[jira] [Updated] (FLINK-10806) Support multiple consuming offsets when discovering a new topic
[ https://issues.apache.org/jira/browse/FLINK-10806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Flink Jira Bot updated FLINK-10806: --- Labels: auto-deprioritized-major auto-deprioritized-minor auto-unassigned (was: auto-deprioritized-major auto-unassigned stale-minor) Priority: Not a Priority (was: Minor) This issue was labeled "stale-minor" 7 days ago and has not received any updates so it is being deprioritized. If this ticket is actually Minor, please raise the priority and ask a committer to assign you the issue or revive the public discussion. > Support multiple consuming offsets when discovering a new topic > --- > > Key: FLINK-10806 > URL: https://issues.apache.org/jira/browse/FLINK-10806 > Project: Flink > Issue Type: Improvement > Components: Connectors / Kafka >Affects Versions: 1.6.2, 1.8.1 >Reporter: Jiayi Liao >Priority: Not a Priority > Labels: auto-deprioritized-major, auto-deprioritized-minor, > auto-unassigned > > In KafkaConsumerBase, we discover the TopicPartitions and compare them with > the restoredState. It's reasonable when a topic's partitions scaled. However, > if we add a new topic which has too much data and restore the Flink program, > the data of the new topic will be consumed from the start, which may not be > what we want. I think this should be an option for developers. -- This message was sent by Atlassian Jira (v8.20.1#820001)
[jira] [Updated] (FLINK-10806) Support multiple consuming offsets when discovering a new topic
[ https://issues.apache.org/jira/browse/FLINK-10806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Flink Jira Bot updated FLINK-10806: --- Labels: auto-deprioritized-major auto-unassigned stale-minor (was: auto-deprioritized-major auto-unassigned) I am the [Flink Jira Bot|https://github.com/apache/flink-jira-bot/] and I help the community manage its development. I see this issues has been marked as Minor but is unassigned and neither itself nor its Sub-Tasks have been updated for 180 days. I have gone ahead and marked it "stale-minor". If this ticket is still Minor, please either assign yourself or give an update. Afterwards, please remove the label or in 7 days the issue will be deprioritized. > Support multiple consuming offsets when discovering a new topic > --- > > Key: FLINK-10806 > URL: https://issues.apache.org/jira/browse/FLINK-10806 > Project: Flink > Issue Type: Improvement > Components: Connectors / Kafka >Affects Versions: 1.6.2, 1.8.1 >Reporter: Jiayi Liao >Priority: Minor > Labels: auto-deprioritized-major, auto-unassigned, stale-minor > > In KafkaConsumerBase, we discover the TopicPartitions and compare them with > the restoredState. It's reasonable when a topic's partitions scaled. However, > if we add a new topic which has too much data and restore the Flink program, > the data of the new topic will be consumed from the start, which may not be > what we want. I think this should be an option for developers. -- This message was sent by Atlassian Jira (v8.20.1#820001)
[jira] [Updated] (FLINK-10806) Support multiple consuming offsets when discovering a new topic
[ https://issues.apache.org/jira/browse/FLINK-10806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Flink Jira Bot updated FLINK-10806: --- Labels: auto-deprioritized-major auto-unassigned (was: auto-unassigned stale-major) Priority: Minor (was: Major) This issue was labeled "stale-major" 7 ago and has not received any updates so it is being deprioritized. If this ticket is actually Major, please raise the priority and ask a committer to assign you the issue or revive the public discussion. > Support multiple consuming offsets when discovering a new topic > --- > > Key: FLINK-10806 > URL: https://issues.apache.org/jira/browse/FLINK-10806 > Project: Flink > Issue Type: Improvement > Components: Connectors / Kafka >Affects Versions: 1.6.2, 1.8.1 >Reporter: Jiayi Liao >Priority: Minor > Labels: auto-deprioritized-major, auto-unassigned > > In KafkaConsumerBase, we discover the TopicPartitions and compare them with > the restoredState. It's reasonable when a topic's partitions scaled. However, > if we add a new topic which has too much data and restore the Flink program, > the data of the new topic will be consumed from the start, which may not be > what we want. I think this should be an option for developers. -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Updated] (FLINK-10806) Support multiple consuming offsets when discovering a new topic
[ https://issues.apache.org/jira/browse/FLINK-10806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Flink Jira Bot updated FLINK-10806: --- Labels: auto-unassigned stale-major (was: auto-unassigned) I am the [Flink Jira Bot|https://github.com/apache/flink-jira-bot/] and I help the community manage its development. I see this issues has been marked as Major but is unassigned and neither itself nor its Sub-Tasks have been updated for 30 days. I have gone ahead and added a "stale-major" to the issue". If this ticket is a Major, please either assign yourself or give an update. Afterwards, please remove the label or in 7 days the issue will be deprioritized. > Support multiple consuming offsets when discovering a new topic > --- > > Key: FLINK-10806 > URL: https://issues.apache.org/jira/browse/FLINK-10806 > Project: Flink > Issue Type: Improvement > Components: Connectors / Kafka >Affects Versions: 1.6.2, 1.8.1 >Reporter: Jiayi Liao >Priority: Major > Labels: auto-unassigned, stale-major > > In KafkaConsumerBase, we discover the TopicPartitions and compare them with > the restoredState. It's reasonable when a topic's partitions scaled. However, > if we add a new topic which has too much data and restore the Flink program, > the data of the new topic will be consumed from the start, which may not be > what we want. I think this should be an option for developers. -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Updated] (FLINK-10806) Support multiple consuming offsets when discovering a new topic
[ https://issues.apache.org/jira/browse/FLINK-10806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Flink Jira Bot updated FLINK-10806: --- Labels: auto-unassigned (was: stale-assigned) > Support multiple consuming offsets when discovering a new topic > --- > > Key: FLINK-10806 > URL: https://issues.apache.org/jira/browse/FLINK-10806 > Project: Flink > Issue Type: Improvement > Components: Connectors / Kafka >Affects Versions: 1.6.2, 1.8.1 >Reporter: Jiayi Liao >Assignee: Jiayi Liao >Priority: Major > Labels: auto-unassigned > > In KafkaConsumerBase, we discover the TopicPartitions and compare them with > the restoredState. It's reasonable when a topic's partitions scaled. However, > if we add a new topic which has too much data and restore the Flink program, > the data of the new topic will be consumed from the start, which may not be > what we want. I think this should be an option for developers. -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Updated] (FLINK-10806) Support multiple consuming offsets when discovering a new topic
[ https://issues.apache.org/jira/browse/FLINK-10806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Flink Jira Bot updated FLINK-10806: --- Labels: stale-assigned (was: ) > Support multiple consuming offsets when discovering a new topic > --- > > Key: FLINK-10806 > URL: https://issues.apache.org/jira/browse/FLINK-10806 > Project: Flink > Issue Type: Improvement > Components: Connectors / Kafka >Affects Versions: 1.6.2, 1.8.1 >Reporter: Jiayi Liao >Assignee: Jiayi Liao >Priority: Major > Labels: stale-assigned > > In KafkaConsumerBase, we discover the TopicPartitions and compare them with > the restoredState. It's reasonable when a topic's partitions scaled. However, > if we add a new topic which has too much data and restore the Flink program, > the data of the new topic will be consumed from the start, which may not be > what we want. I think this should be an option for developers. -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Updated] (FLINK-10806) Support multiple consuming offsets when discovering a new topic
[ https://issues.apache.org/jira/browse/FLINK-10806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jiayi Liao updated FLINK-10806: --- Affects Version/s: 1.8.1 > Support multiple consuming offsets when discovering a new topic > --- > > Key: FLINK-10806 > URL: https://issues.apache.org/jira/browse/FLINK-10806 > Project: Flink > Issue Type: Improvement > Components: Connectors / Kafka >Affects Versions: 1.6.2, 1.8.1 >Reporter: Jiayi Liao >Assignee: Jiayi Liao >Priority: Major > > In KafkaConsumerBase, we discover the TopicPartitions and compare them with > the restoredState. It's reasonable when a topic's partitions scaled. However, > if we add a new topic which has too much data and restore the Flink program, > the data of the new topic will be consumed from the start, which may not be > what we want. I think this should be an option for developers. -- This message was sent by Atlassian JIRA (v7.6.14#76016)
[jira] [Updated] (FLINK-10806) Support multiple consuming offsets when discovering a new topic
[ https://issues.apache.org/jira/browse/FLINK-10806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Jiayi Liao updated FLINK-10806: --- Summary: Support multiple consuming offsets when discovering a new topic (was: Add optional consuming parameters when discovering a new topic) > Support multiple consuming offsets when discovering a new topic > --- > > Key: FLINK-10806 > URL: https://issues.apache.org/jira/browse/FLINK-10806 > Project: Flink > Issue Type: Improvement > Components: Kafka Connector >Affects Versions: 1.6.2 >Reporter: Jiayi Liao >Assignee: Jiayi Liao >Priority: Major > > In KafkaConsumerBase, we discover the TopicPartitions and compare them with > the restoredState. It's reasonable when a topic's partitions scaled. However, > if we add a new topic which has too much data and restore the Flink program, > the data of the new topic will be consumed from the start, which may not be > what we want. I think this should be an option for developers. -- This message was sent by Atlassian JIRA (v7.6.3#76005)