passed in 28 second
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On Tue, Jun 20, 2023 at 4:41 AM Dongjoon Hyun wrote:
> Please vote o
+0
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On Wed, Jun 21, 2023 at 5:11 PM Amanda Liu
wrote:
> Hi all,
>
> I'd like to s
like to work on new data sources but
support their wishes wholeheartedly :)
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On Fri, Jun 16, 2
+1
* Built fine with Scala 2.13
and -Pkubernetes,hadoop-cloud,hive,hive-thriftserver,scala-2.13,volcano
* Ran some demos on Java 17
* Mac mini / Apple M2 Pro / Ventura 13.3.1
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+1
Compiled on Java 17 with Scala 2.13 on macos and ran some basic code.
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On Thu, Mar 30, 20
Hey Maxim,
Very great kudos for the idea!
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On Fri, Mar 17, 2023 at 2:18 PM Maxim Gekk
Yoohoo! Thanks Yuming for driving this release. A tiny step for Spark a
huge one for my clients (who still are on 3.2.1 or even older :))
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Hi,
I don't want to hijack the voting thread but given I faced
https://issues.apache.org/jira/browse/SPARK-36904 in RC6 I wonder if it's
-1.
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Hi,
Just ran a freshly-built 3.2.0 RC6 and faced an issue (that seems to be
reported earlier on SO):
> The specified datastore driver ("org.postgresql.Driver") was not found in
the CLASSPATH
More details in https://issues.apache.org/jira/browse/SPARK-36904
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Salut Sean !
Merci beaucoup mon ami Sean ! That's exactly an answer I hoped for. Thank
you!
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<
. Would a PR with such
a change be acceptable? (Sean I'm looking at you :D)
[1]
https://github.com/apache/spark/blob/8d817dcf3084d56da22b909d578a644143f775d5/sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/OptimizeShuffleWithLocalRead.scala#L89-L93
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Thanks Wenchen. If it's ever asked on SO I'm simply gonna quote you :)
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lob/54cca7f82ecf23e062bb4f6d68697abec2dbcc5b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala#L519-L530
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://github.com/apache/spark/blob/54cca7f82ecf23e062bb4f6d68697abec2dbcc5b/sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala#L638
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Hi Yi Wu,
Looks like the issue has got resolution: Won't Fix. How about your -1?
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]
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On Sun, Aug 22, 2021 at 12:45 PM Jacek Laskowski wrote:
> Hi G
25.292-b10, mixed mode)
BTW, Shouldn't the page [1] be updated to reflect this? This is what I
followed.
[1]
https://spark.apache.org/docs/latest/building-spark.html#setting-up-mavens-memory-usage
Thanks
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TS
-Xmx8g -XX:ReservedCodeCacheSize=1g
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On Fri, Aug 20, 2021 at
s#diff-4d16a733f8741de9a4b839ee7c356c3e9b439b4facc70018f5741da1e930c6a8R51-R54
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Big shout-out to you, Dongjoon! Thank you.
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Hi,
Congrats to all of you committers! Wishing you all the best (commits)!
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Hi Hyukjin,
FYI: cloud-fan commented 3 hours ago: thanks, merging to master/3.1!
https://github.com/apache/spark/pull/31550#issuecomment-781977920
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Hi,
I'm "okay to add RocksDB StateStore as external module". See no reason not
to.
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Hi,
http://spark.apache.org/contributing.html ?
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On Sat, J
/ExecutorPodsPollingSnapshotSource.scala#L62
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Hi Hyukjin,
Agreed. I asked to see if I'm not missing anything. Thank you.
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ould leave it as is as an "easter egg"-like thing too)
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sAllocator: ResourceProfile Id: 0 pod
allocation status: 2 running, 0 pending. 0 unacknowledged.
21/01/19 12:23:29 DEBUG ExecutorPodsAllocator: ResourceProfile Id: 0 pod
allocation status: 2 running, 0 pending. 0 unacknowledged.
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&quo
.scala#L72
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Hi Sean,
+1 to leave it. Makes so much more sense (as that's what really happened
and the history of Apache Spark is...irreversible).
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Hi,
BTW, wondering aloud. Since it was agreed to skip 3.1.0 and go ahead with
3.1.1, what's gonna happen with v3.1.0 tag [1]? Is it going away and we'll
see 3.1.1-rc1?
[1] https://github.com/apache/spark/tree/v3.1.0-rc1
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Hi,
I'm just reading this now. I'm for 3.1.1 with no 3.1.0 but the news that
we're skipping that particular release. Gonna be more fun! :)
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Hi,
I'm curious why Spark 3.1.0 is already available in repo1.maven.org?
https://repo1.maven.org/maven2/org/apache/spark/spark-core_2.12/3.1.0/
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spark/blob/094563384478a402c36415edf04ee7b884a34fc9/core/src/main/scala/org/apache/spark/scheduler/StageInfo.scala#L108
[2]
https://github.com/apache/spark/blob/78df2caec8c94c31e5c9ddc30ed8acb424084181/core/src/main/scala/org/apache/spark/scheduler/dynalloc/ExecutorMonitor.scala#L179
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e/src/main/scala/org/apache/spark/scheduler/dynalloc/ExecutorMonitor.scala#L179
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Thanks Sean for such a quick response! Let me propose a fix for the docs.
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e compiled with Scala 2.12, but that
requires scala-2.12 profile [2] to be enabled)
[1] https://github.com/apache/spark/blob/v2.4.6/pom.xml#L158
[2] https://github.com/apache/spark/blob/v2.4.6/pom.xml#L2830
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/src/main/scala/org/apache/spark/storage/BlockManagerMasterEndpoint.scala#L481
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Thanks Yi Wu!
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On Sat, Apr 18, 2020 at 12:17 PM wuyi wrote:
sAvailable or findMissingPartitions (using MapOutputTrackerMaster)
know it already and I think are even more up-to-date. Why is there this
extra registry?
[1]
https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/scheduler/ShuffleMapStage.scala#L60
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Hi Jungtaek,
Thanks a lot for your answer. What you're saying reflects my understanding
perfectly. There's a small change, but makes understanding where rules are
used much simpler (= less confusing). I'll propose a PR and see where it
goes from there. Thanks!
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master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala#L115
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nal/SQLConf.scala#L1306-L1307
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On Sat, Feb 15, 2020 at 7:44 PM Jacek Laskowsk
ub.com/apache/spark/blob/master/docs/sql-migration-guide.md#upgrading-from-spark-sql-244-to-245
[5] http://spark.apache.org/releases/spark-release-2-4-5.html
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bout batches.
>
> Thanks,
> Jungtaek Lim (HeartSaVioR)
>
> On Tue, Oct 8, 2019 at 6:12 PM Jacek Laskowski wrote:
>
>> Hi,
>>
>> I haven't spent much time on it, but the following DEBUG message
>> from WatermarkTracker sparked my interest :)
>>
>> I
don't deal with
>> it. I'll file and submit a patch.
>>
>> Btw, there's a metric bug with empty batch as well - see SPARK-29314 [1]
>> which I've submitted a patch recently.
>>
>> Thanks,
>> Jungtaek Lim (HeartSaVioR)
>>
>> 1. http://issues.apac
for the other modes - Complete and Update.
See
https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/statefulOperators.scala#L329-L365
Is this intentional? Why?
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Hi,
Thanks much for such thorough conversation. Enjoyed it very much.
> Source/Sink traits are in org.apache.spark.sql.execution and thus they
are private.
That would explain why I couldn't find scaladocs.
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ore info before. Thanks!
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weeks!) Gonna be challenging! Hope I won't spread a wrong word.
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t.scala#L422-L428
[3]
https://github.com/apache/spark/blob/v2.4.4/sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala#L62-L81
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Hi,
What a great news! Congrats to all awarded and the community for voting
them in!
p.s. I think it should go to the user mailing list too.
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Hi,
Thanks much for the answers. Learning Spark every day!
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Hi,
Just noticed that Spark 2.4.x uses two netty deps of different versions.
Why?
jars/netty-all-4.1.17.Final.jar
jars/netty-3.9.9.Final.jar
Shouldn't one be excluded or perhaps shaded?
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Hi Devs,
Thanks all for a very prompt response! That was insanely quick. Merci
beaucoup! :)
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/apache/spark/blob/master/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaSource.scala#L102
[2]
https://github.com/apache/spark/blob/master/external/kafka-0-10-sql/src/main/scala/org/apache/spark/sql/kafka010/KafkaMicroBatchStream.scala#L281
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Hi,
Thanks Dongjoon Hyun for stepping up as a release manager!
Much appreciated.
If there's a volunteer to cut a release, I'm always to support it.
In addition, the more frequent releases the better for end users so they
have a choice to upgrade and have all the latest fixes or wait. It's their
is
meant for).
With that being said, I'm wondering why is EventTimeStatsAccum not a SQL
metric then? With that, it'd be in web UI, but just in the physical plan of
a streaming query.
WDYT?
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for review? Please guide as I found it
very helpful (and surprisingly easy to implement so I'm worried I'm missing
something important). Thanks.
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/scala/org/apache/spark/sql/execution/streaming/continuous/ContinuousExecution.scala#L341
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Hi,
I may have asked this question before, but seems I forgot/can't find the
answer.
When is FileSourceScanExec.doExecute executed if ever?
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parquet data source in more detail as we
speak).
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F
Hi,
I don't think so. I can't think of an interface (trait) that would give
that information to the Catalyst optimizer.
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Hi Jean,
I thought the functions have already been tagged?
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Thanks Jungtaek Lim!
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Hi Marco,
Many thanks for such a quick response. With that, I'll direct my curiosity
into a different direction. Thanks!
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la/org/apache/spark/sql/internal/SQLConf.scala#L758-L767
[2]
https://github.com/apache/spark/blob/v2.4.0/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Projection.scala#L159
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uses: Resolved, Done, Fixed? When is an issue marked as
either of them?
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cept my apologizes when sent to a wrong mailing list.
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Wow! That's a nice bunch of contributors. Congrats to all new committers.
I've had tough times to follow all the contributions, but with this crew
it's gonna be nearly impossible.
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Hi,
OK. Sorry for the noise. I don't know why it started working, but I cannot
reproduce it anymore. Sorry for a false alarm (but I could promise it
didn't work and I changed nothing). Back to work...
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relevant. I'm surprised nobody's reported it before. That worries me (or
simply says that all the enterprise deployments simply use YARN with Hive?)
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Mastering Spark SQL https://bit.ly/mastering-spark-sql
Spark Structured Streaming
ad.run(Thread.java:748)
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stem.java:455)
at
org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:440)
at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911)
While it works fine in 2.3.1.
Could anybody explain the change in behaviour in 2.3.2? The commit / the
JIRA issue would be even nicer. Thanks.
Pozdrawiam,
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something that I should not
have been bothered much with.
Thanks Russ and Herman for your help to get my thinking right. That will
also help my Spark clients, esp. during Spark SQL workshops!
Pozdrawiam,
Jacek Laskowski
https://about.me/JacekLaskowski
Mastering Spark SQL https://bit.ly/mastering
Thanks Russ! That helps a lot.
On the other hand makes reviewing the codebase of Spark SQL slightly harder
since Java code generation is so much about string concatenation :(
p.s. Should all the code in doExecute be considered and marked @deprecated?
Pozdrawiam,
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https
age code generation is enabled and is
currently the proper execution path?
p.s. This SparkPlan.doExecute is used to trigger whole-stage code gen
by WholeStageCodegenExec (and InputAdapter), but that's all the code that
is to be executed by doExecute, isn't it?
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or finishAggregate). Is that correct?
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Pozdrawiam,
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Mastering Spark SQL https://bit.ly/mastering-spark-sql
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remove runCommand altogether.
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ort work?
Pozdrawiam,
Jacek Laskowski
https://about.me/JacekLaskowski
Mastering Spark SQL https://bit.ly/mastering-spark-sql
Spark Structured Streaming https://bit.ly/spark-structured-streaming
Mastering Kafka Streams https://bit.ly/mastering-kafka-streams
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think Kafka data source is so
important that it should be included in spark-shell and spark-submit by
default. THANKS!
Pozdrawiam,
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https://about.me/JacekLaskowski
Mastering Spark SQL https://bit.ly/mastering-spark-sql
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helpful.
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Jacek Laskowski
https://about.me/JacekLaskowski
Mastering Spark SQL https://bit.ly/mastering-spark-sql
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rg/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.
scala#L785-L788
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Mastering Kafka Streams htt
/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCOptions.scala#L167
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Hi Marcelo,
How to announce it on twitter @ https://twitter.com/apachespark? How to
make it part of the release process?
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Yay! That's right!!! Thanks Reynold. Such a short answer with so much
information. Thanks.
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tps://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Expression.scala#L275
[2]
https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Expression.scala#L266-L267
Pozdrawiam,
Ja
ing on the methods of Expression or
even QueryPlan to understand the various methods (as that's what triggered
my question).
Thanks.
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Mastering Spark SQL https://bit.ly/mastering-spark-sql
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/scala/org/apache/spark/sql/execution/subquery.scala?utf8=%E2%9C%93#L46
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Mastering Spark SQL https://bit.ly/mastering-spark-sql
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Pozdrawiam,
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Mastering Spark SQL https://bit.ly/mastering-spark-sql
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Hi,
Mesos 0.27.0?! That's been a while. I'd search for the changes to pom.xml
and see when the mesos dependency version changed. That'd give you the most
precise answer. I think it could've been 1.5 or older.
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ache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/ColumnarBatchScan.scala#L38-L40
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/execution/columnar/InMemoryTableScanExec.scala?utf8=%E2%9C%93#L105
[2]
https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/columnar/InMemoryTableScanExec.scala?utf8=%E2%9C%93#L125
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Mastering
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