A temporary file is created for the duration of the application run and will be removed when it comes to an end. Therefore, the results should be saved to a file by the users before the end.

Step 1 Choose tab or comma separated output format
Step 2 Select name and/or information rows above each column (see below)
Step 3 Select time and sequence columns in addition to data (see below)
Step 4 Type the command that you want to execute or find it from a list of commonly used commands in the pull down menu. %f is replaced with the name of the created file.
Step 5 Check the details, then click Send to run the command; start-up errors will appear above the buttons. When you have done, click Finished

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
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.
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
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.