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Posted to user@spark.apache.org by venkat <me...@gmail.com> on 2017/12/01 01:15:10 UTC
Re: [Spark streaming] No assigned partition error during seek
Yes I use latest Kafka clients 0.11 to determine beginning offsets without
seek and also I use Kafka offsets commits externally.
I dont find the spark async commit useful for our needs.
Thanks
Venkat
On Fri, 1 Dec 2017 at 02:39 Cody Koeninger <co...@koeninger.org> wrote:
> You mentioned 0.11 version; the latest version of org.apache.kafka
> kafka-clients artifact supported by DStreams is 0.10.0.1, for which it
> has an appropriate dependency.
>
> Are you manually depending on a different version of the kafka-clients
> artifact?
>
> On Fri, Nov 24, 2017 at 7:39 PM, venks61176 <me...@gmail.com> wrote:
> > Version: 2.2 with Kafka010
> >
> > Hi,
> >
> > We are running spark streaming on AWS and trying to process incoming
> > messages on Kafka topics. All was well.
> > Recently we wanted to migrate from 0.8 to 0.11 version of Spark library
> and
> > Kafka 0.11 version of server.
> >
> > With this new version of software we are facing issues with regard to 'No
> > assignment to partition for a topic and it happens intermittently'. I
> > construct four DStreams with different group.ids as suggested.
> >
> > The main source of code thats causing the issue is this one
> >
> > if (!toSeek.isEmpty) {
> > // work around KAFKA-3370 when reset is none
> > // poll will throw if no position, i.e. auto offset reset none and
> no
> > explicit position
> > // but cant seek to a position before poll, because poll is what
> gets
> > subscription partitions
> > // So, poll, suppress the first exception, then seek
> > val aor = kafkaParams.get(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG)
> > val shouldSuppress = aor != null &&
> > aor.asInstanceOf[String].toUpperCase == "NONE"
> > try {
> > consumer.poll(0)
> > } catch {
> > case x: NoOffsetForPartitionException if shouldSuppress =>
> > logWarning("Catching NoOffsetForPartitionException since " +
> > ConsumerConfig.AUTO_OFFSET_RESET_CONFIG + " is none. See
> > KAFKA-3370")
> > }
> > toSeek.asScala.foreach { case (topicPartition, offset) =>
> > *consumer.seek(topicPartition, offset)*
> > }
> > }
> >
> > At the start of the job, I also ensure we are supplying all required
> offsets
> > correctly
> >
> > private Map<TopicPartition, Long> getCommittedOffsets(String topic) {
> > Map<TopicPartition, Long> offsets = new HashMap<>();
> > List<TopicPartition> topicPartitions =
> > consumer.partitionsFor(topic).stream().map(partitionInfo ->
> > new TopicPartition(partitionInfo.topic(),
> > partitionInfo.partition()))
> > .collect(Collectors.toList());
> > Map<TopicPartition, Long> earliestOffsets =
> > consumer.beginningOffsets(topicPartitions);
> > // pick committed offsets
> > for (TopicPartition topicAndPartition : topicPartitions) {
> > final OffsetAndMetadata committed =
> > consumer.committed(topicAndPartition);
> > Long earliestOffset = earliestOffsets.get(topicAndPartition);
> > if (committed != null && committed.offset() > earliestOffset) {
> > logger
> > .warn(
> > "Committed offset found for: {} offset:{} -> Hence adding
> > committed offset",
> > topicAndPartition, committed.offset());
> > offsets.put(topicAndPartition, committed.offset());
> > } else {
> > logger
> > .warn(
> > "New partition/stale offset found for: {} offset:{} ->
> Hence
> > adding earliest offset",
> > topicAndPartition, earliestOffset);
> > offsets.put(topicAndPartition, earliestOffset);
> > }
> > }
> > return offsets;
> > }
> >
> > The actual stack trace:
> >
> > Caused by: java.lang.IllegalStateException: No current assignment for
> > partition genericEvents-1
> > 2017-11-23 10:35:24,677 - at
> >
> org.apache.kafka.clients.consumer.internals.SubscriptionState.assignedState(SubscriptionState.java:269)
> > 2017-11-23 10:35:24,677 - at
> >
> org.apache.kafka.clients.consumer.internals.SubscriptionState.seek(SubscriptionState.java:294)
> > 2017-11-23 10:35:24,677 - at
> >
> org.apache.kafka.clients.consumer.KafkaConsumer.seek(KafkaConsumer.java:1249)
> > 2017-11-23 10:35:24,678 - at
> >
> org.apache.spark.streaming.kafka010.Subscribe$$anonfun$onStart$2.apply(ConsumerStrategy.scala:107)
> > 2017-11-23 10:35:24,678 - at
> >
> org.apache.spark.streaming.kafka010.Subscribe$$anonfun$onStart$2.apply(ConsumerStrategy.scala:106)
> > 2017-11-23 10:35:24,678 - at
> > scala.collection.Iterator$class.foreach(Iterator.scala:893)
> > 2017-11-23 10:35:24,678 - at
> > scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> > 2017-11-23 10:35:24,678 - at
> > scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> > 2017-11-23 10:35:24,678 - at
> > scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> > 2017-11-23 10:35:24,678 - at
> >
> org.apache.spark.streaming.kafka010.Subscribe.onStart(ConsumerStrategy.scala:106)
> > 2017-11-23 10:35:24,679 - at
> >
> org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.consumer(DirectKafkaInputDStream.scala:72)
> > 2017-11-23 10:35:24,679 - at
> >
> org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.start(DirectKafkaInputDStream.scala:242)
> > 2017-11-23 10:35:24,679 - at
> >
> org.apache.spark.streaming.DStreamGraph$$anonfun$start$7.apply(DStreamGraph.scala:54)
> > 2017-11-23 10:35:24,679 - at
> >
> org.apache.spark.streaming.DStreamGraph$$anonfun$start$7.apply(DStreamGraph.scala:54)
> > 2017-11-23 10:35:24,679 - at
> >
> scala.collection.parallel.mutable.ParArray$ParArrayIterator.foreach_quick(ParArray.scala:143)
> > 2017-11-23 10:35:24,679 - at
> >
> scala.collection.parallel.mutable.ParArray$ParArrayIterator.foreach(ParArray.scala:136)
> > 2017-11-23 10:35:24,679 - at
> >
> scala.collection.parallel.ParIterableLike$Foreach.leaf(ParIterableLike.scala:972)
> > 2017-11-23 10:35:24,680 - at
> >
> scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply$mcV$sp(Tasks.scala:49)
> > 2017-11-23 10:35:24,680 - at
> > scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply(Tasks.scala:48)
> > 2017-11-23 10:35:24,680 - at
> > scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply(Tasks.scala:48)
> > 2017-11-23 10:35:24,680 - at
> > scala.collection.parallel.Task$class.tryLeaf(Tasks.scala:51)
> > 2017-11-23 10:35:24,680 - at
> >
> scala.collection.parallel.ParIterableLike$Foreach.tryLeaf(ParIterableLike.scala:969)
> > 2017-11-23 10:35:24,680 - at
> >
> scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask$class.internal(Tasks.scala:159)
> > 2017-11-23 10:35:24,680 - at
> >
> scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.internal(Tasks.scala:443)
> > 2017-11-23 10:35:24,681 - at
> >
> scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask$class.compute(Tasks.scala:149)
> > 2017-11-23 10:35:24,681 - at
> >
> scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.compute(Tasks.scala:443)
> > 2017-11-23 10:35:24,681 - at
> > scala.concurrent.forkjoin.RecursiveAction.exec(RecursiveAction.java:160)
> > 2017-11-23 10:35:24,681 - at
> > scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
> >
> >
> >
> >
> > --
> > Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/
> >
> > ---------------------------------------------------------------------
> > To unsubscribe e-mail: user-unsubscribe@spark.apache.org
> >
>
Re: [Spark streaming] No assigned partition error during seek
Posted by Cody Koeninger <co...@koeninger.org>.
Yeah, don't mix multiple versions of kafka clients. That's not 100%
certain to be the cause of your problem, but it can't be helping.
As for your comments about async commits, read
https://issues.apache.org/jira/browse/SPARK-22486
and if you think your use case is still relevant to others given those
constraints, then share it.
On Fri, Dec 1, 2017 at 4:11 AM, Qiao, Richard
<Ri...@capitalone.com> wrote:
> In your case, it looks it’s trying to make 2 versions Kafka existed in the
> same JVM at runtime. There is version conflict.
>
>
>
> About “I dont find the spark async commit useful for our needs”, do you
> mean to say the code like below?
>
> kafkaDStream.asInstanceOf[CanCommitOffsets].commitAsync(ranges)
>
>
>
>
>
> Best Regards
>
> Richard
>
>
>
>
>
> From: venkat <me...@gmail.com>
> Date: Thursday, November 30, 2017 at 8:16 PM
> To: Cody Koeninger <co...@koeninger.org>
> Cc: "user@spark.apache.org" <us...@spark.apache.org>
> Subject: Re: [Spark streaming] No assigned partition error during seek
>
>
>
> I notice that 'Do not manually add dependencies on org.apache.kafka
> artifacts (e.g. kafka-clients). The spark-streaming-kafka-0-10 artifact has
> the appropriate transitive dependencies already, and different versions may
> be incompatible in hard to diagnose way' after your query.
>
> Does this imply that we should not be adding kafka clients in our jars?.
>
> Thanks
>
> Venkat
>
>
>
> On Fri, 1 Dec 2017 at 06:45 venkat <me...@gmail.com> wrote:
>
> Yes I use latest Kafka clients 0.11 to determine beginning offsets without
> seek and also I use Kafka offsets commits externally.
>
> I dont find the spark async commit useful for our needs.
>
> Thanks
>
> Venkat
>
>
>
> On Fri, 1 Dec 2017 at 02:39 Cody Koeninger <co...@koeninger.org> wrote:
>
> You mentioned 0.11 version; the latest version of org.apache.kafka
> kafka-clients artifact supported by DStreams is 0.10.0.1, for which it
> has an appropriate dependency.
>
> Are you manually depending on a different version of the kafka-clients
> artifact?
>
> On Fri, Nov 24, 2017 at 7:39 PM, venks61176 <me...@gmail.com> wrote:
>> Version: 2.2 with Kafka010
>>
>> Hi,
>>
>> We are running spark streaming on AWS and trying to process incoming
>> messages on Kafka topics. All was well.
>> Recently we wanted to migrate from 0.8 to 0.11 version of Spark library
>> and
>> Kafka 0.11 version of server.
>>
>> With this new version of software we are facing issues with regard to 'No
>> assignment to partition for a topic and it happens intermittently'. I
>> construct four DStreams with different group.ids as suggested.
>>
>> The main source of code thats causing the issue is this one
>>
>> if (!toSeek.isEmpty) {
>> // work around KAFKA-3370 when reset is none
>> // poll will throw if no position, i.e. auto offset reset none and
>> no
>> explicit position
>> // but cant seek to a position before poll, because poll is what
>> gets
>> subscription partitions
>> // So, poll, suppress the first exception, then seek
>> val aor = kafkaParams.get(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG)
>> val shouldSuppress = aor != null &&
>> aor.asInstanceOf[String].toUpperCase == "NONE"
>> try {
>> consumer.poll(0)
>> } catch {
>> case x: NoOffsetForPartitionException if shouldSuppress =>
>> logWarning("Catching NoOffsetForPartitionException since " +
>> ConsumerConfig.AUTO_OFFSET_RESET_CONFIG + " is none. See
>> KAFKA-3370")
>> }
>> toSeek.asScala.foreach { case (topicPartition, offset) =>
>> *consumer.seek(topicPartition, offset)*
>> }
>> }
>>
>> At the start of the job, I also ensure we are supplying all required
>> offsets
>> correctly
>>
>> private Map<TopicPartition, Long> getCommittedOffsets(String topic) {
>> Map<TopicPartition, Long> offsets = new HashMap<>();
>> List<TopicPartition> topicPartitions =
>> consumer.partitionsFor(topic).stream().map(partitionInfo ->
>> new TopicPartition(partitionInfo.topic(),
>> partitionInfo.partition()))
>> .collect(Collectors.toList());
>> Map<TopicPartition, Long> earliestOffsets =
>> consumer.beginningOffsets(topicPartitions);
>> // pick committed offsets
>> for (TopicPartition topicAndPartition : topicPartitions) {
>> final OffsetAndMetadata committed =
>> consumer.committed(topicAndPartition);
>> Long earliestOffset = earliestOffsets.get(topicAndPartition);
>> if (committed != null && committed.offset() > earliestOffset) {
>> logger
>> .warn(
>> "Committed offset found for: {} offset:{} -> Hence adding
>> committed offset",
>> topicAndPartition, committed.offset());
>> offsets.put(topicAndPartition, committed.offset());
>> } else {
>> logger
>> .warn(
>> "New partition/stale offset found for: {} offset:{} ->
>> Hence
>> adding earliest offset",
>> topicAndPartition, earliestOffset);
>> offsets.put(topicAndPartition, earliestOffset);
>> }
>> }
>> return offsets;
>> }
>>
>> The actual stack trace:
>>
>> Caused by: java.lang.IllegalStateException: No current assignment for
>> partition genericEvents-1
>> 2017-11-23 10:35:24,677 - at
>>
>> org.apache.kafka.clients.consumer.internals.SubscriptionState.assignedState(SubscriptionState.java:269)
>> 2017-11-23 10:35:24,677 - at
>>
>> org.apache.kafka.clients.consumer.internals.SubscriptionState.seek(SubscriptionState.java:294)
>> 2017-11-23 10:35:24,677 - at
>>
>> org.apache.kafka.clients.consumer.KafkaConsumer.seek(KafkaConsumer.java:1249)
>> 2017-11-23 10:35:24,678 - at
>>
>> org.apache.spark.streaming.kafka010.Subscribe$$anonfun$onStart$2.apply(ConsumerStrategy.scala:107)
>> 2017-11-23 10:35:24,678 - at
>>
>> org.apache.spark.streaming.kafka010.Subscribe$$anonfun$onStart$2.apply(ConsumerStrategy.scala:106)
>> 2017-11-23 10:35:24,678 - at
>> scala.collection.Iterator$class.foreach(Iterator.scala:893)
>> 2017-11-23 10:35:24,678 - at
>> scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
>> 2017-11-23 10:35:24,678 - at
>> scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
>> 2017-11-23 10:35:24,678 - at
>> scala.collection.AbstractIterable.foreach(Iterable.scala:54)
>> 2017-11-23 10:35:24,678 - at
>>
>> org.apache.spark.streaming.kafka010.Subscribe.onStart(ConsumerStrategy.scala:106)
>> 2017-11-23 10:35:24,679 - at
>>
>> org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.consumer(DirectKafkaInputDStream.scala:72)
>> 2017-11-23 10:35:24,679 - at
>>
>> org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.start(DirectKafkaInputDStream.scala:242)
>> 2017-11-23 10:35:24,679 - at
>>
>> org.apache.spark.streaming.DStreamGraph$$anonfun$start$7.apply(DStreamGraph.scala:54)
>> 2017-11-23 10:35:24,679 - at
>>
>> org.apache.spark.streaming.DStreamGraph$$anonfun$start$7.apply(DStreamGraph.scala:54)
>> 2017-11-23 10:35:24,679 - at
>>
>> scala.collection.parallel.mutable.ParArray$ParArrayIterator.foreach_quick(ParArray.scala:143)
>> 2017-11-23 10:35:24,679 - at
>>
>> scala.collection.parallel.mutable.ParArray$ParArrayIterator.foreach(ParArray.scala:136)
>> 2017-11-23 10:35:24,679 - at
>>
>> scala.collection.parallel.ParIterableLike$Foreach.leaf(ParIterableLike.scala:972)
>> 2017-11-23 10:35:24,680 - at
>>
>> scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply$mcV$sp(Tasks.scala:49)
>> 2017-11-23 10:35:24,680 - at
>> scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply(Tasks.scala:48)
>> 2017-11-23 10:35:24,680 - at
>> scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply(Tasks.scala:48)
>> 2017-11-23 10:35:24,680 - at
>> scala.collection.parallel.Task$class.tryLeaf(Tasks.scala:51)
>> 2017-11-23 10:35:24,680 - at
>>
>> scala.collection.parallel.ParIterableLike$Foreach.tryLeaf(ParIterableLike.scala:969)
>> 2017-11-23 10:35:24,680 - at
>>
>> scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask$class.internal(Tasks.scala:159)
>> 2017-11-23 10:35:24,680 - at
>>
>> scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.internal(Tasks.scala:443)
>> 2017-11-23 10:35:24,681 - at
>>
>> scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask$class.compute(Tasks.scala:149)
>> 2017-11-23 10:35:24,681 - at
>>
>> scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.compute(Tasks.scala:443)
>> 2017-11-23 10:35:24,681 - at
>> scala.concurrent.forkjoin.RecursiveAction.exec(RecursiveAction.java:160)
>> 2017-11-23 10:35:24,681 - at
>> scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>>
>>
>>
>>
>> --
>> Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/
>>
>> ---------------------------------------------------------------------
>> To unsubscribe e-mail: user-unsubscribe@spark.apache.org
>>
>
>
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Re: [Spark streaming] No assigned partition error during seek
Posted by "Qiao, Richard" <Ri...@capitalone.com>.
In your case, it looks it’s trying to make 2 versions Kafka existed in the same JVM at runtime. There is version conflict.
About “I dont find the spark async commit useful for our needs”, do you mean to say the code like below?
kafkaDStream.asInstanceOf[CanCommitOffsets].commitAsync(ranges)
Best Regards
Richard
From: venkat <me...@gmail.com>
Date: Thursday, November 30, 2017 at 8:16 PM
To: Cody Koeninger <co...@koeninger.org>
Cc: "user@spark.apache.org" <us...@spark.apache.org>
Subject: Re: [Spark streaming] No assigned partition error during seek
I notice that 'Do not manually add dependencies on org.apache.kafka artifacts (e.g. kafka-clients). The spark-streaming-kafka-0-10 artifact has the appropriate transitive dependencies already, and different versions may be incompatible in hard to diagnose way' after your query.
Does this imply that we should not be adding kafka clients in our jars?.
Thanks
Venkat
On Fri, 1 Dec 2017 at 06:45 venkat <me...@gmail.com>> wrote:
Yes I use latest Kafka clients 0.11 to determine beginning offsets without seek and also I use Kafka offsets commits externally.
I dont find the spark async commit useful for our needs.
Thanks
Venkat
On Fri, 1 Dec 2017 at 02:39 Cody Koeninger <co...@koeninger.org>> wrote:
You mentioned 0.11 version; the latest version of org.apache.kafka
kafka-clients artifact supported by DStreams is 0.10.0.1, for which it
has an appropriate dependency.
Are you manually depending on a different version of the kafka-clients artifact?
On Fri, Nov 24, 2017 at 7:39 PM, venks61176 <me...@gmail.com>> wrote:
> Version: 2.2 with Kafka010
>
> Hi,
>
> We are running spark streaming on AWS and trying to process incoming
> messages on Kafka topics. All was well.
> Recently we wanted to migrate from 0.8 to 0.11 version of Spark library and
> Kafka 0.11 version of server.
>
> With this new version of software we are facing issues with regard to 'No
> assignment to partition for a topic and it happens intermittently'. I
> construct four DStreams with different group.ids as suggested.
>
> The main source of code thats causing the issue is this one
>
> if (!toSeek.isEmpty) {
> // work around KAFKA-3370 when reset is none
> // poll will throw if no position, i.e. auto offset reset none and no
> explicit position
> // but cant seek to a position before poll, because poll is what gets
> subscription partitions
> // So, poll, suppress the first exception, then seek
> val aor = kafkaParams.get(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG)
> val shouldSuppress = aor != null &&
> aor.asInstanceOf[String].toUpperCase == "NONE"
> try {
> consumer.poll(0)
> } catch {
> case x: NoOffsetForPartitionException if shouldSuppress =>
> logWarning("Catching NoOffsetForPartitionException since " +
> ConsumerConfig.AUTO_OFFSET_RESET_CONFIG + " is none. See
> KAFKA-3370")
> }
> toSeek.asScala.foreach { case (topicPartition, offset) =>
> *consumer.seek(topicPartition, offset)*
> }
> }
>
> At the start of the job, I also ensure we are supplying all required offsets
> correctly
>
> private Map<TopicPartition, Long> getCommittedOffsets(String topic) {
> Map<TopicPartition, Long> offsets = new HashMap<>();
> List<TopicPartition> topicPartitions =
> consumer.partitionsFor(topic).stream().map(partitionInfo ->
> new TopicPartition(partitionInfo.topic(),
> partitionInfo.partition()))
> .collect(Collectors.toList());
> Map<TopicPartition, Long> earliestOffsets =
> consumer.beginningOffsets(topicPartitions);
> // pick committed offsets
> for (TopicPartition topicAndPartition : topicPartitions) {
> final OffsetAndMetadata committed =
> consumer.committed(topicAndPartition);
> Long earliestOffset = earliestOffsets.get(topicAndPartition);
> if (committed != null && committed.offset() > earliestOffset) {
> logger
> .warn(
> "Committed offset found for: {} offset:{} -> Hence adding
> committed offset",
> topicAndPartition, committed.offset());
> offsets.put(topicAndPartition, committed.offset());
> } else {
> logger
> .warn(
> "New partition/stale offset found for: {} offset:{} -> Hence
> adding earliest offset",
> topicAndPartition, earliestOffset);
> offsets.put(topicAndPartition, earliestOffset);
> }
> }
> return offsets;
> }
>
> The actual stack trace:
>
> Caused by: java.lang.IllegalStateException: No current assignment for
> partition genericEvents-1
> 2017-11-23 10:35:24,677 - at
> org.apache.kafka.clients.consumer.internals.SubscriptionState.assignedState(SubscriptionState.java:269)
> 2017-11-23 10:35:24,677 - at
> org.apache.kafka.clients.consumer.internals.SubscriptionState.seek(SubscriptionState.java:294)
> 2017-11-23 10:35:24,677 - at
> org.apache.kafka.clients.consumer.KafkaConsumer.seek(KafkaConsumer.java:1249)
> 2017-11-23 10:35:24,678 - at
> org.apache.spark.streaming.kafka010.Subscribe$$anonfun$onStart$2.apply(ConsumerStrategy.scala:107)
> 2017-11-23 10:35:24,678 - at
> org.apache.spark.streaming.kafka010.Subscribe$$anonfun$onStart$2.apply(ConsumerStrategy.scala:106)
> 2017-11-23 10:35:24,678 - at
> scala.collection.Iterator$class.foreach(Iterator.scala:893)
> 2017-11-23 10:35:24,678 - at
> scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> 2017-11-23 10:35:24,678 - at
> scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> 2017-11-23 10:35:24,678 - at
> scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> 2017-11-23 10:35:24,678 - at
> org.apache.spark.streaming.kafka010.Subscribe.onStart(ConsumerStrategy.scala:106)
> 2017-11-23 10:35:24,679 - at
> org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.consumer(DirectKafkaInputDStream.scala:72)
> 2017-11-23 10:35:24,679 - at
> org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.start(DirectKafkaInputDStream.scala:242)
> 2017-11-23 10:35:24,679 - at
> org.apache.spark.streaming.DStreamGraph$$anonfun$start$7.apply(DStreamGraph.scala:54)
> 2017-11-23 10:35:24,679 - at
> org.apache.spark.streaming.DStreamGraph$$anonfun$start$7.apply(DStreamGraph.scala:54)
> 2017-11-23 10:35:24,679 - at
> scala.collection.parallel.mutable.ParArray$ParArrayIterator.foreach_quick(ParArray.scala:143)
> 2017-11-23 10:35:24,679 - at
> scala.collection.parallel.mutable.ParArray$ParArrayIterator.foreach(ParArray.scala:136)
> 2017-11-23 10:35:24,679 - at
> scala.collection.parallel.ParIterableLike$Foreach.leaf(ParIterableLike.scala:972)
> 2017-11-23 10:35:24,680 - at
> scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply$mcV$sp(Tasks.scala:49)
> 2017-11-23 10:35:24,680 - at
> scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply(Tasks.scala:48)
> 2017-11-23 10:35:24,680 - at
> scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply(Tasks.scala:48)
> 2017-11-23 10:35:24,680 - at
> scala.collection.parallel.Task$class.tryLeaf(Tasks.scala:51)
> 2017-11-23 10:35:24,680 - at
> scala.collection.parallel.ParIterableLike$Foreach.tryLeaf(ParIterableLike.scala:969)
> 2017-11-23 10:35:24,680 - at
> scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask$class.internal(Tasks.scala:159)
> 2017-11-23 10:35:24,680 - at
> scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.internal(Tasks.scala:443)
> 2017-11-23 10:35:24,681 - at
> scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask$class.compute(Tasks.scala:149)
> 2017-11-23 10:35:24,681 - at
> scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.compute(Tasks.scala:443)
> 2017-11-23 10:35:24,681 - at
> scala.concurrent.forkjoin.RecursiveAction.exec(RecursiveAction.java:160)
> 2017-11-23 10:35:24,681 - at
> scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>
>
>
>
> --
> Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/
>
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> To unsubscribe e-mail: user-unsubscribe@spark.apache.org<ma...@spark.apache.org>
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Re: [Spark streaming] No assigned partition error during seek
Posted by venkat <me...@gmail.com>.
I notice that *'Do not* manually add dependencies on org.apache.kafka
artifacts (e.g. kafka-clients). The spark-streaming-kafka-0-10 artifact has
the appropriate transitive dependencies already, and different versions may
be incompatible in hard to diagnose way' after your query.
Does this imply that we should not be adding kafka clients in our jars?.
Thanks
Venkat
On Fri, 1 Dec 2017 at 06:45 venkat <me...@gmail.com> wrote:
> Yes I use latest Kafka clients 0.11 to determine beginning offsets without
> seek and also I use Kafka offsets commits externally.
> I dont find the spark async commit useful for our needs.
>
> Thanks
> Venkat
>
> On Fri, 1 Dec 2017 at 02:39 Cody Koeninger <co...@koeninger.org> wrote:
>
>> You mentioned 0.11 version; the latest version of org.apache.kafka
>> kafka-clients artifact supported by DStreams is 0.10.0.1, for which it
>> has an appropriate dependency.
>>
>> Are you manually depending on a different version of the kafka-clients
>> artifact?
>>
>> On Fri, Nov 24, 2017 at 7:39 PM, venks61176 <me...@gmail.com> wrote:
>> > Version: 2.2 with Kafka010
>> >
>> > Hi,
>> >
>> > We are running spark streaming on AWS and trying to process incoming
>> > messages on Kafka topics. All was well.
>> > Recently we wanted to migrate from 0.8 to 0.11 version of Spark library
>> and
>> > Kafka 0.11 version of server.
>> >
>> > With this new version of software we are facing issues with regard to
>> 'No
>> > assignment to partition for a topic and it happens intermittently'. I
>> > construct four DStreams with different group.ids as suggested.
>> >
>> > The main source of code thats causing the issue is this one
>> >
>> > if (!toSeek.isEmpty) {
>> > // work around KAFKA-3370 when reset is none
>> > // poll will throw if no position, i.e. auto offset reset none
>> and no
>> > explicit position
>> > // but cant seek to a position before poll, because poll is what
>> gets
>> > subscription partitions
>> > // So, poll, suppress the first exception, then seek
>> > val aor = kafkaParams.get(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG)
>> > val shouldSuppress = aor != null &&
>> > aor.asInstanceOf[String].toUpperCase == "NONE"
>> > try {
>> > consumer.poll(0)
>> > } catch {
>> > case x: NoOffsetForPartitionException if shouldSuppress =>
>> > logWarning("Catching NoOffsetForPartitionException since " +
>> > ConsumerConfig.AUTO_OFFSET_RESET_CONFIG + " is none. See
>> > KAFKA-3370")
>> > }
>> > toSeek.asScala.foreach { case (topicPartition, offset) =>
>> > *consumer.seek(topicPartition, offset)*
>> > }
>> > }
>> >
>> > At the start of the job, I also ensure we are supplying all required
>> offsets
>> > correctly
>> >
>> > private Map<TopicPartition, Long> getCommittedOffsets(String topic) {
>> > Map<TopicPartition, Long> offsets = new HashMap<>();
>> > List<TopicPartition> topicPartitions =
>> > consumer.partitionsFor(topic).stream().map(partitionInfo ->
>> > new TopicPartition(partitionInfo.topic(),
>> > partitionInfo.partition()))
>> > .collect(Collectors.toList());
>> > Map<TopicPartition, Long> earliestOffsets =
>> > consumer.beginningOffsets(topicPartitions);
>> > // pick committed offsets
>> > for (TopicPartition topicAndPartition : topicPartitions) {
>> > final OffsetAndMetadata committed =
>> > consumer.committed(topicAndPartition);
>> > Long earliestOffset = earliestOffsets.get(topicAndPartition);
>> > if (committed != null && committed.offset() > earliestOffset) {
>> > logger
>> > .warn(
>> > "Committed offset found for: {} offset:{} -> Hence
>> adding
>> > committed offset",
>> > topicAndPartition, committed.offset());
>> > offsets.put(topicAndPartition, committed.offset());
>> > } else {
>> > logger
>> > .warn(
>> > "New partition/stale offset found for: {} offset:{} ->
>> Hence
>> > adding earliest offset",
>> > topicAndPartition, earliestOffset);
>> > offsets.put(topicAndPartition, earliestOffset);
>> > }
>> > }
>> > return offsets;
>> > }
>> >
>> > The actual stack trace:
>> >
>> > Caused by: java.lang.IllegalStateException: No current assignment for
>> > partition genericEvents-1
>> > 2017-11-23 10:35:24,677 - at
>> >
>> org.apache.kafka.clients.consumer.internals.SubscriptionState.assignedState(SubscriptionState.java:269)
>> > 2017-11-23 10:35:24,677 - at
>> >
>> org.apache.kafka.clients.consumer.internals.SubscriptionState.seek(SubscriptionState.java:294)
>> > 2017-11-23 10:35:24,677 - at
>> >
>> org.apache.kafka.clients.consumer.KafkaConsumer.seek(KafkaConsumer.java:1249)
>> > 2017-11-23 10:35:24,678 - at
>> >
>> org.apache.spark.streaming.kafka010.Subscribe$$anonfun$onStart$2.apply(ConsumerStrategy.scala:107)
>> > 2017-11-23 10:35:24,678 - at
>> >
>> org.apache.spark.streaming.kafka010.Subscribe$$anonfun$onStart$2.apply(ConsumerStrategy.scala:106)
>> > 2017-11-23 10:35:24,678 - at
>> > scala.collection.Iterator$class.foreach(Iterator.scala:893)
>> > 2017-11-23 10:35:24,678 - at
>> > scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
>> > 2017-11-23 10:35:24,678 - at
>> > scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
>> > 2017-11-23 10:35:24,678 - at
>> > scala.collection.AbstractIterable.foreach(Iterable.scala:54)
>> > 2017-11-23 10:35:24,678 - at
>> >
>> org.apache.spark.streaming.kafka010.Subscribe.onStart(ConsumerStrategy.scala:106)
>> > 2017-11-23 10:35:24,679 - at
>> >
>> org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.consumer(DirectKafkaInputDStream.scala:72)
>> > 2017-11-23 10:35:24,679 - at
>> >
>> org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.start(DirectKafkaInputDStream.scala:242)
>> > 2017-11-23 10:35:24,679 - at
>> >
>> org.apache.spark.streaming.DStreamGraph$$anonfun$start$7.apply(DStreamGraph.scala:54)
>> > 2017-11-23 10:35:24,679 - at
>> >
>> org.apache.spark.streaming.DStreamGraph$$anonfun$start$7.apply(DStreamGraph.scala:54)
>> > 2017-11-23 10:35:24,679 - at
>> >
>> scala.collection.parallel.mutable.ParArray$ParArrayIterator.foreach_quick(ParArray.scala:143)
>> > 2017-11-23 10:35:24,679 - at
>> >
>> scala.collection.parallel.mutable.ParArray$ParArrayIterator.foreach(ParArray.scala:136)
>> > 2017-11-23 10:35:24,679 - at
>> >
>> scala.collection.parallel.ParIterableLike$Foreach.leaf(ParIterableLike.scala:972)
>> > 2017-11-23 10:35:24,680 - at
>> >
>> scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply$mcV$sp(Tasks.scala:49)
>> > 2017-11-23 10:35:24,680 - at
>> > scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply(Tasks.scala:48)
>> > 2017-11-23 10:35:24,680 - at
>> > scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply(Tasks.scala:48)
>> > 2017-11-23 10:35:24,680 - at
>> > scala.collection.parallel.Task$class.tryLeaf(Tasks.scala:51)
>> > 2017-11-23 10:35:24,680 - at
>> >
>> scala.collection.parallel.ParIterableLike$Foreach.tryLeaf(ParIterableLike.scala:969)
>> > 2017-11-23 10:35:24,680 - at
>> >
>> scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask$class.internal(Tasks.scala:159)
>> > 2017-11-23 10:35:24,680 - at
>> >
>> scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.internal(Tasks.scala:443)
>> > 2017-11-23 10:35:24,681 - at
>> >
>> scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask$class.compute(Tasks.scala:149)
>> > 2017-11-23 10:35:24,681 - at
>> >
>> scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.compute(Tasks.scala:443)
>> > 2017-11-23 10:35:24,681 - at
>> > scala.concurrent.forkjoin.RecursiveAction.exec(RecursiveAction.java:160)
>> > 2017-11-23 10:35:24,681 - at
>> > scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>> >
>> >
>> >
>> >
>> > --
>> > Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/
>> >
>> > ---------------------------------------------------------------------
>> > To unsubscribe e-mail: user-unsubscribe@spark.apache.org
>> >
>>
>