EXAMPLE - Splitting with Different Delimiter Types

This example shows how you can split data from a single column into multiple columns using delimiters.

Source:

In this example, your CSV dataset contains status messages from a set of servers. In this case, the data about the server and the timestamp is contained in a single value within the CSV.

Server|Date Time,Status
admin.examplecom|2016-03-05 07:04:00,down
webapp.examplecom|2016-03-05 07:04:00,ok
admin.examplecom|2016-03-05 07:04:30,rebooting
webapp.examplecom|2016-03-05 07:04:00,ok
admin.examplecom|2016-03-05 07:05:00,ok
webapp.examplecom|2016-03-05 07:05:00,ok

Transformation:

When the data is first loaded into the Transformer page, the CSV data is split using the following two transformations:

column1

\n

column1

On pattern

','

\"

You might need to add a header as the first step:

Use row(s) as column names

Use a single row to name columns

1

At this point, your data should look like the following:

The first column contains three distinct sets of data: the server name, the date, and the time. Note that the delimiters between these fields are different, so you should use a multi-pattern delimiter to break them apart:

Server|Date Time

Sequence of patterns

','

' '

When the above is added, you should see three separate columns with the individual fields of information. Note that the source column has been automatically dropped.

Now, you decide that it would be useful to break apart the date information column into separate columns for year, month, and day. Since the column delimiter of this field is consistently a dash (-), you can use a single-pattern delimiter with the following transformation:

Server|Date Time2

By delimiter

'-'

2

Results:

After you rename the generated columns, your dataset should look like the following. Note that the source timestamp column has been automatically dropped.