![]() The grep command looks for lines that match a certain pattern, while the wc command counts the number of lines, words, and bytes in a file. Method 4: Using the Grep and wc CommandsĪnother way to count the number of duplicate lines in a text file is to use the grep and wc commands together. To count the number of duplicate lines using awk, we can use the following command − $ awk '' test.txtĪs you can see, the output shows that there are 2 duplicate lines in the “test.txt” file. It can be used to count the number of duplicate lines in a text file using the variable NR, which holds the number of records (lines) that have been read so far, and the display array, which holds a list of lines that have been seen already in it. ![]() The awk command is a powerful tool for processing text files. We can then use the uniq command with the “-c” flag to count the number of duplicate lines − $ sort test.txt | uniq -cĪs you can see, the output shows that the "Hello" line appears twice, the "Linux" line appears twice, and the "World" line appears once. To count the number of duplicate lines using these commands, we can first sort the lines in our “test.txt” file using the sort command: $ sort test.txt The sort command sorts the lines in a text file, while the uniq command filters out duplicate adjacent lines. Method 2: Use the Sort and Uniq Commands TogetherĪnother way to count the number of duplicate lines in a text file is to use the sort and uniq commands together. To count the number of duplicate lines in our test.txt file using uniq, we can use theĪs you can see, the output shows that the "Hello" line appears twice, the "World" line appears once, and the "Linux" line appears twice. Itb can be used to count the number of duplicate lines by passing the “-c” flag, which causes each line to be prefixed with the number of times it appears in the input. The uniq command is a utility that filters out duplicate adjacent lines from a text file. Save and close the file but keep the terminal open. Next, open the file in your favorite text editor ( nano, vim, etc.) and add the following lines − Hello Open a terminal and create a new file using the touch command − $ touch "test.txt" Preparationīefore we dive into the commands, let's first create a text file with a few duplicate lines that we can use for testing. Whatever the reason, Linux provides several tools and commands you can use to do this. For example, you may want to find out if there are any errors in your data or you may want to optimize your file by removing duplicates. To search in a string or extract parts of a string with a regular expression, use the are several reasons why you might want to count the number of duplicate lines in a text file on a Linux system. vars : vlan : key : " Searching strings with regular expressions This is often a better approach than failing if a variable is not defined: You can provide default values for variables directly in your templates using the Jinja2 ‘default’ filter. If you configure Ansible to ignore most undefined variables, you can mark some variables as requiring values with the mandatory filter. Searching strings with regular expressionsįilters can help you manage missing or undefined variables by providing defaults or making some variables optional. Hashing and encrypting strings and passwords Selecting from sets or lists (set theory) Selecting values from arrays or hashtables You can create custom Ansible filters as plugins, though we generally welcome new filters into the ansible-core repo so everyone can use them.īecause templating happens on the Ansible controller, not on the target host, filters execute on the controller and transform data locally.ĭefining different values for true/false/null (ternary)Ĭombining items from multiple lists: zip and zip_longest You can also use Python methods to transform data. You can use the Ansible-specific filters documented here to manipulate your data, or use any of the standard filters shipped with Jinja2 - see the list of built-in filters in the official Jinja2 template documentation. Controlling how Ansible behaves: precedence rulesįilters let you transform JSON data into YAML data, split a URL to extract the hostname, get the SHA1 hash of a string, add or multiply integers, and much more.Virtualization and Containerization Guides.Protecting sensitive data with Ansible vault.Playbook Example: Continuous Delivery and Rolling Upgrades.Discovering variables: facts and magic variables.Working with language-specific version managers.Controlling where tasks run: delegation and local actions.Hashing and encrypting strings and passwords.Selecting from sets or lists (set theory).Defining different values for true/false/null (ternary).
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