And, of course, your data set size would never be nearly as large as Google's. So searching is much faster, but at the expense of paying engineers to maintain it and being willing to wait until the updates occur in the database. scss files in current directory but somewhere deeper in subdirs so grep does not look in all the files you wanted. The grep utility essentially takes string input from files or standard input and uses patterns or Regex to search through it and print matching lines. It requires more expertise to set up, and there's a lag between the time the document is updated and the time the search indexes are updated. there's a downside to that approach, too. It instead uses complex algorithms to get the key details from each page, put them in a searchable database, updates the indexes periodically, and uses the databases for searching. For example, Google does not download everyone's web pages and then use grep on them, this would be very slow. You would end up going through file systems like /proc. On a typical system, it might not be a good idea, as grep doesnt have an option to not descend into mounted file systems. The following example shows how to search through all the files in the current directory for lines that do not contain the letter e. You can use the -r option to grep recursively: Read all files under each directory, recursively, following symbolic links only if they are on the command line. To search for all the lines of a file that do not contain a certain string, use the -v option to grep. When organizations want to search a large amount of data, they don't typically use a tool like grep, but instead put the data into an indexed database designed for searching. Searching for Lines Without a Certain String. Having said that, I would expect that a search of tens of thousands of files would indeed take a lot of time. You could try using different grep tools (such as the one from Linux) to see if it works faster than the one IBM provides with QShell, maybe that'd help?
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