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Description

Error 22P01 in PostgreSQL, categorized as a 'Data Exception,' indicates a floating point exception. This typically occurs when a mathematical operation involving floating-point numbers results in an undefined or unrepresentable value, such as division by zero or an arithmetic overflow/underflow.

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Error Message

floating point exception

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Known Causes

3 known causes

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Division by Zero

Attempting to divide a floating-point number by zero, which is mathematically undefined and raises this exception.

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Invalid Mathematical Operations

Performing operations that produce an undefined result for floating-point types, such as taking the square root of a negative number or logarithm of zero.

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Floating-Point Overflow/Underflow

Calculations resulting in a number too large (overflow) or too small (underflow) to be represented by the specified floating-point data type.

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Solutions

3 solutions available

1. Identify and Correct Invalid Floating-Point Operations advanced

Examine your SQL queries and application code for operations that might cause a floating-point exception.

1

Review SQL queries that involve floating-point arithmetic (e.g., division, square roots, logarithms). Pay close attention to cases where a denominator might be zero or a value is outside the function's domain (e.g., `sqrt(-1)`).

2

If you're using custom functions or stored procedures, inspect their logic for potential floating-point errors. Look for divisions by zero, or calculations that could result in undefined values.

3

In your application code that interacts with PostgreSQL, ensure that any floating-point calculations performed before sending data to the database are valid. For example, prevent division by zero before executing a `DIVIDE()` function.

4

Implement error handling and validation in your application code to catch and gracefully handle potential invalid floating-point operations before they are sent to the database. Consider using `try-catch` blocks.

Example in Python:
python
try:
    result = 10 / 0
except ZeroDivisionError:
    print("Error: Division by zero!")

2. Check for Data Type Mismatches and Invalid Values medium

Ensure that floating-point columns do not contain unexpected or invalid data that could trigger an exception.

1

Query your tables to identify rows where floating-point columns might contain `NULL` values where they are not expected, or where data might have been inserted incorrectly. Consider using `numeric` or `decimal` types for precise calculations to avoid floating-point issues.

SELECT * FROM your_table WHERE your_float_column IS NULL OR your_float_column = 'invalid_value';

2

If you suspect corrupted data, consider using `pg_dump` to back up your database, then `pg_restore` after attempting to clean the affected data. Alternatively, use `UPDATE` statements to correct invalid entries. For example, to replace invalid entries with `NULL` or a default value.

UPDATE your_table SET your_float_column = NULL WHERE your_float_column = 'problematic_value';
-- Or to set a default value:
UPDATE your_table SET your_float_column = 0.0 WHERE your_float_column = 'problematic_value';

3

If you are importing data from external sources, ensure the import process correctly handles and validates floating-point values. Use data cleaning scripts or tools before loading into PostgreSQL.

3. Investigate PostgreSQL Configuration and Environment advanced

Rule out potential issues with the PostgreSQL server's environment or configuration.

1

Check PostgreSQL server logs for more detailed error messages that might accompany the floating-point exception. These logs can often pinpoint the exact query or operation causing the problem.

Look for files in the `pg_log` directory (location varies by installation). Common log patterns to search for include `FATAL`, `ERROR`, and specific function names.

2

Ensure that the operating system environment where PostgreSQL is running is stable. Unexpected system behavior or resource exhaustion could theoretically lead to such errors, though it's less common.

3

If you're running PostgreSQL on a platform with specific hardware floating-point unit (FPU) considerations, ensure the hardware is functioning correctly. This is a rare but possible cause.

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Related Errors

5 related errors

PostgreSQL Error 22P01: Floating Point Exception