Also, the PT/TB APIs are high-level HDF5 calls, meaning they use a series of 
low-level HDF5 APIs to create the PT/TB. If you are curious to see what 
low-level HDF5 APIs are needed, for example, to create a PT, then  you can look 
in the HDF5 source, hl/src/H5PT.c —>  H5PTcreate.

Scot

On Feb 14, 2017, at 1:36 PM, Mitchell, Scott 
<[email protected]<mailto:[email protected]>> wrote:

I wouldn’t bet on it. You can do it the other way around though, write as a 
Table or PacketTable and read as a Dataset.

From: Hdf-forum [mailto:[email protected]] On Behalf Of 
Serti Ayoub
Sent: Tuesday, February 14, 2017 9:41 AM
To: HDF Users Discussion List
Subject: Re: [Hdf-forum] Table vs DataSet vs PacketTable

Thank you Jason,

It's more clear now. So, I can save data using dataset API and read it with 
Table or PacketTable API?

-Ayb

2017-02-13 14:39 GMT+00:00 Jason Newton 
<[email protected]<mailto:[email protected]>>:
Datasets are the lowest level.

Tables build on datasets and have an API to work with them.  Still just a 
dataset as an implementation.

PacketTables are an optimized Table api designed for frequent appending such as 
in a real time application.  The implementation trick they use is they simply 
keep the table api opened underneath so each append only changes the dataset 
size and then writes.  I like 'em for most applications as you're no worse off 
than any of the other other APIs at worse, but that you can easily write more 
data to your dataset is quite nice.

-Jason

On Sun, Feb 12, 2017 at 1:23 PM, Serti Ayoub 
<[email protected]<mailto:[email protected]>> wrote:
Hello All,

I'm new to HDF5 file format and I didn't see the difference between Table, 
DataSet and PacketTable? what's the difference between all those structure? And 
what every one stand for?

Thank you in advance.
Regards,
Ayoub


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