u70b3 opened a new pull request, #4973:
URL: https://github.com/apache/datafusion-comet/pull/4973

   ## Which issue does this PR close?
   
   Closes #4556.
   
   ## Rationale for this change
   
   Investigation of #4556 showed that the reported fallback of `try_to_date` / 
`try_to_timestamp` does not exist on current `main`. All four functions 
(`to_date`, `to_timestamp`, and their `try_` variants) are `RuntimeReplaceable` 
and are expanded by Spark's `ReplaceExpressions` before Comet sees the plan. In 
non-ANSI mode the expansions are identical between the `try_` and non-`try_` 
forms:
   
   - no format: `Cast(..., EvalMode.LEGACY)` (`EvalMode.fromBoolean(false)` is 
`LEGACY`, not `TRY`)
   - with format: `Cast(GetTimestamp(..., failOnError = false))`
   
   Comet already accelerates both building blocks (native `Cast`; 
`GetTimestamp` via the codegen dispatcher since #4454), so there is no serde 
gap to close. The 15 `spark_answer_only` markers in `try_datetime.sql` were 
conservative annotations introduced in #4555 — that mode only compares answers 
without asserting native execution — and predate the `GetTimestamp` dispatch 
support.
   
   ## What changes are included in this PR?
   
   - `try_datetime.sql`: flip the 15 `try_to_date` / `try_to_timestamp` queries 
from `spark_answer_only` to the default `query` mode (native coverage + answer 
check). The 3 `try_make_timestamp` markers are unchanged; they belong to #4554.
   - `docs/.../expressions.md`: support matrix entries for `try_to_date` / 
`try_to_timestamp` 🔜 -> ✅.
   - `docs/.../expression-audits/datetime_funcs.md`: add audit entries for both 
functions.
   
   ## How are these changes tested?
   
   ```
   ./mvnw test -Pspark-4.1 -Dtest=none \
     -Dsuites="org.apache.comet.CometSqlFileTestSuite try_datetime" 
-DwildcardSuites=none
   ```
   
   passes with all 15 queries executing fully native (the default `query` mode 
asserts an all-Comet plan and compares answers against Spark). This directly 
verifies the issue's acceptance criteria: native execution with 
NULL-on-invalid-input behavior matching Spark.
   


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