[jira] [Updated] (FLINK-34981) FLIP-426: Grouping Remote State Access

["Weijie Guo (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-34981?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Weijie Guo updated FLINK-34981:
-------------------------------
    Affects Version/s: 2.1.0

> FLIP-426: Grouping Remote State Access
> --------------------------------------
>
>                 Key: FLINK-34981
>                 URL: https://issues.apache.org/jira/browse/FLINK-34981
>             Project: Flink
>          Issue Type: New Feature
>          Components: Runtime / State Backends
>    Affects Versions: 2.1.0
>            Reporter: Jinzhong Li
>            Priority: Major
>             Fix For: 2.0.0
>
>
> This is a sub-FLIP for the disaggregated state management and its related work, please read the [FLIP-423|https://cwiki.apache.org/confluence/x/R4p3EQ] first to know the whole story.
> I/O speed and latency are critical for overall data throughput, particularly in jobs that manage large states. Implementing multiple asynchronous I/O operations is a proven strategy to enhance throughput by increasing parallelism of I/O execution. However, simply expanding I/O parallelism can quickly hit a ceiling due to finite I/O bandwidth. Additionally, when it comes to remote storage access, the time taken for RPC round trips significantly outweighs the impact of I/O size on individual I/O performance. So a promising optimization is to merge adjacent I/O requests into a single operation and fetch multiple keys with one I/O call. This approach requires a pre-prepared batch of keys for the query and the identification of I/O operations that can be combined. In this FLIP, we focus on the implementation details for batching state requests and processing them in batches.



--
This message was sent by Atlassian Jira
(v8.20.10#820010)