Christoph Dreis comments

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                                            Christoph Dreis

Add checkstyle rules for List.of() / Set.of() / Map.of()

May I ask why that decision was taken?

Add checkstyle rules for List.of() / Set.of() / Map.of()

And if that is settled already, I guess we can close #28174 , #28175 & #28176

Add checkstyle rules for List.of() / Set.of() / Map.of()

The null "safety" is a pro-argument in my book. But of course this might be a change in behaviour in certain cases. I don't have strong feelings either way. But...

Add checkstyle rules for List.of() / Set.of() / Map.of()

Aaah - got it. Misinterpreted this. Thanks for clarifying @wilkinsona

Make PublishArtifact to IvyArtifactName conversion lazy

What's blocking this PR from being merged?

Major performance regression caused by unevaluatedProperties

Just out of curiousity I fired our example against **Everit 1.14.1** (latest at the time of writing) vs. **Networknt (1.0.67)**. ``` Benchmark Mode Cnt Score Error Units MyBenchmark.testValidateEverit avgt 10...

Major performance regression caused by unevaluatedProperties

As shown above the unevaluatedProperties optimization only reduces things, but networknt has not the fastest schema validator anymore even if this is fixed. Feel free to repurpose this ticket to...

Major performance regression caused by unevaluatedProperties

@prashanthjos I guess @stevehu just ran https://github.com/networknt/json-schema-validator-perftest . Although it's not a perfect benchmark it shows the regressions as well.

Remove dependency on java.desktop and other modules

I guess this is more on the Framework side of things at https://github.com/spring-projects/spring-framework. The `java.beans` package is quite a central piece if you ask me. Boot has a couple of...

Adding spring-data-starter-data-jpa with ddl-auto=update causes block at startup

I have a very similar issue - if not the same. My workaround was to set `opentracing.spring.cloud.async.enabled` to` false`. I wonder if that helps with your use-case, too @doddatpivotal ?...