hi Burke -- you have to e-mail [email protected]

On Mon, Jan 4, 2021 at 1:28 PM Burke Kaltenberger
<[email protected]> wrote:
>
> please remove me from your email list. Thank you
>
> On Mon, Jan 4, 2021 at 10:15 AM Neal Richardson <[email protected]> 
> wrote:
>>
>> I believe Plasma only has Python bindings. FWIW it has not seen active 
>> development in quite a while.
>>
>> Neal
>>
>> On Mon, Jan 4, 2021 at 8:58 AM Chris Nuernberger <[email protected]> 
>> wrote:
>>>
>>> Yes that makes sense.  I guess you also need something to broker shared 
>>> memory filenames/ids.  The database isn't in-memory, however, although I 
>>> know what you mean.  One huge advantage of mmap is you can have much larger 
>>> than memory storage act like in-memory storage; so the plasma store can be 
>>> roughly the size of your disk and larger your ram but your program, unless 
>>> it attempts to verbatim copy a column wouldn't know any better.
>>>
>>> Numerical larger-than-memory-but-in-memory redis indeed; that is an 
>>> interesting way to think of it.
>>>
>>> On Mon, Jan 4, 2021 at 9:45 AM Thomas Browne <[email protected]> wrote:
>>>>
>>>> Interesting and agreed. I guess this a big advantage of the "on the wire" 
>>>> unserialised format - just read it in and it's already native. I'll go 
>>>> this way possibly.
>>>>
>>>> However I also note the beginnings of more advanced functionality in the 
>>>> Plasma store, for example, notification API on buffer seal (ie when 
>>>> something changes, all clients can be notified).
>>>>
>>>> https://arrow.apache.org/docs/python/generated/pyarrow.plasma.PlasmaClient.html#pyarrow.plasma.PlasmaClient.subscribe
>>>>
>>>> I'm assuming the plasma store will add functionality over time, and if 
>>>> this is the case, having all client libraries implement it means I can 
>>>> almost have a redis-like column-store specialising in numerical 
>>>> computation (which would be awesome), and for which i don't need to write 
>>>> my own functionality for each client library.
>>>>
>>>> A numerical in-memory database, if you will.
>>>>
>>>> On 04/01/2021 15:55, Chris Nuernberger wrote:
>>>>
>>>> Julia, Python, and R all have some support for mmap operations.
>>>>
>>>> On Mon, Jan 4, 2021 at 8:55 AM Chris Nuernberger <[email protected]> 
>>>> wrote:
>>>>>
>>>>> Could simply saving the arrow file in streaming mode to shared memory and 
>>>>> then mmap-ing the result in each language solve your problem ?  Plasma 
>>>>> seems to me to be a layer on top of basic mmap operations; as long as you 
>>>>> have shared memory and mmap then you can have multiple processes talking 
>>>>> to the same logical block of memory.
>>>>>
>>>>> On Mon, Jan 4, 2021 at 8:27 AM Thomas Browne <[email protected]> wrote:
>>>>>>
>>>>>> I am hoping to use the Apache Arrow project for cross-language numerical
>>>>>> computation, and for that the shared-memory idea is very powerful. Am I
>>>>>> correct that the Plasma Store is the enabling technology for this,
>>>>>> especially for soft real-time computation (ie not moving to parquet or
>>>>>> any file-based sharing system)?
>>>>>>
>>>>>> Is that the case? And if so, then I'm wondering which client libraries,
>>>>>> other than Python (and I assume C[++]), implement the Plasma Store. This
>>>>>> table doesn't feature a row for Plasma:
>>>>>>
>>>>>> https://arrow.apache.org/docs/status.html
>>>>>>
>>>>>> and I can't seem to find any reference to the Plasma store in the Julia,
>>>>>> R, or Javascript libraries.
>>>>>>
>>>>>> https://arrow.apache.org/docs/r/
>>>>>>
>>>>>> https://arrow.apache.org/docs/js/
>>>>>>
>>>>>> https://arrow.juliadata.org/stable/
>>>>>>
>>>>>>
>>>>>> Thank you,
>>>>>>
>>>>>> Thomas
>>>>>>
>>>>>>
>
>
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