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val
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/**
* A s
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[SPARK-24163][SPARK-24164][SQL] Support column list as the pivot column in
Pivot
## What changes were proposed in this pull request?
1. Bug fixing in Analyzer for Pivot node.
2. Ext
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Github user tdas commented on the issue:
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I think the right solution is to record the updateat watermark in the
commit log, so that the updated watermark can be read back from the commit log
next time the stream is started.
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+-- Automatically generated by SQ
Github user tdas commented on the issue:
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Thanks @arunmahadevan for making this PR. However, I dont like the solution
of adding another field as a workaround thus making the control flow harder to
reason about. I think the fundamental problem
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@@ -88,12 +93,12 @@ PIVOT (
);
-- pivot with aliases and projection
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@tdas , thanks for your comments. Yes theres problem with the current
abstraction, and I didn't consider refactoring it since there have been
multiple changes to this class without changing th
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Github user HeartSaVioR commented on the issue:
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I would like to add numbers to pursuade how much this patch is helpful for
end users of Apache Spark.
I crafted and published a project which implements some stateful use cases
with IoT
GitHub user arunmahadevan opened a pull request:
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[SPARK-24748][SS] Support for reporting custom metrics via StreamingQuery
Progress
## What changes were proposed in this pull request?
Currently the Structured Streaming sources and
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Thx @HeartSaVioR .I am looking forward to your solution.
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--- Diff: core/src/main/scala/org/apache/spark/storage/BlockManager.scala
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@@ -1569,7 +1569,7 @@ private[spark] object BlockManager {
va
Github user jerryshao commented on the issue:
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Any update on this issue @felixcheung , this blocks 2.3.2 release, just
want to make sure if it is still in-progress.
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I think this proposal is necessary.
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va
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I think that SS'metrics should be report to Spark UI. Then user can lean
application operations!
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+/*
--- End diff --
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Github user yuanboliu commented on the issue:
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@koeninger Thanks for your details. Sorry quite busy this week. I will
delete the last pause, test the patch on my own cluster this weekend and give
feedback asap.
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Will go ahead on this weekends. If you guys find some times please go ahead
till then.
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I am merging this to show up other benchmark results in @wangyum's PRs.
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Github user viirya commented on the issue:
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Based on the comment, this null check is for preventing encoding a Product
type to a null top-level row. For `Option[Int]`, it is encoded to an int column
in a top-level row.
An example look
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Please publish the above results to the thread where you requested review
from committers.
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Github user kiszk commented on the issue:
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ping @rednaxelafx
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
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@@ -3261,3 +3261,339 @@ case class ArrayDisti
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
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@@ -3261,3 +3261,339 @@ case class ArrayDisti
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
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@@ -3261,3 +3261,339 @@ case class ArrayDisti
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
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sql/core/src/main/scala/org/apache/spark/sql/execution/command/CommandUtils.scala
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@@ -47,15 +48,26 @@ object CommandUtils extends Logging {
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