Top 10 Best Practices for Optimizing ServiceNow Query Performance
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This article provides best practices for optimizing query performance in ServiceNow, focusing on common configuration issues that can lead to slow database queries. It outlines ten key strategies, including limiting row counts, using efficient database indexes, and avoiding conditions on dot-walked fields, aimed at enhancing user experience and system performance.
main points
unique insights
practical applications
key topics
key insights
learning outcomes
• main points
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Comprehensive coverage of query optimization techniques
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Practical solutions tailored for ServiceNow users
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Expert insights from the ServiceNow Technical Support Performance team
• unique insights
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The importance of limiting row counts to improve rendering times
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Strategies for using efficient filter conditions to enhance query performance
• practical applications
The article offers actionable tips that can be directly applied by ServiceNow users to improve system performance and user experience.
• key topics
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Query optimization techniques
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Database indexing strategies
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Best practices for ServiceNow performance
• key insights
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Expert recommendations from ServiceNow Technical Support
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Focus on practical application and user experience
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Detailed explanations of complex concepts made accessible
• learning outcomes
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Understand key practices for optimizing ServiceNow queries
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Learn how to implement efficient database indexing
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Gain insights into improving overall system performance
ServiceNow operates primarily as a web API for a database, with nearly every operation requiring multiple queries to return results. This article aims to address common configuration issues that lead to slow query performance and provides best practices for optimizing database interactions.
“ Best Practices for Optimizing Queries
To enhance query performance in ServiceNow, administrators and users must adopt efficient practices. This section outlines ten critical practices that can help mitigate slow transaction issues.
“ Limiting Row Counts for Better Performance
Setting a limit of 20 rows per page is recommended for optimal user experience. Higher row counts can lead to slow rendering times due to the execution of multiple layers of business logic. Administrators can adjust user preferences to enforce this limit.
“ Utilizing Efficient Database Indexes
Database indexes act like phone books, allowing for quicker data retrieval. It's crucial to create indexes that align with how users will query data. Using efficient operators like 'equals' or 'starts with' can significantly improve performance.
“ Adding Filter Conditions to Improve Queries
Adding specific conditions, such as 'active=true', can drastically reduce the number of records processed in queries. This practice is particularly effective in large tables, helping to narrow down results efficiently.
“ Avoiding Dot-Walked Fields in Conditions
Dot-walked fields create implicit JOIN operations, which can slow down queries. Whenever possible, avoid using these fields in conditions to maintain query efficiency.
“ Managing Complex Queries Effectively
Complex queries, especially those involving multiple OR conditions, can strain database performance. Breaking down these queries into simpler components can lead to faster execution and better resource management.
“ Designing Efficient Database Views
When creating database views, include limiting conditions to minimize the size of intermediate result sets. This approach can prevent unnecessary strain on the database.
“ Personalizing List Views for Speed
Users can improve list rendering times by personalizing the columns displayed in list views. Reducing unnecessary columns can significantly enhance performance.
“ Conclusion: Enhancing ServiceNow Performance
By implementing these best practices, ServiceNow users can optimize their query performance, leading to a more efficient and responsive platform. Continuous monitoring and adjustment of these practices are essential for maintaining optimal performance.
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