cloud-fan commented on code in PR #58408:
URL: https://github.com/apache/spark/pull/58408#discussion_r3996976265


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docs/sql-migration-guide.md:
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@@ -25,6 +25,7 @@ license: |
 ## Upgrading from Spark SQL 4.3 to 4.4
 
 - Since Spark 4.4, the optimizer rule `SimplifyCaseConversionExpressions` no 
longer simplifies mixed case conversions `LOWER(UPPER(str))` to `LOWER(str)` or 
`UPPER(LOWER(str))` to `UPPER(str)`. This preserves standard Unicode case 
mapping semantics for non-ASCII characters such as Latin small letter dotless i 
(`ı` U+0131) and micro sign (`µ` U+00B5).
+- Since Spark 4.4, `format_string` and `printf` pass a decimal argument to 
`java.util.Formatter` as a `java.math.BigDecimal`, so the floating-point 
conversions `%f`, `%e`, and `%g` format decimals instead of failing with 
`IllegalFormatConversionException`. `%a` still rejects a decimal, because 
`Formatter` supports it only for `float` and `double`. As a side effect, `%h` 
on a decimal prints a different hash than earlier releases, because it now 
hashes the `java.math.BigDecimal` (unscaled value and scale) rather than 
Spark's internal `Decimal` (which hashes consistently with `Double`). `%s` 
output and `NULL` handling are unchanged.

Review Comment:
   Confirmed: the migration note now says the hash can change and names a case 
where it does not.
   
   <!-- SPARK_DEV_REVIEW_REPLY 
{"feedback_id":"inline:3926331028","thread_id":"inline:3926331028","verdict_sha256":"8962b2f244b4a8a02254ee3e94fbb0fc1f898f281cfa0aba7c9b69ab4915925b"}
 -->



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