vladimirg-db opened a new pull request, #46181:
URL: https://github.com/apache/spark/pull/46181

   What changes were proposed in this pull request?
   Added hand-crafted implementations of unicode-aware lower-case contains, 
startsWith, endsWith to optimize UTF8_BINARY_LCASE for ASCII-only strings.
   
   Why are the changes needed?
   UTF8String.toLowerCase(), which is used for the aforementioned 
collation-aware functions, has an optimization for full-ascii strings, but 
still always allocates a new object. In this PR I introduced loop-based 
implementations, which fall-back to toLowerCase() in case they meet a non-asci 
character.
   
   Does this PR introduce any user-facing change?
   No, these functions should behave exactly as:
   
   lhs.containsInLowerCase(rhs) == lhs.toLowerCase().contains(rhs.toLowerCase())
   lhs.startsWithInLowerCase(rhs) == 
lhs.toLowerCase().startsWith(rhs.toLowerCase())
   lhs.endsWithInLowerCase(rhs) == lhs.toLowerCase().endsWith(rhs.toLowerCase())
   How was this patch tested?
   Added new test cases to org.apache.spark.unsafe.types.CollationSupportSuite 
and org.apache.spark.unsafe.types.UTF8StringSuite, including several unicode 
lowercase specific. Also I've run CollationBenchmark on GHA for JDK 17 and JDK 
21 and have updated the data.
   
   Was this patch authored or co-authored using generative AI tooling?
   No


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