amber-docs VS CQEngine

Record patterns are one step on the path to general pattern matching utility. The bigger building block is general deconstructors. I recommend reading Functional Transformation of Immutable Objects by Brian Goetz. The idea of "withers" shown there requires deconstructors:

https://github.com/openjdk/amber-docs/blob/master/eg-drafts/...

This is the vague plan.

You may be joking but...

Here is the much more detailed version: https://github.com/openjdk/amber-docs/blob/master/eg-drafts/reconstruction-records-and-classes.md

This kind of pattern matching is discussed in the design notes: https://github.com/openjdk/amber-docs/blob/master/site/design-notes/patterns/pattern-match-object-model.md

True, but that only pushes the question of value down the line.

I'm curious about lenses because Java did have a serious problem that required a solution: working with "simple" data correctly was difficult. The chosen solution was ADTs, so we did buy into that. But the approach being explored for transforming records (https://github.com/openjdk/amber-docs/blob/master/eg-drafts/...) only works one level at a time rather than for an entire path. So I wonder how valuable it would be to have a solution for paths. If the answer is that it's mostly valuable for an approach we haven't bought into yet, then we might not need to consider it just yet.

Just a heads up, something like that spread operator is actually coming sooner or later to java: https://github.com/openjdk/amber-docs/blob/master/eg-drafts/...

Pattern matching (for records) is already a preview feature.

Wrote the code to convert CQEngineCQEngine queries into Solr search queries.

It seems that you're looking for something like https://github.com/npgall/cqengine but unfortunately I'm not aware of any equivalent in Go. LINQ is similar. I'd probably try searching for "LINQ in go" or something like that.

I wonder if there's a huge difference in efficiency between RoaringBitmap and CQEngine. I used CQEngine a few years back and it turned out really great. Never tried RoaringBitmap, though.