urosstan-db opened a new pull request, #58762:
URL: https://github.com/apache/spark/pull/58762

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   ### What changes were proposed in this pull request?
   
   Report invalid JDBC date and timestamp partition bounds using
   `SparkIllegalArgumentException` with condition 
`INVALID_JDBC_PARTITION_BOUND` and
   SQLSTATE `22023`. The message identifies whether `lowerBound` or 
`upperBound` is
   invalid, the supplied value, and the expected data type.
   
   Draft pending an Apache Spark JIRA.
   
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   ### Why are the changes needed?
   
   An invalid JDBC partition bound currently throws a plain 
`IllegalArgumentException`
   without an error condition or SQLSTATE. For example, an unexpanded template 
value
   such as `{bound}` fails with `Cannot parse the bound value {bound} as 
timestamp`,
   which does not identify which JDBC option to correct.
   
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   ### Does this PR introduce _any_ user-facing change?
   
   Yes. Invalid `DATE`, `TIMESTAMP`, and `TIMESTAMP_NTZ` partition bounds now 
produce
   a structured error, for example:
   
   ```text
   [INVALID_JDBC_PARTITION_BOUND] Cannot parse the value "{bound}" for JDBC 
option "upperBound" as "TIMESTAMP". SQLSTATE: 22023
   ```
   
   The exception remains an `IllegalArgumentException` subtype. Valid bound 
parsing
   and the generated partition predicates are unchanged.
   
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   ### How was this patch tested?
   
   Added `JDBCRelationSuite` with cases for invalid lower and upper bounds 
across all
   three temporal types, including placeholder values, empty strings, and 
invalid
   calendar dates. Positive cases check the generated partition predicates.
   Updated the existing `JDBCSuite` timezone-bound regression test to check the
   structured error.
   
   Passed locally with Java 17: all 21 `JDBCRelationSuite` cases, all 38
   `SparkThrowableSuite` cases, and all 3 selected `JDBCSuite` partitioning 
cases.
   
   ```text
   build/sbt "sql/testOnly 
org.apache.spark.sql.execution.datasources.jdbc.JDBCRelationSuite" \
     "core/testOnly org.apache.spark.SparkThrowableSuite" \
     "sql/testOnly org.apache.spark.sql.jdbc.JDBCSuite -- -z columnPartition"
   ```
   
   Scala style checks passed with no errors or warnings:
   
   ```text
   build/sbt "catalyst/scalastyle" "sql/scalastyle" "sql/Test/scalastyle"
   ```
   
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   ### Was this patch authored or co-authored using generative AI tooling?
   
   Generated-by: OpenAI Codex CLI 0.153.4
   
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