Forum Discussion
SQL vc Microsoft Fabric
In SQL, there are several tasks we typically perform, such as analyzing execution plans, creating or updating indexes, identifying and terminating blocking queries, and monitoring resource usage. However, I'm wondering how these tasks are handled within Microsoft Fabric.
Specifically:
How do you check the execution plan and optimize queries without using indexes?
How can you identify which queries are blocking others or consuming excessive resources?
How do you manage session resources, such as killing sessions that use too much?
Is there a way to monitor schema or table capacity usage in Fabric?
Is there an alternative to materialized views for pre-computing and storing query results for performance optimization in Fabric?
How can I replicate the functionality of synonyms in Fabric, or how should I handle object references across different databases or schemas?
What are the recommended alternatives to temporary tables for session-based or short-lived data storage in Fabric?
How can I monitor schema or table-level capacity usage in Fabric to track resource consumption?
In general how easily we can perform daily DBA related Activities in Fabric.
fabric relies on an advanced query engine that auto‑optimizes queries without necessitating manual index creation.
Instead of manually applying missing index recommendations, Fabric’s engine dynamically adjusts execution strategies based on workload patterns, so you typically review performance metrics and query logs rather than a detailed index tuning process.
Capacity Metrics app—to view real‑time resource utilization and built‑in usage and billing reports
the shortcut lets you rapidly create sandbox large tables,
Fabric minimizes the need for manual session management by enforcing policy‑driven controls and automated resource re‑cycling.
In summary Microsoft Fabric shifts many of the traditional DBA responsibilities into an automated, monitoring‑driven model that leverages modern cloud infrastructure and integrated analytics tool
5 Replies
fabric relies on an advanced query engine that auto‑optimizes queries without necessitating manual index creation.
Instead of manually applying missing index recommendations, Fabric’s engine dynamically adjusts execution strategies based on workload patterns, so you typically review performance metrics and query logs rather than a detailed index tuning process.
Capacity Metrics app—to view real‑time resource utilization and built‑in usage and billing reports
the shortcut lets you rapidly create sandbox large tables,
Fabric minimizes the need for manual session management by enforcing policy‑driven controls and automated resource re‑cycling.
In summary Microsoft Fabric shifts many of the traditional DBA responsibilities into an automated, monitoring‑driven model that leverages modern cloud infrastructure and integrated analytics tool
SQL_Data_101, As we haven’t heard back from you, we wanted to kindly follow up to check if the solution provided for your issue worked? or let us know if you need any further assistance here?
nilendraFabric , Thanks for your promt response.
Thanks,
Prashanth Are
MS Fabric community support
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly and give Kudos if helped you resolve your query
Thanks for your response
Hi SQL_Data_101,
As we haven’t heard back from you, we wanted to kindly follow up to check if the solution provided for your issue worked? or let us know if you need any further assistance here?
Thanks,
Prashanth Are
MS Fabric community support
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly and give Kudos if helped you resolve your query
Hi SQL_Data_101,
As we haven’t heard back from you, we wanted to kindly follow up to check if the solution provided for your issue worked? or let us know if you need any further assistance here?
Thanks,
Prashanth Are
MS Fabric community support
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly and give Kudos if helped you resolve your query
