Performance on large data
Open
enhancement
- Dominant language
- Python
- Stars
- 170
- Forks
- 35
- PR merge metrics
- No merged PRs in 30d
Description
We have to send many small files ( ~8MB) to a hdf5 server in a short time. Although there is a 1Gbit/s connection on both sides, only around 6MB/s are achieved.
Is there any way we can improve the speed or is it a general problem. Most of the time seems to be lost by writing to the hdf5 file.
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue names no files, tests, or entry points. Start by reproducing the many-small-file upload against the h5serv HDF5 REST service and profile whether time is spent in transfer or HDF5 writes; done would require an identified bottleneck and a measured improvement or a documented limitation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- api, backend, performance
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100