Text Filter Online

1. Line Filter :
   1. All Lines : No filtering, that is, all lines of text comply with the rules.
   2. Line Number : Select lines according to the line number. Line numbers support the form of numbers, ranges, and An+B (n is an integer of 0,1,2,3,4...). For example 3,5-10,2n+1,5n. Multiple line number rules are separated by commas, and the union of all input line numbers will be selected. For example, entering 1,2-3 will select lines 1,2,3.
   3. Text Match : The line needs to contain the entered text to match.
   4. Regex Match : The line needs to match the regular expression.
   5. Reverse : If yes is selected, lines with mismatched rules will be selected.
2. Col Filter :
   1. All Columns : Output the whole line of text completely.
   2. Text Split : Use the text split behavior to split multiple columns (only count non-empty columns).
   3. Regex Split : Use regular expressions to split multiple columns (only count non-empty columns).
   4. Regex Match : Take the content that the regular expression matches as a column. If there are multiple matches, multiple columns will be formed.
   5. Format : How to combine split or matched columns into rows. ${0} represents the original whole line of text, ${1} represents the first column, ${2} represents the second column, and so on. If the ${number} does not match the column, it will be output as is. Other text in the format will be output as is.
3. Regular expression : Regex - javascript regex string , Regex Flag - The flags of regular expressions. The range of flags supported by this tool is d, i, u. The supported regular expression syntax is Javascript Regular Expression.
4. Open File : Open the local text file, and the supported file encoding is UTF-8. If your file is not encoded like this, you can open it in another editor and copy it into the input.
5. Download : Download the processing results locally.
6. Use Example:
   1. Extract even lines of text : The parameters used are Line Filter - Line Number, Line No - 2n, Reverse - No, Col Filter - All Columns.
   2. Extract the MySQL image ID and convert it to the delete image command : The parameters used are Line Filter - Text Match, Text - mysql, Reverse - No, Col Filter - Text Split, Text - (one space), Format - docker image rm ${3}.
      Input

      REPOSITORY                                                       TAG                 IMAGE ID            CREATED             SIZE
      nginx                                                            1.19.7              35c43ace9216        16 months ago       133MB
      mysql                                                            5.7.31              d05c76dbbfcf        24 months ago       448MB
      redis                                                            latest              191c4af7dcdd        2 years ago         89.3MB
      mysql                                                            5.7.12              2fd136002c22        6 years ago         378MB

      
      Output

      docker image rm d05c76dbbfcf
      docker image rm 2fd136002c22