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+/*
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I searched the code and didn't find similar issues, so this is the only one
shall be fixed.
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retest this please
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@tgravescs @mccheah @rvesse is this pretty much OK with all of you?
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> After running some more experiments I was able to reduce the runtime by
another 1.5x factor. So currently the
"toCoordinateMatrix().toIndexedRowMatrix()" is better by a bit only in the
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case (v1: DenseVector,
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ASSEMBLY_DIR1="${SPARK_HOME}/assembly/target/scala-2.12"
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[SPARK-26076][Build] Revise ambiguous error message from load-spark-env.sh
## What changes were proposed in this pull request?
When I try to run scripts (e.g.
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transform DenseVector x DenseVector sqdist from imperativ to functionâ¦
â¦al tailrec style which improves performance well on low and medium dim
vectors
## What changes were proposed
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Merged to master/2.4/2.3
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> noted test issue. let's kick off test though
@felixcheung This is now resolved, please kick off a retest when you get
chance
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Resolved the issue with the client mode test. The test itself was actually
badly written in that it used the Spark images but overrode the entry point
which avoided the logic that sets up the
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- The `ADD JAR` command previously
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[AE2.3-02][SPARK-23128] Add QueryStage and the framework for adaptive
execution (auto setting the number of reducer)
## What changes were proposed in this pull request?
Add QueryStage
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@@ -56,17 +56,32 @@ case class
Github user vanzin commented on the issue:
https://github.com/apache/spark/pull/23017
retest this please
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Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/23013#discussion_r233960723
--- Diff: docs/running-on-kubernetes.md ---
@@ -15,7 +15,19 @@ container images and entrypoints.**
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