#QUERIOUS QUERY ALALYSIS HOW TO#
In part 2, I’ll cover how to optimize your system specifics, such as query optimizations. In the first part of this article, we’re going to go through how you can alter your basic setup for faster PostgreSQL performance. Index for query performance-How adding indexes helps the database to optimize its query plan.Analyze your logs-How to get information out of your system for analysis.Analyze your query performance-How to analyze individual queries.
Once your system is set up, we’ll see how you can analyze and improve your schema:
#QUERIOUS QUERY ALALYSIS TRIAL#
Download your free, two week trial of Retrace today. You might accept a slow-running query in one part of your application that isn’t used so often in order to get a lightning-fast response time on a frequently performed query. This is important because PostgreSQL performance tuning is all about trade-offs.
Then when you’ve got your optimal setup, you can start to monitor your SQL queries with tools like Retrace. Start first by implementing your database and schema. When it comes to PostgreSQL performance tuning an application, one rule applies: don’t optimize early. PostgreSQL optimization is pretty straight-forward, however, there are some things that it needs to know from you, the database admin, in order to run effectively. With every table you add and every query you run, your databases will require maintenance and updates to ensure ideal PostgreSQL optimization. Nice work Carl and Eric.Setting up the database correctly is just the first step in PostgreSQL performance tuning. I think this white paper is a great approach for learning how to tune queries, and the SQL Profiler fanatic within me was thrilled to see Microsoft taking an active interest in helping customers learn how to apply this valuable tool to the MDX and Analysis Services world. The white paper works through running the queries, interpreting the SQL Profiler data, and helping you understand how to solve the performance problems presented by the query in question. The white paper includes many queries that reference an AdventureWorks sample data warehouse-oriented database. But what really caught my eye was the substantial amount of information about how to interpret SQL Profiler events related to MDX and Analysis Services. The white paper has almost 60 pages of high-quality content about how to tune MDX queries. This best practices article provides information about available troubleshooting tools and demonstrates how to use the most common of these tools to identify and resolve MDX query performance bottlenecks."
#QUERIOUS QUERY ALALYSIS WINDOWS#
This requires that you understand how to use Windows and SQL Server 2005 Analysis Services troubleshooting tools. However, Carl Rabeler and Eric Jacobsen from Microsoft's SQL Server Customer Advisory Best Practices Team released a white paper called Identifying and Resolving MDX Query Performance Bottlenecks in SQL Server 2005 Analysis Services that's focused on just that.Īccording to the white paper "To improve the performance of an individual MDX query that is performing poorly, you must first identify the source(s) of the performance bottlenecks in the execution of the query. To date, there hasn't been a lot of content focused on how to use SQL Profiler to performance tune MDX queries. Even now, two years after the release of SQL Server 2005, my sense is that SQL Profiler usage in the OLAP/MDX space is minuscule. However, SQL Profiler's support for MDX and SQL Server Analysis Services wasn't available until SQL Server 2005. SQL Profiler is still a somewhat underutilized tool, but over the years, a growing amount of literature and best practices have been published so that DBA's now have a fighting chance of using SQL Profiler effectively for relational engine analysis. I've always felt that SQL Profiler-and the underlying SQL Trace technology-is the single most valuable tool in a DBA's arsenal for identifying most performance problems. I've been evangelizing the use of SQL Profiler to define and identify SQL Server performance problems since the tool was first released with SQL Server 7.0.
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