How To Fix D4516 - Number of table scans

D4516 - Overview

• Message type: E = Error

• Message class: D4 - DB2/400 specific messages

• Message number: 516

• Message text: Number of table scans

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.

Smart SAP Assistant

• What is the cause and solution for SAP error message D4516 - Number of table scans ?

  The SAP error message D4516, which indicates "Number of table scans," typically relates to performance issues in the SAP system. This message is often associated with the database performance and can occur when a query or transaction is causing excessive table scans, which can lead to slow performance and increased load on the database.
  
  Cause:
  
  Inefficient Queries: Queries that do not use indexes effectively may result in full table scans instead of index scans.
  Missing Indexes: If the necessary indexes are not created on the database tables, the database engine may resort to scanning the entire table.
  Database Statistics: Outdated or missing database statistics can lead the query optimizer to make poor decisions regarding the execution plan.
  High Volume of Data: Large tables with a significant amount of data can lead to more frequent table scans if not properly indexed.
  Poorly Designed Data Model: A data model that does not normalize or optimize for performance can