Unlocking KQL: Learning from all the queries

Intro: Building on the basics covered in our previous post, we'll dive into more complex queries, real-world scenarios, and optimization techniques to enhance your data analysis skills in Azure Application Insights. Introduction to KQL and Basic Commands Bala Madhusoodhanan ・ Jan 28 #appinsights #azure #kql Some more Commands KQL offers a range of advanced commands that allow for more complex data manipulation and analysis. Here are some of the key commands: take: Limits the number of rows returned. customEvents | take 10 Use Case: Quickly previewing a small subset of data. sort: Orders rows based on a specified column. customEvents | where cloud_RoleInstance == "Chatbot instance name" | take 50 | sort by timestamp desc Use Case: Sorting requests by the most recent timestamp. Optimizing Queries Tips for Efficient Querying: After numerous trials and errors, and diligently writing KQL queries while adhering to best practices, I've found that structuring the query as outlined above yields the most efficient and effective results. This approach ensures optimal performance by filtering data early, minimizing unnecessary data movement, and leveraging appropriate operators. By following these guidelines, you can achieve more accurate and faster query execution, making your data analysis in Azure Application Insights both powerful and streamlined.

Feb 17, 2025 - 09:24

Unlocking KQL: Learning from all the queries

Intro:
Building on the basics covered in our previous post, we'll dive into more complex queries, real-world scenarios, and optimization techniques to enhance your data analysis skills in Azure Application Insights.

Introduction to KQL and Basic Commands

Bala Madhusoodhanan ・ Jan 28

#appinsights #azure #kql

Some more Commands
KQL offers a range of advanced commands that allow for more complex data manipulation and analysis. Here are some of the key commands:

take: Limits the number of rows returned.

customEvents
| take 10

Use Case: Quickly previewing a small subset of data.

sort: Orders rows based on a specified column.

customEvents
| where cloud_RoleInstance == "Chatbot instance name" 
| take 50
| sort by timestamp desc

Use Case: Sorting requests by the most recent timestamp.

Optimizing Queries

Tips for Efficient Querying:

After numerous trials and errors, and diligently writing KQL queries while adhering to best practices, I've found that structuring the query as outlined above yields the most efficient and effective results. This approach ensures optimal performance by filtering data early, minimizing unnecessary data movement, and leveraging appropriate operators. By following these guidelines, you can achieve more accurate and faster query execution, making your data analysis in Azure Application Insights both powerful and streamlined.