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Description

This error indicates a problem with the data type or value during a SQLScript operation within SAP HANA, often when converting or processing numeric data. It typically arises when a value cannot be correctly interpreted or stored in its intended format, leading to a system interruption.

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Error Message

ERR_SQLSCRIPT_VALUE_ERROR

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Known Causes

3 known causes

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Data Type Mismatch

This occurs when an operation tries to assign or convert a value to a data type that is incompatible, such as attempting to store text in a numeric field.

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Invalid Numeric Format

The system encounters a numeric value that does not conform to the expected format, for instance, incorrect decimal separators or embedded non-numeric characters.

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Value Out of Range

A numeric value provided is either too large or too small to be stored within the defined limits of its target data type or column in the database.

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Solutions

3 solutions available

1. Validate Input Data Types and Ranges medium

Ensure that numeric data being inserted or processed in SQLScript aligns with the expected data types and value ranges of the target database columns.

1

Identify the specific SQLScript procedure or function that is failing. This often requires analyzing the application logs or the trace of the failing operation.

2

Examine the data types defined for numeric columns (e.g., INTEGER, BIGINT, DECIMAL, FLOAT) in the SAP S/4HANA database schema that are being affected by the SQLScript.

SELECT TABLE_NAME, COLUMN_NAME, DATA_TYPE FROM "SYS"."COLUMNS" WHERE SCHEMA_NAME = '<your_schema_name>' AND DATA_TYPE LIKE '%INT%' OR DATA_TYPE LIKE '%DECIMAL%' OR DATA_TYPE LIKE '%FLOAT%';

3

Review the input values being passed to the SQLScript. Pay close attention to values that might be:
- Too large or too small for the target numeric type (e.g., exceeding BIGINT limits).
- Not a valid numeric format (e.g., containing non-numeric characters where a number is expected).
- Null values where a non-nullable numeric column is expected.

4

Modify the application logic or data cleansing processes to ensure that all numeric inputs conform to the database schema's expectations. This might involve casting, rounding, or truncating values before they are passed to the SQLScript.

2. Check for Numeric Overflow or Underflow in Calculations medium

Analyze SQLScript logic for arithmetic operations that might result in values outside the representable range of the numeric data types.

1

Locate the SQLScript code (procedure, function, or inline script) that is causing the error. Debugging tools within SAP HANA Studio or SAP Business Application Studio can be invaluable here.

2

Identify any arithmetic operations (addition, subtraction, multiplication, division) that involve numeric variables or column values. Focus on operations where intermediate results could potentially exceed the maximum or fall below the minimum value of the data type.

3

If possible, use larger numeric data types for intermediate calculations. For example, if you are performing calculations that might exceed the range of an INTEGER, consider using BIGINT or DECIMAL with sufficient precision and scale.

DECLARE temp_result BIGINT; temp_result = intermediate_integer_value * another_integer_value;

4

Implement checks for potential overflows before performing calculations. This can be done by comparing operands against predefined limits or by using functions that handle potential overflows.

IF (a > 0 AND b > 0 AND a > (MAX_BIGINT_VALUE / b)) THEN RAISE EXCEPTION 'Numeric overflow detected'; END IF;

5

For division, ensure that the divisor is not zero to prevent division-by-zero errors, which can sometimes manifest as value errors.

IF divisor <> 0 THEN result = numerator / divisor; ELSE result = 0; END IF;

3. Review Data Type Conversions in SQLScript medium

Ensure that explicit or implicit data type conversions within SQLScript are handled correctly and do not lead to invalid numeric representations.

1

Examine the SQLScript code for any explicit type casting operations (e.g., using CAST or CONVERT) or implicit conversions that occur when assigning values between different numeric types or between numeric and string types.

2

Pay special attention to conversions from strings to numeric types. If a string contains non-numeric characters or is in an unexpected format, the conversion will fail. For example, converting '123.45abc' to a DECIMAL will cause an error.

3

Use robust conversion functions that allow for error handling or provide default values. SAP HANA's SQLScript offers functions like TO_DECIMAL, TO_BIGINT, etc. You can also use try-catch blocks for more complex error management.

TRY result = TO_BIGINT('some_string_value');
CATCH (
  sqlstate VARCHAR(5) := SQLSTATE;
  message_text VARCHAR(1000) := MESSAGE_TEXT;
)
IF sqlstate <> '00000' THEN result = 0; -- or handle error appropriately
END IF;

4

Before converting, validate the string content to ensure it represents a valid number. This might involve using regular expressions or string manipulation functions.

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Related Errors

5 related errors

SAP S/4HANA Error 1301: SQLScript Numeric Value Error