Daniel Carrera wrote:
Randomthots wrote:
The number of characters has no effect on speed. There is no reason
why <w:r> is faster to parse than <text:span text:style-name="T1">.
I'm sorry, Daniel, but I find that hard to believe.
I have a file that is strictly text, numbers, and dates. Seven columns
by 63,260 rows -- no formulas, no formatting. Importing as csv takes a
few seconds. Converted to ods it takes *much* longer to load -- around
30 seconds or so.
What makes you think that the reason for the slowdown is because
OpenDocument uses verbose tags instead of hard to understand tags? The
size of the tag has essentially *zero* effect on speed.
For one particular tag, or for a normally sized spreadsheet, I'm sure
you're right. But even a little bit has to add up. In that particular
file the tag sequence I posted is essentially repeated 63,260 x 7 times.
That's 442,820 times.
The slow down is
because of the additional steps in compression,
That's arguable. Comparing the time it takes to zip the archive with
7-zip vs. the time it takes OOo to save the file, I would estimate that
the compression step takes up maybe 20% of the total time at most.
XML parsing, and the
fact that OpenDocument files contain more information than CSV files.
Tell me please, Daniel, what extra information is contained in the xml
snippet:
<table:table-cell
office:value-type="string"><text:p>arin</text:p></table:table-cell>
that isn't contained in: ,"arin",
You can't just compare CSV vs OpenDocument and conclude that the problem
is the size of the XML tags. That's plain silly.
In this particular case, it's not silly at all. If I do some simple
substitutions and some liberal deleting, I can fairly easily reproduce
the csv from the ods. And I won't lose a scrap of information in the
process.
I realize this is not a normal case. It's more like a controlled
experiment where you remove as many variables as you can in order to
study the particular phenomenon of interest.
The only conclusion I can make is that XML makes a terrible format for
databases that look like spreadsheets (or spreadsheets that look like
databases). Maybe this will spur people to learn how to use Base.
--
Rod
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