Comments (6)
Could you please share the product logs? The logs can be found in the storage directory, typically located at /var/log/heavyai/storage/log. They are named as heavydb.INFO.*
It is essential to check the logs to identify the problem. Is there a specific reason why you're using version 6.4 when versions 7.0 and 7.1 are available?
from heavydb.
I have done detailed analysis of this issue and found the issue..
This happens when I do a select_ipc_gpu on the database and it returns 0 records..
from heavydb.
This can be easily replicated by using heavyai lib's select_ipc_gpu function to
import heavyai
conn=heavyai.connect(user=<user>, password=<pass>, dbname=<dbname>)
conn.select_ipc_gpu(<any select query which returns 0 rows>)
//thrift.transport.TTransport.TTransportException: TSocket read 0 bytes
The reason we're using 6.4 is because we have some custom patches for our usecases
Is this fixed on the latest version 7.1?
If so, we might migration to the latest version
Thanks,
from heavydb.
Hi,
Thanks for reporting the issue. I will try to reproduce it on our end. If I am successful, I will create an internal case for our engineering team to fix the problem.
Can you try running your application without using the GPU-shared memory as a temporary solution?
Also, I am interested in your modifications to the database to support your application. Could you please share what they are doing?
Best regards,
Candido
from heavydb.
Thanks for your reply.
Unfortunately using gpu shared memory is required and cannot be discarded.
Regarding the modifications, I plan to raise a pull request for the same.
Please let me know if you're able to replicate the issue on your end.
Thanks,
Anirudh
from heavydb.
Hi,
Using CUDA 11.8 and the latest version of GA (7.2.1), I was able to reproduce the issue on my end. I have created an internal ticket to resolve the issue.
I'll come back here whenthe problem is fixed. (
from heavydb.
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