From: chuck c. <cc...@zi...> - 2004-05-06 16:53:32
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Quick question...I have a datafile with the structure root.service._20040301 ._20040302 .... ._20040331 Where _YYYYMMDD is a table full of stats detailing the performance of the particular service over a day at one minute intervals. Each day I do some analysis on the table for that day for all the services I'm monitoring and it has worked out really well. Now, it is the end of the month and I'd like to do a summary for the month. I've been able to generate that monthly summary for all statistics except one from the daily summaries. However, for this last stat I need to look at all datapoints. Is there a way that I can "link" tables so that when I traverse all the rows in _20040301 my row iterator automatically continues on to _20040302? I can do it with a for loop or even write a facade that makes a list of tables look like one table but I wanted to make sure this wasn't a bit of functionality that already exists which I am missing. Also Francesc, in the last email you replied to me that you hadn't had time to incorporate timestamps into PyTables yet. I went back to the apache site and found this link: http://hdf.ncsa.uiuc.edu/HDF5/doc/H5.intro.html#Intro-ODatasets where it says: "Atomic classes include integer, float, date and time, string, bit field, and opaque. (Note: Only integer, float and string classes are available in the current implementation.) " Do I read this incorrectly, even if you had the time you couldn't truly implement it on top of HDF5 since HDF5 doesn't support it yet. cheers, chuck |