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The sync map provides a flexible way to wrap any map implementation and make it thread safe. However, it does suffer from some performance loss due to it's flexible design which may be undesirable in situations where lock contention can range from nothing to low contention (and possibly more). While achieving speeds relative to a ConcurrentHashMap#get and others under low contention may vary, it could be possible to close the gap more, by added a new custom backing implementation to SyncMap and store the data in buckets, similar to a ConcurrentHashMap, with instead of one lock for the whole map, a lock for each bucket. This could also be repeated for custom fastutil implementations too (although it may be trickier). If done correctly, it could result in speeds close to ConcurrentHashMap and higher.

More effort would need to be put in to evaluate the direction here, but it could be a good avenue to go.

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• chore(deps): Update dependency it.unimi.dsi:fastutil to v8.5.13
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Was there any tests done? From what I see SyncMap has worse performance than ConcurrentHashMap, are there any benchmarks? When using flare will be better than normal hashmap/fastutil?

For this to appear useful in any way, this really requires some benchmarks to use for comparisons.

Building with gradle doesn't bring flare's jar, only build-tools and build-logic

Is there a way to have LinkedHashSet with flare?