[jira] [Updated] (KAFKA-16073) Kafka Tiered Storage: Consumer Fetch Error Due to Delayed localLogStartOffset Update During Segment Deletion
[ https://issues.apache.org/jira/browse/KAFKA-16073?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Manikumar updated KAFKA-16073: -- Fix Version/s: 3.6.3 (was: 3.6.2) > Kafka Tiered Storage: Consumer Fetch Error Due to Delayed localLogStartOffset > Update During Segment Deletion > > > Key: KAFKA-16073 > URL: https://issues.apache.org/jira/browse/KAFKA-16073 > Project: Kafka > Issue Type: Bug > Components: core, Tiered-Storage >Affects Versions: 3.6.1 >Reporter: hzh0425 >Assignee: hzh0425 >Priority: Major > Labels: KIP-405, kip-405, tiered-storage > Fix For: 3.8.0, 3.7.1, 3.6.3 > > > The identified bug in Apache Kafka's tiered storage feature involves a > delayed update of {{localLogStartOffset}} in the > {{UnifiedLog.deleteSegments}} method, impacting consumer fetch operations. > When segments are deleted from the log's memory state, the > {{localLogStartOffset}} isn't promptly updated. Concurrently, > {{ReplicaManager.handleOffsetOutOfRangeError}} checks if a consumer's fetch > offset is less than the {{{}localLogStartOffset{}}}. If it's greater, Kafka > erroneously sends an {{OffsetOutOfRangeException}} to the consumer. > In a specific concurrent scenario, imagine sequential offsets: {{{}offset1 < > offset2 < offset3{}}}. A client requests data at {{{}offset2{}}}. While a > background deletion process removes segments from memory, it hasn't yet > updated the {{LocalLogStartOffset}} from {{offset1}} to {{{}offset3{}}}. > Consequently, when the fetch offset ({{{}offset2{}}}) is evaluated against > the stale {{offset1}} in {{{}ReplicaManager.handleOffsetOutOfRangeError{}}}, > it incorrectly triggers an {{{}OffsetOutOfRangeException{}}}. This issue > arises from the out-of-sync update of {{{}localLogStartOffset{}}}, leading to > incorrect handling of consumer fetch requests and potential data access > errors. -- This message was sent by Atlassian Jira (v8.20.10#820010)
[jira] [Updated] (KAFKA-16073) Kafka Tiered Storage: Consumer Fetch Error Due to Delayed localLogStartOffset Update During Segment Deletion
[ https://issues.apache.org/jira/browse/KAFKA-16073?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Manikumar updated KAFKA-16073: -- Fix Version/s: 3.7.1 > Kafka Tiered Storage: Consumer Fetch Error Due to Delayed localLogStartOffset > Update During Segment Deletion > > > Key: KAFKA-16073 > URL: https://issues.apache.org/jira/browse/KAFKA-16073 > Project: Kafka > Issue Type: Bug > Components: core, Tiered-Storage >Affects Versions: 3.6.1 >Reporter: hzh0425 >Assignee: hzh0425 >Priority: Major > Labels: KIP-405, kip-405, tiered-storage > Fix For: 3.6.2, 3.8.0, 3.7.1 > > > The identified bug in Apache Kafka's tiered storage feature involves a > delayed update of {{localLogStartOffset}} in the > {{UnifiedLog.deleteSegments}} method, impacting consumer fetch operations. > When segments are deleted from the log's memory state, the > {{localLogStartOffset}} isn't promptly updated. Concurrently, > {{ReplicaManager.handleOffsetOutOfRangeError}} checks if a consumer's fetch > offset is less than the {{{}localLogStartOffset{}}}. If it's greater, Kafka > erroneously sends an {{OffsetOutOfRangeException}} to the consumer. > In a specific concurrent scenario, imagine sequential offsets: {{{}offset1 < > offset2 < offset3{}}}. A client requests data at {{{}offset2{}}}. While a > background deletion process removes segments from memory, it hasn't yet > updated the {{LocalLogStartOffset}} from {{offset1}} to {{{}offset3{}}}. > Consequently, when the fetch offset ({{{}offset2{}}}) is evaluated against > the stale {{offset1}} in {{{}ReplicaManager.handleOffsetOutOfRangeError{}}}, > it incorrectly triggers an {{{}OffsetOutOfRangeException{}}}. This issue > arises from the out-of-sync update of {{{}localLogStartOffset{}}}, leading to > incorrect handling of consumer fetch requests and potential data access > errors. -- This message was sent by Atlassian Jira (v8.20.10#820010)
[jira] [Updated] (KAFKA-16073) Kafka Tiered Storage: Consumer Fetch Error Due to Delayed localLogStartOffset Update During Segment Deletion
[ https://issues.apache.org/jira/browse/KAFKA-16073?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Divij Vaidya updated KAFKA-16073: - Fix Version/s: 3.6.2 (was: 3.6.1) > Kafka Tiered Storage: Consumer Fetch Error Due to Delayed localLogStartOffset > Update During Segment Deletion > > > Key: KAFKA-16073 > URL: https://issues.apache.org/jira/browse/KAFKA-16073 > Project: Kafka > Issue Type: Bug > Components: core, Tiered-Storage >Affects Versions: 3.6.1 >Reporter: hzh0425 >Assignee: hzh0425 >Priority: Major > Labels: KIP-405, kip-405, tiered-storage > Fix For: 3.6.2, 3.8.0 > > > The identified bug in Apache Kafka's tiered storage feature involves a > delayed update of {{localLogStartOffset}} in the > {{UnifiedLog.deleteSegments}} method, impacting consumer fetch operations. > When segments are deleted from the log's memory state, the > {{localLogStartOffset}} isn't promptly updated. Concurrently, > {{ReplicaManager.handleOffsetOutOfRangeError}} checks if a consumer's fetch > offset is less than the {{{}localLogStartOffset{}}}. If it's greater, Kafka > erroneously sends an {{OffsetOutOfRangeException}} to the consumer. > In a specific concurrent scenario, imagine sequential offsets: {{{}offset1 < > offset2 < offset3{}}}. A client requests data at {{{}offset2{}}}. While a > background deletion process removes segments from memory, it hasn't yet > updated the {{LocalLogStartOffset}} from {{offset1}} to {{{}offset3{}}}. > Consequently, when the fetch offset ({{{}offset2{}}}) is evaluated against > the stale {{offset1}} in {{{}ReplicaManager.handleOffsetOutOfRangeError{}}}, > it incorrectly triggers an {{{}OffsetOutOfRangeException{}}}. This issue > arises from the out-of-sync update of {{{}localLogStartOffset{}}}, leading to > incorrect handling of consumer fetch requests and potential data access > errors. -- This message was sent by Atlassian Jira (v8.20.10#820010)
[jira] [Updated] (KAFKA-16073) Kafka Tiered Storage: Consumer Fetch Error Due to Delayed localLogStartOffset Update During Segment Deletion
[ https://issues.apache.org/jira/browse/KAFKA-16073?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Satish Duggana updated KAFKA-16073: --- Summary: Kafka Tiered Storage: Consumer Fetch Error Due to Delayed localLogStartOffset Update During Segment Deletion (was: Kafka Tiered Storage Bug: Consumer Fetch Error Due to Delayed localLogStartOffset Update During Segment Deletion) > Kafka Tiered Storage: Consumer Fetch Error Due to Delayed localLogStartOffset > Update During Segment Deletion > > > Key: KAFKA-16073 > URL: https://issues.apache.org/jira/browse/KAFKA-16073 > Project: Kafka > Issue Type: Bug > Components: core, Tiered-Storage >Affects Versions: 3.6.1 >Reporter: hzh0425 >Assignee: hzh0425 >Priority: Major > Labels: KIP-405, kip-405, tiered-storage > Fix For: 3.6.1, 3.8.0 > > > The identified bug in Apache Kafka's tiered storage feature involves a > delayed update of {{localLogStartOffset}} in the > {{UnifiedLog.deleteSegments}} method, impacting consumer fetch operations. > When segments are deleted from the log's memory state, the > {{localLogStartOffset}} isn't promptly updated. Concurrently, > {{ReplicaManager.handleOffsetOutOfRangeError}} checks if a consumer's fetch > offset is less than the {{{}localLogStartOffset{}}}. If it's greater, Kafka > erroneously sends an {{OffsetOutOfRangeException}} to the consumer. > In a specific concurrent scenario, imagine sequential offsets: {{{}offset1 < > offset2 < offset3{}}}. A client requests data at {{{}offset2{}}}. While a > background deletion process removes segments from memory, it hasn't yet > updated the {{LocalLogStartOffset}} from {{offset1}} to {{{}offset3{}}}. > Consequently, when the fetch offset ({{{}offset2{}}}) is evaluated against > the stale {{offset1}} in {{{}ReplicaManager.handleOffsetOutOfRangeError{}}}, > it incorrectly triggers an {{{}OffsetOutOfRangeException{}}}. This issue > arises from the out-of-sync update of {{{}localLogStartOffset{}}}, leading to > incorrect handling of consumer fetch requests and potential data access > errors. -- This message was sent by Atlassian Jira (v8.20.10#820010)