[
https://issues.apache.org/jira/browse/SPARK-61039?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Hyukjin Kwon resolved SPARK-61039.
----------------------------------
Resolution: Fixed
Issue resolved by pull request 233
[https://github.com/apache/spark-connect-rust/pull/233]
> Send the eager and storageLevel of checkpoint and localCheckpoint in the
> Python client as PySpark does
> ------------------------------------------------------------------------------------------------------
>
> Key: SPARK-61039
> URL: https://issues.apache.org/jira/browse/SPARK-61039
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
> Fix For: connect-rust-4.3.0
>
>
> In PySpark Connect, {{df.checkpoint(eager)}} and {{df.localCheckpoint(eager,
> storageLevel)}} send {{eager}}, and for a local checkpoint the
> {{storageLevel}}, in their {{CheckpointCommand}}. A checkpoint that is not
> eager is not materialized until it is used, and a local one is kept at the
> storage level given.
> The Rust-backed Python client, and the Rust API, ignore them: the checkpoints
> are always eager, at the default storage level. Send them as PySpark does.
--
This message was sent by Atlassian Jira
(v10.3.26#10030026)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
