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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/02/08 15:51:42 UTC
[jira] [Assigned] (SPARK-19517) KafkaSource fails to initialize
partition offsets
[ https://issues.apache.org/jira/browse/SPARK-19517?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-19517:
------------------------------------
Assignee: (was: Apache Spark)
> KafkaSource fails to initialize partition offsets
> -------------------------------------------------
>
> Key: SPARK-19517
> URL: https://issues.apache.org/jira/browse/SPARK-19517
> Project: Spark
> Issue Type: Bug
> Components: Structured Streaming
> Affects Versions: 2.1.0
> Reporter: Roberto Agostino Vitillo
> Priority: Critical
>
> A Kafka source with many partitions can cause the check-pointing logic to fail on restart. I got the following exception when trying to restart a Structured Streaming app that reads from a Kafka topic with hundred partitions.
> {code}
> 17/02/08 15:10:09 ERROR StreamExecution: Query [id = 24e2a21a-4545-4a3e-80ea-bbe777d883ab, runId = 025609c9-d59c-4de3-88b3-5d5f7eda4a66] terminated with error
> java.lang.IllegalArgumentException: Expected e.g. {"topicA":{"0":23,"1":-1},"topicB":{"0":-2}}, got {"telemetry":{"92":302854
> at org.apache.spark.sql.kafka010.JsonUtils$.partitionOffsets(JsonUtils.scala:74)
> at org.apache.spark.sql.kafka010.KafkaSourceOffset$.apply(KafkaSourceOffset.scala:59)
> at org.apache.spark.sql.kafka010.KafkaSource$$anon$1.deserialize(KafkaSource.scala:134)
> at org.apache.spark.sql.kafka010.KafkaSource$$anon$1.deserialize(KafkaSource.scala:123)
> at org.apache.spark.sql.execution.streaming.HDFSMetadataLog.get(HDFSMetadataLog.scala:237)
> at org.apache.spark.sql.kafka010.KafkaSource.initialPartitionOffsets$lzycompute(KafkaSource.scala:138)
> at org.apache.spark.sql.kafka010.KafkaSource.initialPartitionOffsets(KafkaSource.scala:121)
> …
> {code}
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