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Performance Tools 1730180178

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0% found this document useful (0 votes)
49 views4 pages

Performance Tools 1730180178

Uploaded by

Srinivas Konga
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Performance tools in SAP ABAP

1.Performance Trace Tool ( T-code : ST05): The transaction code ST05 in SAP is
known as the performance trace tool and it's primarily used for analyzing performance
issues in SAP systems. here are some key uses of ST05

• SQL Trace: Tracks SQL statements executed in the system, helping identify
inefficient queries or database operations that may impact performance.
• RFC Trace: Monitors remote function calls (RFC’s) between SAP systems, which is
useful for debugging and understanding interactions in distributed environments.
• Enqueue Trace: Tracks lock operations to help resolve issues related to data locking
and concurrency control.
• Buffer Trace: show details on buffer usage, helping analyze how data is retrieved
from SAP buffers, which can affect system performance.
• HTTP and Web Service Trace: Useful for tracing HTTP request, such as those from
Odata services or web services calls, making it invaluable for web integration
troubleshooting.

Use Case: By analyzing these traces, SAP developers and administrators can pinpoint
bottlenecks, optimize performance, and improve the overall efficiency of ABAP programs
and the SAP system.

Created by: Sarang Wankhade


https://www.linkedin.com/in/sarang-wankhade/098908157/
2. ABAP Runtime Analysis (T-code: SAT) : The SAT (ABAP runtime analysis)
transaction code is SAP is a powerful tool used for performance analysis and optimization
of ABAP programs. Here’s what makes SAT valuable:

• Performance Analysis: SAT provides a detailed breakdown of program execution


times, allowing you to identify time consuming operations in ABAP code such as
database queries, loops and subroutine calls.
• Memory Usage Tracking: SAT tracks memory consumption during program
execution, helping detect memory-intensive operations that may lead to
performance degradation.
• Code Optimization: By identifying bottlenecks and inefficient code segments SAT
helps developers optimize ABAP code for better performance.
• SQL Trace Integration: SAT integrates SQL performance tracing, which helps
identify slow or inefficient database queries in the program, making it easier to
optimize data retrieval.
• Comparison of Performance Runs: SAT allows you to compare 2 analysis runs
which is helpful in evaluating the impact of code changes on performance.
• Call Hierarchies: It provides a clear view of call hierarchies so you can see the
sequence in which functions, methods, and other components are executed.

Created by: Sarang Wankhade


https://www.linkedin.com/in/sarang-wankhade/098908157/
3.Extended Program Check ( T-code : SLIN) : The extended Program Check in SAP
ABAP is a comprehensive tool used for static code analysis to improve code quality,
reliability, and maintainability. It checks for variety of issues that may not be immediately
obvious but could cause performance problems or functional errors. Here’s the rundown of
what makes the extended program check essential:

• Syntax and Semantic Checks: beyond basic syntax, it performs in-depth checks
on semantic correctness, helping identify logical issues that could lead to runtime
errors.
• Performance Issues: Highlights potential performance bottlenecks, such as
inefficient database access patterns or nested select statements, allowing
developers to address these before they impact the system
• Security Vulnerabilities: Identifies potential security issues, including improper
authorization checks or hardcoded values that could expose sensitive data.
• Code Completeness: Detects missing elements, such as unhandled exceptions,
unused variables and unreachable code blocks, enhancing overall code clarity.
• Compliance with Naming and Style Standards: Insures adherence to ABAP
naming conventions and style guidelines, promoting consistency and making code
easier to read and maintain.
• Data Consistency: Validates data elements consistency, ensuring that data types
and structures match across program components, which prevents potential data
corruption or misinterpretation.
• Modularization Suggestions: Offers recommendations for modularizing code
where appropriate, which improves reusability and readability.

Created by: Sarang Wankhade


https://www.linkedin.com/in/sarang-wankhade/098908157/
Created by: Sarang Wankhade
https://www.linkedin.com/in/sarang-wankhade/098908157/

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