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> it just means that for very long-running streams task restarts will
eventually run out.
Ah, I know your means. Yeah, if we support task level retry we should also
set the task retry
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[SPARK-23532][Standalone]Improve data locality when launching new executors
for dynamic allocation
## What changes were proposed in this pull request?
Currently Spark on Yarn supports better
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--- Diff:
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---
@@ -33,4 +33,16 @@
* as a
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[SPARK-23533][SS] Add support for changing ContinuousDataReader's
startOffset
## What changes were proposed in this pull request?
As discussion in #20675, we need add a new interface
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retest this please
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> a extra boolean expression was added to test if a regex was present.
Can you please explain what's the meaning of "if a regex was present"?
Seems the fix is not so necessary. If
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Jenkins, retest this please
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@gatorsmile Is any issue with this PR? can you please re look into this.
Thanks
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LGTM
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Finally, Spark 2.3 passes the vote. Could you review this, @gatorsmile ?
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retest this please
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Hi, @gatorsmile and @cloud-fan .
Since 2.3 vote passed, can we have this in `branch-2.3` for Apache Spark
2.3.1?
The conflicts on `LocalRelation.scala` is simply due to indentation
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Rebased to the master.
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Hi, @jiangxb1987 , thanks for your kindly explanation.
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--- Diff:
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---
@@ -0,0 +1,94 @@
+/*
+ *
Github user jiangxb1987 commented on the issue:
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In case the same `BlockManagerId` being created multiple times, this cache
will ensure we always use the first one that is created, which make it possible
for the rest `BlockManagerId`
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@@ -107,19 +104,36 @@ case class
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Hi @rdblue , I've opened https://issues.apache.org/jira/browse/SPARK-23531
to include the type info. I'd like to do it later as it's a general problem in
Spark SQL and many plans need to be
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Hi, @caneGuy , sorry for my previous comment as I mixed up ```BlockId```
with ```BlockManagerId```, and leave some wrong comments. And thanks for your
reply.
Back to now, I have the same
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Will try to clean up soon.
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--- Diff: docs/sql-programming-guide.md ---
@@ -1689,6 +1689,10 @@ using the call `toPandas()` and when creating a
Spark DataFrame from a Pandas Da
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add to whitelist
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ok to test
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Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/20667
LGTM
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