You are viewing a plain text version of this content. The canonical link for it is here.
Posted to jira@kafka.apache.org by "Tomonari Yamashita (Jira)" <ji...@apache.org> on 2023/06/19 15:02:00 UTC

[jira] [Created] (KAFKA-15108) task.timeout.ms doesn't work for the stream producer

Tomonari Yamashita created KAFKA-15108:
------------------------------------------

             Summary: task.timeout.ms doesn't work for the stream producer
                 Key: KAFKA-15108
                 URL: https://issues.apache.org/jira/browse/KAFKA-15108
             Project: Kafka
          Issue Type: Bug
          Components: streams
    Affects Versions: 3.5.0
            Reporter: Tomonari Yamashita


[Problem]
- task.timeout.ms doesn't work for the stream producer
 -- Kafka Streams upgrade guide says, "Kafka Streams is now handling TimeoutException thrown by the consumer, producer, and admin client."(1) and "To bound how long Kafka Streams retries a task, you can set task.timeout.ms (default is 5 minutes)."(1).
 -- However, it doesn't look like task.timeout.ms is working for the stream producer, then it seems to keep retrying forever.

[Environment]
- Kafka Streams 3.5.0

[Reproduce procedure]
# Create "input-topic" topic
# Put several messages on "input-topic"
# DONT create "output-topic" topic, to fire TimeException 
# Create the following simple Kafka streams program; this program just transfers messages from "input-topic" to "output-topic".
-- {code}
Properties props = new Properties();
props.put(StreamsConfig.APPLICATION_ID_CONFIG, "java-kafka-streams");
props.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
props.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG,"org.apache.kafka.common.serialization.Serdes$StringSerde");
props.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG,"org.apache.kafka.common.serialization.Serdes$StringSerde");
props.put(StreamsConfig.DEFAULT_PRODUCTION_EXCEPTION_HANDLER_CLASS_CONFIG,"com.example.CustomProductionExceptionHandler"); // not needed

StreamsBuilder builder = new StreamsBuilder();

builder.stream("input-topic", Consumed.with(Serdes.String(), Serdes.String()))
        .to("output-topic", Produced.with(Serdes.String(), Serdes.String()));

KafkaStreams streams = new KafkaStreams(builder.build(), props);
{code}
# Wait for task.timeout.ms (default is 5 minutes).
## If the debug log is enabled, a large number of UNKNOWN_TOPIC_OR_PARTITIONs will be logged.
## And every one minute, TimeException will be generated (2)
# ==> However, it doesn't look like task.timeout.ms is working for the stream producer, then it seems to keep retrying forever.
# ==> My excepted behavior is that task.timeout.ms is working, and the client will be shutdown because the default behavior is  StreamThreadExceptionResponse.SHUTDOWN_CLIENT when an exception is thrown.

[As far as my investigation]
- TimeException thrown by the stream producer is replaced with TaskCorruptedException (3)
- And after that it does not appear to be executing code that contains logic related to task.timeout.ms.

(1) Kafka Streams upgrade guide
    https://kafka.apache.org/35/documentation/streams/upgrade-guide
{code}
Kafka Streams is now handling TimeoutException thrown by the consumer, producer, and admin client. If a timeout occurs on a task, Kafka Streams moves to the next task and retries to make progress on the failed task in the next iteration. To bound how long Kafka Streams retries a task, you can set task.timeout.ms (default is 5 minutes). If a task does not make progress within the specified task timeout, which is tracked on a per-task basis, Kafka Streams throws a TimeoutException (cf. KIP-572).
{code}

(2) TimeoutException occurs
{code:java}
2023-06-19 19:51:26 WARN  NetworkClient:1145 - [Producer clientId=java-kafka-streams-8dd73f1e-f9b6-4058-895f-448143c4e5cf-StreamThread-1-producer] Error while fetching metadata with correlation id 1065 : {output-topic=UNKNOWN_TOPIC_OR_PARTITION}
2023-06-19 19:51:26 DEBUG Metadata:363 - [Producer clientId=java-kafka-streams-8dd73f1e-f9b6-4058-895f-448143c4e5cf-StreamThread-1-producer] Requesting metadata update for topic output-topic due to error UNKNOWN_TOPIC_OR_PARTITION
2023-06-19 19:51:26 DEBUG Metadata:291 - [Producer clientId=java-kafka-streams-8dd73f1e-f9b6-4058-895f-448143c4e5cf-StreamThread-1-producer] Updated cluster metadata updateVersion 1064 to MetadataCache{clusterId='ulBlb0C3QdaurHgFmPLYew', nodes={0=a86b6e81dded542bb867337e34fa7954-1776321381.ap-northeast-1.elb.amazonaws.com:9094 (id: 0 rack: null), 1=a99402a2de0054c2a96e87075df0f545-254291543.ap-northeast-1.elb.amazonaws.com:9094 (id: 1 rack: null), 2=a82f92d2e86d145b48447de89694d879-1900034172.ap-northeast-1.elb.amazonaws.com:9094 (id: 2 rack: null)}, partitions=[], controller=a82f92d2e86d145b48447de89694d879-1900034172.ap-northeast-1.elb.amazonaws.com:9094 (id: 2 rack: null)}
2023-06-19 19:51:26 DEBUG KafkaProducer:1073 - [Producer clientId=java-kafka-streams-8dd73f1e-f9b6-4058-895f-448143c4e5cf-StreamThread-1-producer] Exception occurred during message send:
org.apache.kafka.common.errors.TimeoutException: Topic output-topic not present in metadata after 60000 ms.
2023-06-19 19:51:26 ERROR RecordCollectorImpl:322 - stream-thread [java-kafka-streams-8dd73f1e-f9b6-4058-895f-448143c4e5cf-StreamThread-1] stream-task [0_0] Error encountered sending record to topic output-topic for task 0_0 due to:
org.apache.kafka.common.errors.TimeoutException: Topic output-topic not present in metadata after 60000 ms.
The broker is either slow or in bad state (like not having enough replicas) in responding the request, or the connection to broker was interrupted sending the request or receiving the response. 
Consider overwriting `max.block.ms` and /or `delivery.timeout.ms` to a larger value to wait longer for such scenarios and avoid timeout errors
org.apache.kafka.common.errors.TimeoutException: Topic output-topic not present in metadata after 60000 ms.
2023-06-19 19:51:26 DEBUG StreamThread:825 - stream-thread [java-kafka-streams-8dd73f1e-f9b6-4058-895f-448143c4e5cf-StreamThread-1] Processed 1 records with 1 iterations; invoking punctuators if necessary
2023-06-19 19:51:26 DEBUG StreamThread:837 - stream-thread [java-kafka-streams-8dd73f1e-f9b6-4058-895f-448143c4e5cf-StreamThread-1] 0 punctuators ran.
2023-06-19 19:51:26 DEBUG StreamThread:1117 - stream-thread [java-kafka-streams-8dd73f1e-f9b6-4058-895f-448143c4e5cf-StreamThread-1] Committing all active tasks [0_0] and standby tasks [] since 60021ms has elapsed (commit interval is 30000ms)
2023-06-19 19:51:26 DEBUG RecordCollectorImpl:345 - stream-thread [java-kafka-streams-8dd73f1e-f9b6-4058-895f-448143c4e5cf-StreamThread-1] stream-task [0_0] Flushing record collector
2023-06-19 19:51:26 WARN  StreamThread:626 - stream-thread [java-kafka-streams-8dd73f1e-f9b6-4058-895f-448143c4e5cf-StreamThread-1] Detected the states of tasks [0_0] are corrupted. Will close the task as dirty and re-create and bootstrap from scratch.
org.apache.kafka.streams.errors.TaskCorruptedException: Tasks [0_0] are corrupted and hence need to be re-initialized
	at org.apache.kafka.streams.processor.internals.RecordCollectorImpl.recordSendError(RecordCollectorImpl.java:310) ~[kafka-streams-3.5.0.jar:?]
	at org.apache.kafka.streams.processor.internals.RecordCollectorImpl.lambda$send$1(RecordCollectorImpl.java:284) ~[kafka-streams-3.5.0.jar:?]
	at org.apache.kafka.clients.producer.KafkaProducer.doSend(KafkaProducer.java:1077) ~[kafka-clients-3.5.0.jar:?]
	at org.apache.kafka.clients.producer.KafkaProducer.send(KafkaProducer.java:962) ~[kafka-clients-3.5.0.jar:?]
	at org.apache.kafka.streams.processor.internals.StreamsProducer.send(StreamsProducer.java:261) ~[kafka-streams-3.5.0.jar:?]
	at org.apache.kafka.streams.processor.internals.RecordCollectorImpl.send(RecordCollectorImpl.java:253) ~[kafka-streams-3.5.0.jar:?]
	at org.apache.kafka.streams.processor.internals.RecordCollectorImpl.send(RecordCollectorImpl.java:175) ~[kafka-streams-3.5.0.jar:?]
	at org.apache.kafka.streams.processor.internals.SinkNode.process(SinkNode.java:85) ~[kafka-streams-3.5.0.jar:?]
	at org.apache.kafka.streams.processor.internals.ProcessorContextImpl.forwardInternal(ProcessorContextImpl.java:290) ~[kafka-streams-3.5.0.jar:?]
	at org.apache.kafka.streams.processor.internals.ProcessorContextImpl.forward(ProcessorContextImpl.java:269) ~[kafka-streams-3.5.0.jar:?]
	at org.apache.kafka.streams.processor.internals.ProcessorContextImpl.forward(ProcessorContextImpl.java:228) ~[kafka-streams-3.5.0.jar:?]
	at org.apache.kafka.streams.processor.internals.SourceNode.process(SourceNode.java:84) ~[kafka-streams-3.5.0.jar:?]
	at org.apache.kafka.streams.processor.internals.StreamTask.lambda$doProcess$1(StreamTask.java:810) ~[kafka-streams-3.5.0.jar:?]
	at org.apache.kafka.streams.processor.internals.metrics.StreamsMetricsImpl.maybeMeasureLatency(StreamsMetricsImpl.java:872) ~[kafka-streams-3.5.0.jar:?]
	at org.apache.kafka.streams.processor.internals.StreamTask.doProcess(StreamTask.java:810) ~[kafka-streams-3.5.0.jar:?]
	at org.apache.kafka.streams.processor.internals.StreamTask.process(StreamTask.java:741) ~[kafka-streams-3.5.0.jar:?]
	at org.apache.kafka.streams.processor.internals.TaskExecutor.processTask(TaskExecutor.java:97) ~[kafka-streams-3.5.0.jar:?]
	at org.apache.kafka.streams.processor.internals.TaskExecutor.process(TaskExecutor.java:78) ~[kafka-streams-3.5.0.jar:?]
	at org.apache.kafka.streams.processor.internals.TaskManager.process(TaskManager.java:1747) ~[kafka-streams-3.5.0.jar:?]
	at org.apache.kafka.streams.processor.internals.StreamThread.runOnce(StreamThread.java:807) ~[kafka-streams-3.5.0.jar:?]
	at org.apache.kafka.streams.processor.internals.StreamThread.runLoop(StreamThread.java:617) [kafka-streams-3.5.0.jar:?]
	at org.apache.kafka.streams.processor.internals.StreamThread.run(StreamThread.java:579) [kafka-streams-3.5.0.jar:?]
2023-06-19 19:51:26 DEBUG TaskExecutor:176 - stream-thread [java-kafka-streams-8dd73f1e-f9b6-4058-895f-448143c4e5cf-StreamThread-1] Committing task offsets {}
2023-06-19 19:51:26 DEBUG RecordCollectorImpl:345 - stream-thread [java-kafka-streams-8dd73f1e-f9b6-4058-895f-448143c4e5cf-StreamThread-1] stream-task [0_0] Flushing record collector
2023-06-19 19:51:26 DEBUG StreamTask:419 - stream-thread [java-kafka-streams-8dd73f1e-f9b6-4058-895f-448143c4e5cf-StreamThread-1] task [0_0] Prepared RUNNING task for committing
2023-06-19 19:51:26 INFO  StreamTask:1235 - stream-thread [java-kafka-streams-8dd73f1e-f9b6-4058-895f-448143c4e5cf-StreamThread-1] task [0_0] Suspended from RUNNING
2023-06-19 19:51:26 DEBUG StreamTask:898 - stream-thread [java-kafka-streams-8dd73f1e-f9b6-4058-895f-448143c4e5cf-StreamThread-1] task [0_0] Checkpointable offsets {input-topic-0=0}
2023-06-19 19:51:26 DEBUG ProcessorStateManager:658 - stream-thread [java-kafka-streams-8dd73f1e-f9b6-4058-895f-448143c4e5cf-StreamThread-1] stream-task [0_0] Writing checkpoint: {} for task 0_0
2023-06-19 19:51:26 DEBUG StreamTask:504 - stream-thread [java-kafka-streams-8dd73f1e-f9b6-4058-895f-448143c4e5cf-StreamThread-1] task [0_0] Finalized commit for SUSPENDED task with enforce checkpoint true
2023-06-19 19:51:26 DEBUG ProcessorStateManager:544 - stream-thread [java-kafka-streams-8dd73f1e-f9b6-4058-895f-448143c4e5cf-StreamThread-1] stream-task [0_0] Closing its state manager and all the registered state stores: {}
2023-06-19 19:51:26 INFO  RecordCollectorImpl:373 - stream-thread [java-kafka-streams-8dd73f1e-f9b6-4058-895f-448143c4e5cf-StreamThread-1] stream-task [0_0] Closing record collector dirty
2023-06-19 19:51:26 INFO  StreamTask:555 - stream-thread [java-kafka-streams-8dd73f1e-f9b6-4058-895f-448143c4e5cf-StreamThread-1] task [0_0] Closed dirty
{code}

(3) TimeException thrown by the stream producer is replaced with TaskCorruptedException
   
https://github.com/apache/kafka/blob/c97b88d5db4de28d9f51bb11fb71ddd6217c7dda/streams/src/main/java/org/apache/kafka/streams/processor/internals/RecordCollectorImpl.java#L310



--
This message was sent by Atlassian Jira
(v8.20.10#820010)