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@dongjoon-hyun Is the changes OK to you?
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@cloud-fan @gatorsmile if everything is okay,can you please merge this PR
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I want to see the configurations ..
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[SPARK-25347][ML][DOC] Spark datasource for image/libsvm user guide
## What changes were proposed in this pull request?
Spark datasource for image/libsvm user guide
## How
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What is the status now? I think this is of great value, since this gives
users more possibility to leverage bucket join, all joins which take the bucket
key as the prefix of join keys will
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Thank you @srowen for merging.
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@srowen fair 'nuf... i'll create a jira for this tomorrow and we can hash
out final design shite there (rather than overloading this PR). :)
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--- Diff: docs/running-on-kubernetes.md ---
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This sets the major Python version of the
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Sorry for late. @HyukjinKwon Yes, this LGTM. It is great we can follow up
other issues like None and datetime.time in other JIRA.
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@cloud-fan @gatorsmile @HyukjinKwon Thanks. Yes. As Pandas UDF has the same
issue and it is fixed by this PR.
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Merged to master.
Thank you @BryanCutler. Let me try to make sure I take further actions for
related items.
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Github user srowen commented on the issue:
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Yeah this does need to be in a public repo.
apache/spark-jenkins-configurations or something. We can ask INFRA to create
them. But, I'm not against just putting them in dev/ or something in the main
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Github user HyukjinKwon commented on the issue:
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Yea, same issue exists in Pandas UDFs too (quickly double checked). This PR
fixes it. That code path is rather one same place FYI.
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Github user shaneknapp commented on the issue:
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@vanzin i'm not opposed to hosting these configs somewhere else.
@JoshRosen did this a few years back just to "get shit done"...
i'd be leery of putting this in to the main spark repo,
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@AbdealiJK since RC3 is not cut, this will be in 2.4.
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Hmmm... just want to raise a possible issue that maybe, just maybe, we
should be hosting those jenkins configs in a repository that is owned by the
ASF and writable by all Spark committers.
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@@ -0,0 +1,156 @@
Github user shaneknapp commented on the issue:
https://github.com/apache/spark/pull/22615
https://github.com/databricks/spark-jenkins-configurations/pull/47
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