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Till Rohrmann closed FLINK-5131. -------------------------------- Resolution: Duplicate Superseded by [FLIP-53|https://cwiki.apache.org/confluence/display/FLINK/FLIP-53%3A+Fine+Grained+Operator+Resource+Management] > Fine-grained Resource Configuration > ----------------------------------- > > Key: FLINK-5131 > URL: https://issues.apache.org/jira/browse/FLINK-5131 > Project: Flink > Issue Type: New Feature > Components: API / DataSet, API / DataStream, Runtime / Coordination > Reporter: zhijiang > Priority: Major > > Normally the UDF just creates short-life small objects and these can be > recycled quickly by JVM, so most of the memory resource is controlled and > managed by *TaskManager* framework. But for some special cases, the UDF may > consume much resource to create long-live big objects, so it is necessary to > provide the options for professional users to define the resource usages if > needed. > The basic approach is the following: > - Introduce the *ResourceSpec* structure to describe the different resource > factors (cpu cores, heap memory, direct memory, native memory, etc) and > provide some basic construction methods for resource group. > - The *ResourceSpec* can be setted onto the internal transformation in > DataStream and base operator in DataSet separately. > - The *StateBackend* should provide the method to estimate the memory usage > based on hint of state size in *ResourceSpec*. > - In job graph generation, the *ResourceSpec* will be aggregated for > chained operators. > - When *JobManager* requests slot for submitting task from > *ResourceManager*, the *ResourceProfile* will be expanded to correspond with > *ResourceSpec*. > - The *ResourceManager* requests resource for container from cluster, it > should consider extra framework memory except for slot *ResourceProfile*. > - The framework memory is mainly used by *NetworkBufferPool* and > *MemoryManager* in *TaskManager*, and it can be configured in job level. > - Apart from resource, The JVM options attached with container should be > supported and could also be configured in job level. > This feature will be implemented directly into flip-6 branch. -- This message was sent by Atlassian Jira (v8.3.2#803003)