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Felix Cheung resolved SPARK-26189.
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Resolution: Fixed
Assignee: Huaxin Gao
Fix Version/s: 3.0.0
+1!!
From: Andy Grove
Sent: Friday, November 30, 2018 4:26:21 PM
To: dev@arrow.apache.org
Subject: Re: [VOTE] Accept donation of Rust Parquet implementation
+1 and great to see this happening!
On Fri, Nov 30, 2018 at 4:51 PM Wes McKinney wrote:
> Dear all,
>
+1 (binding)
a few comments below, checked:
filename
signature & hash
DISCLAIMER, LICENSE, NOTICE
build from src
no binary
src files have headers (see below)
comments, not blocker for release IMO:
1.
CREDITS file is a bit non-standard in an ASF release - this is generally
not included as it is
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https://issues.apache.org/jira/browse/SPARK-21291?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16701505#comment-16701505
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Felix Cheung commented on SPARK-21291:
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hmm, ok
> R bucketBy partitionBy
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Felix Cheung commented on SPARK-21291:
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I think we need to reopen this Jira since bucketBy
+1 (non binding)
awesome to see this is taken forward to the incubator and looking forward
to collaborate with the community!
On Tue, Nov 13, 2018 at 9:09 AM Ryan Blue wrote:
> +1 (binding)
>
> On Tue, Nov 13, 2018 at 9:06 AM Ryan Blue wrote:
>
> > The discuss thread seems to have reached
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https://issues.apache.org/jira/browse/SPARK-24255?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16684668#comment-16684668
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Felix Cheung commented on SPARK-24255:
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[~shivaram] I'm thinking if this is handling all version
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Felix Cheung resolved SPARK-26010.
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Resolution: Fixed
Assignee: Felix Cheung
Fix Version/s: 3.0.0
I opened a PR on the vignettes fix to skip eval.
From: Shivaram Venkataraman
Sent: Wednesday, November 7, 2018 7:26 AM
To: Felix Cheung
Cc: Sean Owen; Shivaram Venkataraman; Wenchen Fan; Matei Zaharia; dev
Subject: Re: [CRAN-pretest-archived] CRAN submission
Felix Cheung created SPARK-26010:
Summary: SparkR vignette fails on Java 11
Key: SPARK-26010
URL: https://issues.apache.org/jira/browse/SPARK-26010
Project: Spark
Issue Type: Bug
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Felix Cheung updated SPARK-26010:
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Summary: SparkR vignette fails on CRAN on Java 11 (was: SparkR vignette
fails on Java 11
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https://issues.apache.org/jira/browse/SPARK-25995?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16682762#comment-16682762
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Felix Cheung commented on SPARK-25995:
--
sparkR is just taking the whole string as-is
[https
Considering the timing for Spark 3.0,
> deprecating lower versions, bumping up R to 3.4 might be reasonable
> option.
>
> Adding Shane as well.
>
> If we ended up with not upgrading it, I will forward this email to CRAN
> sysadmin to discuss further anyway.
>
>
>
&
One question is where will the list of capability strings be defined?
From: Ryan Blue
Sent: Thursday, November 8, 2018 2:09 PM
To: Reynold Xin
Cc: Spark Dev List
Subject: Re: DataSourceV2 capability API
Yes, we currently use traits that have methods. Something
Very cool!
From: Hyukjin Kwon
Sent: Thursday, November 8, 2018 10:29 AM
To: dev
Subject: Arrow optimization in conversion from R DataFrame to Spark DataFrame
Hi all,
I am trying to introduce R Arrow optimization by reusing PySpark Arrow
optimization.
It
_20181105_165757/Windows/00check.log
> and
> https://win-builder.r-project.org/incoming_pretest/SparkR_2.4.0_20181105_165757/Debian/00check.log,
> the tests run in 1s.
> On Tue, Nov 6, 2018 at 1:29 PM Felix Cheung wrote:
> >
> > I’d rather not mess with 2.4.0 at this point. On CRA
+1 cool project
On Wed, Nov 7, 2018 at 1:02 AM Gosling Von wrote:
> +1
>
> Good luck ~
>
> Von Gosling
>
>
> > 在 2018年11月7日,下午3:46,hxd 写道:
> >
> > Hi,
> > Sorry for the previous mail with bad format.
> > I'd like to call a VOTE to accept IoTDB project, a database for managing
> large amounts
Is there a list of LTS release that I can reference?
From: Ryan Blue
Sent: Tuesday, November 6, 2018 1:28 PM
To: sn...@snazy.de
Cc: Spark Dev List; cdelg...@apple.com
Subject: Re: Test and support only LTS JDK release?
+1 for supporting LTS releases.
On Tue,
So to clarify, only scala 2.12 is supported in Spark 3?
From: Ryan Blue
Sent: Tuesday, November 6, 2018 1:24 PM
To: d_t...@apple.com
Cc: Sean Owen; Spark Dev List; cdelg...@apple.com
Subject: Re: Make Scala 2.12 as default Scala version in Spark 3.0
+1 to Scala
. Need to investigate but
worse case test_package can run with 0 test.
From: Sean Owen
Sent: Tuesday, November 6, 2018 10:51 AM
To: Shivaram Venkataraman
Cc: Felix Cheung; Wenchen Fan; Matei Zaharia; dev
Subject: Re: [CRAN-pretest-archived] CRAN submission SparkR
+1 for Spark 3, definitely
Thanks for the updates
From: Sean Owen
Sent: Tuesday, November 6, 2018 9:11 AM
To: Felix Cheung
Cc: dev
Subject: Re: Java 11 support
I think that Java 9 support basically gets Java 10, 11 support. But
the jump from 8 to 9
Speaking of, get we work to support Java 11?
That will fix all the problems below.
From: Felix Cheung
Sent: Tuesday, November 6, 2018 8:57 AM
To: Wenchen Fan
Cc: Matei Zaharia; Sean Owen; Spark dev list; Shivaram Venkataraman
Subject: Re: [CRAN-pretest-archived
We have not been able to publish to CRAN for quite some time (since 2.3.0 was
archived - the cause is Java 11)
I think it’s ok to announce the release of 2.4.0
From: Wenchen Fan
Sent: Tuesday, November 6, 2018 8:51 AM
To: Felix Cheung
Cc: Matei Zaharia; Sean
some ideas.
Matei
> On Nov 5, 2018, at 9:09 PM, Felix Cheung wrote:
>
> I don¡Št know what the cause is yet.
>
> The test should be skipped because of this check
> https://github.com/apache/spark/blob/branch-2.4/R/pkg/inst/tests/testthat/test_basic.R#L21
>
> And this
>
:
callJStatic("org.apache.spark.ml.r.GeneralizedLinearRegressionWrapper", "fit",
formula,
The earlier release was achived because of Java 11+ too so this unfortunately
isn’t new.
From: Sean Owen
Sent: Monday, November 5, 2018 7:22 PM
To: Felix Cheung
FYI. SparkR submission failed. It seems to detect Java 11 correctly with
vignettes but not skipping tests as would be expected.
Error: processing vignette ‘sparkr-vignettes.Rmd’ failed with diagnostics:
Java version 8 is required for this package; found version: 11.0.1
Execution halted
*
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Felix Cheung commented on SPARK-25923:
--
thanks - what's the exchange required with CRAN admin
Thanks for being this up and much appreciate with keeping on top of this at
all times.
Can upgrading R able to fix the issue. Is this perhaps not necessarily
malform but some new format for new versions perhaps? Anyway we should
consider upgrading R version if that fixes the problem.
As an
+1
Checked R doc and all R API changes
From: Denny Lee
Sent: Wednesday, October 31, 2018 9:13 PM
To: Chitral Verma
Cc: Wenchen Fan; dev@spark.apache.org
Subject: Re: [VOTE] SPARK 2.4.0 (RC5)
+1
On Wed, Oct 31, 2018 at 12:54 PM Chitral Verma
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Felix Cheung resolved SPARK-25859.
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Resolution: Fixed
Assignee: Huaxin Gao
Fix Version/s: 2.4.0
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Felix Cheung resolved SPARK-16693.
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Resolution: Fixed
Assignee: Felix Cheung
Fix Version/s: 3.0.0
> Remov
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Felix Cheung commented on SPARK-12172:
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sounds good
> Consider removing SparkR internal RDD A
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Felix Cheung resolved SPARK-15545.
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Resolution: Duplicate
> R remove non-exported unused methods, like json
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Felix Cheung updated SPARK-15545:
-
Affects Version/s: 2.3.2
External issue ID: SPARK-12172
> R remove non-exported unu
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Felix Cheung edited comment on SPARK-12172 at 10/26/18 4:11 AM:
ok
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Felix Cheung commented on SPARK-12172:
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ok, what's our option for spark.lapply?
> Consi
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Felix Cheung commented on SPARK-16611:
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ping - we are going to consider removing RDD methods
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Felix Cheung commented on SPARK-16611:
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see SPARK-12172
> Expose several hidden DataFrame/
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Felix Cheung commented on SPARK-16693:
--
rebuilt this on spark 3.0.0
> Remove R deprecated meth
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Felix Cheung updated SPARK-16693:
-
Description: For methods deprecated in Spark 2.0.0, we should remove them
in 2.1.0 -> 3.
Yes please!
From: Ryan Blue
Sent: Thursday, October 25, 2018 1:10 PM
To: Spark Dev List
Subject: DataSourceV2 hangouts sync
Hi everyone,
There's been some great discussion for DataSourceV2 in the last few months, but
it has been difficult to resolve some of
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Felix Cheung resolved SPARK-24572.
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Resolution: Fixed
Assignee: Weiqiang Zhuang
Fix Version/s: 3.0.0
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https://issues.apache.org/jira/browse/SPARK-24516?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felix Cheung resolved SPARK-24516.
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Resolution: Fixed
Assignee: Ilan Filonenko
Fix Version/s: 3.0.0
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https://issues.apache.org/jira/browse/SPARK-22947?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16658377#comment-16658377
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Felix Cheung edited comment on SPARK-22947 at 10/21/18 8:53 PM:
so
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Felix Cheung commented on SPARK-22947:
--
so what's our take on this? it seems quite useful for time
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Felix Cheung resolved SPARK-24207.
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Resolution: Fixed
Fix Version/s: 3.0.0
> PrefixSpan: R
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Felix Cheung reassigned SPARK-24207:
Assignee: Huaxin Gao
> PrefixSpan: R API
> -
>
>
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Felix Cheung commented on SPARK-25634:
--
how about off-heap and netty buffer usage?
> New Metr
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Felix Cheung resolved SPARK-25675.
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Resolution: Fixed
Fix Version/s: 3.0.0
> [Spark Job History] Job UI page does not s
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Felix Cheung reassigned SPARK-25675:
Assignee: Shivu Sondur
> [Spark Job History] Job UI page does not show paginat
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Felix Cheung updated SPARK-25730:
-
Affects Version/s: (was: 2.5.0)
> Kubernetes scheduler tries to read pod deta
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Felix Cheung reassigned SPARK-25730:
Assignee: Mike Kaplinskiy
> Kubernetes scheduler tries to read pod details that it j
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Felix Cheung resolved SPARK-25730.
--
Resolution: Fixed
Fix Version/s: 3.0.0
> Kubernetes scheduler tries to read
Very cool!
From: Jeff Zhang
Sent: Friday, October 19, 2018 7:14 AM
To: dev@zeppelin.apache.org
Subject: Re: Zeppelin add hadoop submarine(machine learning framework)
interpreter
Thanks xun. This would be a great addon for zeppelin to support deep
learning. I
I’m in favor of it. If you check the PR it’s a few isolated script changes and
all test-only changes. Should have low impact on release but much better
integration test coverage.
From: Erik Erlandson
Sent: Tuesday, October 16, 2018 8:20 AM
To: dev
Subject:
1 seems like its spending a lot of time in R (slicing the data I guess?) and
not with Spark
2 could you write it into a csv file locally and then read it from Spark?
From: ayan guha
Sent: Monday, October 8, 2018 11:21 PM
To: user
Subject: SparkR issue
Hi
We
Jars and libraries only accessible locally at the driver is fairly limited?
Don’t you want the same on all executor?
From: Yinan Li
Sent: Friday, October 5, 2018 11:25 AM
To: Stavros Kontopoulos
Cc: rve...@dotnetrdf.org; dev
Subject: Re: [DISCUSS][K8S] Local
Sounds like a good idea?
Would this be a step in the direction of supporting variation of the SQL
dialect, too?
From: Ryan Blue
Sent: Thursday, October 4, 2018 8:56 AM
To: Spark Dev List
Subject: Spark SQL parser and DDL
Hi everyone,
I’ve been working on
I think it has been an important “selling point” that Spark is “mostly
compatible“ with Hive DDL.
I have see a lot of teams suffering from switching between Presto and Hive
dialects.
So one question I have is, we are at a point of switch from Hive compatible to
ANSI SQL, say?
Perhaps a more
Although like you said, spark support for scala 2.12 is beta anyway then
shouldn’t we get it to a working state by basing on 2.12.7? There shouldn’t be
a stability issue since it is not officially “supported”
From: Wenchen Fan
Sent: Monday, October 1, 2018
Not officially. We have seen problem with JDK 10 as well. It will be great if
you or someone would like to contribute to get it to work..
From: kant kodali
Sent: Tuesday, September 25, 2018 2:31 PM
To: user @spark
Subject: can Spark 2.4 work on JDK 11?
Hi All,
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https://issues.apache.org/jira/browse/SPARK-25572?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felix Cheung updated SPARK-25572:
-
Description:
follow up to SPARK-24255
from 2.3.2 release we can see that CRAN doesn't seem
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https://issues.apache.org/jira/browse/SPARK-25572?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16633129#comment-16633129
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Felix Cheung commented on SPARK-25572:
--
[~cloud_fan] while not a blocker, it would be great
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Felix Cheung commented on SPARK-25572:
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[~shivaram]
> SparkR tests failed on CRAN on Java
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Felix Cheung resolved SPARK-25572.
--
Resolution: Fixed
Fix Version/s: 2.5.0
2.4.1
Target
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Felix Cheung updated SPARK-25572:
-
Summary: SparkR tests failed on CRAN on Java 10 (was: SparkR to skip tests
because Java 10
Felix Cheung created SPARK-25572:
Summary: SparkR to skip tests because Java 10
Key: SPARK-25572
URL: https://issues.apache.org/jira/browse/SPARK-25572
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-21291?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16630410#comment-16630410
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Felix Cheung commented on SPARK-21291:
--
Wait. I don’t think saveAsTable is the same thing?
>
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Felix Cheung commented on SPARK-21291:
--
The PR did not have bucketBy?
> R bucketBy partitio
It looks like the native R process is terminated from buffer overflow. Do you
know how much data is involved?
From: Junior Alvarez
Sent: Wednesday, September 26, 2018 7:33 AM
To: user@spark.apache.org
Subject: spark.lapply
Hi!
I’m using spark.lapply() in
DISCUSS thread is good to have...
From: Marco Gaido
Sent: Friday, September 21, 2018 3:31 AM
To: Wenchen Fan
Cc: dev
Subject: Re: SPIP: support decimals with negative scale in decimal operation
Hi Wenchen,
Thank you for the clarification. I agree that this is
I think the point is we actually need to do these validation before completing
the release...
From: Wenchen Fan
Sent: Friday, September 21, 2018 12:02 AM
To: Sean Owen
Cc: Spark dev list
Subject: Re: 2.4.0 Blockers, Critical, etc
Sean thanks for checking them!
Very cool project. Would love to act as mentor (went through incubator with
a project myself) but I’m not on IPMC.
Would try to help in other ways. Keep it up!
On Thu, Sep 20, 2018 at 7:34 PM Huxing Zhang wrote:
> Hi community,
>
> The Apache Dubbo project now has two active mentors, and is
Hi
+baibing3
+huangtao6
Came across your presentation on Alluxio - including shuffling - would you be
interested in this?
From: Matt Cheah
Sent: Tuesday, September 4, 2018 2:54 PM
To: Yuanjian Li
Cc: Spark dev list
Subject: Re: [Feedback Requested]
Definitely!
numba numbers are amazing
From: Wes McKinney
Sent: Saturday, September 8, 2018 7:46 AM
To: Li Jin
Cc: dev@spark.apache.org
Subject: Re: [DISCUSS] PySpark Window UDF
hi Li,
These results are very cool. I'm excited to see you continuing to push
this
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https://issues.apache.org/jira/browse/SPARK-23648?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felix Cheung resolved SPARK-23648.
--
Resolution: Fixed
Assignee: Huaxin Gao
Fix Version/s: 2.5.0
> extend h
If we could work on this quickly - it might get on to future RCs.
From: Stavros Kontopoulos
Sent: Monday, September 17, 2018 2:35 PM
To: Yinan Li
Cc: Xiao Li; eerla...@redhat.com; van...@cloudera.com.invalid; Sean Owen;
Wenchen Fan; dev
Subject: Re: [VOTE]
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Felix Cheung commented on SPARK-24572:
--
thanks! very close - showDF doesn't return anything so we
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Felix Cheung edited comment on SPARK-21291 at 9/17/18 6:07 AM:
---
I think
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Felix Cheung commented on SPARK-21291:
--
I think it should be like this one
[https
I don’t think we should remove any API even in a major release without
deprecating it first...
From: Mark Hamstra
Sent: Sunday, September 16, 2018 12:26 PM
To: Erik Erlandson
Cc: u...@spark.apache.org; dev
Subject: Re: Should python-2 be supported in Spark 3.0?
I don’t think we should remove any API even in a major release without
deprecating it first...
From: Mark Hamstra
Sent: Sunday, September 16, 2018 12:26 PM
To: Erik Erlandson
Cc: user@spark.apache.org; dev
Subject: Re: Should python-2 be supported in Spark 3.0?
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https://issues.apache.org/jira/browse/SPARK-21291?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16613994#comment-16613994
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Felix Cheung commented on SPARK-21291:
--
No, you wouldn’t return a writer in R. I will reply
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https://issues.apache.org/jira/browse/SPARK-23200?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16610089#comment-16610089
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Felix Cheung commented on SPARK-23200:
--
probably need someone to rebuild on the current config
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https://issues.apache.org/jira/browse/SPARK-22632?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16610083#comment-16610083
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Felix Cheung commented on SPARK-22632:
--
mismatch between R and JVM time zone could be an issue
I’m a bit concern about what Arun is summarizing?
We are building on DSv2 and already have to rewrite for bunch of changes in
master/2.4, increasing in cost for dev work and release management.
If we are saying more changes are coming in 3.0, do we have more info on what
value the current
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Felix Cheung resolved SPARK-25117.
--
Resolution: Fixed
Assignee: Dilip Biswal
> Add EXEPT ALL and INTERSECT ALL support i
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Felix Cheung updated SPARK-25117:
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Fix Version/s: 2.4.0
> Add EXEPT ALL and INTERSECT ALL support i
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https://issues.apache.org/jira/browse/SPARK-25007?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felix Cheung resolved SPARK-25007.
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Resolution: Fixed
Fix Version/s: 2.4.0
> Add array_intersect / array_exc
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https://issues.apache.org/jira/browse/SPARK-25007?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felix Cheung reassigned SPARK-25007:
Assignee: Huaxin Gao
> Add array_intersect / array_except /array_union / array_shuf
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https://issues.apache.org/jira/browse/SPARK-24434?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16599380#comment-16599380
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Felix Cheung commented on SPARK-24434:
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.. and let's make sure any discussion are summarized
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https://issues.apache.org/jira/browse/SPARK-25275?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felix Cheung reassigned SPARK-25275:
Assignee: Erik Erlandson
> require memberhip in wheel to run 'su' (in dockerfi
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https://issues.apache.org/jira/browse/SPARK-24433?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felix Cheung reassigned SPARK-24433:
Assignee: Ilan Filonenko
> Add Spark R supp
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https://issues.apache.org/jira/browse/SPARK-24434?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16598300#comment-16598300
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Felix Cheung commented on SPARK-24434:
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so [~onursatici] is there a reason you open a PR even
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Felix Cheung commented on SPARK-24434:
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[~skonto] - hi what's happening? Henry is right, with Spark
+1 on what Li said.
And +1 on getting more coverage in unit tests - however often times we omit
python unit tests deliberately if the python “wrapper” is trivial. This is what
I’ve learned over the years from the previous pyspark maintainers. Admittedly
gaps are there.
+1
From: Mridul Muralidharan
Sent: Wednesday, August 29, 2018 1:27:27 PM
To: dev@spark.apache.org
Subject: Re: SPIP: Executor Plugin (SPARK-24918)
+1
I left a couple of comments in NiharS's PR, but this is very useful to
have in spark !
Regards,
Mridul
On Fri,
I fully support merging that SparkR support on k8s.
If Ilan and other are willing to manually validate the RC I’m happy to voucher
for it (I’m not 100% sure i have capacity to test it that way but certainly
will try)
Also +1 on revisiting Jenkins builds. tbh I’m not sure we depend on them too
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https://issues.apache.org/jira/browse/SPARK-24918?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16582009#comment-16582009
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Felix Cheung commented on SPARK-24918:
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I'd tend to agree with opt in - too many mistakes with copy
Perhaps one concern is users having characters in note name that are invalid
for file name/file path?
From: Mohit Jaggi
Sent: Sunday, August 12, 2018 6:02 PM
To: users@zeppelin.apache.org
Cc: dev
Subject: Re: [DISCUSS] ZEPPELIN-2619. Save note in [Title].zpln
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