Error
Error Code:
1300
SAP S/4HANA Error 1300: SQLScript Fetch Row Mismatch
Description
This error occurs in SQLScript when a `FETCH` operation attempts to retrieve more rows than the target variable or cursor definition can accommodate. It indicates that the actual data returned by a query exceeds the expected or specified limit for the fetch operation, leading to a runtime failure.
Error Message
ERR_SQLSCRIPT_FETCH_MANY_ROWS
Known Causes
4 known causesScalar Variable Overload
A `FETCH` statement is attempting to assign multiple rows to a single scalar variable, which can only hold one value.
Incorrect Cursor Definition
The cursor is defined to fetch a specific number of rows, but the underlying query or `FETCH` logic attempts to retrieve more.
Missing or Invalid Row Limit
The SQL query used by the cursor lacks an appropriate `LIMIT` or `TOP` clause, leading to an excessive number of rows being returned.
Unexpected Data Growth
An increase in the source data volume causes a previously functional `FETCH` operation to return more rows than anticipated by the script design.
Solutions
3 solutions available1. Review SQLScript Logic for Single Row Fetch medium
Ensure SQLScripts designed to fetch a single row are correctly implemented.
1
Identify the SQLScript that is failing. This often occurs within custom ABAP code, CDS views, or HANA stored procedures that are expected to return a single record but are encountering multiple matches.
2
Examine the SELECT statement within the SQLScript. Add a `LIMIT 1` clause or an equivalent to explicitly restrict the result set to a single row. If the application logic requires specific filtering, ensure the WHERE clause is sufficiently precise to return only one record.
SELECT column1, column2 FROM your_table WHERE condition = 'specific_value' LIMIT 1;3
If using ABAP, review the Open SQL statement. Ensure that `SELECT SINGLE` is used when only one record is expected. If `SELECT *` or `SELECT ... UP TO 1 ROWS` is used, verify that the `WHERE` clause guarantees uniqueness for the selection criteria.
SELECT SINGLE field1, field2 INTO wa_structure FROM your_table WHERE key_field = iv_key.4
Test the modified SQLScript or ABAP code in a development or quality assurance environment to confirm that the error is resolved and the intended single row is fetched.
2. Analyze and Refine Data Model for Uniqueness advanced
Address potential data inconsistencies or lack of unique identifiers in the underlying tables.
1
Investigate the table(s) being queried by the failing SQLScript. Identify the columns used in the `WHERE` clause or join conditions.
2
Query the table to find duplicate records based on the filtering criteria that are causing the `ERR_SQLSCRIPT_FETCH_MANY_ROWS` error. For example, if a primary key is expected to be unique but multiple rows match a query using that key, there's a data integrity issue.
SELECT key_column, COUNT(*) FROM your_table GROUP BY key_column HAVING COUNT(*) > 1;3
Determine the root cause of the duplicates. This could be due to application logic errors, incorrect data loading procedures, or missing constraints.
4
Implement appropriate measures to resolve duplicate data. This might involve data cleansing activities, updating application logic to prevent future duplicates, or establishing unique constraints on the table if feasible and appropriate for the business process.
5
Consider adding or enforcing unique constraints (e.g., PRIMARY KEY, UNIQUE INDEX) on the relevant columns in the database to prevent future occurrences of this error.
ALTER TABLE your_table ADD CONSTRAINT unique_constraint_name UNIQUE (column1, column2);3. Optimize CDS View Selectivity medium
Improve the performance and accuracy of CDS views that return single records.
1
Locate the CDS view that is generating the `ERR_SQLSCRIPT_FETCH_MANY_ROWS` error. This is common when CDS views are used in place of traditional ABAP select statements and are expected to return a single record.
2
Analyze the `SELECT` statement within the CDS view. Ensure that the `WHERE` clause is precise enough to return only one record. If the CDS view is intended to be a base for further consumption, and a specific instance is required, consider adding annotations or logic to enforce single-row retrieval at the consumption layer.
define view MySingleRecordView as select from your_table { key field1, field2 } where field1 = 'specific_value';3
If the CDS view itself is designed to be consumed as a single record (e.g., for a specific master data object), ensure that the combination of fields in the `WHERE` clause or the definition of the key fields guarantees uniqueness.
define view MyUniqueEntity as select from your_table { key guid, fieldA, fieldB } where guid = $parameters.inputGuid;4
If the CDS view is too broad and is being filtered later, consider pushing down the filtering logic to the CDS view level to ensure it returns only the expected single row.
5
Reactivate and test the modified CDS view. Verify that queries against it that expect a single row now behave correctly.