[
https://issues.apache.org/jira/browse/SPARK-61012?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
ASF GitHub Bot updated SPARK-61012:
-----------------------------------
Labels: pull-request-available (was: )
> Sample by the fractions of sampleBy, and take a Column, in the Python client
> as PySpark does
> --------------------------------------------------------------------------------------------
>
> Key: SPARK-61012
> URL: https://issues.apache.org/jira/browse/SPARK-61012
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
> Fix For: connect-rust-4.3.0
>
>
> In PySpark Connect, {{df.sampleBy(col, fractions, seed)}} sends each stratum
> of {{fractions}} with its fraction in the {{StatSampleBy}} relation, of a
> column name or a Column {{col}}; it raises {{NOT_EXPECTED_TYPE}} for a
> {{col}} that is neither or {{fractions}} that is not a dict, and
> {{DISALLOWED_TYPE_FOR_CONTAINER}} for a stratum that is not a float, an int
> or a string.
> The Rust-backed Python client sends the strata without their fractions, so
> every fraction is 0 and the sample is empty: {{df.sampleBy("k", {"a": 1.0,
> "b": 0.0}, seed=1).count()}} is 0, where PySpark 4.3.0 returns the 2 rows of
> {{"a"}}. It also takes only a column name. Sample by the fractions 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]
