
| } | ||
|
|
||
| protected Schema getRecordSchema() { | ||
| SchemaBuilder schemaBuilder = SchemaBuilder.struct(); | ||
| schemaBuilder.field("doc_num", Schema.INT32_SCHEMA); | ||
| return schemaBuilder.build(); | ||
| } | ||
| } |
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