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Github user squito commented on the issue:
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> Second thought: PartitionPruningRDD is just an implementation of RDD.
Every user / developer can implement a similar one. Also this doesn't handle
the case mentioned by @felixcheung :
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@@ -87,17 +87,30 @@ class AvroSerializer(rootCatalystType:
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thanks @jiangxb1987, lgtm aside from @mengxr 's comments
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@jzhuge, I think it is confusing that this hint exposes the `shuffle`
boolean flag. The Spark API makes a clear distinction between `repartition` and
`coalesce` where `coalesce` means that Spark
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@cloud-fan, @gatorsmile, this has been ready for final review for a while.
Do you think you'll have some time to look at it?
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
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@@ -1349,6 +1339,29 @@ class DAGScheduler(
s"longer
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@rxin, thanks! I am a bot who has found some folks who might be able to
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@@ -83,8 +83,13 @@ select * from range(1, null)
--
GitHub user rxin opened a pull request:
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[SPARK-24982][SQL] UDAF resolution should not throw AssertionError
## What changes were proposed in this pull request?
When user calls anUDAF with the wrong number of arguments, Spark previously
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@@ -83,8 +83,13 @@ select * from range(1, null)
-- !query 6
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LGTM
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Thanks! Merging to master.
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Yes no objections. There's no concrete problem, and there is upside to
making the change. I think you're aware of the potential issues, and have
thought through them in the context of deeper
Github user zsxwing commented on the issue:
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@srowen May I read your comment as "no objections"? The current PR looks
good to me. If you don't have objections, I will go ahead and merge it.
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Jenkins, retest this please.
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Yes, good argument. Having been burned in the past (actually, by Kafka and
ZK changes, though that's in the past), I'm aware that even compiling against
version B instead of A, with no library code
Github user ijuma commented on the issue:
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Anyway, overall I think you should definitely make this change. Spark users
are currently penalised heavily when running on clusters with the message
format introduced in 0.11.0, which has important
Github user zsxwing commented on the issue:
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@ijuma I see. I was looking at 0.10 jar. Thanks for correcting me.
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@zsxwing `org.apache.kafka.clients.admin.AdminClient` is in the clients
jar. It's not relevant for this PR, I am just mentioning it so if Spark decides
to migrate to that eventually. I see code using
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Yeah, the Java client libraries have been evolved in a compatible manner
for the most part since 0.10.0. The set of broker versions supported by 0.10.0
and 2.0.0 is exactly the same.
The
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@srowen just to be clear, `AdminClient` is not in `kafka-clients` jar. The
user has to add `kafka` jar as a dependency to use `AdminClient`.
In addition, even if this upgrade has some
Github user MaxGekk commented on the issue:
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@jbax I got the following exception on **2.7.3-SNAPSHOT** (commit
e51b0958a):
```
Internal state when error was thrown: line=20, column=20481, record=20,
charIndex=82594, headers=[col0,...,
Github user mccheah commented on the issue:
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Actually can you also update the unit test? Thanks!
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Can you quickly change `[Kubernetes`] to `[K8S]` in the PR title? Will
merge after that is done.
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Yes, and that then impacts programs that depend on this module to use Kafka
0.10+ from Spark. They'd have to update `kafka-clients` too, or would be
automatically updated really. I don't see a
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@srowen I meant that the library is compatible, so if you just change the
version in the pom, it's fine. If you changed the code to use some methods in
AdminClient, then you'd have to be more
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@kiszk, thanks! I am a bot who has found some folks who might be able to
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[WIP][SPARK-23914][SQL][follow-up] refactor ArrayUnion
## What changes were proposed in this pull request?
This PR refactors `ArrayUnion` based on [this
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@ijuma this changes the version of `kakfa-clients` in compile scope, too --
right? looks like it in the POM. That's not just a test change. It's probably
OK if the client is backwards-compatible
Github user ijuma commented on the issue:
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Yes, Kafka clients 0.10.2 and higher support brokers from 0.10.0 and higher
if the protocols being used are available in that version. Since we only
changed test code in this PR, upgrading to 2.0.0
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--- Diff:
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@@ -0,0 +1,193 @@
+/*
+ * Licensed to
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@@ -156,6 +160,14 @@ private[yarn] class
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@@ -249,6 +259,10 @@ private[spark] class Client(
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/functions.scala ---
@@ -1150,16 +1150,48 @@ object functions {
/**
* A column
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ok to test
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/21936
Can one of the admins verify this patch?
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