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LGTM Thanks! Merged to master.
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retest this please
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Hello all,
I've been thinking about trying to make this more generic given I just ran
into a hostPath/volume issue for executors which is similar. I took a look at
SPARK-24434 and
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retest this please
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+1, lgtm seems downloads.typesafe.com just redirects to
downloads.lightbend.com now.
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LGTM assuming tests pass.
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+/*
+ * Licensed
Github user rayburgemeestre commented on the issue:
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Yes, absolutely, but I made those changes in a hardcoded way though, just
to try it out. So I'm not sure how helpful it is.
Near the end of this file:
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_UPDATE_
I changed `toPandas` to write out of order partitions to python as they
come in, followed by a list of indices to represent the correct batch order.
In python, the batches are
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### Performance Tests - toPandas
Tests run on a 4 node standalone cluster with 32 cores total,
14.04.1-Ubuntu and OpenJDK 8
measured wall clock time to execute `toPandas()` and took
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### Performance Tests - createDataFrame
Tests run on a 4 node standalone cluster with 32 cores total,
14.04.1-Ubuntu and OpenJDK 8
measured wall clock time to execute
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Github user holdenk commented on the issue:
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So I had this come up while I was testing Spark 2.1.3 RC2 on a machine with
an existing YARN cluster with `spark-testing-base`. Haven't had the chance to
dig into it fully.
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This is also a regression. Backported to 2.3 branch too.
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> The only change with this PR is that the welcome message will be printed
first, and then the Spark URL will be shown latter. It's a minor difference.
I think we should create a JIRA to
GitHub user ConcurrencyPractitioner opened a pull request:
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[SPARK-18258] Sink need access to offset representation
## What changes were proposed in this pull request?
Currently, sinks only have access to the batchId and the data,
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@HyukjinKwon BTW, can you check this?
@MaxGekk Probably, I feel you'd be better to file a new jira for the point
you're looking into.
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Github user ConcurrencyPractitioner commented on the issue:
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I am uncertain about some of the ways we should transfer the data stored in
OffsetSeqs to external storage (e.g. like KafkaSink which I mentioned before).
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Github user edwinalu commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/status/api/v1/api.scala ---
@@ -98,14 +102,48 @@ class ExecutorSummary private[spark](
val
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