Can't Consume Messages When Using Kafka v.0.10.0.x
0
I'm using kafka v.0.10.2 on my cluster.
I can produce message fine using v.0.8.x and v0.10.2
BUT when consuming messages using client v0.10.0.x I'm having errors below;
WARN [ConsumerFetcherThread-console-consumer-myconsumer-0-1002], Error in fetch kafka.consumer.ConsumerFetcherThread$FetchRequest@16090d7a. Possible cause: java.nio.BufferUnderflowException (kafka.consumer.ConsumerFetcherThread)
ok,now my kafka.clien is v.0.8.x
but ihave a new problem
6 15:07:13 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, hadoop11, executor 10): org.apache.spark.SparkException: Task failed while writing rows
at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:151)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:79)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:78)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: kafka.common.KafkaException: String exceeds the maximum size of 32767.
at kafka.api.ApiUtils$.shortStringLength(ApiUtils.scala:73)
at kafka.api.TopicData$.headerSize(FetchResponse.scala:107)
at kafka.api.TopicData.<init>(FetchResponse.scala:113)
at kafka.api.TopicData$.readFrom(FetchResponse.scala:103)
at kafka.api.FetchResponse$$anonfun$4.apply(FetchResponse.scala:170)
at kafka.api.FetchResponse$$anonfun$4.apply(FetchResponse.scala:169)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.immutable.Range.foreach(Range.scala:160)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)
at kafka.api.FetchResponse$.readFrom(FetchResponse.scala:169)
at kafka.consumer.SimpleConsumer.fetch(SimpleConsumer.scala:135)
at org.apache.spark.streaming.kafka.KafkaRDD$KafkaRDDIterator.fetchBatch(KafkaRDD.scala:196)
at org.apache.spark.streaming.kafka.KafkaRDD$KafkaRDDIterator.getNext(KafkaRDD.scala:212)
at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)
at scala.collection.Iterator$GroupedIterator.fill(Iterator.scala:1126)
at scala.collection.Iterator$GroupedIterator.hasNext(Iterator.scala:1132)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$4.apply(SparkHadoopWriter.scala:124)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$4.apply(SparkHadoopWriter.scala:123)
at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1411)
at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:135)
... 8 more
what show i do
String exceeds the maximum size of 32767.
apache-kafka
asked Nov 15 '18 at 1:58
mrzhangmrzhang
164
|
show 1 more comment
0
I'm using kafka v.0.10.2 on my cluster.
I can produce message fine using v.0.8.x and v0.10.2
BUT when consuming messages using client v0.10.0.x I'm having errors below;
WARN [ConsumerFetcherThread-console-consumer-myconsumer-0-1002], Error in fetch kafka.consumer.ConsumerFetcherThread$FetchRequest@16090d7a. Possible cause: java.nio.BufferUnderflowException (kafka.consumer.ConsumerFetcherThread)
ok,now my kafka.clien is v.0.8.x
but ihave a new problem
6 15:07:13 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, hadoop11, executor 10): org.apache.spark.SparkException: Task failed while writing rows
at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:151)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:79)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:78)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: kafka.common.KafkaException: String exceeds the maximum size of 32767.
at kafka.api.ApiUtils$.shortStringLength(ApiUtils.scala:73)
at kafka.api.TopicData$.headerSize(FetchResponse.scala:107)
at kafka.api.TopicData.<init>(FetchResponse.scala:113)
at kafka.api.TopicData$.readFrom(FetchResponse.scala:103)
at kafka.api.FetchResponse$$anonfun$4.apply(FetchResponse.scala:170)
at kafka.api.FetchResponse$$anonfun$4.apply(FetchResponse.scala:169)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.immutable.Range.foreach(Range.scala:160)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)
at kafka.api.FetchResponse$.readFrom(FetchResponse.scala:169)
at kafka.consumer.SimpleConsumer.fetch(SimpleConsumer.scala:135)
at org.apache.spark.streaming.kafka.KafkaRDD$KafkaRDDIterator.fetchBatch(KafkaRDD.scala:196)
at org.apache.spark.streaming.kafka.KafkaRDD$KafkaRDDIterator.getNext(KafkaRDD.scala:212)
at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)
at scala.collection.Iterator$GroupedIterator.fill(Iterator.scala:1126)
at scala.collection.Iterator$GroupedIterator.hasNext(Iterator.scala:1132)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$4.apply(SparkHadoopWriter.scala:124)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$4.apply(SparkHadoopWriter.scala:123)
at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1411)
at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:135)
... 8 more
what show i do
String exceeds the maximum size of 32767.
apache-kafka
asked Nov 15 '18 at 1:58
mrzhangmrzhang
164
Please show a Minimal, Complete, and Verifiable example of all configurations, code, and commands used
– cricket_007
Nov 15 '18 at 2:20
I am pretty sure that the best case is to use the same version of the client with the broker version
– dtheo
Nov 15 '18 at 3:55
yes, I agree with you, but the point is that the versions are inconsistent.
– mrzhang
Nov 15 '18 at 5:55
kafka.apache.org/0102/documentation.html says Version 0.10.2 brokers support 0.8.x and newer clients. But the error you have is usually happened by a mismatch version.
– dtheo
Nov 16 '18 at 4:30
String exceeds the maximum size of 32767.what should i do
– mrzhang
Nov 16 '18 at 7:17
|
show 1 more comment
0
0
0
I'm using kafka v.0.10.2 on my cluster.
I can produce message fine using v.0.8.x and v0.10.2
BUT when consuming messages using client v0.10.0.x I'm having errors below;
WARN [ConsumerFetcherThread-console-consumer-myconsumer-0-1002], Error in fetch kafka.consumer.ConsumerFetcherThread$FetchRequest@16090d7a. Possible cause: java.nio.BufferUnderflowException (kafka.consumer.ConsumerFetcherThread)
ok,now my kafka.clien is v.0.8.x
but ihave a new problem
6 15:07:13 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, hadoop11, executor 10): org.apache.spark.SparkException: Task failed while writing rows
at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:151)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:79)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:78)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: kafka.common.KafkaException: String exceeds the maximum size of 32767.
at kafka.api.ApiUtils$.shortStringLength(ApiUtils.scala:73)
at kafka.api.TopicData$.headerSize(FetchResponse.scala:107)
at kafka.api.TopicData.<init>(FetchResponse.scala:113)
at kafka.api.TopicData$.readFrom(FetchResponse.scala:103)
at kafka.api.FetchResponse$$anonfun$4.apply(FetchResponse.scala:170)
at kafka.api.FetchResponse$$anonfun$4.apply(FetchResponse.scala:169)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.immutable.Range.foreach(Range.scala:160)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)
at kafka.api.FetchResponse$.readFrom(FetchResponse.scala:169)
at kafka.consumer.SimpleConsumer.fetch(SimpleConsumer.scala:135)
at org.apache.spark.streaming.kafka.KafkaRDD$KafkaRDDIterator.fetchBatch(KafkaRDD.scala:196)
at org.apache.spark.streaming.kafka.KafkaRDD$KafkaRDDIterator.getNext(KafkaRDD.scala:212)
at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)
at scala.collection.Iterator$GroupedIterator.fill(Iterator.scala:1126)
at scala.collection.Iterator$GroupedIterator.hasNext(Iterator.scala:1132)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$4.apply(SparkHadoopWriter.scala:124)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$4.apply(SparkHadoopWriter.scala:123)
at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1411)
at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:135)
... 8 more
what show i do
String exceeds the maximum size of 32767.
apache-kafka
asked Nov 15 '18 at 1:58
mrzhangmrzhang
164
I'm using kafka v.0.10.2 on my cluster.
I can produce message fine using v.0.8.x and v0.10.2
BUT when consuming messages using client v0.10.0.x I'm having errors below;
WARN [ConsumerFetcherThread-console-consumer-myconsumer-0-1002], Error in fetch kafka.consumer.ConsumerFetcherThread$FetchRequest@16090d7a. Possible cause: java.nio.BufferUnderflowException (kafka.consumer.ConsumerFetcherThread)
ok,now my kafka.clien is v.0.8.x
but ihave a new problem
6 15:07:13 WARN scheduler.TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, hadoop11, executor 10): org.apache.spark.SparkException: Task failed while writing rows
at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:151)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:79)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$3.apply(SparkHadoopWriter.scala:78)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87)
at org.apache.spark.scheduler.Task.run(Task.scala:109)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:345)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Caused by: kafka.common.KafkaException: String exceeds the maximum size of 32767.
at kafka.api.ApiUtils$.shortStringLength(ApiUtils.scala:73)
at kafka.api.TopicData$.headerSize(FetchResponse.scala:107)
at kafka.api.TopicData.<init>(FetchResponse.scala:113)
at kafka.api.TopicData$.readFrom(FetchResponse.scala:103)
at kafka.api.FetchResponse$$anonfun$4.apply(FetchResponse.scala:170)
at kafka.api.FetchResponse$$anonfun$4.apply(FetchResponse.scala:169)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.immutable.Range.foreach(Range.scala:160)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)
at kafka.api.FetchResponse$.readFrom(FetchResponse.scala:169)
at kafka.consumer.SimpleConsumer.fetch(SimpleConsumer.scala:135)
at org.apache.spark.streaming.kafka.KafkaRDD$KafkaRDDIterator.fetchBatch(KafkaRDD.scala:196)
at org.apache.spark.streaming.kafka.KafkaRDD$KafkaRDDIterator.getNext(KafkaRDD.scala:212)
at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)
at scala.collection.Iterator$GroupedIterator.fill(Iterator.scala:1126)
at scala.collection.Iterator$GroupedIterator.hasNext(Iterator.scala:1132)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$4.apply(SparkHadoopWriter.scala:124)
at org.apache.spark.internal.io.SparkHadoopWriter$$anonfun$4.apply(SparkHadoopWriter.scala:123)
at org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1411)
at org.apache.spark.internal.io.SparkHadoopWriter$.org$apache$spark$internal$io$SparkHadoopWriter$$executeTask(SparkHadoopWriter.scala:135)
... 8 more
what show i do
String exceeds the maximum size of 32767.
apache-kafka
apache-kafka
asked Nov 15 '18 at 1:58
mrzhangmrzhang
164
asked Nov 15 '18 at 1:58
mrzhangmrzhang
164
edited Nov 16 '18 at 7:16
mrzhang
asked Nov 15 '18 at 1:58
mrzhangmrzhang
164
asked Nov 15 '18 at 1:58
mrzhangmrzhang
164
asked Nov 15 '18 at 1:58
mrzhangmrzhang
164
164
Please show a Minimal, Complete, and Verifiable example of all configurations, code, and commands used
– cricket_007
Nov 15 '18 at 2:20
I am pretty sure that the best case is to use the same version of the client with the broker version
– dtheo
Nov 15 '18 at 3:55
yes, I agree with you, but the point is that the versions are inconsistent.
– mrzhang
Nov 15 '18 at 5:55
kafka.apache.org/0102/documentation.html says Version 0.10.2 brokers support 0.8.x and newer clients. But the error you have is usually happened by a mismatch version.
– dtheo
Nov 16 '18 at 4:30
String exceeds the maximum size of 32767.what should i do
– mrzhang
Nov 16 '18 at 7:17
|
show 1 more comment
Please show a Minimal, Complete, and Verifiable example of all configurations, code, and commands used
– cricket_007
Nov 15 '18 at 2:20
I am pretty sure that the best case is to use the same version of the client with the broker version
– dtheo
Nov 15 '18 at 3:55
yes, I agree with you, but the point is that the versions are inconsistent.
– mrzhang
Nov 15 '18 at 5:55
kafka.apache.org/0102/documentation.html says Version 0.10.2 brokers support 0.8.x and newer clients. But the error you have is usually happened by a mismatch version.
– dtheo
Nov 16 '18 at 4:30
String exceeds the maximum size of 32767.what should i do
– mrzhang
Nov 16 '18 at 7:17
Please show a Minimal, Complete, and Verifiable example of all configurations, code, and commands used
– cricket_007
Nov 15 '18 at 2:20
Please show a Minimal, Complete, and Verifiable example of all configurations, code, and commands used
– cricket_007
Nov 15 '18 at 2:20
I am pretty sure that the best case is to use the same version of the client with the broker version
– dtheo
Nov 15 '18 at 3:55
I am pretty sure that the best case is to use the same version of the client with the broker version
– dtheo
Nov 15 '18 at 3:55
yes, I agree with you, but the point is that the versions are inconsistent.
– mrzhang
Nov 15 '18 at 5:55
yes, I agree with you, but the point is that the versions are inconsistent.
– mrzhang
Nov 15 '18 at 5:55
kafka.apache.org/0102/documentation.html says Version 0.10.2 brokers support 0.8.x and newer clients. But the error you have is usually happened by a mismatch version.
– dtheo
Nov 16 '18 at 4:30
kafka.apache.org/0102/documentation.html says Version 0.10.2 brokers support 0.8.x and newer clients. But the error you have is usually happened by a mismatch version.
– dtheo
Nov 16 '18 at 4:30
String exceeds the maximum size of 32767.what should i do
– mrzhang
Nov 16 '18 at 7:17
String exceeds the maximum size of 32767.what should i do
– mrzhang
Nov 16 '18 at 7:17
|
show 1 more comment
1 Answer
1
active
oldest
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Tell me about my final plan
I upgraded the version to 0.10.2
answered Nov 22 '18 at 9:13
mrzhangmrzhang
164
add a comment |
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Tell me about my final plan
I upgraded the version to 0.10.2
answered Nov 22 '18 at 9:13
mrzhangmrzhang
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0
Tell me about my final plan
I upgraded the version to 0.10.2
answered Nov 22 '18 at 9:13
mrzhangmrzhang
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Tell me about my final plan
I upgraded the version to 0.10.2
answered Nov 22 '18 at 9:13
mrzhangmrzhang
164
Tell me about my final plan
I upgraded the version to 0.10.2
answered Nov 22 '18 at 9:13
mrzhangmrzhang
164
answered Nov 22 '18 at 9:13
mrzhangmrzhang
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answered Nov 22 '18 at 9:13
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answered Nov 22 '18 at 9:13
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Please show a Minimal, Complete, and Verifiable example of all configurations, code, and commands used
– cricket_007
Nov 15 '18 at 2:20
I am pretty sure that the best case is to use the same version of the client with the broker version
– dtheo
Nov 15 '18 at 3:55
yes, I agree with you, but the point is that the versions are inconsistent.
– mrzhang
Nov 15 '18 at 5:55
kafka.apache.org/0102/documentation.html says Version 0.10.2 brokers support 0.8.x and newer clients. But the error you have is usually happened by a mismatch version.
– dtheo
Nov 16 '18 at 4:30
String exceeds the maximum size of 32767.what should i do
– mrzhang
Nov 16 '18 at 7:17