问题
I have a h5py dataset like below. I want to index the records by string instead of by numeric value. So, e.g. I would be able to get the value of the first record by dset[dset.attrs['id1']].
I am trying to write the attributes with the code below, but it is extremely slow. If I do a %timeit dset.attrs[rid] = idx in the loop a single write is about 310ms. The strings I am writing are 36 characters. I have about 100k records I need to write, which would take about 9 hours. Something must be terribly wrong? Also the CPU is pegged.
ids = ['id1', 'id2', 'id3']
h5 = h5py.File("/tmp/ds.h5", "w")
dset = h5.create_dataset("lds", (100000, ), dtype='float32')
for idx, id in enumerate(ids): # loop takes forever
dset.attrs[id] = idx # takes about ~310ms
EDIT
Minimal "working" example.
for idx, rid in enumerate(range(10)):
%timeit dset.attrs[str(rid)] = idx
10 loops, best of 3: 470 ms per loop
10 loops, best of 3: 470 ms per loop
...
Nearly 0.5 second for a single write.
回答1:
Use the latest value for parameter libver. This is a lot faster. So, e.g.
h5py.File('ds.h5', 'w', libver='latest')
See here: https://github.com/h5py/h5py/issues/705
来源:https://stackoverflow.com/questions/36879459/h5py-writes-very-slow