Hi Quincey,

I managed to work it out. Seems like I messed up the chunk size. Now it works 
like expected. Thank you so much for your support!!

Jan
On 09.03.2010, at 21:41, Quincey Koziol wrote:

> Hi Jan,
> 
> On Mar 9, 2010, at 2:31 PM, Jan Linxweiler wrote:
> 
>> Hi Quincey,
>> 
>> I prepared a little program to show you the issue and now it works like 
>> charm.  In this example every second chunk is empty and the file size seems 
>> to be half of the completely filled dataset. Is this reasonable?
> 
>       Yes, that's what I would expect.
> 
>> Or did I possibly make a mistake again? Maybe I messed up with the chunk 
>> size is my real world example. I'm going to find out what the difference in 
>> the two is and than report to you.
> 
>       Yes, please let us know what the difference is.
> 
>               Quincey
> 
>> Thank you very, very much so far.
>> 
>> Jan
>> 
>> On 09.03.2010, at 19:19, Quincey Koziol wrote:
>> 
>>> Hi Jan,
>>> 
>>> On Mar 9, 2010, at 12:09 PM, Jan Linxweiler wrote:
>>> 
>>>> Hi Quincey,
>>>> 
>>>> I tried again.. I did not set the the fill value but set the allocation 
>>>> time to be incremental. In this case the fill value equals 0... The file 
>>>> size is the same...
>>> 
>>>     Hmm, that's odd.  Can you send me a C program that shows the issue?
>>> 
>>>     Quincey
>>> 
>>>> 
>>>> Jan
>>>> 
>>>> On 09.03.2010, at 18:45, Quincey Koziol wrote:
>>>> 
>>>>> Hi Jan,
>>>>> 
>>>>> On Mar 9, 2010, at 11:42 AM, Jan Linxweiler wrote:
>>>>> 
>>>>>> Hi Quincey,
>>>>>> 
>>>>>> thank you for your answer. I tried not setting a fill value, but I think 
>>>>>> the dataset is not valid than. I could not figure out how to identify 
>>>>>> not valid chunks. Also HDFView was not able to read those files. 
>>>>>> Therefore I suppose it is not the common way to use chunked datasets. 
>>>>>> Isn't it?
>>>>> 
>>>>>   When you didn't set the fill value, was the file smaller (because the 
>>>>> chunks weren't allocated)?  If that's true, then I think this is a bug in 
>>>>> the HDF5 library and we should fix it so that it doesn't allocate chunks 
>>>>> (when the allocation time is increment or late) when a fill value is 
>>>>> defined.
>>>>> 
>>>>>   Quincey
>>>>> 
>>>>>> Jan
>>>>>> 
>>>>>> On 09.03.2010, at 18:20, Quincey Koziol wrote:
>>>>>> 
>>>>>>> Hi Jan,
>>>>>>> 
>>>>>>> On Mar 9, 2010, at 5:22 AM, Jan Linxweiler wrote:
>>>>>>> 
>>>>>>>> It seems like simply enabling compression does not change anything. 
>>>>>>>> The file sizes for sparse and dense matrices still have the same size.
>>>>>>>> 
>>>>>>>> Can anyone give me a hint on how to work this out?
>>>>>>> 
>>>>>>>         Hmm, I would think that you are correct in your expectations.  
>>>>>>> Can you try without setting the fill value and see what happens?
>>>>>>> 
>>>>>>>         Quincey
>>>>>>> 
>>>>>>>> On 09.03.2010, at 12:01, Jan Linxweiler wrote:
>>>>>>>> 
>>>>>>>>> Hallo all,
>>>>>>>>> 
>>>>>>>>> I have a question concerning the allocated file space of chunked 
>>>>>>>>> datasets. I use a chunked dataset with a fill value and incremental 
>>>>>>>>> allocation time as followed:
>>>>>>>>> 
>>>>>>>>> hsize_tchunk_dims[3]={10,10,10};
>>>>>>>>> const int rank = 3;
>>>>>>>>> 
>>>>>>>>> H5::DSetCreatPropList cparms;
>>>>>>>>> cparms.setChunk( rank, chunk_dims );
>>>>>>>>> 
>>>>>>>>> /* Set fill value for the dataset. */
>>>>>>>>> double fill_val = -999.999;
>>>>>>>>> cparms.setFillValue( datatype, &fill_val );
>>>>>>>>> 
>>>>>>>>> /* Set allocation time. */
>>>>>>>>> cparms.setAllocTime(H5D_ALLOC_TIME_INCR);
>>>>>>>>> 
>>>>>>>>> /*
>>>>>>>>> * create dataspace with min/max dimensions.
>>>>>>>>> */
>>>>>>>>> hsize_t min_dims[] = {10000,1000,1000};
>>>>>>>>> 
>>>>>>>>> hsize_t max_dims[] = {
>>>>>>>>> H5S_UNLIMITED,
>>>>>>>>> H5S_UNLIMITED,
>>>>>>>>> H5S_UNLIMITED
>>>>>>>>> };
>>>>>>>>> 
>>>>>>>>> H5::DataSpace dataspace( rank, min_dims, max_dims );
>>>>>>>>> 
>>>>>>>>> ....
>>>>>>>>> 
>>>>>>>>> As I understand, memory is only allocated for chunks where data is 
>>>>>>>>> actually written to. In other words, no data is allocated for chunks 
>>>>>>>>> that contain only fill values. My question is, is this also true for 
>>>>>>>>> the file space on the disk? My observance is, that memory for the 
>>>>>>>>> whole dataset (also "empty" chunks) is allocated on the disk. I 
>>>>>>>>> compared sparse matrices with full matrices and the allocated memory 
>>>>>>>>> is nearly identical. Is there a way to reduce the size of sparse 
>>>>>>>>> matrices on the disc? I am thinking of using compression. Is this a 
>>>>>>>>> common procedure to achive this, or do you recommend something 
>>>>>>>>> different?
>>>>>>>>> 
>>>>>>>>> Thank you in advance,
>>>>>>>>> 
>>>>>>>>> Jannis
>>>>>>>>> 
>>>>>>>>> 
>>>>>>>>> 
>>>>>>>>> _______________________________________________
>>>>>>>>> Hdf-forum is for HDF software users discussion.
>>>>>>>>> [email protected]
>>>>>>>>> http://mail.hdfgroup.org/mailman/listinfo/hdf-forum_hdfgroup.org
>>>>>>>> 
>>>>>>>> 
>>>>>>>> _______________________________________________
>>>>>>>> Hdf-forum is for HDF software users discussion.
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>>>>>>> 
>>>>>>> 
>>>>>>> _______________________________________________
>>>>>>> Hdf-forum is for HDF software users discussion.
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>>>>>> 
>>>>>> 
>>>>>> _______________________________________________
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>>>>>> [email protected]
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>>>>> 
>>>>> 
>>>>> _______________________________________________
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>>>> 
>>>> 
>>>> _______________________________________________
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>>> 
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>> 
>> 
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> 
> 
> _______________________________________________
> Hdf-forum is for HDF software users discussion.
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