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Description

This error indicates a problem with the syntax of a filter expression within SAP S/4HANA's SQLScript, specifically in built-in contexts. It typically occurs when the system attempts to parse or execute SQLScript code containing an improperly formatted filter.

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Error Message

Syntax Error in filter expression

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Known Causes

4 known causes

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Invalid Operator Usage

Using incorrect logical (e.g., AND, OR) or comparison operators (e.g., =, <, >) that do not conform to SQLScript syntax rules.

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Mismatched Parentheses

Incorrect grouping of filter conditions due to missing, extra, or improperly placed parentheses.

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Incorrect Keyword or Function Call

Misspelling reserved keywords or calling functions with an incorrect number or type of arguments within the filter expression.

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Undeclared Variables/Columns

Referencing a variable or column name in the filter expression that has not been declared or does not exist in the current scope.

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Solutions

3 solutions available

1. Correcting Basic Syntax in SQLScript Filter Expressions easy

Identifies and corrects common syntax errors like missing commas, incorrect operators, or misplaced keywords in SQLScript filter clauses.

1

Review the SQLScript code where the error 1331 is reported. Pay close attention to the `WHERE` clause or any other filtering construct.

Example of a common error:
SELECT * FROM "MY_SCHEMA"."MY_TABLE" WHERE "COLUMN_A" = 'Value1' AND "COLUMN_B" = 'Value2'  -- Missing comma after 'Value1'

Corrected version:
SELECT * FROM "MY_SCHEMA"."MY_TABLE" WHERE "COLUMN_A" = 'Value1', "COLUMN_B" = 'Value2' -- Incorrect syntax

Corrected version:
SELECT * FROM "MY_SCHEMA"."MY_TABLE" WHERE "COLUMN_A" = 'Value1' AND "COLUMN_B" = 'Value2' -- Correct syntax for AND

2

Ensure correct operator usage. Common operators include `=`, `!=`, `<`, `>`, `<=`, `>=`, `LIKE`, `IN`, `BETWEEN`, `IS NULL`, `IS NOT NULL`.

Example of incorrect operator:
SELECT * FROM "MY_SCHEMA"."MY_TABLE" WHERE "COLUMN_C" > '2023-01-01' AND "COLUMN_D" = 'Active' -- Correct syntax

3

Verify that string literals are enclosed in single quotes (`'`) and that reserved keywords are not used as identifiers without proper quoting (e.g., using double quotes for table and column names in SAP HANA).

Example of potential issue:
SELECT * FROM "MY_SCHEMA"."MY_TABLE" WHERE "DATE" = 2023-01-01 AND "STATUS" = 'Active' -- 'DATE' might be a reserved word, and date literal is not quoted

Corrected version:
SELECT * FROM "MY_SCHEMA"."MY_TABLE" WHERE "DATE" = '2023-01-01' AND "STATUS" = 'Active'

4

Check for correct use of logical operators (`AND`, `OR`, `NOT`) and ensure they are used to combine conditions correctly. Parentheses can be used to control the order of evaluation.

Example with parentheses:
SELECT * FROM "MY_SCHEMA"."MY_TABLE" WHERE ("COLUMN_A" = 'Value1' OR "COLUMN_B" = 'Value2') AND "COLUMN_C" != 'Excluded'

2. Validating Data Types and Function Usage in Filters medium

Ensures that data types are compatible when comparing values in filter conditions and that any used functions are correctly implemented.

1

Inspect the data types of the columns involved in the filter expression and compare them with the data types of the literal values or variables being used for filtering.

Example of type mismatch:
SELECT * FROM "MY_SCHEMA"."MY_TABLE" WHERE "NUMERIC_COLUMN" = '100' -- Comparing a number column with a string

Corrected version:
SELECT * FROM "MY_SCHEMA"."MY_TABLE" WHERE "NUMERIC_COLUMN" = 100

2

If using date or timestamp literals, ensure they are formatted correctly according to SAP HANA's expected format (typically YYYY-MM-DD for dates and YYYY-MM-DD HH:MI:SS for timestamps). Explicit casting might be necessary.

Example with explicit casting:
SELECT * FROM "MY_SCHEMA"."MY_TABLE" WHERE "DATE_COLUMN" = TO_DATE('2023-10-27', 'YYYY-MM-DD')

3

If any SQL functions are used within the filter expression (e.g., `UPPER()`, `SUBSTRING()`, date functions), verify their syntax and that they are being applied to the correct arguments. Consult SAP HANA SQL documentation for function specifics.

Example using a function:
SELECT * FROM "MY_SCHEMA"."MY_TABLE" WHERE UPPER("VARCHAR_COLUMN") = 'UPPERCASE_VALUE'

4

For more complex filter logic, consider breaking down the expression into smaller, testable parts or using intermediate variables/common table expressions (CTEs) to simplify debugging.

Example with CTE:
WITH FilteredData AS (
  SELECT * FROM "MY_SCHEMA"."MY_TABLE" WHERE "COLUMN_A" = 'Value1'
)
SELECT * FROM FilteredData WHERE "COLUMN_B" > 10;

3. Resolving Issues with Complex SQLScript Logic and Subqueries advanced

Addresses syntax errors arising from intricate SQLScript constructs like correlated subqueries, joins within WHERE clauses, or complex `CASE` statements used for filtering.

1

Carefully examine the structure of any subqueries used in the `WHERE` clause. Ensure that the subquery returns a single value if used with comparison operators, or multiple values if used with `IN` or `EXISTS`.

Example of a problematic correlated subquery:
SELECT T1.* FROM "MY_SCHEMA"."TABLE1" T1 WHERE T1."ID" IN (SELECT T2."ID" FROM "MY_SCHEMA"."TABLE2" T2 WHERE T2."VALUE" = T1."VALUE") -- Potentially valid, but syntax needs careful checking.

Consider rewriting for clarity if complex:
SELECT T1.* FROM "MY_SCHEMA"."TABLE1" T1 JOIN "MY_SCHEMA"."TABLE2" T2 ON T1."ID" = T2."ID" AND T1."VALUE" = T2."VALUE"

2

If joins are performed within the `WHERE` clause (e.g., using `EXISTS` with a join), ensure the join conditions are correctly specified and that the syntax for the `EXISTS` clause is valid.

Example with EXISTS and JOIN:
SELECT T1.* FROM "MY_SCHEMA"."TABLE1" T1 WHERE EXISTS (
  SELECT 1 FROM "MY_SCHEMA"."TABLE2" T2 WHERE T1."ID" = T2."ID" AND T2."STATUS" = 'Active'
)

3

If `CASE` statements or other control flow logic are used to dynamically construct filter conditions, ensure the `CASE` statement itself is syntactically correct and that its output is compatible with the comparison being made.

Example with CASE statement:
SELECT * FROM "MY_SCHEMA"."MY_TABLE" WHERE (
  CASE WHEN "CATEGORY" = 'A' THEN "VALUE" ELSE 0 END
) > 100

4

Use a SQL debugger or execute parts of the query incrementally to isolate the problematic section. SAP HANA Studio or SAP Business Application Studio (BAS) can be invaluable for this.

text
(No direct code snippet for debugger, but the instruction implies using the debugger tool within your IDE).

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Related Errors

5 related errors

SAP S/4HANA Error 1331: SQLScript Filter Syntax