johnahartman / alembic

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Invesitgation: performance improvement - read all samples of animatied transfer in one go #236

Closed GoogleCodeExporter closed 8 years ago

GoogleCodeExporter commented 8 years ago
This needs investigation and profiling data to backup the case for the idea.
The proposal is to add API for transforms such that animated transforms could 
be loaded for all samples in one go (rather than opening, and closing data sets 
and data spaces, over and over for each separate sample).   This might be 
implemented by way of a new timesmapling type (so the writer we indicate the 
wish to record data this way for the reader), or this might be just code 
changes on the read side

Original issue reported on code.google.com by cookingw...@gmail.com on 8 Oct 2011 at 1:07

GoogleCodeExporter commented 8 years ago

Original comment by ble...@gmail.com on 8 Oct 2011 at 1:24

GoogleCodeExporter commented 8 years ago
Why does alembic open and close the data sets and data spaces for each sample?

In hdf5, if you keep a hid open for each, it stays a part of the internal hdf5 
10mB file cache (for the file that the dataset and dataspace belong to), and 
then removes the overhead of creating or destroying the object.

I would advise however, against adding an API to read all the data at once.  
The only thing this will give you is a very very large opportunity for memory 
usage when people try and scale this solution to a lot of data.

I think it would be better to just keep open the hid for the dataset and 
dataspace, and simply call h5read again with the same hid.  This way if you hit 
the same dataspace twice, the hdf5 internal cache will automatically speed-up 
the access.

I've tried both, in a production before, and reading everything in one go 
quickly brought Maya to it's knees as people loaded more and more characters 
into a scene at once.

Original comment by evolutio...@gmail.com on 16 Feb 2012 at 1:45

GoogleCodeExporter commented 8 years ago
I haven't checked this for reading in a while, but keeping that many hid_t open 
while writing was causing a massive amount of memory to be used.

Independent of the HDF5 internal cache, loading that much data into memory 
would not be prudent with anything other than simplest scenes.

Marking the issue invalid.

Original comment by miller.lucas on 16 Feb 2012 at 5:14