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https://issues.apache.org/jira/browse/DATAFU-184?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Eyal Allweil updated DATAFU-184:
--------------------------------
Description:
It would be nice to create a blog post detailing use and performance advantage
of the new _collectNumberOrderedElements_ method added in DataFu 2.1.0.
A complete blog post can be written and submitted as a PR, or a draft. An
example of using this method can be found in [our
tests|https://github.com/apache/datafu/blob/main/datafu-spark/src/test/scala/datafu/spark/TestSparkUDAFs.scala#L149].
This task is mainly to find or create data and show the difference in
runtimes/amount of resources necessary when using the method and vanilla Spark.
was:
It would be nice to create a blog post detailing use and performance advantage
of the new _collectNumberOrderedElements_ method added in DataFu 2.1.0.
A complete blog post can be written and submitted as a PR, or a draft. An
example of using this method can be found in our tests. This task is mainly to
find or create data and show the difference in runtimes/amount of resources
necessary when using the method and vanilla Spark.
> Create benchmark of using/not using collectNumberOrderedElements for blog
> -------------------------------------------------------------------------
>
> Key: DATAFU-184
> URL: https://issues.apache.org/jira/browse/DATAFU-184
> Project: DataFu
> Issue Type: Task
> Reporter: Eyal Allweil
> Priority: Major
> Labels: blog, good-first-issue, newbie, up-for-grabs
>
> It would be nice to create a blog post detailing use and performance
> advantage of the new _collectNumberOrderedElements_ method added in DataFu
> 2.1.0.
>
> A complete blog post can be written and submitted as a PR, or a draft. An
> example of using this method can be found in [our
> tests|https://github.com/apache/datafu/blob/main/datafu-spark/src/test/scala/datafu/spark/TestSparkUDAFs.scala#L149].
> This task is mainly to find or create data and show the difference in
> runtimes/amount of resources necessary when using the method and vanilla
> Spark.
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