All,
I will be having around 15 – 20 datasets to which at a time one value will be written . The data that needs to be written is a c++ object . Which approach is better in terms of performance and efficiency ?
1. For each write , open the dataset , write the data and close the dataset
2. Open the dataset once before the write starts , complete writing of the entire data and then close the dataset at the end .
Regards
Ram
Hi Ram,
On Apr 24, 2008, at 4:10 AM, Ramakrishnan Iyer wrote:
All,
I will be having around 15 – 20 datasets to which at a time one value will be written . The data that needs to be written is a c++ object . Which approach is better in terms of performance and efficiency ?
1. For each write , open the dataset , write the data and close the dataset
2. Open the dataset once before the write starts , complete writing of the entire data and then close the dataset at the end .
You are more likely to perform better for option #2, but it may take more memory. Also, it's likely that the performance will be fairly similar in many cases, since the HDF5 library caches the metadata needed to open a dataset.
Quincey
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