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Posted to issues@flink.apache.org by "Hang Ruan (Jira)" <ji...@apache.org> on 2021/08/18 12:42:00 UTC
[jira] [Comment Edited] (FLINK-23854) KafkaSink error when restart
from the checkpoint with a lower parallelism by exactly-once guarantee
[ https://issues.apache.org/jira/browse/FLINK-23854?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17401021#comment-17401021 ]
Hang Ruan edited comment on FLINK-23854 at 8/18/21, 12:41 PM:
--------------------------------------------------------------
After adding log in StatefulSinkWriterStateHandler class, the distribution of the operator state changes as follow.
||parallelism 4(before)||parallelism 2(after)||
|subTask0 -> state0
subTask1 -> state1
subTask2 -> state2
subTask3 -> state3|subTask0 -> state0 & state1
subTask1 - > state2 & state3|
Here are the log and the reult after changing to 2 parallelism.
||Add log in initializeState method of StatefulSinkWriterStateHandle||the log of subtask0||the log of subtask1||
|{code:java}
public List<WriterStateT> initializeState(StateInitializationContext context) throws Exception {
final ListState<byte[]> rawState =
context.getOperatorStateStore().getListState(WRITER_RAW_STATES_DESC);
writerState =
new SimpleVersionedListState<>(rawState, writerStateSimpleVersionedSerializer);
final List<WriterStateT> writerStates = CollectionUtil.iterableToList(writerState.get());
final List<WriterStateT> states = new ArrayList<>(writerStates);
// add log
for(WriterStateT stateT : states) {
LOG.info("Stateful Sink Writer state handler:" + stateT.toString());
}
for (String previousSinkStateName : previousSinkStateNames) {
......
}
return states;
}
{code}|2021-08-18 20:02:04,214 INFO org.apache.flink.streaming.runtime.operators.sink.StatefulSinkWriterStateHandler [] - Stateful Sink Writer state handler:KafkaWriterState\{subtaskId=1, transactionalIdOffset=8, transactionalIdPrefix='tp-test-'}
2021-08-18 20:02:04,214 INFO org.apache.flink.streaming.runtime.operators.sink.StatefulSinkWriterStateHandler [] - Stateful Sink Writer state handler:KafkaWriterState\{subtaskId=0, transactionalIdOffset=8, transactionalIdPrefix='tp-test-'}|2021-08-18 20:02:04,220 INFO org.apache.flink.streaming.runtime.operators.sink.StatefulSinkWriterStateHandler [] - Stateful Sink Writer state handler:KafkaWriterState\{subtaskId=2, transactionalIdOffset=8, transactionalIdPrefix='tp-test-'}
2021-08-18 20:02:04,220 INFO org.apache.flink.streaming.runtime.operators.sink.StatefulSinkWriterStateHandler [] - Stateful Sink Writer state handler:KafkaWriterState\{subtaskId=3, transactionalIdOffset=8, transactionalIdPrefix='tp-test-'}|
was (Author: ruanhang1993):
After adding log in StatefulSinkWriterStateHandler class, the distribution of the operator state as follows.
||parallelism 4||parallelism 2||
|subTask0 -> state0
subTask1 -> state1
subTask2 -> state2
subTask3 -> state3|subTask0 -> state0 & state1
subTask1 - > state2 & state3|
Here are the log and the reult.
||Add log in initializeState method of StatefulSinkWriterStateHandle||the log of subtask0||the log of subtask1||
|{code:java}
public List<WriterStateT> initializeState(StateInitializationContext context) throws Exception {
final ListState<byte[]> rawState =
context.getOperatorStateStore().getListState(WRITER_RAW_STATES_DESC);
writerState =
new SimpleVersionedListState<>(rawState, writerStateSimpleVersionedSerializer);
final List<WriterStateT> writerStates = CollectionUtil.iterableToList(writerState.get());
final List<WriterStateT> states = new ArrayList<>(writerStates);
// add log
for(WriterStateT stateT : states) {
LOG.info("Stateful Sink Writer state handler:" + stateT.toString());
}
for (String previousSinkStateName : previousSinkStateNames) {
......
}
return states;
}
{code}|2021-08-18 20:02:04,214 INFO org.apache.flink.streaming.runtime.operators.sink.StatefulSinkWriterStateHandler [] - Stateful Sink Writer state handler:KafkaWriterState\{subtaskId=1, transactionalIdOffset=8, transactionalIdPrefix='tp-test-'}
2021-08-18 20:02:04,214 INFO org.apache.flink.streaming.runtime.operators.sink.StatefulSinkWriterStateHandler [] - Stateful Sink Writer state handler:KafkaWriterState\{subtaskId=0, transactionalIdOffset=8, transactionalIdPrefix='tp-test-'}|2021-08-18 20:02:04,220 INFO org.apache.flink.streaming.runtime.operators.sink.StatefulSinkWriterStateHandler [] - Stateful Sink Writer state handler:KafkaWriterState\{subtaskId=2, transactionalIdOffset=8, transactionalIdPrefix='tp-test-'}
2021-08-18 20:02:04,220 INFO org.apache.flink.streaming.runtime.operators.sink.StatefulSinkWriterStateHandler [] - Stateful Sink Writer state handler:KafkaWriterState\{subtaskId=3, transactionalIdOffset=8, transactionalIdPrefix='tp-test-'}|
> KafkaSink error when restart from the checkpoint with a lower parallelism by exactly-once guarantee
> ---------------------------------------------------------------------------------------------------
>
> Key: FLINK-23854
> URL: https://issues.apache.org/jira/browse/FLINK-23854
> Project: Flink
> Issue Type: Bug
> Components: Connectors / Kafka
> Affects Versions: 1.14.0
> Reporter: Hang Ruan
> Priority: Blocker
> Labels: release-testing
>
> The KafkaSink throws the exception when restarted with a lower parallelism and the exactly-once guarantee. The exception is like this.
> {code:java}
> // code placeholder
> java.lang.IllegalStateException: Internal error: It is expected that state from previous executions is distributed to the same subtask id. at org.apache.flink.util.Preconditions.checkState(Preconditions.java:193) at org.apache.flink.connector.kafka.sink.KafkaWriter.recoverAndInitializeState(KafkaWriter.java:178) at org.apache.flink.connector.kafka.sink.KafkaWriter.<init>(KafkaWriter.java:130) at org.apache.flink.connector.kafka.sink.KafkaSink.createWriter(KafkaSink.java:99) at org.apache.flink.streaming.runtime.operators.sink.SinkOperator.initializeState(SinkOperator.java:134) at org.apache.flink.streaming.api.operators.StreamOperatorStateHandler.initializeOperatorState(StreamOperatorStateHandler.java:118) at org.apache.flink.streaming.api.operators.AbstractStreamOperator.initializeState(AbstractStreamOperator.java:286) at org.apache.flink.streaming.runtime.tasks.RegularOperatorChain.initializeStateAndOpenOperators(RegularOperatorChain.java:109) at org.apache.flink.streaming.runtime.tasks.StreamTask.restoreGates(StreamTask.java:690) at org.apache.flink.streaming.runtime.tasks.StreamTaskActionExecutor$1.call(StreamTaskActionExecutor.java:55) at org.apache.flink.streaming.runtime.tasks.StreamTask.executeRestore(StreamTask.java:666) at org.apache.flink.streaming.runtime.tasks.StreamTask.runWithCleanUpOnFail(StreamTask.java:785) at org.apache.flink.streaming.runtime.tasks.StreamTask.restore(StreamTask.java:638) at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:766) at org.apache.flink.runtime.taskmanager.Task.run(Task.java:572) at java.lang.Thread.run(Thread.java:748) Suppressed: java.lang.NullPointerException at org.apache.flink.streaming.runtime.operators.sink.SinkOperator.close(SinkOperator.java:195) at org.apache.flink.streaming.runtime.tasks.StreamOperatorWrapper.close(StreamOperatorWrapper.java:141) at org.apache.flink.streaming.runtime.tasks.RegularOperatorChain.closeAllOperators(RegularOperatorChain.java:127) at org.apache.flink.streaming.runtime.tasks.StreamTask.closeAllOperators(StreamTask.java:1028) at org.apache.flink.streaming.runtime.tasks.StreamTask.runAndSuppressThrowable(StreamTask.java:1014) at org.apache.flink.streaming.runtime.tasks.StreamTask.cleanUpInvoke(StreamTask.java:927) at org.apache.flink.streaming.runtime.tasks.StreamTask.runWithCleanUpOnFail(StreamTask.java:797) ... 4 more
> {code}
> I start the kafka cluster(kafka_2.13-2.8.0) and the flink cluster in my own mac. I change the parallelism from 4 to 2 and restart the job from some completed checkpoint. Then the error occurs.
> And the cli command and the code are as follows.
> {code:java}
> // cli command
> ./bin/flink run -d -c com.test.KafkaExactlyOnceScaleDownTest -s /Users/test/checkpointDir/ExactlyOnceTest1/67105fcc1724e147fc6208af0dd90618/chk-1 /Users/test/project/self/target/test.jar
> {code}
> {code:java}
> public class KafkaExactlyOnceScaleDownTest {
> public static void main(String[] args) throws Exception {
> final String kafkaSourceTopic = "flinkSourceTest";
> final String kafkaSinkTopic = "flinkSinkExactlyTest1";
> final String groupId = "ExactlyOnceTest1";
> final String brokers = "localhost:9092";
> final String ckDir = "file:///Users/test/checkpointDir/" + groupId;
> final StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
> env.enableCheckpointing(60000);
> env.getCheckpointConfig().setCheckpointingMode(CheckpointingMode.EXACTLY_ONCE);
> env.getCheckpointConfig().enableExternalizedCheckpoints(CheckpointConfig.ExternalizedCheckpointCleanup.RETAIN_ON_CANCELLATION);
> env.getCheckpointConfig().setCheckpointStorage(ckDir);
> env.setParallelism(4);
> KafkaSource<String> source = KafkaSource.<String>builder()
> .setBootstrapServers(brokers)
> .setTopics(kafkaSourceTopic)
> .setGroupId(groupId)
> .setProperty(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest")
> .setValueOnlyDeserializer(new SimpleStringSchema())
> .build();
> DataStream<String> flintstones = env.fromSource(source, WatermarkStrategy.noWatermarks(), "Kafka Source");
> DataStream<String> adults = flintstones.filter(s -> s != null && s.length() > 2);
> Properties props = new Properties();
> props.setProperty("transaction.timeout.ms", "900000");
> adults.sinkTo(KafkaSink.<String>builder()
> .setBootstrapServers(brokers)
> .setDeliverGuarantee(DeliveryGuarantee.EXACTLY_ONCE)
> .setTransactionalIdPrefix("tp-test-")
> .setKafkaProducerConfig(props)
> .setRecordSerializer(new SelfSerializationSchema(kafkaSinkTopic, new SimpleStringSchema()))
> .build());
> env.execute("ScaleDownTest");
> }
> static class SelfSerializationSchema implements KafkaRecordSerializationSchema<String> { private final SerializationSchema<String> valueSerialization; private String topic; SelfSerializationSchema(String topic, SerializationSchema<String> valueSerialization){ this.valueSerialization = valueSerialization; this.topic = topic; } @Override public void open(SerializationSchema.InitializationContext context, KafkaSinkContext sinkContext) throws Exception { KafkaRecordSerializationSchema.super.open(context, sinkContext); } @Override public ProducerRecord<byte[], byte[]> serialize(String s, KafkaSinkContext kafkaSinkContext, Long aLong) { final byte[] valueSerialized = valueSerialization.serialize(s); return new ProducerRecord<>(topic, valueSerialized); } }
> }
> {code}
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