Re: Apache Spark 3.0.3 Release?

[Liang-Chi Hsieh]

+1. Thank you!

Liang-Chi


Dongjoon Hyun-2 wrote
> +1, Thank you! :)
> 
> Bests,
> Dongjoon.
> 
> On Tue, Jun 8, 2021 at 9:05 PM Kent Yao <

> yaooqinn@

> > wrote:
> 
>> +1. Thanks, Yi ~
>>
>> Bests,
>> *Kent Yao *
>> @ Data Science Center, Hangzhou Research Institute, NetEase Corp.
>> *a spark enthusiast*
>> *kyuubi is a unified
>> multi-tenant JDBC
>> interface for large-scale data processing and analytics, built on top
>> of Apache Spark .*
>> *spark-authorizer A
>> Spark
>> SQL extension which provides SQL Standard Authorization for **Apache
>> Spark .*
>> *spark-postgres ; A
>> library for
>> reading data from and transferring data to Postgres / Greenplum with
>> Spark
>> SQL and DataFrames, 10~100x faster.*
>> *itatchi A** library
>> t**hat
>> brings useful functions from various modern database management systems
>> to **Apache
>> Spark .*
>>
>>
>>
>> On 06/9/2021 11:54，Takeshi Yamamuro<

> linguin.m.s@

> >
>> <

> linguin.m.s@

> > wrote：
>>
>> +1. Thank you, Yi ~
>>
>> Bests,
>> Takeshi
>>
>> On Wed, Jun 9, 2021 at 12:18 PM Mridul Muralidharan <

> mridul@

> >
>> wrote:
>>
>>>
>>> +1
>>>
>>> Regards,
>>> Mridul





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Re: Apache Spark 3.0.3 Release?

[Dongjoon Hyun]

+1, Thank you! :)

Bests,
Dongjoon.

On Tue, Jun 8, 2021 at 9:05 PM Kent Yao  wrote:

> +1. Thanks, Yi ~
>
> Bests,
> *Kent Yao *
> @ Data Science Center, Hangzhou Research Institute, NetEase Corp.
> *a spark enthusiast*
> *kyuubi is a unified multi-tenant JDBC
> interface for large-scale data processing and analytics, built on top
> of Apache Spark .*
> *spark-authorizer A Spark
> SQL extension which provides SQL Standard Authorization for **Apache
> Spark .*
> *spark-postgres  A library for
> reading data from and transferring data to Postgres / Greenplum with Spark
> SQL and DataFrames, 10~100x faster.*
> *itatchi A** library t**hat
> brings useful functions from various modern database management systems to 
> **Apache
> Spark .*
>
>
>
> On 06/9/2021 11:54，Takeshi Yamamuro
>  wrote：
>
> +1. Thank you, Yi ~
>
> Bests,
> Takeshi
>
> On Wed, Jun 9, 2021 at 12:18 PM Mridul Muralidharan 
> wrote:
>
>>
>> +1
>>
>> Regards,
>> Mridul
>>
>> On Tue, Jun 8, 2021 at 10:11 PM Hyukjin Kwon  wrote:
>>
>>> Yeah, +1
>>>
>>> 2021년 6월 9일 (수) 오후 12:06, Yi Wu 님이 작성:
>>>
 Hi, All.

 Since Apache Spark 3.0.2 tag creation (Feb 16),
 new 119 patches (92 issues
 
 resolved) arrived at branch-3.0.

 Shall we make a new release, Apache Spark 3.0.3, as the 3rd release at
 the 3.0 line?
 I'd like to volunteer as the release manager for Apache Spark 3.0.3.
 I'm thinking about starting the first RC at the end of this week.

 $ git log --oneline v3.0.2..HEAD | wc -l
  119

 # Known correctness issues
 SPARK-34534 
 New protocol FetchShuffleBlocks in OneForOneBlockFetcher lead to data loss
 or correctness
 SPARK-34545 
 PySpark Python UDF return inconsistent results when applying 2 UDFs with
 different return type to 2 columns together
 SPARK-34719 
 fail if the view query has duplicated column names
 SPARK-34794 
 Nested higher-order functions broken in DSL

 # Notable user-facing changes
 SPARK-32924 
  Web UI sort on duration is wrong
 SPARK-35405 
  Submitting Applications documentation has outdated information about K8s
 client mode support

 Thanks,
 Yi

>>>
>
> --
> ---
> Takeshi Yamamuro
>
> - To
> unsubscribe e-mail: dev-unsubscr...@spark.apache.org

Re: Apache Spark 3.0.3 Release?

[Kent Yao]

+1. Thanks, Yi ~




Bests,

  





















Kent Yao @ Data Science Center, Hangzhou Research Institute, NetEase Corp.a spark enthusiastkyuubiis a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark.spark-authorizerA Spark SQL extension which provides SQL Standard Authorization for Apache Spark.spark-postgres A library for reading data from and transferring data to Postgres / Greenplum with Spark SQL and DataFrames, 10~100x faster.itatchiA library that brings useful functions from various modern database management systems to Apache Spark.
















 


On 06/9/2021 11:54，Takeshi Yamamuro wrote： 


+1. Thank you, Yi ~Bests,TakeshiOn Wed, Jun 9, 2021 at 12:18 PM Mridul Muralidharan  wrote:+1Regards,Mridul On Tue, Jun 8, 2021 at 10:11 PM Hyukjin Kwon  wrote:Yeah, +12021년 6월 9일 (수) 오후 12:06, Yi Wu 님이 작성:Hi, All.Since Apache Spark 3.0.2 tag creation (Feb 16),new 119 patches (92 issues resolved) arrived at branch-3.0.Shall we make a new release, Apache Spark 3.0.3, as the 3rd release at the 3.0 line?I'd like to volunteer as the release manager for Apache Spark 3.0.3.I'm thinking about starting the first RC at the end of this week.$ git log --oneline v3.0.2..HEAD | wc -l     119# Known correctness issuesSPARK-34534     New protocol FetchShuffleBlocks in OneForOneBlockFetcher lead to data loss or correctnessSPARK-34545     PySpark Python UDF return inconsistent results when applying 2 UDFs with different return type to 2 columns togetherSPARK-34719     fail if the view query has duplicated column namesSPARK-34794     Nested higher-order functions broken in DSL# Notable user-facing changesSPARK-32924     Web UI sort on duration is wrongSPARK-35405     Submitting Applications documentation has outdated information about K8s client mode supportThanks,Yi


-- ---Takeshi Yamamuro




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Re: Apache Spark 3.0.3 Release?

[Takeshi Yamamuro]

+1. Thank you, Yi ~

Bests,
Takeshi

On Wed, Jun 9, 2021 at 12:18 PM Mridul Muralidharan 
wrote:

>
> +1
>
> Regards,
> Mridul
>
> On Tue, Jun 8, 2021 at 10:11 PM Hyukjin Kwon  wrote:
>
>> Yeah, +1
>>
>> 2021년 6월 9일 (수) 오후 12:06, Yi Wu 님이 작성:
>>
>>> Hi, All.
>>>
>>> Since Apache Spark 3.0.2 tag creation (Feb 16),
>>> new 119 patches (92 issues
>>> 
>>> resolved) arrived at branch-3.0.
>>>
>>> Shall we make a new release, Apache Spark 3.0.3, as the 3rd release at
>>> the 3.0 line?
>>> I'd like to volunteer as the release manager for Apache Spark 3.0.3.
>>> I'm thinking about starting the first RC at the end of this week.
>>>
>>> $ git log --oneline v3.0.2..HEAD | wc -l
>>>  119
>>>
>>> # Known correctness issues
>>> SPARK-34534  New
>>> protocol FetchShuffleBlocks in OneForOneBlockFetcher lead to data loss or
>>> correctness
>>> SPARK-34545 
>>> PySpark Python UDF return inconsistent results when applying 2 UDFs with
>>> different return type to 2 columns together
>>> SPARK-34719 
>>> fail if the view query has duplicated column names
>>> SPARK-34794 
>>> Nested higher-order functions broken in DSL
>>>
>>> # Notable user-facing changes
>>> SPARK-32924  Web
>>> UI sort on duration is wrong
>>> SPARK-35405 
>>>  Submitting Applications documentation has outdated information about K8s
>>> client mode support
>>>
>>> Thanks,
>>> Yi
>>>
>>

-- 
---
Takeshi Yamamuro

Re: Apache Spark 3.0.3 Release?

[Mridul Muralidharan]

+1

Regards,
Mridul

On Tue, Jun 8, 2021 at 10:11 PM Hyukjin Kwon  wrote:

> Yeah, +1
>
> 2021년 6월 9일 (수) 오후 12:06, Yi Wu 님이 작성:
>
>> Hi, All.
>>
>> Since Apache Spark 3.0.2 tag creation (Feb 16),
>> new 119 patches (92 issues
>> 
>> resolved) arrived at branch-3.0.
>>
>> Shall we make a new release, Apache Spark 3.0.3, as the 3rd release at
>> the 3.0 line?
>> I'd like to volunteer as the release manager for Apache Spark 3.0.3.
>> I'm thinking about starting the first RC at the end of this week.
>>
>> $ git log --oneline v3.0.2..HEAD | wc -l
>>  119
>>
>> # Known correctness issues
>> SPARK-34534  New
>> protocol FetchShuffleBlocks in OneForOneBlockFetcher lead to data loss or
>> correctness
>> SPARK-34545 
>> PySpark Python UDF return inconsistent results when applying 2 UDFs with
>> different return type to 2 columns together
>> SPARK-34719  fail
>> if the view query has duplicated column names
>> SPARK-34794 
>> Nested higher-order functions broken in DSL
>>
>> # Notable user-facing changes
>> SPARK-32924  Web
>> UI sort on duration is wrong
>> SPARK-35405 
>>  Submitting Applications documentation has outdated information about K8s
>> client mode support
>>
>> Thanks,
>> Yi
>>
>

Re: Apache Spark 3.0.3 Release?

[Hyukjin Kwon]

Yeah, +1

2021년 6월 9일 (수) 오후 12:06, Yi Wu 님이 작성:

> Hi, All.
>
> Since Apache Spark 3.0.2 tag creation (Feb 16),
> new 119 patches (92 issues
> 
> resolved) arrived at branch-3.0.
>
> Shall we make a new release, Apache Spark 3.0.3, as the 3rd release at
> the 3.0 line?
> I'd like to volunteer as the release manager for Apache Spark 3.0.3.
> I'm thinking about starting the first RC at the end of this week.
>
> $ git log --oneline v3.0.2..HEAD | wc -l
>  119
>
> # Known correctness issues
> SPARK-34534  New
> protocol FetchShuffleBlocks in OneForOneBlockFetcher lead to data loss or
> correctness
> SPARK-34545 
> PySpark Python UDF return inconsistent results when applying 2 UDFs with
> different return type to 2 columns together
> SPARK-34719  fail
> if the view query has duplicated column names
> SPARK-34794 Nested
> higher-order functions broken in DSL
>
> # Notable user-facing changes
> SPARK-32924  Web
> UI sort on duration is wrong
> SPARK-35405 
>  Submitting Applications documentation has outdated information about K8s
> client mode support
>
> Thanks,
> Yi
>

Apache Spark 3.0.3 Release?

[Yi Wu]

Hi, All.

Since Apache Spark 3.0.2 tag creation (Feb 16),
new 119 patches (92 issues
 resolved)
arrived at branch-3.0.

Shall we make a new release, Apache Spark 3.0.3, as the 3rd release at the
3.0 line?
I'd like to volunteer as the release manager for Apache Spark 3.0.3.
I'm thinking about starting the first RC at the end of this week.

$ git log --oneline v3.0.2..HEAD | wc -l
 119

# Known correctness issues
SPARK-34534  New
protocol FetchShuffleBlocks in OneForOneBlockFetcher lead to data loss or
correctness
SPARK-34545 PySpark
Python UDF return inconsistent results when applying 2 UDFs with different
return type to 2 columns together
SPARK-34719  fail if
the view query has duplicated column names
SPARK-34794 Nested
higher-order functions broken in DSL

# Notable user-facing changes
SPARK-32924  Web UI
sort on duration is wrong
SPARK-35405 
 Submitting Applications documentation has outdated information about K8s
client mode support

Thanks,
Yi