[jira] [Updated] (SPARK-25214) Kafka v2 source may return duplicated records when `failOnDataLoss` is `false`
[ https://issues.apache.org/jira/browse/SPARK-25214?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Shixiong Zhu updated SPARK-25214: - Affects Version/s: (was: 2.3.1) (was: 2.3.0) 2.4.0 > Kafka v2 source may return duplicated records when `failOnDataLoss` is `false` > -- > > Key: SPARK-25214 > URL: https://issues.apache.org/jira/browse/SPARK-25214 > Project: Spark > Issue Type: Bug > Components: Structured Streaming >Affects Versions: 2.4.0 >Reporter: Shixiong Zhu >Assignee: Shixiong Zhu >Priority: Blocker > Labels: correctness > Fix For: 2.4.0 > > > When there are missing offsets, Kafka v2 source may return duplicated records > when failOnDataLoss=false because it doesn't skip missing offsets. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Updated] (SPARK-25214) Kafka v2 source may return duplicated records when `failOnDataLoss` is `false`
[ https://issues.apache.org/jira/browse/SPARK-25214?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Shixiong Zhu updated SPARK-25214: - Description: When there are missing offsets, Kafka v2 source may return duplicated records when failOnDataLoss=false because it doesn't skip missing offsets. > Kafka v2 source may return duplicated records when `failOnDataLoss` is `false` > -- > > Key: SPARK-25214 > URL: https://issues.apache.org/jira/browse/SPARK-25214 > Project: Spark > Issue Type: Bug > Components: Structured Streaming >Affects Versions: 2.3.0, 2.3.1 >Reporter: Shixiong Zhu >Assignee: Shixiong Zhu >Priority: Blocker > Labels: correctness > > When there are missing offsets, Kafka v2 source may return duplicated records > when failOnDataLoss=false because it doesn't skip missing offsets. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
