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Posted to jira@arrow.apache.org by "Andy Grove (Jira)" <ji...@apache.org> on 2020/10/09 18:37:00 UTC
[jira] [Updated] (ARROW-10251) [Rust] [DataFusion] MemTable::load()
should load partitions in parallel
[ https://issues.apache.org/jira/browse/ARROW-10251?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Andy Grove updated ARROW-10251:
-------------------------------
Description:
MemTable::load() should load partitions in parallel using async tasks, rather than loading one partition at a time.
Also, we should make batch size configurable. It is currently hard-coded to 1024*1024 which can be quite inefficient.
was:
MemTable::load() should load partitions in parallel using async tasks, rather than loading onw partition at a time.
Also, we should make batch size configurable. It is currently hard-coded to 1024*1024 which can be quite inefficient.
> [Rust] [DataFusion] MemTable::load() should load partitions in parallel
> -----------------------------------------------------------------------
>
> Key: ARROW-10251
> URL: https://issues.apache.org/jira/browse/ARROW-10251
> Project: Apache Arrow
> Issue Type: New Feature
> Components: Rust, Rust - DataFusion
> Reporter: Andy Grove
> Priority: Major
> Labels: beginner
> Fix For: 3.0.0
>
>
> MemTable::load() should load partitions in parallel using async tasks, rather than loading one partition at a time.
> Also, we should make batch size configurable. It is currently hard-coded to 1024*1024 which can be quite inefficient.
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