s3grep is an overly simple command to scan files in S3 for lines matching a
search query. It hacks S3 Select to find lines in a file that contain a search string.
NOTE: This is just a proof of concept / toy project for now.
This was written in order to simplify finding lines in a file that match a string. Without this command I've resorted to downloading the whole file and piping to grep. This uses a lot of bandwidth, and can be slow. And alternative is to use S3 Select to find lines containing a string, and that's exactly what this command does.
Note that there is a cost associated with scanning a file in S3 per byte scanned. If the files are compressed, the cost can be lowered as there will be less bytes scanned.
On the GitHub releases page, download the latest binary for your platform from the "Assets" dropdown. Rename to
s3grep.exe (Windows), and add to a folder in your path.
- Install golang: https://golang.org
- Setup a go environment: https://golang.org/doc/code.html
- Use go get to install
$ go get github.com/markwatson/s3grep
-match string The text to match on. -path string The S3 path to scan.
- We only scan a single file at a time.
- Only simple string matches are supported.
- Files with null bytes aren't supported.
- The credentials setup in the default environment are the only ones used. For fancy profiles use something like aws-runas.
- Scan paths to search multiple files. Ideally it should detect if the path is a single file or prefix, and in the case of a prefix just scan all matching files.
- When we start doing a lot of operations, ensure we do them in parallel. Make use of the Cloud!!
- Handle true regex patterns to find in files. We will have to use some combination of pruning files with S3 queries & then filtering from there to limit data transfers.
- Consider indexing S3 lists / files so we don't have to re-pull data down each time.
- Support files with null bytes. This is currently difficult because of how we hack S3 select to work for our purpose.
- Possibly detect schemas and support other types of ad hoc queries over files. This would kinda be moving away from a "grep" model.
- Improve the credential / region handling to be more flexible. Currently we just use the default in the user's env, but it would be nice if we supported profiles, etc.
- Add the ability to estimate cost upfront, and let the user set limits. By storing a mapping of costs in various regions, we could limit the number of
listqueries, and avoid scanning super large files without the user explicitly deciding to do so. Additionally, we could consider the trade-off in cost and time between pulling a file and scanning v. letting AWS scan it for us.