- html - 出于某种原因,IE8 对我的 Sass 文件中继承的 html5 CSS 不友好?
- JMeter 在响应断言中使用 span 标签的问题
- html - 在 :hover and :active? 上具有不同效果的 CSS 动画
- html - 相对于居中的 html 内容固定的 CSS 重复背景?
我遇到了 TopologyTestDriver 的问题,因为当拓扑尝试将记录发布到主题时,必须设置属性:KafkaAvroSerializerConfig.SCHEMA_REGISTRY_URL_CONFIG, "url"
,它会发生到配置中提供的“url”。我如何模拟该访问以指向 MockedSchemaRegistry?
要将 avro 中的记录写入主题,请使用 mockSchemaRegistryClient.register
还有一个问题,如何将 stateStore 加载到拓扑中?我在初始化时创建 stateStore(主题已创建)
我的依赖:
testImplementation("org.junit.jupiter:junit-jupiter-api:5.3.1")
testRuntimeOnly("org.junit.jupiter:junit-jupiter-engine:5.3.1")
testCompile 'org.mockito:mockito-core:2.18.3'
testCompile 'org.assertj:assertj-core:3.9.1'
testCompile ("org.mockito:junit-jupiter:2.20.0")
testCompile 'org.skyscreamer:jsonassert:1.5.0'
testCompile group: 'org.springframework', name: 'spring-test', version: '5.0.8.RELEASE'
testCompile 'org.apache.kafka:kafka-streams-test-utils:2.0.0'
这是我的代码:
@ExtendWith(SpringExtension.class)
@Import({KafkaStreamsCdlcfMapperConfiguration.class, KafkaStreamsCdlcfMapperSpecificConfiguration.class,
CdlcfStreamsTopologyImpl.class, CdlcfMappingProcessor.class, CdlcfMappingServiceImpl.class, RecordParserServiceImpl.class,
FormatFileFromJarImpl.class})
@TestPropertySource(locations = "../application.properties")
public class SyncronizerIntegrationTest {
String schemaRegistryUrl = "http://mock:8081";
@Autowired
private CdlcfStreamsTopology cdlcfStreamsTopology;
private GenericDatumWriter<GenericRecord> datumWriter;
MockSchemaRegistryClient mockSchemaRegistryClient = new MockSchemaRegistryClient();
@Value("${cdlcf-mapper.topics.unmapped-cdlcf}") String unmappedCdlcfTopic;
@Value("${cdlcf-mapper.topics.mapped-cdlcf}") String mappedCdlcfTopic;
@Value("${cdlcf.topics.logs}") String logsTopic;
@Test
void integrationTest() throws Exception {
Properties fakeProps = new Properties();
fakeProps.setProperty(StreamsConfig.APPLICATION_ID_CONFIG, "streamsTest");
fakeProps.setProperty(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "dummy:1234");
fakeProps.setProperty(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());
fakeProps.setProperty(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, GenericAvroSerde.class.getName());
fakeProps.setProperty("value.serializer", KafkaAvroSerializer.class.getName());
fakeProps.setProperty(KafkaAvroSerializerConfig.SCHEMA_REGISTRY_URL_CONFIG, "url"); //If records are produced will try to register the record in the schemaRegistry
StreamsBuilder kStreamBuilder = new StreamsBuilder();
int idSchema = mockSchemaRegistryClient.register(getSubjectName("topic",false),Tracking.getClassSchema());
Serde<GenericRecord> avroSerde = getAvroSerde(mockSchemaRegistryClient);
ConsumerRecordFactory<String, String> recordFactory = new ConsumerRecordFactory<>(new StringSerializer(), new StringSerializer());
String lineContent="lineContent";
TopologyTestDriver testDriver = new TopologyTestDriver(cdlcfStreamsTopology.getTopology(),fakeProps);
testDriver.pipeInput(recordFactory.create(unmappedCdlcfTopic,"CDLCF_20180903_125115009", lineContent));
}
抛出异常(显然是因为没有启动 schemaRegistry)
org.apache.kafka.streams.errors.StreamsException: Exception caught in
process. taskId=0_0, processor=KSTREAM-SOURCE-0000000002, topic=test, partition=0, offset=0
at org.apache.kafka.streams.processor.internals.StreamTask.process(StreamTask.java:304)
at org.apache.kafka.streams.TopologyTestDriver.pipeInput(TopologyTestDriver.java:393)
Caused by: org.apache.kafka.common.errors.SerializationException: Error serializing Avro message
Caused by: java.net.ConnectException: Connection refused (Connection refused)
at java.net.PlainSocketImpl.socketConnect(Native Method)
at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:350)
at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206)
at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188)
at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
at java.net.Socket.connect(Socket.java:589)
at java.net.Socket.connect(Socket.java:538)
at sun.net.NetworkClient.doConnect(NetworkClient.java:180)
at sun.net.www.http.HttpClient.openServer(HttpClient.java:463)
at sun.net.www.http.HttpClient.openServer(HttpClient.java:558)
at sun.net.www.http.HttpClient.<init>(HttpClient.java:242)
at sun.net.www.http.HttpClient.New(HttpClient.java:339)
at sun.net.www.http.HttpClient.New(HttpClient.java:357)
at sun.net.www.protocol.http.HttpURLConnection.getNewHttpClient(HttpURLConnection.java:1220)
at sun.net.www.protocol.http.HttpURLConnection.plainConnect0(HttpURLConnection.java:1156)
at sun.net.www.protocol.http.HttpURLConnection.plainConnect(HttpURLConnection.java:1050)
at sun.net.www.protocol.http.HttpURLConnection.connect(HttpURLConnection.java:984)
at sun.net.www.protocol.http.HttpURLConnection.getOutputStream0(HttpURLConnection.java:1334)
at sun.net.www.protocol.http.HttpURLConnection.getOutputStream(HttpURLConnection.java:1309)
at io.confluent.kafka.schemaregistry.client.rest.RestService.sendHttpRequest(RestService.java:172)
at io.confluent.kafka.schemaregistry.client.rest.RestService.httpRequest(RestService.java:229)
at io.confluent.kafka.schemaregistry.client.rest.RestService.registerSchema(RestService.java:320)
at io.confluent.kafka.schemaregistry.client.rest.RestService.registerSchema(RestService.java:312)
at io.confluent.kafka.schemaregistry.client.rest.RestService.registerSchema(RestService.java:307)
at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.registerAndGetId(CachedSchemaRegistryClient.java:114)
at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.register(CachedSchemaRegistryClient.java:153)
at io.confluent.kafka.serializers.AbstractKafkaAvroSerializer.serializeImpl(AbstractKafkaAvroSerializer.java:79)
at io.confluent.kafka.serializers.KafkaAvroSerializer.serialize(KafkaAvroSerializer.java:53)
at io.confluent.kafka.streams.serdes.avro.SpecificAvroSerializer.serialize(SpecificAvroSerializer.java:65)
at io.confluent.kafka.streams.serdes.avro.SpecificAvroSerializer.serialize(SpecificAvroSerializer.java:38)
at org.apache.kafka.streams.processor.internals.RecordCollectorImpl.send(RecordCollectorImpl.java:154)
at org.apache.kafka.streams.processor.internals.RecordCollectorImpl.send(RecordCollectorImpl.java:98)
at org.apache.kafka.streams.processor.internals.SinkNode.process(SinkNode.java:89)
at org.apache.kafka.streams.processor.internals.ProcessorContextImpl.forward(ProcessorContextImpl.java:143)
at org.apache.kafka.streams.processor.internals.ProcessorContextImpl.forward(ProcessorContextImpl.java:129)
at org.apache.kafka.streams.processor.internals.ProcessorContextImpl.forward(ProcessorContextImpl.java:90)
at org.apache.kafka.streams.kstream.internals.KStreamPassThrough$KStreamPassThroughProcessor.process(KStreamPassThrough.java:33)
at org.apache.kafka.streams.processor.internals.ProcessorNode$1.run(ProcessorNode.java:50)
at org.apache.kafka.streams.processor.internals.ProcessorNode.runAndMeasureLatency(ProcessorNode.java:244)
at org.apache.kafka.streams.processor.internals.ProcessorNode.process(ProcessorNode.java:133)
at org.apache.kafka.streams.processor.internals.ProcessorContextImpl.forward(ProcessorContextImpl.java:143)
at org.apache.kafka.streams.processor.internals.ProcessorContextImpl.forward(ProcessorContextImpl.java:122)
at org.apache.kafka.streams.kstream.internals.KStreamBranch$KStreamBranchProcessor.process(KStreamBranch.java:48)
at org.apache.kafka.streams.processor.internals.ProcessorNode$1.run(ProcessorNode.java:50)
at org.apache.kafka.streams.processor.internals.ProcessorNode.runAndMeasureLatency(ProcessorNode.java:244)
at org.apache.kafka.streams.processor.internals.ProcessorNode.process(ProcessorNode.java:133)
at org.apache.kafka.streams.processor.internals.ProcessorContextImpl.forward(ProcessorContextImpl.java:143)
at org.apache.kafka.streams.processor.internals.ProcessorContextImpl.forward(ProcessorContextImpl.java:126)
at org.apache.kafka.streams.processor.internals.ProcessorContextImpl.forward(ProcessorContextImpl.java:90)
at org.apache.kafka.streams.kstream.internals.KStreamFlatMap$KStreamFlatMapProcessor.process(KStreamFlatMap.java:42)
at org.apache.kafka.streams.processor.internals.ProcessorNode$1.run(ProcessorNode.java:50)
at org.apache.kafka.streams.processor.internals.ProcessorNode.runAndMeasureLatency(ProcessorNode.java:244)
at org.apache.kafka.streams.processor.internals.ProcessorNode.process(ProcessorNode.java:133)
at org.apache.kafka.streams.processor.internals.ProcessorContextImpl.forward(ProcessorContextImpl.java:143)
at org.apache.kafka.streams.processor.internals.ProcessorContextImpl.forward(ProcessorContextImpl.java:129)
at org.apache.kafka.streams.processor.internals.ProcessorContextImpl.forward(ProcessorContextImpl.java:90)
at org.apache.kafka.streams.processor.internals.SourceNode.process(SourceNode.java:87)
at org.apache.kafka.streams.processor.internals.StreamTask.process(StreamTask.java:288)
at org.apache.kafka.streams.TopologyTestDriver.pipeInput(TopologyTestDriver.java:393)
最佳答案
好的,感谢 Matthias,找到了一个可行的解决方案,但我会感谢一些提示,以改进此解决方法。因为我必须添加一个仅用于测试的方法(我不喜欢)。正如 Matthias 指出的那样,问题在于拓扑内部生成的 Serdes 并未指向模拟模式。所以我写了一个serdes setter,并设置了“mocked serdes”
解决方案代码在这里:
拓扑的 setter (想更改此...)
cdlcfStreamsTopology.setSerdes(trackinSerde, logSerde);
使用模拟架构创建 avro serdes
Serde<Tracking> trackinSerde = getAvroSerde(mockSchemaRegistryClient);
Serde<Log> logSerde = getAvroSerde(mockSchemaRegistryClient);
private <T extends SpecificRecord> Serde<T> getAvroSerde(SchemaRegistryClient schemaRegistryClient) {
OwnSpecificAvroSerde serde = new OwnSpecificAvroSerde(schemaRegistryClient,schemaRegistryUrl);
return serde;
}
我必须创建这个 OwnSpecificAvroSerde 才能通过构造函数传递模拟模式。为此,我必须创建一个与 avro 库同名的本地包,以访问具有架构构造函数的默认类。
package io.confluent.kafka.streams.serdes.avro;
public class OwnSpecificAvroSerde<T extends GenericRecord> extends GenericAvroSerde {
private String registryUrl;
// public OwnSpecificAvroSerde(String registryUrl) {
// this.registryUrl=registryUrl;
// }
public OwnSpecificAvroSerde(SchemaRegistryClient schemaRegistryClient,String registryUrl) {
super(schemaRegistryClient);
}
public <T> Serde<T> getAvroSerde(boolean isKey, MockSchemaRegistryClient mockSchemaRegistryClient) {
return Serdes.serdeFrom(getSerializer(isKey,mockSchemaRegistryClient), getDeserializer(isKey,mockSchemaRegistryClient));
}
private <T> Serializer<T> getSerializer(boolean isKey, MockSchemaRegistryClient mockSchemaRegistryClient) {
Map<String, Object> map = new HashMap<>();
map.put(KafkaAvroDeserializerConfig.AUTO_REGISTER_SCHEMAS, true);
map.put(KafkaAvroDeserializerConfig.SCHEMA_REGISTRY_URL_CONFIG, registryUrl);
Serializer<T> serializer = (Serializer) new KafkaAvroSerializer(mockSchemaRegistryClient);
serializer.configure(map, isKey);
return serializer;
}
private <T> Deserializer<T> getDeserializer(boolean key, MockSchemaRegistryClient mockSchemaRegistryClient) {
Map<String, Object> map = new HashMap<>();
map.put(KafkaAvroDeserializerConfig.SPECIFIC_AVRO_READER_CONFIG, "true");
map.put(KafkaAvroDeserializerConfig.SCHEMA_REGISTRY_URL_CONFIG, registryUrl);
Deserializer<T> deserializer = (Deserializer) new KafkaAvroDeserializer(mockSchemaRegistryClient);
deserializer.configure(map, key);
return deserializer;
}
}
重要的是,将模式注册到模拟模式注册表:
mockSchemaRegistryClient.register(getSubjectName(mappedCdlcfTopic,false),Tracking.getClassSchema());
mockSchemaRegistryClient.register(getSubjectName(logsTopic,false), Log.getClassSchema());
还必须从mockedSchema库导入getSubjectName
,以便生成与它们生成的相同的 key ,以查找架构ID。
static String getSubjectName(String topic, boolean isKey) {
return isKey ? topic + "-key" : topic + "-value";
}
关于java - 使用 MockSchemaRegistry 发布 TopologyTestDriver 时出现问题,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/52856612/
我不知道我的项目中的单元测试何时开始失败并出现以下错误: ProcessorStateException: Error opening store myStore at location aLocat
我有一个聚合在 KTable 上的拓扑。这是我创建的通用方法,用于根据我拥有的不同主题构建此拓扑。 public static KTable> groupTable(KTable table, Fu
我有一个聚合在 KTable 上的拓扑。这是我创建的通用方法,用于根据我拥有的不同主题构建此拓扑。 public static KTable> groupTable(KTable table, Fu
我遇到了 TopologyTestDriver 的问题,因为当拓扑尝试将记录发布到主题时,必须设置属性:KafkaAvroSerializerConfig.SCHEMA_REGISTRY_URL_CO
我正在尝试使用 TopologyTestDriver 测试 kafka 流。我正在分享代码片段和我面临的错误。 public class ToplogyTest extends AvroSourceJ
我有这个简单的流处理器 (不是消费者/生产者)使用 kafka 流活页夹。 @Bean fun processFoo():Function, KStream> { return Functio
我是一名优秀的程序员,十分优秀!