I have a dataset (actually a Packet Table used as a Dimension Scale) which is guaranteed to be increasing (it's a time index). Is there a good way to find a specific (or nearest) time index? Do I need to write my own search routine (say midpoint, false position, or something)?
Also does anyone have an opinion on using a separate time Dimension Scale vs. just having that extra field within the Packet Table?
Scott
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Hi Scott,
I have solved this by adding two additional datasets, one for time and
an index to it. This was necessary because our packet table is quite
large (>> 2 GB). And it works very well. The time-array and
index-array have the same length as the packet table, only the
index-array is stored as a dataset, not a packet table, because you
have to update it every time add a non-chronological entry. If the
time-array is not too large you sort or even scan it on the fly to find
the right entry in the packet table. But this depends on your
application.
Best regards, Richard
Mitchell, Scott - AES wrote:
···
I have a dataset (actually a Packet Table used
as a Dimension Scale) which is guaranteed to be increasing (it’s a time
index). Is there a good way to find a specific (or nearest) time index?
Do I need to write my own search routine (say midpoint, false position,
or something)?
Also does anyone have an opinion on using a
separate time Dimension Scale vs. just having that extra field within
the Packet Table?
Scott
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ITT Corporation. The recipient should check this e-mail and any
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any damage caused by any virus transmitted by this e-mail.
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