complyue opened a new issue #294: URL: https://github.com/apache/arrow-julia/issues/294
I'm figuring out ways to have table columns processed by GPU, those coming from "arrow file" format files `mmap`ed for zero-copy. The full series can not fit into GRAM, while each batch record can, so one thing is to get each contiguous chunk of the series data for upload to GPU memory in batching fashion. I've filed #293 to sort this out. Another issue is arrow seems have intrinsic nullability, how can I adapt the array from arrow's data type to plain `float64` series for uploading to GPU? One more issue is with Julia's lacking of nanosecond precision timestamp by default, GPU can process those as `int64`, then how can I adapt arrow nanosecond precision ts to plain `int64` arrays? -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
