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You can use the Template (template) and Regular expression, regexp (re) operations to transform the values in a string column field into the required template and regexp data types.
How does it work in the search window?
Select Create column field in the search window toolbar, then select the Substitute operation. You need to specify at least three arguments:
Argument | Data type | More information |
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String to scan mandatory | string | You can select a column field in the table or enter a value manually. |
Regular expression mandatory | regexp | You can select a column field in the table or enter a value manually. If you introduce it yourself, you can use the regexp syntax to establish grouping patterns. |
Template mandatory | template | You can select a column field in the table or enter a value manually. If you introduce it yourself, you can use the capturing group syntax to make reference to specific groups established by the regular expression. |
Fail value optional | string | You can select a column field in the table or enter a value manually. |
The data type of the values in the new column field is string.
Note |
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Note that Devo automatically changes the strings manually entered in the Regular expression and Template arguments to the required regexp and template data types. If you want to use a column field on these arguments, it must be a regexp/template type columnfield. You can use the Regular expression, regexp (re) and Template (template) operations to transform a string column field to the required data type. |
Example
In the demosiem.logtrust.ecommerce.dataweb.activity
table, with the eventdate converted to string table, we want to replace the first colon value (:) in every string of our timestamp column eventdate field by a hyphen (-). We will create a new column field using the Substitute operation to do it.
String to scan- timestamp column eventdate field
Regular expression - Click the pencil icon and enter → :
Template - Click the pencil icon and enter → -
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Click Create columnfield and you will see the following result:
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We can also create a column field in the demosiem.logtrust.ecommerceweb.dataactivity
table that substitutes the first dot in IP srcHost ip addresses by a space. To do it, we will create a new column field using the Substitute operation and we will call it Substitute. Before that, we need to transform the clientIpAddress column into string type using the to string (str) operation and we will call it IPstring.Once we have the IPstring column, the The arguments needed to create the new Substitute column Substitute field are:
String to scan- IPstring column srcHost field
Regular expression - Click the pencil icon and enter the following syntax to group up to the first dot→ ([0-9]+)\.*
Template - Click the pencil icon and make reference to the capturing group specified by the regular expression syntax, followed by a space → \1
Status subtle true title space
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If you are going to use the same regular expression and template several times, it is advisable to create column using field using the Regular expression, regexp (re) and Template (template) operations and use them as arguments in the substitute operations. |
Click Create columnfield and you will see the following result:
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If you want to substitute all the dots in the IP addresses, you can use either the Substitute all (subsall) operation with the same arguments or keep using this operation with some adjustments:
String to scan- IPstring column srcHost field
Regular expression - Repeat the regular expression syntax used before as many times as groups needed → ([0-9]+)\.*([0-9]+)\.*([0-9]+)\.*
Template - Make reference to as many capturing groups as groups defined by the regular expression syntax, followed by each of them by a space → \1
\2Status subtle true title space
\3Status subtle true title space Status subtle true title space
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Click Create columnfield and you will see the following result:
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Use the operator select
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... and add the operation syntax to create the new columnfield. These are the valid formats for the Substitute operation:
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Note |
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Note that when you enter a string value as a regular expression and template using LINQ, you have to transform them to regexp and template format using the Regular expression, regexp (re) and Template (template) operations, as you can see in the examples. This is not needed if you perform this operation directly from the search window interface, as said above. |
Example
You can copy the following LINQ script and try the previous examples on the demosiem.logtrust.ecommerceweb.dataactivity
table.
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from demosiem.logtrust.ecommerceweb.dataactivity select str(eventdate) as eventdate_string, subs(timestampeventdate_string, re(":"), template("-")) as substituteeventdate_timestampsubs |
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from demosiem.logtrust.ecommerceweb.dataactivity select str(clientIpAddress) as IPstring, subs(IPstringsrcHost, re("([0-9]+)\\.*([0-9]+)\\.*([0-9]+)\\.*"), template("\\1 \\2 \\3 ")) as Substitute | ||||
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from demo.ecommerce.data select str(clientIpAddress) as IPstringsrcHost_Substituted, subssubsall(IPstringsrcHost, re("([0-9]+)\\.*([0-9]+)\\.*([0-9]+)\\.*"), template("\\1 \\2 \\3 ")) as Substitutesubstitute all_srcHost |