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How To Fix SY315 - Open SQL storage exhausted: & = & + & > &


SY315 - Overview

  • Message type: E = Error

  • Message class: SY - ABAP/4 system messages

  • Message number: 315

  • Message text: Open SQL storage exhausted: & = & + & > &

  • Show details Hide details


  • Self-Explanatory Message

    Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

    To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

    Unfortunately, there isn't any extra information in this error notice.



    What else can you do?

    First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

    Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

    You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.


SY315 - Details

  • The SAP error message SY315, which states "Open SQL storage exhausted: & = & + & > &", typically occurs when the internal storage limit for Open SQL statements in the SAP system has been exceeded. This can happen due to various reasons, such as:
    Causes:
    
    Excessive Data Volume: The query is trying to process a large volume of data, which exceeds the memory allocated for Open SQL operations.
    Complex Queries: The SQL statement may be too complex, involving too many joins or subqueries, leading to high memory consumption.
    Inefficient Indexing: Lack of proper indexing on the database tables can lead to inefficient data retrieval, consuming more resources.
    Memory Configuration: The system may not be configured with sufficient memory for handling large SQL operations.
    
    Solutions:
    
    
    Optimize SQL Queries:
    
    Simplify the SQL query by reducing the number of joins or subqueries.
    Use WHERE clauses to limit the data being processed.
    Consider breaking down complex queries into smaller, more manageable parts.
    
    
    
    Increase Memory

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