[jira] [Commented] (KAFKA-8570) Downconversion could fail when log contains out of order message formats

2019-07-12 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/KAFKA-8570?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16884010#comment-16884010
 ] 

ASF GitHub Bot commented on KAFKA-8570:
---

hachikuji commented on pull request #7071: KAFKA-8570: Grow buffer to hold down 
converted records if it was insufficiently sized
URL: https://github.com/apache/kafka/pull/7071
 
 
   
 

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> Downconversion could fail when log contains out of order message formats
> 
>
> Key: KAFKA-8570
> URL: https://issues.apache.org/jira/browse/KAFKA-8570
> Project: Kafka
>  Issue Type: Bug
>Reporter: Dhruvil Shah
>Assignee: Dhruvil Shah
>Priority: Major
> Fix For: 2.0.2, 2.1.2, 2.2.2, 2.3.1
>
>
> When the log contains out of order message formats (for example a v2 message 
> followed by a v1 message), it is possible for down-conversion to fail in 
> certain scenarios where batches compressed and greater than 1kB in size. 
> Down-conversion fails with a stack like the following:
> java.lang.IllegalArgumentException
> at java.nio.Buffer.limit(Buffer.java:275)
> at 
> org.apache.kafka.common.record.FileLogInputStream$FileChannelRecordBatch.writeTo(FileLogInputStream.java:176)
> at 
> org.apache.kafka.common.record.AbstractRecords.downConvert(AbstractRecords.java:107)
> at 
> org.apache.kafka.common.record.FileRecords.downConvert(FileRecords.java:242)



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[jira] [Commented] (KAFKA-8570) Downconversion could fail when log contains out of order message formats

2019-07-10 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/KAFKA-8570?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16882488#comment-16882488
 ] 

ASF GitHub Bot commented on KAFKA-8570:
---

dhruvilshah3 commented on pull request #7071: KAFKA-8570: Grow buffer to hold 
down converted records if it was insufficiently sized
URL: https://github.com/apache/kafka/pull/7071
 
 
   Backport https://github.com/apache/kafka/pull/6974 to 1.1
   
   When the log contains out of order message formats (for example v2 message 
followed by v1 message) and consists of compressed batches typically greater 
than 1kB in size, it is possible for down-conversion to fail. With compressed 
batches, we estimate the size of down-converted batches using:
   
   ```
   private static int estimateCompressedSizeInBytes(int size, 
CompressionType compressionType) {
   return compressionType == CompressionType.NONE ? size : 
Math.min(Math.max(size / 2, 1024), 1 << 16);
   }
   ```
   
   This almost always underestimates size of down-converted records if the 
batch is between 1kB-64kB in size. In general, this means we may under estimate 
the total size required for compressed batches.
   
   Because of an implicit assumption in the code that messages with a lower 
message format appear before any with a higher message format, we do not grow 
the buffer we copy the down converted records into when we see a message <= the 
target message format. This assumption becomes incorrect when the log contains 
out of order message formats, for example because of leaders flapping while 
upgrading the message format.
 

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> Downconversion could fail when log contains out of order message formats
> 
>
> Key: KAFKA-8570
> URL: https://issues.apache.org/jira/browse/KAFKA-8570
> Project: Kafka
>  Issue Type: Bug
>Reporter: Dhruvil Shah
>Assignee: Dhruvil Shah
>Priority: Major
> Fix For: 2.0.2, 2.1.2, 2.2.2, 2.3.1
>
>
> When the log contains out of order message formats (for example a v2 message 
> followed by a v1 message), it is possible for down-conversion to fail in 
> certain scenarios where batches compressed and greater than 1kB in size. 
> Down-conversion fails with a stack like the following:
> java.lang.IllegalArgumentException
> at java.nio.Buffer.limit(Buffer.java:275)
> at 
> org.apache.kafka.common.record.FileLogInputStream$FileChannelRecordBatch.writeTo(FileLogInputStream.java:176)
> at 
> org.apache.kafka.common.record.AbstractRecords.downConvert(AbstractRecords.java:107)
> at 
> org.apache.kafka.common.record.FileRecords.downConvert(FileRecords.java:242)



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[jira] [Commented] (KAFKA-8570) Downconversion could fail when log contains out of order message formats

2019-06-21 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/KAFKA-8570?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16869657#comment-16869657
 ] 

ASF GitHub Bot commented on KAFKA-8570:
---

hachikuji commented on pull request #6974: KAFKA-8570: Grow buffer to hold down 
converted records if it was insufficiently sized
URL: https://github.com/apache/kafka/pull/6974
 
 
   
 

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> Downconversion could fail when log contains out of order message formats
> 
>
> Key: KAFKA-8570
> URL: https://issues.apache.org/jira/browse/KAFKA-8570
> Project: Kafka
>  Issue Type: Bug
>Reporter: Dhruvil Shah
>Assignee: Dhruvil Shah
>Priority: Major
>
> When the log contains out of order message formats (for example a v2 message 
> followed by a v1 message), it is possible for down-conversion to fail in 
> certain scenarios where batches compressed and greater than 1kB in size. 
> Down-conversion fails with a stack like the following:
> java.lang.IllegalArgumentException
> at java.nio.Buffer.limit(Buffer.java:275)
> at 
> org.apache.kafka.common.record.FileLogInputStream$FileChannelRecordBatch.writeTo(FileLogInputStream.java:176)
> at 
> org.apache.kafka.common.record.AbstractRecords.downConvert(AbstractRecords.java:107)
> at 
> org.apache.kafka.common.record.FileRecords.downConvert(FileRecords.java:242)



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[jira] [Commented] (KAFKA-8570) Downconversion could fail when log contains out of order message formats

2019-06-19 Thread ASF GitHub Bot (JIRA)


[ 
https://issues.apache.org/jira/browse/KAFKA-8570?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16868139#comment-16868139
 ] 

ASF GitHub Bot commented on KAFKA-8570:
---

dhruvilshah3 commented on pull request #6974: KAFKA-8570: Grow buffer to hold 
down converted records if it was insufficiently sized
URL: https://github.com/apache/kafka/pull/6974
 
 
   When the log contains out of order message formats (for example v2 message 
followed by v1 message) and consists of compressed batches typically greater 
than 1kB in size, it is possible for down-conversion to fail. With compressed 
batches, we estimate the size of down-converted batches using:
   
   ```
   private static int estimateCompressedSizeInBytes(int size, 
CompressionType compressionType) {
   return compressionType == CompressionType.NONE ? size : 
Math.min(Math.max(size / 2, 1024), 1 << 16);
   }
   ```
   
   This almost always underestimates size of down-converted records if the 
batch is between 1kB-64kB in size. In general, this means we may under estimate 
the total size required for compressed batches.
   
   Because of an implicit assumption in the code that messages with a lower 
message format appear before any with a higher message format, we do not grow 
the buffer we copy the down converted records into when we see a message <= the 
target message format. This assumption becomes incorrect when the log contains 
out of order message formats, for example because of leaders flapping while 
upgrading the message format.
 

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> Downconversion could fail when log contains out of order message formats
> 
>
> Key: KAFKA-8570
> URL: https://issues.apache.org/jira/browse/KAFKA-8570
> Project: Kafka
>  Issue Type: Bug
>Reporter: Dhruvil Shah
>Assignee: Dhruvil Shah
>Priority: Major
>
> When the log contains out of order message formats (for example a v2 message 
> followed by a v1 message), it is possible for down-conversion to fail in 
> certain scenarios where batches compressed and greater than 1kB in size. 
> Down-conversion fails with a stack like the following:
> java.lang.IllegalArgumentException
> at java.nio.Buffer.limit(Buffer.java:275)
> at 
> org.apache.kafka.common.record.FileLogInputStream$FileChannelRecordBatch.writeTo(FileLogInputStream.java:176)
> at 
> org.apache.kafka.common.record.AbstractRecords.downConvert(AbstractRecords.java:107)
> at 
> org.apache.kafka.common.record.FileRecords.downConvert(FileRecords.java:242)



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