PostgreSQL Query Performance Monitoring for the Absolute Beginner
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You may know that your database is slow, or, you may be told that there are performance problems in the database. However, how do you know where the performance problems are? Which queries are running the slowest? Why are they running slow? This session will take you through the fundamental tools that are built right into PostgreSQL that can help you answer all these questions. We'll start with using queries against the Cumulative Statistics System. We'll begin an exploration of explain plans. Setup and guidance for how all these tools work will be provided along the way. You can finally know which queries are slow, and why they are slow.
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Using Query Store to Understand and Control Query PerformanceGrant Fritchey Understanding which queries are causing the most difficulty in your systems can be a challenge. Then, fixing those problematic queries is yet another challenge. The Query Store, running in SQL Server and Azure SQL Database, can help you identify problematic queries, and it can help you fix their performance. This session will show you the various data points that Query Store collects that will help you identify the queries that are behaving badly. In addition, this session will show you the different mechanisms within Query Store that can help you fix poorly performing queries. We'll cover Query Store functionality from SQL Server 2016 through to the new stuff in SQL Server 2022. Along the way we'll cover various settings that help you control how Query Store behaves. Query Store is something you can put to work immediately in your own environments that will help you improve performance right away.
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However, it is possible to define a core set of processes that will help to enable your ability to assist your business, or government agency, in meeting these compliance requirements. This session will walk you through the 10 steps you need to implement in order to move your organization towards full compliance with any, or all, of the regulations we all now face. From identifying where your data lives to monitoring for compliance and all the steps in between, you can meet this challenge.
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DevOps for the DBA
DevOps for the DBAGrant Fritchey Moving from manual processes for development and deployment to a more automated approach requires a great deal of work and knowledge. In this all day seminar we will go through the steps to help you along this journey.
We will start with understanding how source control works and end with automated deployments across environments
You’ll learn about processes and tools that not only make it easier and faster to move database changes, but add protection to your production information.
We will discuss tools, process and the fundamental changes in culture necessary to take your database development and deployment into a high functioning DevOps team.
SQL Injection: How It Works, How to Stop It
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Privacy and Protection in the World of Database DevOpsGrant Fritchey Ensuring the ongoing protection of personally identifiable information is mandatory in today's business, helping you to guard against data breaches and comply with the GDPR and other compliance requirements. In a climate where cyberattacks are all too frequent and data is spread across a growing number of different environments, the challenge of protecting your data can seem daunting.
This session will address the implications of the GDPR on database management and demonstrate a privacy-first approach to controlling and protecting data as it changes and moves through your SQL Server estate. As well as offering guidance for assessing your data estate for GDPR readiness, this session will include some great tips for building data protection and privacy into your development processes, and dispel the myth that database DevOps and compliance can't go hand-in-hand.
With the right preparation, you can build compliance into your processes, keep sensitive data safe and deliver value quickly to your end users.
SQL Server Tools for Query Tuning
SQL Server Tools for Query TuningGrant Fritchey This document discusses various SQL Server tools for query tuning. It begins by outlining the goals of understanding available native tools, applying the right tools for situations, and learning how to use the tools. The document then covers tools for identifying issues, investigating queries, modifying queries, and measuring performance. These include extended events, Query Store, dynamic management views, execution plans, and automation features. It provides examples of how each tool can be used and concludes with documentation resources.
Extending DevOps to SQL Server
Extending DevOps to SQL ServerGrant Fritchey The document discusses extending DevOps practices to SQL Server databases. It defines DevOps as representing a change in IT culture that focuses on rapid delivery through agile practices, collaboration between operations and development teams, and use of automation tools. The document outlines DevOps practices for databases including developing database code alongside application code, testing in isolation, source control, and shifting validation and testing earlier in the development cycle. It emphasizes automating provisioning, monitoring throughout the development lifecycle, and balancing speed with production protection.
Introducing Azure SQL Data Warehouse
Introducing Azure SQL Data WarehouseGrant Fritchey This document provides an introduction to Azure SQL Data Warehouse. It discusses the architecture of ASDW including how it is built on Azure SQL Database and Analytics Platform System (APS). It covers various topics like database design, querying, data loading, tooling, and maintenance for ASDW. The goals are to understand the basic infrastructure, learn design/querying/migration methods, and investigate available tooling for automation and monitoring of ASDW.
Introducing Azure Databases
Introducing Azure DatabasesGrant Fritchey This document discusses various database options available on Azure, including SQL Database, SQL Data Warehouse, DocumentDB, MongoDB, and Redis Cache. It explores how to set up an Azure SQL database and DocumentDB database, including configuring firewall settings. It also covers restoring databases, using elastic pools, querying data, monitoring performance, and maintaining databases using tools like Dynamic Management Views and Powershell. The goal is to understand Azure database options and how to control, monitor, and maintain databases on Azure.
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PostgreSQL Query Performance Monitoring for the Absolute Beginner
- 2. DevOps Advocate Microsoft PostgreSQL MVP AWS Community Builder @gfritchey [email protected] scarydba.com /in/gfritchey
- 3. • Understand the importance of metrics to drive tuning • Learn what kinds of metrics are available within PostgreSQL • Explore how metrics are gathered and applied within PostgreSQL
- 4. • It’s the code • Except when it’s the index • Unless it’s statistics • Or it could be the structure • But it’s probably the code
- 5. • Knowledge-based decision making • An understanding of actual behaviors • No more guessing
- 6. • Logs • Cumulative Statistics System (CSS) • Explain/Execution Plans
- 7. • log_duration • log_min_duration_stateme nt • Auto_explain • Log_statement • Log_line_prefix
- 8. • Query using pg_read_file() • Or, query using file_fdw • Can store logs as CSV or JSON for easier querying • Get pgBadger
- 10. • Hard to read • Requires storage management • Can negatively impact I/O • Production may be locked down • Lack of correlation with other metrics
- 11. • Collection is automatic • Information is aggregated • Metrics are broken down by type • Both real-time and historical information is available
- 12. • pg_stats_statement is disabled by default • Enabling requires cluster restart • Data collection is automated from there • It’s just queries to see the data
- 14. • Aggregation only, no history • Enabling requires cluster restart • Dependent on logs if you need plans
- 15. • Not “data collection” as with the previous two • To get measures, you must execute the query • Fundamental tool for query tuning
- 16. • EXPLAIN: statistics & plan • ANALYZE: + actual measures • BUFFERS: + count of blocks touched
- 18. • To get the measures, you must execute • Except for logs, one at a time • No aggregate behaviors
- 19. • Memory • CPU • I/O • Waits • Others
- 21. • Understand the importance of metrics to drive tuning • Learn what kinds of metrics are available within PostgreSQL • Explore how metrics are gathered and applied within PostgreSQL
- 22. • GitHub - ScaryDBA/PostgreSQ L_PerformanceMonito ringForTheBeginner • My profile presentations
- 24. DevOps Advocate Microsoft PostgreSQL MVP AWS Community Builder @gfritchey [email protected] scarydba.com /in/gfritchey