Hi Peter,

 why do you do the compression on HDF5 side? This is something you can do more 
efficiently on business side. 

Best

Dimitris

> Peter, there’s an API call that lets you write chunks directly
> into the file including chunks which you have compressed outside
> the HDF5 filter pipeline. Have a look at:
>  
> http://www.hdfgroup.org/HDF5/doc/HL/RM_HDF5Optimized.html#H5DOwrite_chunk
>  
> See how fast you can write with H5DOwrite_chunk and then do
> a back-of-the-envelope calculation to see how elaborate
> a queueing mechanism you want.
>  
> G.
>  
> From: Hdf-forum [mailto:[email protected]] On Behalf Of 
> Peter Majer
> Sent: Monday, March 16, 2015 11:53 AM
> To: [email protected]
> Subject: [Hdf-forum] Queuing chunks for compression and writing
>  
> Dear All
> We have been experiencing and suffering from the fact that writing compressed 
> files with hdf is significantly slower than writing uncompressed. I have been 
> asking myself for a while whether there is a simple remedy. Would it be 
> possible to have two queues of chunks when writing a file, one for 
> compression and one for actual writing to achieve the following:
>  
> 1)      I enqueue N chunks for CompressionAndWriting. They initially enter 
> CompressQueue.
> 2)      The chunks from CompressQueue are concurrently compressed by multiple 
> compression threads and subsequently enqueued in a WriteQueue.
> 3)      A WriteThread sequentially writes all compressed chunks from 
> WriteQueue to the file system.
>  
> This should allow to keep the WriteThread constantly busy and it should allow 
> compressed writing to be faster than uncompressed writing by a factor that is 
> more or less identical to the compression rate.
>  
> Interfacewise it would be nice to have “StartWrite” and “FinishWrite” methods 
> where “Startwrite” simply copies the data into the CompressQueue and returns 
> immediately thereafter while FinishWrite would be blocking until the write 
> operation for the corresponding chunk has actually completed.
>  
> Would this be possible?
> Would it be feasible?
> Would it be easy?
>  
> Thanks, Peter
>  
>  
> Dr. Peter Majer
> Image Analysis Scientist and Software Architect
> Bitplane AG
> www.bitplane.com
>  
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