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Posted to issues@spark.apache.org by "Tanin Na Nakorn (Jira)" <ji...@apache.org> on 2022/07/05 02:55:00 UTC
[jira] [Comment Edited] (SPARK-39602) Invoking .repartition(100000) in a unit test causes the unit test to take >20 minutes.
[ https://issues.apache.org/jira/browse/SPARK-39602?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17562331#comment-17562331 ]
Tanin Na Nakorn edited comment on SPARK-39602 at 7/5/22 2:54 AM:
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The number of partitions is for illustration. In our actual job, we use something like 40000, 60000.
Currently, what we do is:
{code}
.groupBy(
... something ...,
partitions = if (spark.conf.getOption("spark.stripe.testMode.enabled").contains("true")) {
10
} else {
60000
}
)
{code}
But you can imagine that it litters the code a bit.
was (Author: JIRAUSER291610):
The number of partitions are for illustration. In our job, we use something like 40000, 60000.
Currently, what we do is:
{code}
.groupBy(
... something ...,
partitions = if (spark.conf.getOption("spark.stripe.testMode.enabled").contains("true")) {
10
} else {
60000
}
)
{code}
But you can imagine that it litters the code a bit.
> Invoking .repartition(100000) in a unit test causes the unit test to take >20 minutes.
> --------------------------------------------------------------------------------------
>
> Key: SPARK-39602
> URL: https://issues.apache.org/jira/browse/SPARK-39602
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 3.3.0
> Reporter: Tanin Na Nakorn
> Priority: Major
>
> Here's a proof of concept:
> {code}
> val result = spark
> .createDataset(List("test"))
> .rdd
> .repartition(100000)
> .map { _ =>
> "test"
> }
> .collect()
> .toList
>
> println(result)
> {code}
> This code takes a very long time in unit test.
> We aim to test for correctness in unit test... not testing the repartition.
> Is there a way to make it faster? (e.g. disable partition in test)
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