SnowConvert AI - Redshift - EXIT HANDLER¶
Description¶
Amazon Redshift, which uses PL/pgSQL for procedural logic, supports EXIT handlers in stored procedures through EXCEPTION blocks. An EXIT handler terminates the current block when a specific condition is met and transfers control to the handler code.
When migrating code from database systems that use EXIT HANDLERs (such as DB2, Teradata, or other systems) to Snowflake, SnowConvert AI transforms these constructs into equivalent Snowflake Scripting exception handling mechanisms.
An EXIT HANDLER causes the procedure to exit the current block and return control to the caller after executing the handler code. In Snowflake, this behavior is emulated using EXCEPTION blocks with appropriate logic.
For more information about Redshift exception handling, see Exception Handling in PL/pgSQL.
Grammar Syntax¶
Redshift does not have native DECLARE EXIT HANDLER syntax. However, when converting from other database systems, the source pattern typically looks like:
In Redshift, exception handling uses:
Sample Source Patterns¶
EXIT HANDLER Conversion to Snowflake¶
When migrating stored procedures from systems with EXIT HANDLER to Snowflake via Redshift, SnowConvert AI transforms them into Snowflake-compatible exception handling.
Input Code:¶
Source (DB2/Teradata Pattern)¶
Output Code:¶
Snowflake Scripting¶
EXIT HANDLER with Specific SQLSTATE¶
Input Code:¶
Source (DB2/Teradata Pattern)¶
Output Code:¶
Snowflake Scripting¶
EXIT HANDLER for NOT FOUND¶
Input Code:¶
Source (DB2/Teradata Pattern)¶
Output Code:¶
Snowflake Scripting¶
EXIT HANDLER with Cursor¶
Input Code:¶
Source (DB2/Teradata Pattern)¶
Output Code:¶
Snowflake Scripting¶
Known Issues¶
EXIT HANDLER Behavior¶
The conversion from EXIT HANDLER to Snowflake exception handling provides equivalent termination behavior:
Block Termination: Both EXIT HANDLER and Snowflake EXCEPTION blocks terminate the current BEGIN…END block.
Return Control: After executing the handler code, control returns to the caller.
Execution Flow: Statements after the error point are not executed.
Multiple EXIT Handlers¶
When multiple EXIT HANDLERs are defined with different conditions, they must be merged into conditional logic:
Source Pattern¶
Snowflake¶
Mixed CONTINUE and EXIT Handlers¶
Source systems that allow mixing CONTINUE and EXIT handlers in the same block present special challenges. Snowflake does not support this pattern in a single EXCEPTION block.
SQLSTATE Mapping¶
Not all SQLSTATE codes from source systems map directly to Snowflake exception types. SnowConvert AI performs best-effort mapping:
Source SQLSTATE |
Condition |
Snowflake Equivalent |
|---|---|---|
02000 |
NO DATA |
NO_DATA_FOUND |
23xxx |
Integrity Constraint |
STATEMENT_ERROR |
42xxx |
Syntax Error |
STATEMENT_ERROR |
Other |
General |
OTHER |
Best Practices¶
When working with converted EXIT HANDLER code in Snowflake:
Understand Exit Semantics: EXIT handlers terminate the current block. Verify this matches your requirements.
Test Error Conditions: Thoroughly test all error scenarios to ensure proper exit behavior.
Use Return Values: Consider using RETURN statements in exception handlers to communicate status.
Implement Logging: Add comprehensive logging to track when and why procedures exit.
Transaction Management: Use Snowflake’s transaction support to maintain data consistency.
Nested Blocks: Remember that EXIT only affects the current block, not outer blocks or the entire procedure.
Error Information: Capture error details (SQLCODE, SQLERRM, SQLSTATE) in exception handlers for debugging.