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Description

This error indicates a critical mismatch between the number of columns being retrieved from a database cursor and the variables provided to store them. It typically occurs within SAP HANA SQLScript procedures or functions when data retrieval operations fail due to an incorrect INTO list in a FETCH statement.

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Error Message

ERR_SQLSCRIPT_NUM_FETCH_VALUES: Wrong number of values in the INTO list of a FETCH statement

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Known Causes

3 known causes

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Mismatched Column Count

The number of columns specified in the cursor's SELECT statement does not match the number of variables listed in the FETCH INTO clause.

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Incorrect Variable Declaration

Variables used in the INTO list are either missing, extra, or their data types do not align with the fetched columns.

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Underlying Schema Changes

Modifications to the database table or view structure after the SQLScript procedure was developed can cause a mismatch between the cursor and the FETCH statement.

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Solutions

3 solutions available

1. Align INTO List with Cursor Select List easy

Ensure the number of variables in the INTO clause matches the number of columns in the cursor's SELECT statement.

1

Identify the stored procedure or SQLScript that is raising error 1297. This is typically found in the SAP application logs (SM21) or within the trace files of the affected program.

2

Locate the `FETCH` statement within the identified SQLScript. It will likely have an `INTO` clause.

FETCH cursor_name INTO variable1, variable2, ... ;

3

Examine the `SELECT` statement associated with the `cursor_name`. Count the number of columns being selected.

CURSOR cursor_name IS SELECT column1, column2, ... FROM table_name WHERE ... ;

4

Compare the number of variables in the `INTO` clause with the number of columns in the `SELECT` statement. If they do not match, adjust either the `INTO` list or the `SELECT` list to ensure they are equal. If a column is selected but not needed, it can be removed from the `SELECT` list. If a variable is in the `INTO` list but not selected, it needs to be added to the `SELECT` list or removed from the `INTO` list.

/* Example of incorrect FETCH */
FETCH my_cursor INTO v_col1, v_col2;  -- Expects 2 columns

/* Example of correct FETCH if cursor selects 3 columns */
CURSOR my_cursor IS SELECT col_a, col_b, col_c FROM some_table;
FETCH my_cursor INTO v_col1, v_col2, v_col3; -- Correct number of variables

5

Save and activate the modified SQLScript. Test the application or program that triggered the error to confirm it is resolved.

2. Handle Optional or Nullable Columns medium

Use appropriate variable types and handle potential NULL values when columns might not always be present or populated.

1

As in Solution 1, identify the problematic `FETCH` statement and its corresponding cursor `SELECT` statement.

2

Analyze the `SELECT` statement for columns that are nullable or might not always return a value. This can occur with `LEFT JOIN`s or optional fields.

CURSOR my_cursor IS
  SELECT t1.field_a, t2.field_b
  FROM table1 t1
  LEFT JOIN table2 t2 ON t1.id = t2.id;

3

Ensure the variables in the `INTO` clause are declared with data types that can accommodate `NULL` values (e.g., using appropriate nullable types or handling `NULL` explicitly). If a column can be `NULL`, the corresponding `INTO` variable should be able to store `NULL` without causing an error.

/* Assuming v_field_b should handle NULLs */
DECLARE v_field_a VARCHAR(50);
DECLARE v_field_b VARCHAR(50) NULL; -- Or appropriate type that supports NULL

FETCH my_cursor INTO v_field_a, v_field_b;

4

If the number of selected columns and INTO variables still mismatches due to optional columns, consider either:
a) Selecting a placeholder value (e.g., `NULL` or a default) for optional columns in the `SELECT` statement if they are not explicitly selected.
b) Adjusting the `INTO` list to match the actual number of columns being selected, and then handle the potential `NULL` values of those optional columns after the `FETCH` statement.

/* Option a: Selecting NULL if t2.field_b is not available */
CURSOR my_cursor IS
  SELECT t1.field_a, COALESCE(t2.field_b, 'DEFAULT_VALUE') AS field_b
  FROM table1 t1
  LEFT JOIN table2 t2 ON t1.id = t2.id;

FETCH my_cursor INTO v_field_a, v_field_b; -- Now number of variables matches

5

Re-activate the SQLScript and test thoroughly.

3. Review Dynamic SQL Generation advanced

If the SQLScript is dynamically generating the FETCH statement, ensure the generated SQL is syntactically correct and the column/variable counts align.

1

Identify if the `FETCH` statement or the cursor definition is being constructed dynamically (e.g., using string concatenation or `EXECUTE IMMEDIATE`).

2

Log or debug the dynamically generated SQL string before it is executed. This will allow you to inspect the exact `FETCH` statement and the `SELECT` statement of the cursor.

/* Example of logging dynamically generated SQL */
DECLARE lv_sql_stmt VARCHAR(4000);

-- Construct the SQL statement...
lv_sql_stmt := 'FETCH my_dynamic_cursor INTO ' || v_var1 || ', ' || v_var2 || ';';

-- Log the statement for debugging
-- Use a suitable logging mechanism in your SAP S/4HANA environment
-- For example, if using ABAP, you might use 'WRITE' or 'MESSAGE'
-- In pure SQLScript, you might need to write to a debug table or use specific trace functions.

3

Analyze the logged SQL string. Manually count the number of columns in the `SELECT` part of the cursor definition and the number of variables in the `INTO` clause of the `FETCH` statement. Pay close attention to commas and potential missing or extra elements.

/* Example of manually inspecting logged SQL */
-- Logged SQL: 'FETCH my_dynamic_cursor INTO :v_col1, :v_col2, :v_col3;' 
-- Cursor SELECT statement (also needs to be logged/inspected): 'SELECT col_a, col_b, col_c FROM ...'
-- Here, the number of INTO variables (3) matches the number of selected columns (3).

4

Correct the logic that generates the SQL string to ensure that the number of elements in the `INTO` list always matches the number of selected columns in the cursor's `SELECT` statement. This might involve conditional logic to add or omit variables/columns based on runtime conditions.

5

Test the application thoroughly after implementing the fix for the dynamic SQL generation.

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Related Errors

5 related errors

SAP S/4HANA Error 1297: SQLScript Fetch Value Mismatch