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Github user jodersky commented on the issue:
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> Yes, I think so. It just needs more lines :)
I think the solution you propose is sound. Do you think that a quick
mention about avoiding the `BlockingContext` in a comment would help in
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Github user zsxwing commented on the issue:
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retest this please
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> Would installing a custom BlockingContext on threads that run tasks also
work?
Yes, I think so. It just needs more lines :)
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Github user tdas commented on a diff in the pull request:
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--- Diff: core/src/test/scala/org/apache/spark/util/UtilsSuite.scala ---
@@ -274,65 +276,102 @@ class UtilsSuite extends SparkFunSuite with
Github user mridulm commented on a diff in the pull request:
https://github.com/apache/spark/pull/15512#discussion_r83752469
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/TaskResultGetter.scala ---
@@ -84,6 +90,7 @@ private[spark] class TaskResultGetter(sparkEnv:
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Github user shivaram commented on the issue:
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Cool - @falaki lets see if @wangmiao1981 debugging finds anything in the
next day or so ? The only thing that would be good is to get this in for 2.0.2
cut if that is happening soon.
Github user tdas commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -1448,14 +1450,35 @@ private[spark] object Utils extends Logging {
Github user tdas commented on a diff in the pull request:
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--- Diff:
core/src/main/scala/org/apache/spark/util/logging/RollingFileAppender.scala ---
@@ -142,6 +172,12 @@ private[spark] object RollingFileAppender {
Github user tdas commented on a diff in the pull request:
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--- Diff:
core/src/main/scala/org/apache/spark/deploy/worker/ui/LogPage.scala ---
@@ -115,6 +117,19 @@ private[ui] class LogPage(parent: WorkerWebUI) extends
Github user tdas commented on a diff in the pull request:
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--- Diff:
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@@ -115,6 +117,19 @@ private[ui] class LogPage(parent: WorkerWebUI) extends
Github user jodersky commented on the issue:
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That makes sense, thanks for explaining. Would installing a custom
`BlockingContext` on threads that run tasks also work? I'm not very familiar
with the internals of the Awaitable api so I'm just
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Github user sethah commented on the issue:
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ping @holdenk @viirya
I think this is ready now :)
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Can one of the admins verify this patch?
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GitHub user weiqingy opened a pull request:
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[MINOR][DOC] Add more built-in sources in sql-programming-guide.md
## What changes were proposed in this pull request?
Add more built-in sources in sql-programming-guide.md.
## How
Github user zsxwing commented on the issue:
https://github.com/apache/spark/pull/15520
> Is it to avoid the blocking() call in Await?
Yep.
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Github user jodersky commented on the issue:
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I'm not sure I completely understand why you have to use `Awaitable`
instead of `Await`. Is it to avoid the [`blocking()` call in
Github user tejasapatil commented on the issue:
https://github.com/apache/spark/pull/13775
Earlier this year I had spent some time trying out Presto's ORC reader with
Spark.
In standalone benchmark, Presto's ORC reader is 3x faster than the one in
Hive. My experimental
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Github user ericl commented on a diff in the pull request:
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--- Diff:
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---
@@ -626,8 +626,9 @@ class
Github user ericl commented on a diff in the pull request:
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--- Diff:
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@@ -0,0 +1,66 @@
+/*
+ * Licensed to the Apache
Github user ericl commented on a diff in the pull request:
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--- Diff:
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@@ -0,0 +1,66 @@
+/*
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Github user tdas commented on the issue:
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^^ The test failure above seems to be unrelated.
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Github user shivaram commented on the issue:
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Jenkins, retest this please
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Github user falaki commented on the issue:
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@shivaram I think they are unrelated. Can you trigger another test?
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[SPARK-17980] [SQL] Fix refreshByPath for converted Hive tables
## What changes were proposed in this pull request?
There was a bug introduced in https://github.com/apache/spark/pull/14690
Github user kishorvpatil commented on a diff in the pull request:
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--- Diff: yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala ---
@@ -760,7 +787,7 @@ private[spark] class Client(
.foreach { case
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15450
The cases you enumerated are the ones I was thinking of. The changes
introduced here would alleviate those problems, I agree. What I'm wondering is
if this problem still exists in other cases. If
Github user mallman commented on a diff in the pull request:
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@@ -626,8 +626,9 @@ class
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Github user tdas commented on the issue:
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@lw-lin please take a look.
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I opened a PR after modifying your branch #15519. Since you did the initial
investigation, I will mark you as the author when I merge it.
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--- Diff:
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@@ -0,0 +1,66 @@
+/*
+ * Licensed to the Apache
Github user rxin commented on a diff in the pull request:
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Github user gatorsmile commented on the issue:
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Thank you! Will do it soon.
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Github user yhuai commented on the issue:
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@gatorsmile If this pr fixes the problem related to the build, I am fine to
merge it.
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Retest this please.
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--- Diff:
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@@ -0,0 +1,66 @@
+/*
+ * Licensed to the Apache
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/15421
@shivaram Thanks for your explanation! I can continue debugging this as
you pointed and I can constantly reproduce the issue. For this PR, I think it
is fine for handling the `NA` in the
Github user ajbozarth commented on the issue:
https://github.com/apache/spark/pull/15490
@steveloughran Since you opened the JIRA do you mind taking a look?
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Github user tdas commented on the issue:
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I am closing this. I opened a new PR for more testing of a fix -
https://github.com/apache/spark/pull/15497
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GitHub user tdas opened a pull request:
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[SQL][STREAMING][TEST] Fix flaky tests in StreamingQueryListenerSuite
This work has largely been done by @lw-lin in his PR #15497. This is a
slightly refactoring of it.
## What changes were
GitHub user zsxwing opened a pull request:
https://github.com/apache/spark/pull/15520
[SPARK-13747][SQL]Fix concurrent executions in ForkJoinPool for SQL
## What changes were proposed in this pull request?
Calling `Await.result` will allow other tasks to be run on the same
Github user MLnick commented on the issue:
https://github.com/apache/spark/pull/9
Good points. Perhaps a solution - while slightly "verbose", is to introduce
another param `initialModelWriteMode` which governs what is saved - `full`,
`params` or `none`. Full is obviously the
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Github user shivaram commented on the issue:
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Thanks @wangmiao1981 - There are two different kinds of serializations that
happen in SparkR - one is the RPC style serialization where function arguments
are serialized using `writeDate`,
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Github user dongjoon-hyun commented on the issue:
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With today's master, it's like the following. Should we use expression in
`AlterTableDropPartitionCommand`?
```scala
org.apache.spark.sql.AnalysisException: cannot resolve '`country`'
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Github user AmplabJenkins commented on the issue:
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