Thank you for the response
I am so sorry for the repeated trouble.

On Tue, 4 Jul, 2023, 2:37 pm Stephen Darlington, <
[email protected]> wrote:

> This is a community user forum where people are volunteering their time.
> I’m afraid you can’t expect immediate responses.
>
> On 4 Jul 2023, at 08:31, Arunima Barik <[email protected]> wrote:
>
> Any updates on this please...
>
> On Mon, 3 Jul 2023 at 18:01, Arunima Barik <[email protected]>
> wrote:
>
>> I am reading a parquet file using Spark dataframe as df
>>
>> I want to write some part of this data to ignite cache
>>
>> Assume I want to write df2 to the cache
>>
>> I used df2.write.format('ignite')
>> Is there a better way to do this or this is the only way??
>>
>> Regards
>> Arunima
>>
>> On Mon, 3 Jul, 2023, 1:19 pm Stephen Darlington, <
>> [email protected]> wrote:
>>
>>> Commercial options are available, but otherwise help would generally be
>>> limited to email lists and Stack Overflow.
>>>
>>> On 1 Jul 2023, at 06:59, Arunima Barik <[email protected]> wrote:
>>>
>>> Are there any provisions wherein I can discuss about my project
>>> implementation with someone from the Ignite team to clarify some doubts?
>>>
>>> Preferably through a small online meet?
>>>
>>> Regards
>>> Arunima
>>>
>>> On Sat, 1 Jul, 2023, 12:03 am Jeremy McMillan, <
>>> [email protected]> wrote:
>>>
>>>> Python doesn't at this time go anywhere near Ignite CacheStore. You
>>>> would need to implement the CacheStore in Java or some other language which
>>>> compiles to JVM runtime/jar. There's a talk from the most recent summit on
>>>> using Groovy, if you want a higher level language than Java, but
>>>> theoretically you could use Jython (if you are willing to experiment and
>>>> can find a compatible JVM that runs both Ignite and Jython).
>>>>
>>>> Ignite can operate like a federated query proxy if different caches are
>>>> implemented with different external persistence for each cache. CacheStore
>>>> is the interface Ignite would use to send a cache miss to a backend
>>>> database. In your original question you intended to use Parquet files as a
>>>> backend database, but Ignite does not (yet) provide one for Parquet. If
>>>> someone were to donate a supportable Java implementation, I suspect the
>>>> community would adopt and support it. Since Parquet is columnar, I also
>>>> suspect it would need to target Ignite 3 to adopt conventions around
>>>> columnar data, and then might be backported to Ignite 2.
>>>>
>>>>
>>>> On Fri, Jun 30, 2023 at 12:13 PM Arunima Barik <
>>>> [email protected]> wrote:
>>>>
>>>>> Which do you think would be a better option?
>>>>>
>>>>> Federated queries or CacheStore
>>>>>
>>>>> And is CacheStore supported in Python?
>>>>>
>>>>> On Fri, 30 Jun, 2023, 1:50 pm Stephen Darlington, <
>>>>> [email protected]> wrote:
>>>>>
>>>>>> You’d need to implement your own Cache Store.
>>>>>> https://ignite.apache.org/docs/latest/persistence/custom-cache-store
>>>>>>
>>>>>> On 30 Jun 2023, at 06:46, Arunima Barik <[email protected]>
>>>>>> wrote:
>>>>>>
>>>>>>
>>>>>> ---------- Forwarded message ---------
>>>>>> From: Arunima Barik <[email protected]>
>>>>>> Date: Fri, 30 Jun, 2023, 10:52 am
>>>>>> Subject: Ignite for Parquet files
>>>>>> To: <[email protected]>
>>>>>>
>>>>>>
>>>>>> Hello Team
>>>>>>
>>>>>> I have my data stored as parquet files. I want a caching layer on top
>>>>>> of this existing file system. I am going to use Ignite for that but I do
>>>>>> not need native persistence for that.
>>>>>>
>>>>>> I want that any changes to database should be reflected in both cache
>>>>>> and file.
>>>>>> And same for read queries. It should automatically read from disk if
>>>>>> data is not present in cache.
>>>>>>
>>>>>> I want to do all this is python. Please let me know how the same can
>>>>>> be done.
>>>>>> Resources if any as well.
>>>>>>
>>>>>> Thank you and looking forward to hearing from you.
>>>>>>
>>>>>> Regard,
>>>>>> Arunima Barik
>>>>>>
>>>>>>
>>>>>>
>>>
>

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