SQL Bits 2018 | Best practices for Power BI on implementation and monitoring
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This session is intended to do a deep dive into the Power BI Service and infrastructure to ensure that you are able to monitor your solution before it starts performing or when your users are already complaining.As part of the session i will give advise you on how to address the main pains causing slow performance by answering the following questions: * What are the components of the Power BI Service? - DirectQuery - Live connection - Import * How do you identify a bottleneck? * What should i do to fix performance? * Monitoring - What parts to monitor and why? * What are the report developers doing wrong? - how do i monitor the different parts? * Overview of best practices and considerations for implementations
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SQL Bits 2018 | Best practices for Power BI on implementation and monitoring
- 1. Best practices for Power BI on implementation and monitoring SQL Bits 2018
- 2. Who am I? • Bent Nissen Pedersen, Denmark • Business Analytics Architect, Kapacity • @SQLBent • [email protected] • BI for 10+ years • www.biblog.eu
- 3. Agenda • Monitoring • Bottlenecks • Components • Direct-query • Live Connection • Import • What should i do to fix performance? • What are the report developers doing wrong?
- 4. Three types of monitoring Usage Performance Improvement
- 5. Three types of monitoring Usage Performance Improvement
- 6. Power BI usage Consumption • Reports • Dashboards Events & Activities • Gateway setup • Workspace Creation Usage Performance Improvement
- 7. Demo of usage & events Usage Performance Improvement
- 8. Demo of usage & events ... Logging is disabled per default Usage Performance Improvement
- 9. Three types of monitoring Usage Performance Improvement
- 10. Areas Report Layout On-Premises gateway Analysis Services (On-premises) Azure Analysis Services Network Power BI Premium Usage Performance Improvement
- 11. Layout and reporting Usage Performance Improvement Number of items Interactions Many items
- 12. Usage Performance Improvement Breakdown of Power BI request How queries are handled and executed Send request Process request and construct query Query travel time to data source Query is evaluated and result set is returned Result set travel time Result set processed and HTML is generated HTML travel time to end user Network related Power BI related Data source related
- 13. Usage Performance Improvement Breakdown of Power BI request How queries are handled and executed Send request Process request and construct query Query travel time to data source Query is evaluated and result set is returned Result set travel time Result set processed and HTML is generated HTML travel time to end user Network related Power BI related Data source related
- 14. Usage Performance Improvement Understanding live connections Using the gateway Microsoft Cloud On-premise Datacenter User opens report on PowerBI.com Power BI Enterprise Gateway (PBI EG) collects request to query on-prem SSAS PBI EG connects to SSAS using service account. Connectionstring includes ”[email protected]” Query is executed with required security context 1 6 2 5 4 3 1 3 2 4 6 5 PBI EG relays the result-sset to PBI PBI returns rendered visualizations to end-user
- 15. Usage Performance Improvement Data source latency Direct query through on-premises gateway SSAS MD SQL Profiler xEvents SSAS Tabular DAX Studio SQL Profiler VertiPaqAnalyzer Tabular Editor xEvents SQL SQL Profiler SQL – Column store indexes
- 16. Usage Performance Improvement Microsoft Cloud On-premise Datacenter Schedule triggers update of Power BI file with imported data Power BI Enterprise Gateway (PBI EG) collects request and starts meshup File are loaded, transformed and compressed for each dataset Meshup result is sent to PowerBI backend 2 4 3 1 3 2 4 1 Understanding data import Using the gateway
- 17. Usage Performance Improvement Monitoring What to do about your gateway ? Ressources Monitoring of CPU and memory is recommend to be done using performance counters Above 80% utilization of either memory or CPU usually cause decreased performance Workloads Monitoring the workload should happe using Power BI specific performance counter. Split live query and data import effort to different gateways and change concurrent mesh-up executions Availability Ensure that multiple gateways are setup to support high Availability in a cluster Monitor setup and ensure that at least one gateway is available for each cluster.
- 18. Usage Performance Improvement Microsoft Cloud 1 4 3 2 Understanding live connections Using Azure Analysis services User opens report on PowerBI.com PBI EG connects to SSAS using service account. Connectionstring includes ”[email protected]” Query is executed with required security context and returns data to PBI1 2 4 4 PBI returns rendered visualizations to end-user
- 19. Azure Analysis Services Monitoring Usage Performance Improvement
- 20. Azure Analysis Services Log Metrics • Meshup • Connections • Memory • I/O Usage Performance Improvement Engine • xEvents Service • Start, Stop... • Create gateway ... And setup alerts
- 21. Demo of alerts Usage Performance Improvement
- 22. Usage Performance Improvement Monitoring What to do about your Azure AS? Ressources & workload Use metrics to monitor and alert on situations where ressources are sparse or not avaialble. Scale out or up to support requirements. Availability High availability is not directly possible since no automated sync can be in place between regions or datacenters. An alias can be set up to avoid changes of connections.
- 23. Usage Performance Improvement Network What and how? Mitigate with ExpressRoute Premium or by rethinking architecture Focus first on latency Data Source <-> Power BI One client request can lead to multiple queries Potentially move data source to VM in same Azure region as Power BI Backend cluster Data Source ClientPower BI Data Source ClientPower BI
- 24. Usage Performance Improvement Power BI architecture How queries are handled and executed Requests from one report page Query execution time factors • Model & measure complexity • Tables relations • Security • Number of users
- 25. Demo of events Usage Performance Improvement
- 26. What is Power BI Premium? Usage Performance Improvement Power BI PremiumPower BI Cluster PBI Tentant 1 PBI Tentant 2 PBI Tentant 3 PBI Tentant 4 Personal Workspace Workspace Workspace Workspace Workspace Personal Workspace Personal Workspace Workspace Workspace Workspace
- 27. Power BI Premium Log Metrics Usage Performance Improvement CPU Usage As for tabular models this is used for mashup of data and query execution. Memory Models are loaded into memory and trashed whenever there is not enough memory. Direct Query Limitations apply to number of live connection queries per second. P1 have a combined limit of 30 per second for cloud and on-premises. ... Setup extra capacity
- 28. Three types of monitoring Usage Performance Improvement
- 29. Usage Performance Improvement Power BI in the Enterprise Speed Monitoring and quality surveillance Power BI (Self-service) Exploration Flexibility Power BI (Enterprise) Consolidated business logic Training and support Documentation
- 30. Governance Usage Performance Improvement Include admins Ensure that the super users get use to include administors in the setup Monitor success (and failure) Engage with the owners of the most used reporting content to ensure lifecycle and have it lifted to the enterprise platform. Slow reports might be improved and optimized to reduce performance impact. Gateways Setup, update and monitor gateways for users to utilize new functionality and improved mashup.
- 31. Governance Usage Performance Improvement Layout What not to do; or how you improve Performance You know how to debug and what to look into. 0. Monitoring 1. Gateway load 2. Data source performance 3. Network 4. Layout Improvements Considerations for improving your governance and setup to embrace Power BI.
- 32. Question time
- 33. Ressources • Power BI documentation • Power BI Blog • Power BI Security Whitepaper • Demos.microsoft.com • Power BI Template for Power BI API (Prathy) • Analysis Services Performance whitepaper
- 34. Just like Jimi Hendrix … We love to get feedback Please complete the session feedback forms
- 35. SQLBits - It's all about the community... Please visit Community Corner, we are trying this year to get more people to learn about the SQL Community, equally if you would be happy to visit the community corner we’d really appreciate it.
Editor's Notes
- #9: Logging is not considers as GDPR vialations since it is metadata
- #10: How many people are using Power BI towards on-premises source? Towards Azure Analysis Services? Mostly import?
- #12: Success -> high usage numbers Share the message and details of used reports Premium support to reduce cost and remove old unused content
- #15: How many are using the personal gateway ?
- #18: (Scalpe up or out)
- #23: (Scalpe up or out)
- #24: (Scalpe up or out)
- #29: Our tests showed latency down from 320 ms to 120 ms India -> North Europe Customer was satisfied with performance without ExpressRoute, but will consider it in the future In other words – look for slow performing components same way you are used to. Latency is for roundtrip We have 2 roundtrips per refresh
- #31: Business
- #32: Success -> high usage numbers Share the message and details of used reports Premium support to reduce cost and remove old unused content
- #33: Success -> high usage numbers Share the message and details of used reports
- #35: ½