So I think using Worker everywhere would be a bit confusing since the
relationship between worker and blockmanager replica is complex, also in
the current PR `AgentLost` is not `WorkerLost` because it doesn't
necessarily mean the worker is lost (there's a flag for if the worker has
been lost).

On Thu, Jun 18, 2020 at 1:21 PM Matei Zaharia <matei.zaha...@gmail.com>
wrote:

> Yup, it would be great to do this. FWIW, I would propose using “worker”
> everywhere instead unless it already means something in that context, just
> to have a single word for this (instead of multiple words such as agent,
> replica, etc), but I haven’t looked into whether that would make anything
> confusing.
>
> On Jun 18, 2020, at 1:14 PM, Holden Karau <hol...@pigscanfly.ca> wrote:
>
> Thank you. I agree being careful with API comparability is important. I
> think in situations where the terms are exposed in our API we can introduce
> alternatives and deprecate the old ones to allow for a smooth migration.
>
> On Thu, Jun 18, 2020 at 12:28 PM Reynold Xin <r...@databricks.com> wrote:
>
>> Thanks for doing this. I think this is a great thing to do.
>>
>> But we gotta be careful with API compatibility.
>>
>>
>> On Thu, Jun 18, 2020 at 11:32 AM, Holden Karau <hol...@pigscanfly.ca>
>> wrote:
>>
>>> Hi Folks,
>>>
>>> I've started working on cleaning up the Spark code to remove references
>>> to slave since the word has a lot of negative connotations and we can
>>> generally replace it with more accurate/descriptive words in our code base.
>>> The PR is at https://github.com/apache/spark/pull/28864 (I'm a little
>>> uncertain on the place of where I chose the name "AgentLost" as the
>>> replacement, suggestions welcome).
>>>
>>> At some point I think we should explore deprecating master as well, but
>>> that is used very broadley inside of our code and in our APIs, so while it
>>> is visible to more people changing it would be more work. I think having
>>> consensus around removing slave though is a good first step.
>>>
>>> Cheers,
>>>
>>> Holden
>>>
>>> --
>>> Twitter: https://twitter.com/holdenkarau
>>> Books (Learning Spark, High Performance Spark, etc.):
>>> https://amzn.to/2MaRAG9  <https://amzn.to/2MaRAG9>
>>> YouTube Live Streams: https://www.youtube.com/user/holdenkarau
>>>
>>
>> --
> Twitter: https://twitter.com/holdenkarau
> Books (Learning Spark, High Performance Spark, etc.):
> https://amzn.to/2MaRAG9  <https://amzn.to/2MaRAG9>
> YouTube Live Streams: https://www.youtube.com/user/holdenkarau
>
>
>

-- 
Twitter: https://twitter.com/holdenkarau
Books (Learning Spark, High Performance Spark, etc.):
https://amzn.to/2MaRAG9  <https://amzn.to/2MaRAG9>
YouTube Live Streams: https://www.youtube.com/user/holdenkarau

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