khakhlyuk opened a new pull request, #53423:
URL: https://github.com/apache/spark/pull/53423
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### What changes were proposed in this pull request?
Following https://github.com/apache/spark/pull/53241 I am adding sql states
for a set of PySparkException error classes.
I chose the following sql states mappings:
- `42K09` - "Data type mismatch"
- a long list of error classes like NOT_LIST_OR_STR_OR_TUPLE, quite
self-explanatory
- `0A000` - "feature not supported"
- ATTRIBUTE_NOT_SUPPORTED, CLASSIC_OPERATION_NOT_SUPPORTED_ON_DF,
JVM_ATTRIBUTE_NOT_SUPPORTED, NOT_IMPLEMENTED, ONLY_SUPPORTED_WITH_SPARK_CONNECT
- `08003` - "connection does not exist"
- NO_ACTIVE_SESSION, NO_ACTIVE_OR_DEFAULT_SESSION
- The 08003 SQL state is a standard ANSI/ISO state meaning "connection
does not exist". A Spark session is conceptually similar to a database
connection. If there is no active session, a connection doesn't exist.
- `08002` - "connection name in use"
([spark](https://github.com/apache/spark/blob/d587eec2e25c79a860f7ae07947276f1394ee17a/common/utils/src/main/resources/error/error-states.json#L908))
/ "connection already exists" [(IBM
DB2)](https://www.ibm.com/docs/en/db2-for-zos/12.0.0?topic=codes-sqlstate-values-common-error)
- SESSION_ALREADY_EXIST
- "Connection already exists" would map perfectly to the error class,
"connection name in use" sounds a bit confusing but semantically 08002 is still
the best sql state for SESSION_ALREADY_EXIST, especially if we choose 08003 for
NO_ACTIVE_SESSION.
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### Why are the changes needed?
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sql states allow to better categorize and understand exceptions coming from
pyspark
### Does this PR introduce _any_ user-facing change?
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Users will be able to read the newly populated sql states using
`e.getSqlState()`
### How was this patch tested?
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NA, mapping changes.
### Was this patch authored or co-authored using generative AI tooling?
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No
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