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@BryanCutler I think this comes up in the Arrow sync yesterday
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[SPARK-23047][PYTHON][SQL] Change MapVector to NullableMapVector in
ArrowColumnVector
## What changes were proposed in this pull request?
This PR changes usage of `MapVector` in Spark
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cc @BryanCutler @ueshin
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Github user ajbozarth commented on the issue:
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Hiding Tables like this has been done elsewhere in the UI (can't remember
where right now though). In that case there's a triangle marker next to the
Header that shows that it's collapsable and
Github user vanzin commented on the issue:
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Yeah, arbitrary name is fine. I tried it yesterday and the script just
yelled at me because it was not an integer. (Filtering out "Apache Spark" is
bonus.)
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Github user squito commented on the issue:
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@vanzin what exactly are you looking for? The one thing which would be
easy is letting you write in an arbitrary jira id (no name searching or
anything), that sound OK?
I guess this bug
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+1
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The hang in test build #85939 was a test issue in ContinuousStressSuite,
which I could reproduce locally by bumping up the rows per second.
When the rate of incoming data is too high,
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Since you're here, would you like to try at add SPARK-23031 to this change?
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Merging to master / 2.3.
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Retest this please.
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Github user shaneknapp commented on the issue:
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confused:
https://user-images.githubusercontent.com/1606572/34838548-533a1790-f6b3-11e7-9fbc-a035a782ccfb.png;>
anyways, i will change the timeout. again.
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test this please
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Yeah I figured it's minor enough we can go ahead and not bother
back-porting to 2.3. I don't mind anyone else backporting.
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Hi, @srowen .
Is this the first Spark 2.4-only commit?
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Have RFormula include VectorSizeHint in pipeline
## What changes were proposed in this pull request?
Including VectorSizeHint in RFormula piplelines will allow them to be
applied to
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Ur, it's not record-level filtering. Maybe, it's because I explained it too
abstractly
[here](https://github.com/apache/spark/pull/19943#discussion_r160251456
). It's stripe-level. So,
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-#
-# Licensed to the Apache Software
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@tgravescs: You are welcome.
Running Spark as (with lower application.maxFailedTasksPerExecutor than
stage.maxFailedTasksPerExecutor):
```
$ bin/spark-shell --master
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@gatorsmile -- the timeout is currently at *six hours*. i am loathe to
bump it any higher.
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Retest this please.
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# limitations under the License.
#
-FROM
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This seems reasonable to me. You can already do `sql("SELECT null")`
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But it is possible to generate NullType data right?
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https://github.com/apache/spark/pull/20223#discussion_r161006918
--- Diff:
core/src/test/java/org/apache/spark/launcher/SparkLauncherSuite.java ---
@@ -137,7 +139,9 @@ public void testInProcessLauncher() throws
Github user gengliangwang commented on a diff in the pull request:
https://github.com/apache/spark/pull/20223#discussion_r160989105
--- Diff:
launcher/src/main/java/org/apache/spark/launcher/AbstractAppHandle.java ---
@@ -91,10 +92,15 @@ LauncherConnection getConnection() {
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