I think one of the best code search tools I've seen is the one here: https://source.chromium.org/chromium I guess that's what Google uses internally? Is there an open source alternative?
I am pretty sure that's what sourcegraph is trying to do.
Lmgrep: Lucene-based grep-like utility
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Re: Lmgrep: Lucene-based grep-like utility
#12I’ve been looking for something exactly like this. I keep the complete text of articles I’ve enjoyed but, to-date, effective searching has meant spinning up an ES instance, which is painful. This is a specific use case that isn’t necessarily well-served by something like grep or ripgrep. I’ll definitely try this, thanks - looks very elegant.
Can you say more, I'm curious.
Is it automated in some way during web browsing, remembering to copy to a folder when you enjoyed it enough, or do you use a reading app/e-reader to read them so they're already downloaded
Re: Lmgrep: Lucene-based grep-like utility
#13I think one of the best code search tools I've seen is the one here: https://source.chromium.org/chromium I guess that's what Google uses internally? Is there an open source alternative?
There is DXR from Mozilla but I'm not sure how generalised it is.
https://github.com/mozilla/dxr
There is also Sourcegraph.
Re: Lmgrep: Lucene-based grep-like utility
#14I think one of the best code search tools I've seen is the one here: https://source.chromium.org/chromium I guess that's what Google uses internally? Is there an open source alternative?
There is DXR from Mozilla but I'm not sure how generalised it is. https://github.com/mozilla/dxr There is also Sourcegraph.
Thank you, DXR looks amazing.
Re: Lmgrep: Lucene-based grep-like utility
#15I’ve been looking for something exactly like this. I keep the complete text of articles I’ve enjoyed but, to-date, effective searching has meant spinning up an ES instance, which is painful. This is a specific use case that isn’t necessarily well-served by something like grep or ripgrep. I’ll definitely try this, thanks - looks very elegant.
Have you considered using Docfetcher or Recoll?
Re: Lmgrep: Lucene-based grep-like utility
#16I’ve been looking for something exactly like this. I keep the complete text of articles I’ve enjoyed but, to-date, effective searching has meant spinning up an ES instance, which is painful. This is a specific use case that isn’t necessarily well-served by something like grep or ripgrep. I’ll definitely try this, thanks - looks very elegant.
Have you considered using Docfetcher or Recoll?
Or Zotero?
Re: Lmgrep: Lucene-based grep-like utility
#17I’ve been looking for something exactly like this. I keep the complete text of articles I’ve enjoyed but, to-date, effective searching has meant spinning up an ES instance, which is painful. This is a specific use case that isn’t necessarily well-served by something like grep or ripgrep. I’ll definitely try this, thanks - looks very elegant.
I'm the author of `lmgrep`.
Happy to hear that you liked it.
I have a similar user use-case: searching for blog posts that are in markdown source files.
Re: Lmgrep: Lucene-based grep-like utility
#18I'm surprised/impressed that it can build an index and search it in 29 milliseconds. Pretty clever solution!
Thanks! This speed is possible because two things: GraalVM native-image (fast startup) and Lucene (for doing the work).
Re: Lmgrep: Lucene-based grep-like utility
#19Very nice, examples are in the repository https://github.com/dainiusjocas/lucene-grep#text-analysis
Thanks! The text analysis machinery baked into `lmgrep` is the thing that I'm very proud of.
Re: Lmgrep: Lucene-based grep-like utility
#20Wow. This is nice. I can see putting it to use with csv and json with gron or something. I don’t have that much markdown to search, but having a tool be just there in the shell might change that.
I see they have enabled Snowball stemmers. I wonder if using other Lucene analyzers such as Voikko for Finnish is feasible. Snowball wasn’t particularly good when text get complex. I used to deal with Lucene and Solr way back when. Based on the OP I see Graal requires change.