[jira] [Assigned] (ARROW-10582) [Rust] [DataFusion] Implement "repartition" operator

["Andy Grove (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-10582?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Andy Grove reassigned ARROW-10582:
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    Assignee: Andy Grove

> [Rust] [DataFusion] Implement "repartition" operator
> ----------------------------------------------------
>
>                 Key: ARROW-10582
>                 URL: https://issues.apache.org/jira/browse/ARROW-10582
>             Project: Apache Arrow
>          Issue Type: New Feature
>          Components: Rust, Rust - DataFusion
>            Reporter: Andy Grove
>            Assignee: Andy Grove
>            Priority: Major
>
> The repartition operator should read batches from its input partitions and then map that data to its output partitions using a specific partitioning scheme.
> The simplest and most efficient partition schema would be a "round robin batch partitioner". For each input batch, it would pick the next output partition to write to. This is a convenient way to change the number of partitions up or down with minimal overhead.
> Another example of a partitioning scheme would be a hash partitioner, which computes the hash of the partition keys on each incoming row and then applies a modulus to determine which output partition to write to.
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