Thank you, Robert and Brian.
I'd like to try this out. I am trying to distribute my dataset to nodes,
sort each partition by some key and then store each partition to its own
file.
Wenbing
On Fri, Apr 2, 2021 at 9:23 AM Brian Hulette <bhule...@google.com> wrote:
> Note groupby.apply [1] in particular should be able to do what you want,
> something like:
>
> df.groupby('key1').apply(lambda df: df.sort_values('key2'))
>
> But as Robert noted we don't make any guarantees about preserving this
> ordering later in the pipeline. For this reason I actually just sent a PR
> to disallow sort_values on the entire dataset [2].
>
> Brian
>
> [1] https://github.com/apache/beam/pull/13843
> [2] https://github.com/apache/beam/pull/14324
>
> On Fri, Apr 2, 2021 at 9:15 AM Robert Bradshaw <rober...@google.com>
> wrote:
>
>> Thanks for trying this out.
>>
>> Better support for groupby (e.g.
>> https://github.com/apache/beam/pull/13843 ,
>> https://github.com/apache/beam/pull/13637) will be available in the next
>> Beam release (2.29, in progress, but you could try out head if you want).
>> Note, however, that Beam PCollections are by definition unordered, so
>> unless you sort a partition and immediately do something with it that
>> ordering may not be preserved. If you could let us know what you're trying
>> to do with this ordering that would be helpful.
>>
>> - Robert
>>
>>
>> On Thu, Apr 1, 2021 at 7:31 PM Wenbing Bai <wenbing....@getcruise.com>
>> wrote:
>>
>>> Hi Beam users,
>>>
>>> I have a user case to partition my PCollection by some key, and then
>>> sort my rows within the same partition by some other key.
>>>
>>> I feel Beam Dataframe could be a candidate solution, but I cannot figure
>>> out how to make it work. Specifically, I tried df.groupby where I expect my
>>> data will be distributed to different nodes. I also tried df.sort_values,
>>> but it will sort my whole dataset, which is not what I need.
>>>
>>> Can someone shed some light on this?
>>>
>>>
>>>
>>>
>>>
>>> Wenbing Bai
>>>
>>> Senior Software Engineer
>>>
>>> Data Infrastructure, Cruise
>>>
>>> Pronouns: She/Her
>>>
>>>
>>>
>>> *Confidentiality Note:* We care about protecting our proprietary
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>>
>>
--
Wenbing Bai
Senior Software Engineer
Data Infrastructure, Cruise
Pronouns: She/Her
--
*Confidentiality Note:* We care about protecting our proprietary
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