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@cloud-fan Even the specified partitioning is same as the input data, we
still need the sorting. Because the rows with same partition values are not
guaranteed to be continuous in all rows, so you
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@rxin I think it is safe, it is only used to check whether the schema
contains the columns. Hive columns are not case-sensitive.
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ping @gatorsmile
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I spent a long time looking at this and I think @markhamsta's solution is
the way to go, and that we should update the tests to address the failures (I
think the two tests that fail are
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GitHub user VinceShieh opened a pull request:
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[SPARK-17498][ML] enchance StringIndexer to handle unseen labels
## What changes were proposed in this pull request?
This PR is an enhancement to ML StringIndexer.
Before this PR,
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff:
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@@ -496,7 +496,7 @@ case class
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Github user dilipbiswal commented on the issue:
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retest this please
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--- Diff:
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@@ -48,69 +47,102 @@ class JacksonParser(
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Github user squito commented on the issue:
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lgtm when tests pass
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
---
@@ -1038,9 +1038,8 @@ class DAGScheduler(
}
Github user davies commented on the issue:
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@viirya This is a general OOM, should not be caused by cached bytecode,
they are way smaller comparing other things in executor, I think this patch
will not help either.
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cc @hvanhovell could you please take a look?
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[SPARK-19544][SQL] Improve error message when some column types are
compatible and others are not in set/union operations
## What changes were proposed in this pull request?
This PR
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@shaneknapp the build failed to trigger for me again, I did it manually via
spark-prs.appspot.com
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failure is probably unrelated
Jenkins, retest this please
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--- Diff:
resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala
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@@ -253,53 +233,24 @@ private[spark] class Client(
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@budde This looks good to me, but I've asked @zsxwing to also take a look
with a clean set of eyes. We can't backport this to 2.1.1, because of the
dependency changes. I'm also wondering if there
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
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}
if
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cc @hvanhovell mind taking a look? You looked at the last PR that touched
this code
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[SPARK-19543] from_json fails when the input row is empty
## What changes were proposed in this pull request?
Using from_json on a column with an empty string results in:
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cc @cloud-fan @gatorsmile
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[SPARK-19542][SS]Delete the temp checkpoint if a query is stopped without
errors
## What changes were proposed in this pull request?
When a query uses a temp checkpoint dir, it's better
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