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@vanzin do you happen to have any time for checking this please? Thanks.
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@jerryshao @vanzin any more comments?
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@@ -131,13 +134,101 @@ object ExtractEquiJoinKeys extends
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GitHub user jinxing64 opened a pull request:
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[SPARK-22234] Support distinct window functions
## What changes were proposed in this pull request?
This pr proposes to support distinct window functions. After this change,
query like below
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Github user steveloughran commented on the issue:
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> After the job is committed, `skip_dir/tab1/_temporary` will be deleted.
Then when other jobs attempt to commit, an error will be reported.
I see. Yes, that's
Github user kiszk commented on the issue:
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retest this please
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@DazhuangSu are you still working on this?
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@@ -163,6 +170,15 @@ class
Github user kiszk commented on the issue:
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Is it better to update title and the PR description, too?
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--- Diff: core/src/main/scala/org/apache/spark/Dependency.scala ---
@@ -65,15 +65,17 @@ abstract class NarrowDependency[T](_rdd: RDD[T])
extends
Github user xuanyuanking commented on a diff in the pull request:
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--- Diff:
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@@ -0,0 +1,139 @@
+/*
+ * Licensed to the Apache
Github user zecevicp commented on the issue:
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@mgaido91 Regarding the amount of code, maybe you can suggest how to reduce
it? Because I don't see a way...
I think the code is well contained (mostly in separate new classes) and is
not
Github user DylanGuedes commented on the issue:
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Thank you so much for the suggestions! I tried to use IntelliJ a few times
but at the end I always return to sbt/terminal/vim after some frustration
(mainly due to not being able to configure
Github user mn-mikke commented on the issue:
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@DylanGuedes What about `eval.value`?
Example:
```
val evals = children.map(_.genCode(ctx))
val args = ctx.freshName("args")
val inputs = evals.zipWithIndex.map { case
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Well, that is the essence of the contribution: to have a moving window over
the data, instead of a fixed block (per equi-join match). To implement a moving
window you need something like a queue.
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Btw, thank you @mgaido91 and @kiszk for the comments.
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@cloud-fan So your suggestion makes sense - it seems like the best path
forward is to check the `isBroadcast` flag on the BlockId passed in to
`MemoryStore.remove` and release resources only if
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GitHub user xuanyuanking opened a pull request:
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[SPARK-24236][SS] Continuous replacement for ShuffleExchangeExec
## What changes were proposed in this pull request?
1. New RDD named ContinuousShuffleRowRDD
2. New case class
GitHub user mgaido91 opened a pull request:
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[SPARK-23778][CORE] Avoid unneeded shuffle when union gets an empty RDD
## What changes were proposed in this pull request?
When a `union` is invoked on several RDDs of which one is an
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retest this please.
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Github user xuanyuanking commented on the issue:
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cc @jose-torres
As we discussion in #21293, the main difference between us is whether we
can reuse current implementation of scheduler and shuffle, but in this part
about the
Github user viirya commented on the issue:
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@JeetKunDoug The same issue we discuss above. I think if there's a
deserialized version of the variable, it can be not in `MemoryStore` but only
serialized bytes in disk store.
The reason
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@zecevicp for instance do we really need `InMemoryUnsafeRowQueue`? why
`ExternalAppendOnlyUnsafeRowArray` is not ok?
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Github user jinxing64 commented on the issue:
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Does Spark have a jobID in writing path? Below path is an example in my
debugging log:
```
Github user cloud-fan commented on the issue:
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thanks, merging to master/2.3!
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Thanks @HyukjinKwon @BryanCutler @cloud-fan @icexelloss
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@viirya it seems from my admittedly cursory look at where we use the
`cachedValues` reference map that we should be OK in this case - if there's a
deserialized version of the variable (the only
Github user JeetKunDoug commented on a diff in the pull request:
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@cloud-fan @adrian-ionescu
I added a test, please check when you have time.
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https://github.com/apache/spark/pull/21321
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Github user gengliangwang commented on a diff in the pull request:
https://github.com/apache/spark/pull/21319#discussion_r188232881
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/PushDownOperatorsToDataSource.scala
---
@@ -17,48 +17,81 @@
Github user zecevicp commented on a diff in the pull request:
https://github.com/apache/spark/pull/21109#discussion_r188258635
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/planning/patterns.scala
---
@@ -131,13 +134,101 @@ object ExtractEquiJoinKeys extends
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https://github.com/apache/spark/pull/21330
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