By Benjamin Nevarez
- Covers SQL Server instance-configuration for optimum performance
- Helps in imposing SQL Server in-memory technologies
- Provides tips towards tracking and ongoing diagnostics
- Understand SQL Server's database engine and the way it approaches queries
- Configure cases in help of high-throughput applications
Provide constant reaction occasions to various user numbers and question volumes
- Record functionality baselines and computer screen SQL Server cases opposed to them
- Troubleshot and fasten functionality problems
Design databases for high-throughput functions with specialise in performance
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Additional info for High Performance SQL Server: The Go Faster Book
As shown in the memory grants section later, incorrect estimation of the required memory can lead to performance problems. Joins A join is an operation that combines records from two tables based on some common information that usually is one or more columns defined as a join predicate. Since a join processes only two tables at a time, a query requesting data from n tables must be executed as a sequence of n – 1 joins. SQL Server uses three physical join operators to implement logical joins: nested loops join, merge join, and hash join.
DROP EVENT SESSION waits ON SERVER DROP TABLE #waits In this exercise, we filtered on session ID, but you can filter on some other fields as well. An example is shown in the next section, which discusses the system_health session and which default code filters out by wait type and duration. system_health Extended Event Session The system_health session is an extended event session that automatically collects system data that can be used to troubleshoot performance problems. It is configured by default on every SQL Server installation and it starts when the instance starts, running all the time.
The main difference with the distinct sort operator is that it both removes duplicates and sorts its input if no index is available. A query using the DISTINCT keyword can be rewritten as using the GROUP BY clause and they will generate the same plan. We have seen so far that there might be operators that require the data to be already ordered. This is the case of the stream aggregate and also the case of the merge join, which we will see next. The query optimizer may employ an existing index, or it may explicitly introduce a sort operator to provide sorted data.