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Posted to issues@flink.apache.org by "Jordan Moore (Jira)" <ji...@apache.org> on 2022/01/19 23:34:00 UTC
[jira] [Updated] (FLINK-25711) OOM / buffer-overflow on KafkaIO.read using Confluent + AvroDeserializer SpecificRecord
[ https://issues.apache.org/jira/browse/FLINK-25711?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Jordan Moore updated FLINK-25711:
---------------------------------
Summary: OOM / buffer-overflow on KafkaIO.read using Confluent + AvroDeserializer SpecificRecord (was: OOM / buffer-overflow on KafkaIO.read using Confluent Avro SpecificRecord)
> OOM / buffer-overflow on KafkaIO.read using Confluent + AvroDeserializer SpecificRecord
> ---------------------------------------------------------------------------------------
>
> Key: FLINK-25711
> URL: https://issues.apache.org/jira/browse/FLINK-25711
> Project: Flink
> Issue Type: Bug
> Components: Connectors / Kafka
> Reporter: Jordan Moore
> Priority: Major
> Attachments: Screen Shot 2022-01-19 at 5.30.51 PM.png
>
>
> *Details* - Trying to use a generated Avro SpecificRecord subclass with KafkaIO.read (I was able to use KafkaIO.write fine with it).
> *Problem* - OOM happens while constructing the deserializer with SpecificRecord, but not GenericRecord. I am unable to use my generated class because I get errors saying it cannot be cast to a GenericRecord (even though it extends/implements it though a chain of other classes)
> {code}
> 2022-01-19 17:17:47,163 DEBUG [main] options.PipelineOptionsFactory$Builder (PipelineOptionsFactory.java:325) - Provided Arguments: {}
> 2022-01-19 17:17:47,345 DEBUG [main] sdk.Pipeline (Pipeline.java:158) - Creating Pipeline#817686795
> 2022-01-19 17:17:47,382 DEBUG [main] sdk.Pipeline (Pipeline.java:544) - Adding KafkaIO.Read [KafkaIO.TypedWithoutMetadata] to Pipeline#817686795
> 2022-01-19 17:17:47,383 DEBUG [main] sdk.Pipeline (Pipeline.java:544) - Adding KafkaIO.Read to Pipeline#817686795
> 2022-01-19 17:17:47,445 DEBUG [main] coders.CoderRegistry (CoderRegistry.java:635) - Coder for [B: ByteArrayCoder
> java.lang.OutOfMemoryError: Java heap space
> Dumping heap to /tmp/beam-dump ...
> Heap dump file created [1086964638 bytes in 1.315 secs]
> Exception in thread "main" java.lang.OutOfMemoryError: Java heap space
> at io.confluent.kafka.schemaregistry.utils.BoundedConcurrentHashMap$HashEntry.newArray(BoundedConcurrentHashMap.java:247)
> at io.confluent.kafka.schemaregistry.utils.BoundedConcurrentHashMap$Segment.<init>(BoundedConcurrentHashMap.java:1200)
> at io.confluent.kafka.schemaregistry.utils.BoundedConcurrentHashMap.<init>(BoundedConcurrentHashMap.java:1637)
> at io.confluent.kafka.schemaregistry.utils.BoundedConcurrentHashMap.<init>(BoundedConcurrentHashMap.java:1670)
> at io.confluent.kafka.schemaregistry.utils.BoundedConcurrentHashMap.<init>(BoundedConcurrentHashMap.java:1654)
> at io.confluent.kafka.schemaregistry.utils.BoundedConcurrentHashMap.<init>(BoundedConcurrentHashMap.java:1683)
> at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.<init>(CachedSchemaRegistryClient.java:181)
> at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.<init>(CachedSchemaRegistryClient.java:170)
> at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.<init>(CachedSchemaRegistryClient.java:136)
> at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.<init>(CachedSchemaRegistryClient.java:98)
> at org.apache.beam.sdk.io.kafka.ConfluentSchemaRegistryDeserializerProvider.lambda$of$282520f2$1(ConfluentSchemaRegistryDeserializerProvider.java:93)
> at org.apache.beam.sdk.io.kafka.ConfluentSchemaRegistryDeserializerProvider$$Lambda$70/1932332324.apply(Unknown Source)
> at org.apache.beam.sdk.io.kafka.ConfluentSchemaRegistryDeserializerProvider.getSchemaRegistryClient(ConfluentSchemaRegistryDeserializerProvider.java:134)
> at org.apache.beam.sdk.io.kafka.ConfluentSchemaRegistryDeserializerProvider.getSchemaMetadata(ConfluentSchemaRegistryDeserializerProvider.java:126)
> at org.apache.beam.sdk.io.kafka.ConfluentSchemaRegistryDeserializerProvider.getAvroSchema(ConfluentSchemaRegistryDeserializerProvider.java:120)
> at org.apache.beam.sdk.io.kafka.ConfluentSchemaRegistryDeserializerProvider.getCoder(ConfluentSchemaRegistryDeserializerProvider.java:116)
> at org.apache.beam.sdk.io.kafka.KafkaIO$Read.getValueCoder(KafkaIO.java:1476)
> at org.apache.beam.sdk.io.kafka.KafkaIO$Read.expand(KafkaIO.java:1256)
> at org.apache.beam.sdk.io.kafka.KafkaIO$Read.expand(KafkaIO.java:605)
> at org.apache.beam.sdk.Pipeline.applyInternal(Pipeline.java:548)
> at org.apache.beam.sdk.Pipeline.applyTransform(Pipeline.java:482)
> at org.apache.beam.sdk.values.PBegin.apply(PBegin.java:44)
> at org.apache.beam.sdk.io.kafka.KafkaIO$TypedWithoutMetadata.expand(KafkaIO.java:1555)
> at org.apache.beam.sdk.io.kafka.KafkaIO$TypedWithoutMetadata.expand(KafkaIO.java:1529)
> at org.apache.beam.sdk.Pipeline.applyInternal(Pipeline.java:548)
> at org.apache.beam.sdk.Pipeline.applyTransform(Pipeline.java:482)
> at org.apache.beam.sdk.values.PBegin.apply(PBegin.java:44)
> at org.apache.beam.sdk.Pipeline.apply(Pipeline.java:177)
> at cricket.jmoore.jmx.Main.main(Main.java:98)
> {code}
> Small example with Kafka and Confluent Schema Registry locally
> {code}
> public static void main(String[] args) throws Exception {
> PipelineOptions options = PipelineOptionsFactory.fromArgs(args).create();
> // Pipeline p = getWritePipeline(options);
> Pipeline p = Pipeline.create(options);
> final String topic = "foobar-2";
> final SubjectNameStrategy subjectStrategy = new TopicNameStrategy();
> final String valueSubject = subjectStrategy.subjectName(topic, false, null); // schema not used
> final ConfluentSchemaRegistryDeserializerProvider<SpecificRecord> valueProvider =
> ConfluentSchemaRegistryDeserializerProvider.of("http://localhost:8081", valueSubject, null,
> // TODO: This doesn't seem to work to get the SpecificRecord subclass in the apply function below
> ImmutableMap.of(KafkaAvroDeserializerConfig.SPECIFIC_AVRO_READER_CONFIG, true));
> p
> .apply(KafkaIO.<byte[], SpecificRecord>read()
> .withBootstrapServers("localhost:9092")
> .withTopic(topic)
> .withKeyDeserializer(ByteArrayDeserializer.class) // Don't have any keys, but this is required
> .withValueDeserializer(valueProvider)
> .withConsumerConfigUpdates(ImmutableMap.of(
> ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, OffsetResetStrategy.EARLIEST.name().toLowerCase(Locale.ROOT),
> ConsumerConfig.GROUP_ID_CONFIG, "beam-" + UUID.randomUUID()
> ))
> .withoutMetadata()
> ).apply(Values.create())
> // TODO: How to get SpecificRecord subclass?
> .apply(MapElements.via(new SimpleFunction<SpecificRecord, Void>() {
> @Override
> public Void apply(SpecificRecord input) {
> log.info("{}", input);
> return null;
> }
> }));
> p.run().waitUntilFinish();
> }
> {code}
> Avro schema that I am using, which generates a class Product.java that I would like to use in-place of SpecificRecord above.
> {code}
> {"type":"record","name":"Product","namespace":"cricket.jmoore.avro","fields":[{"name":"name","type":"string"}]}
> {code}
> *Flink Version*: 2.35.0
> Dependencies:
> {code}
> <dependency>
> <groupId>org.apache.kafka</groupId>
> <artifactId>kafka-clients</artifactId>
> <version>2.8.1</version>
> </dependency>
> <dependency>
> <groupId>io.confluent</groupId>
> <artifactId>kafka-avro-serializer</artifactId>
> <version>7.0.1</version>
> </dependency>
> <dependency>
> <groupId>org.apache.beam</groupId>
> <artifactId>beam-runners-direct-java</artifactId>
> <version>${beam.version}</version> <!-- 2.35.0 -->
> <scope>provided</scope>
> </dependency>
> <dependency>
> <groupId>org.apache.beam</groupId>
> <artifactId>beam-sdks-java-core</artifactId>
> <version>${beam.version}</version>
> </dependency>
> {code}
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