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This pop-up form will export the contents of a complete ring to a
a file in a selection of formats. It is indpendent of the view of
data in the right hand pane (use View->Save Viewed Data... for that).
Step 1 Type in the datastore file or click '...' to browse
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Step 2 Select the ring to export from the pulldown
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Step 3 Choose tab or comma separated data format
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Step 4 Select name and/or information rows
above each column (see below)
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Step 5 Select time and sequence columns in addition to data
(see below)
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Step 6 Type in the export file name or click
the `...' button to browse
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Step 7 Check the details, then click Export to
run the export process; errors will appear above the buttons.
When you have done, click Finished
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column names |
A row of names will be output as the fist line, with each name
corresponding to the columns below it.
tom dick harry
1 2 3
4 5 6
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column information |
Several information rows will be placed after the column names and
before the data rows. Each row represents a peice of information that
habitat holds on each column, such as a description.
Information is printed in column order and an additional
unlabeled column is printed at the end to name the information row.
This is unusual as it 'throws' some scanners that require all rows
to have constant columns.
Additionally, a single line containing two dashes, `--', is
inserted before the data lines as a delimiter.
tom dick harry
thomas richard henry alternate
--
1 2 3
4 5 6
In the above example, we see an info line called alternate
giving more information about each column.
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insertion time |
An additional column will be placed in the output, named inserted
that contains the time of the sample, generally the insertion time.
The format is time_t in C-speak, which is the number of
seconds since the unix epoch, Janurary 1 1970.
inserted tom dick harry
998337060 1 2 3
998337120 4 5 6
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sequence number |
An additional column will be placed in the output, named sequence
that contains an internally generated sequence number, running from 0
positively and wrapping at 231.
It is useful for two reasons: Firstly it determins the order of data
when multiple samples arrive at the datastore during the same second.
Secondly, it groups multi line samples together, unseful in
processing the same attributes from multiple instances like disk
statistics.
inserted sequence read/s write/s disk
998337060 0 1 2 1
998337060 0 4 5 2
998337060 1 7 8 1
998337060 1 10 11 2
The table above shows two samples over four rows. As the
inserted time column is the same, only the two values from
sequence tells us there are two sets of samples.
In this case disk changes and will be the instance.
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