GitHub user abellina opened a pull request:
https://github.com/apache/spark/pull/22025
SPARK-25043: print master and appId from spark-sql on startup
## What changes were proposed in this pull request?
A small change to print the master and appId from spark-sql as with
GitHub user jiangxb1987 opened a pull request:
https://github.com/apache/spark/pull/22026
[SPARK-25045][CORE] Make `RDDBarrier.mapParititions` similar to
`RDD.mapPartitions`
## What changes were proposed in this pull request?
Signature of the function passed to
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--- Diff:
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@@ -0,0 +1,212 @@
+/*
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@@ -49,4 +51,11 @@ object DataSourceUtils {
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--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala ---
@@ -336,7 +336,7 @@ private[spark] class SparkSubmit extends Logging {
Github user xuanyuanking commented on a diff in the pull request:
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@@ -365,3 +364,101 @@ case class
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@@ -267,22 +267,23 @@ case class
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+/*
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retest this please
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@@ -0,0 +1,212 @@
+/*
+ *
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Github user rdblue commented on the issue:
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@cloud-fan, that's fine with me since #17185 is already merged. Would this
conflict with #17185? We can just add a case that detects whether the first
identifier in the seq is a catalog when
Github user viirya commented on the issue:
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LGTM
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Github user vincent-grosbois commented on the issue:
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Actually I spoke too soon!
We spotted some regression in TorrentBroadcast:
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@@ -60,14 +61,26 @@ private[spark] object PythonEvalType {
*/
Github user dbtsai commented on the issue:
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Thanks all!
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Github user MaxGekk commented on the issue:
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@maryannxue Please, have a look at the PR.
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Github user shaneknapp commented on the issue:
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i'm also more than happy to bump the timeout in the PRB build, but i think
that's just putting duct tape on a band-aid and spray painting it to hide the
layers of tape.
the builds and
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Github user ueshin commented on the issue:
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Thanks! merging to master.
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Github user rdblue commented on the issue:
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Okay, workers are tracked in `PythonWorkerFactory`. Its `create` method
returns an idle worker if one is available. When a task finishes, it calls
`SparkEnv.releasePythonWorker` that calls
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Github user rdblue commented on the issue:
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Posting this as a comment instead of in a thread so it doesn't get lost. In
response to @holdenk's question about memory allocation to workers:
That `useDaemon` flag controls whether
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