[jira] [Assigned] (FLINK-16428) Fine-grained network buffer management for backpressure
[ https://issues.apache.org/jira/browse/FLINK-16428?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Chesnay Schepler reassigned FLINK-16428: Assignee: Chesnay Schepler > Fine-grained network buffer management for backpressure > --- > > Key: FLINK-16428 > URL: https://issues.apache.org/jira/browse/FLINK-16428 > Project: Flink > Issue Type: Improvement > Components: Runtime / Network >Reporter: Zhijiang >Assignee: Chesnay Schepler >Priority: Critical > Fix For: 1.14.0 > > > It is an umbrella ticket for tracing the progress of this improvement. > This is the second ingredient to solve the “checkpoints under backpressure” > problem (together with unaligned checkpoints). It consists of two steps: > * See if we can use less network memory in general for streaming jobs (with > potentially different distribution of floating buffers in the input side) > * Under backpressure, reduce network memory to have less in-flight data > (needs specification of algorithm and experiments) -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Assigned] (FLINK-16428) Fine-grained network buffer management for backpressure
[ https://issues.apache.org/jira/browse/FLINK-16428?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Chesnay Schepler reassigned FLINK-16428: Assignee: (was: Chesnay Schepler) > Fine-grained network buffer management for backpressure > --- > > Key: FLINK-16428 > URL: https://issues.apache.org/jira/browse/FLINK-16428 > Project: Flink > Issue Type: Improvement > Components: Runtime / Network >Reporter: Zhijiang >Priority: Critical > Fix For: 1.14.0 > > > It is an umbrella ticket for tracing the progress of this improvement. > This is the second ingredient to solve the “checkpoints under backpressure” > problem (together with unaligned checkpoints). It consists of two steps: > * See if we can use less network memory in general for streaming jobs (with > potentially different distribution of floating buffers in the input side) > * Under backpressure, reduce network memory to have less in-flight data > (needs specification of algorithm and experiments) -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Assigned] (FLINK-16428) Fine-grained network buffer management for backpressure
[ https://issues.apache.org/jira/browse/FLINK-16428?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Zhijiang reassigned FLINK-16428: Assignee: (was: Zhijiang) > Fine-grained network buffer management for backpressure > --- > > Key: FLINK-16428 > URL: https://issues.apache.org/jira/browse/FLINK-16428 > Project: Flink > Issue Type: Improvement > Components: Runtime / Network >Reporter: Zhijiang >Priority: Critical > Fix For: 1.12.0 > > > It is an umbrella ticket for tracing the progress of this improvement. > This is the second ingredient to solve the “checkpoints under backpressure” > problem (together with unaligned checkpoints). It consists of two steps: > * See if we can use less network memory in general for streaming jobs (with > potentially different distribution of floating buffers in the input side) > * Under backpressure, reduce network memory to have less in-flight data > (needs specification of algorithm and experiments) -- This message was sent by Atlassian Jira (v8.3.4#803005)
[jira] [Assigned] (FLINK-16428) Fine-grained network buffer management for backpressure
[ https://issues.apache.org/jira/browse/FLINK-16428?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Zhijiang reassigned FLINK-16428: Assignee: Zhijiang > Fine-grained network buffer management for backpressure > --- > > Key: FLINK-16428 > URL: https://issues.apache.org/jira/browse/FLINK-16428 > Project: Flink > Issue Type: Improvement > Components: Runtime / Network >Reporter: Zhijiang >Assignee: Zhijiang >Priority: Critical > Fix For: 1.11.0 > > > It is an umbrella ticket for tracing the progress of this improvement. > This is the second ingredient to solve the “checkpoints under backpressure” > problem (together with unaligned checkpoints). It consists of two steps: > * See if we can use less network memory in general for streaming jobs (with > potentially different distribution of floating buffers in the input side) > * Under backpressure, reduce network memory to have less in-flight data > (needs specification of algorithm and experiments) -- This message was sent by Atlassian Jira (v8.3.4#803005)
