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--- Diff: core/src/main/scala/org/apache/spark/BarrierCoordinator.scala ---
@@ -187,6 +191,12 @@ private[spark] class BarrierCoordinator(
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Github user HyukjinKwon commented on the issue:
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The problem here is the difference between JSON functionality and JSON
datasource parsing. The JSON function was first added in a way of mimicking
PERMISSIVE mode but not exactly same.
GitHub user superbobry reopened a pull request:
https://github.com/apache/spark/pull/21157
[SPARK-22674][PYTHON] Removed the namedtuple pickling patch
## What changes were proposed in this pull request?
This is a breaking change.
Prior to this commit PySpark patched
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@@ -69,7 +69,7 @@ true
-- !query 8
SELEC
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Merged to master/branch-2.4.
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Reopened and rebased to be merged into the 3.X branch. See discussion in
#21180.
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@HyukjinKwon I've reopened the PR doing this and rebased it on the latest
master, see #21157.
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ok to test
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Github user HyukjinKwon commented on the issue:
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Woah. Okay. Let me add some guys interested in this again (@felixcheung
looks already here) - @ueshin, @BryanCutler, @holdenk amd @JoshRosen
Additionally @rxin too. Here's my understand
Github user mukulmurthy commented on the issue:
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Pushed updates. @zsxwing , I can add refactor Executor.scala so testing is
easier, but I had hoped that doing it this way would allow more testing for
reportHeartbeat in the future. We have pret
Github user superbobry commented on the issue:
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> So, real downside of removing this now is we disallow global scope
namedtuple.
Importable namedtuples and their subclasses could still be used inside an
RDD. Only the namedtuples defin
Github user HyukjinKwon commented on the issue:
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ping @jaceklaskowski
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hmm .. this is actually a regression and compatibility issue we should take
a look into ..
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or SparkSessio
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@srowen, WDYT about we add a rule and exclude them when only they are
legitimate cases?
I wrote a rule locally and these below are (almost) all legitimate cases. I
was thinking we just
Github user gengliangwang commented on the issue:
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I manually ran some queries.
My point was about the value of the column `from_json`, `null` vs
`Row(null, null, ...)`.
Now I am +1 with the proposal of this PR, making the column v
Github user dongjoon-hyun commented on the issue:
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We had better update the code when we touch it.
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[SPARK-25392][Spark Job History]Inconsistent behaviour for pool details in
spark web UI and history server page
## What changes were proposed in this pull request?
1. Added the
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@@ -167,6 +170,56 @@ package object util {
builder.toStr
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cc @vanzin @srowen ,Please review this improvement in History UI
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Also, please fix the tag in the PR title from `[SQL]` to `[CORE]`.
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Ping, @danielvdende .
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Was away on vacation. Closing PR, thanks.
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GitHub user sujith71955 opened a pull request:
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[SPARK-25521][SQL]Job id showing null in the logs when insert into command
Job is finished.
## What changes were proposed in this pull request?
``As part of insert command in FileFormatWr
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--- Diff: core/src/main/scala/org/apache/spark/SparkConf.scala ---
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Cloneable with Loggi
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Github user huaxingao commented on the issue:
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I just saw this fix [SPARK-25525][SQL][PYSPARK] Do not update conf for
existing SparkContext in SparkSession.getOrCreate. #22545
I will remove ```test_create_SparkContext_then_SparkSession```
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GitHub user dbtsai opened a pull request:
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[SPARK-25558][SQL] Pushdown predicates for nested fields in DataSource
Strategy
## What changes were proposed in this pull request?
This PR allows Spark to create predicates for nested fiel
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@gatorsmile @cloud-fan @dongjoon-hyun @viirya
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Thank you, @poplav ! :D
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@HyukjinKwon I think it's OK to fix these instances, yes. We have to be
careful to restrict it to cases where the locale definitely should not matter,
like when comparing enum values and other progra
Github user srowen commented on the issue:
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Is the value logged here always null?
I am not sure if it's meaningful to log mapreduce.job.id, especially given
its name. If there's no meaningful job ID here do we are about it at all? how
abou
Github user sujith71955 commented on the issue:
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> Is the value logged here always null?
> I am not sure if it's meaningful to log mapreduce.job.id, especially
given its name. If there's no meaningful job ID here do we are about it at all?
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Github user srowen commented on the issue:
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I'm not sure I know enough to evaluate this. Is the solution to send all
this info around, or just not link to a pool in this case? I don't know.
For some reason the Github diff is highlighti
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Github user rxin commented on the issue:
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so this change would introduce a pretty big regression?
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Github user dongjoon-hyun commented on a diff in the pull request:
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--- Diff: R/pkg/R/functions.R ---
@@ -2204,6 +2210,26 @@ setMethod("from_json", signature(x = "Column",
schema = "characterOrstructType")
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