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[SPARK-19659][CORE][FOLLOW-UP] Fetch big blocks to disk when shuffle-read
## What changes were proposed in this pull request?
This PR includes some minor improvement for the comments and
Github user gatorsmile commented on a diff in the pull request:
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--- Diff: R/pkg/R/generics.R ---
@@ -1403,20 +1416,25 @@ setGeneric("unix_timestamp", function(x, format) {
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#' @expo
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@SparkQA
please test it.
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Github user gatorsmile commented on the issue:
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Will merge it when my minor comment is resolved.
Thanks for working on it!
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--- Diff: docs/sql-programming-guide.md ---
@@ -581,6 +581,114 @@ Starting from Spark 2.1, persistent datasource tables
have per-partition metadat
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LGTM
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Github user loneknightpy commented on a diff in the pull request:
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Github user jaceklaskowski commented on the issue:
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I'm late with this, but just leaving it for future code reviewers...
I think the change took the most extreme path where even such simple
`outputPartitioning` as the one in `WindowExe
Github user zhengruifeng commented on the issue:
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@MLnick I mean that the algorithm in the paper is not implemented in
current PR. I think I need to update this PR according to the paper, and then
retest it.
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@sethah the idea is to get to a "good enough" solution in a fraction of the
time. The [paper](http://www.eecs.tufts.edu/~dsculley/papers/fastkmeans.pdf)
shows it achieving "near optimal" cost in far
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@felixcheung Thank you. This is great suggestion. I will split it into two
help files which should make the doc much cleaner without changing the
functions.
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retest please
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restest please
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thanks, merging to master!
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@marmbrus Thank you for taking a look again. Surely, shut down hook is not
ideal for closing kafka producers. In fact, for the case of kafka sink, it
might be correct to skip cleanup step. I have
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maybe it's worthwhile to separate the dff type functions into a separate rd
so we don't have to rename/switch the parameter?
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--- Diff: R/pkg/R/functions.R ---
@@ -2476,24 +2430,27 @@ setMethod("from_json", signature(x = "Column",
schema = "structType"),
column
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column(jc)
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add @zero323
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Github user JoshRosen commented on a diff in the pull request:
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--- Diff:
core/src/main/scala/org/apache/spark/scheduler/LiveListenerBus.scala ---
@@ -226,3 +246,61 @@ private[spark] object LiveListenerBus {
val
Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/18083#discussion_r118628985
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/LiveListenerBus.scala ---
@@ -226,3 +246,61 @@ private[spark] object LiveListenerBus {
val
Github user jiangxb1987 commented on a diff in the pull request:
https://github.com/apache/spark/pull/18110#discussion_r118628562
--- Diff:
core/src/main/scala/org/apache/spark/internal/config/ConfigReader.scala ---
@@ -102,4 +102,16 @@ private[spark] class ConfigReader(conf:
Conf
Github user SparkQA commented on the issue:
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Github user ericl commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/executor/Executor.scala ---
@@ -338,6 +340,9 @@ private[spark] class Executor(
metricsSystem =
Github user dongjoon-hyun commented on the issue:
https://github.com/apache/spark/pull/17087
Hi, All.
I'm wondering if it is too late for Spark 2.2.0 to include this.
Is this too risky for that?
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