+1.

On Wed, Oct 5, 2022 at 1:53 PM Xiao Li <lix...@databricks.com.invalid>
wrote:

> +1.
>
> Xiao
>
> On Wed, Oct 5, 2022 at 12:49 PM Sean Owen <sro...@gmail.com> wrote:
>
>> I'm OK with this. It simplifies maintenance a bit, and specifically may
>> allow us to finally move off of the ancient version of Guava (?)
>>
>> On Mon, Oct 3, 2022 at 10:16 PM Dongjoon Hyun <dongjoon.h...@gmail.com>
>> wrote:
>>
>>> Hi, All.
>>>
>>> I'm wondering if the following Apache Spark Hadoop2 Binary Distribution
>>> is still used by someone in the community or not. If it's not used or
>>> not useful,
>>> we may remove it from Apache Spark 3.4.0 release.
>>>
>>>
>>> https://downloads.apache.org/spark/spark-3.3.0/spark-3.3.0-bin-hadoop2.tgz
>>>
>>> Here is the background of this question.
>>> Since Apache Spark 2.2.0 (SPARK-19493, SPARK-19550), the Apache
>>> Spark community has been building and releasing with Java 8 only.
>>> I believe that the user applications also use Java8+ in these days.
>>> Recently, I received the following message from the Hadoop PMC.
>>>
>>>   > "if you really want to claim hadoop 2.x compatibility, then you have
>>> to
>>>   > be building against java 7". Otherwise a lot of people with hadoop
>>> 2.x
>>>   > clusters won't be able to run your code. If your projects are java8+
>>>   > only, then they are implicitly hadoop 3.1+, no matter what you use
>>>   > in your build. Hence: no need for branch-2 branches except
>>>   > to complicate your build/test/release processes [1]
>>>
>>> If Hadoop2 binary distribution is no longer used as of today,
>>> or incomplete somewhere due to Java 8 building, the following three
>>> existing alternative Hadoop 3 binary distributions could be
>>> the better official solution for old Hadoop 2 clusters.
>>>
>>>     1) Scala 2.12 and without-hadoop distribution
>>>     2) Scala 2.12 and Hadoop 3 distribution
>>>     3) Scala 2.13 and Hadoop 3 distribution
>>>
>>> In short, is there anyone who is using Apache Spark 3.3.0 Hadoop2 Binary
>>> distribution?
>>>
>>> Dongjoon
>>>
>>> [1]
>>> https://issues.apache.org/jira/browse/ORC-1251?focusedCommentId=17608247&page=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-17608247
>>>
>>
>
> --
>
>

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