There is another well-known editor known as “Stream Editor (sed)”; sed command line utility of Ubuntu provides an extensive support to manage text files; this tool is ranked in topmost editors because of the advanced features that it offers while dealing with text files. The reason behind its popularity is one line command operation: which means that it can manage text files using terminal and the users do not have to open and manually edit any text file. Capturing group refers to another advanced feature of this tool; the group capturing functionality of sed allows the user to get the specific part of a text file or a line. In this detailed guide, we have briefly described the concept of capture grouping, its working and usage with sed.
Firstly, we will get some deep insight into the capture groups and then we’ll proceed to its usage with sed:
So, Let’s start today’s guide:
How capture groups work
As discussed above, capture groups are the specific part of any line, or text file. There may be one of the following purposes behind the capture groups:
- To capture the information
- Manipulate the text for specific match
It can be used to get the pinpoint information by searching the specific part inside a text file as well as the manipulation operations can also be performed on that specific match.
How to make capture groups using sed command in Ubuntu
The capture groups in sed are formed by applying parenthesis to regular expressions or the operation that the user wants to perform. For instance, to make capture groups you have to put parenthesis like “\(” at start and “\)” at the end of a specific regular expression:
In short, capture group are used to take the specific part of line, text file and then perform an operation on that group:
The upcoming examples demonstrate the use of capture groups using sed command; examples vary from basic to advanced level.
Capturing Single group using sed command
The command written below will capture the word “Hello” and then replace the word occurring after it (“sed!”) with “Linuxhint”: You may have noticed that capture group is enclosed in parenthesis expression “\(” and “\)”.
Capturing multiple groups using sed command
The sed command allows you to capture multiple groups and then perform the operation on that group. For instance, the command mentioned below will capture and print only selected groups. It is observed that capture groups can be called by assigning them an order name:
In the echo part of this command three distributions and a parent Linux is placed, i.e., total four entries: however, in the sed command we have only called 1,2 and 3 groups in reverse order. The output shows that only three groups are printed in reverse order while “Fedora” keeps its original position:
Capturing groups of complex expressions
Let’s say we have an expression that contains alphanumeric keywords; we have to make groups and then print them in any (reverse/normal) order. The command given below show that the expression contains alphanumeric keywords; we have made groups of all three alphanumeric words and then displayed those words in a reverse order:
Note: The same command can be used by replacing “\w\w*” with “[[:alnum:]_]\{1,\}”:
The command above contains capture groups “\(\w\w*\)”; these work for alphanumeric keywords. You can execute the above command by using the alphanumeric character class as a capture group. For instance, the command mentioned below will give the same output when alphanumeric character class is used as a capture group:
Conclusion
Sed command line utility provides detailed guidance to deal with text files using command line terminal; this editor may be difficult to operate but as you dig into the details, you will find it easy to understand and apply. Moreover, its advanced functionalities ease the process of manipulating and managing the text files; like regular expressions and group capturing. In this article, we have pinned down the concept of capture groups in sed; and provided the thorough usage by referring to a few examples. The capture groups are quite useful especially when you have very large text files and want to identify specific content from those files.