Titlebook: Pro SQL Server 2019 Wait Statistics; A Practical Guide to Enrico van de Laar Book 20192nd edition Enrico van de Laar 2019 Troubleshooting P

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Book 20192nd editions are running slowly. Measure the amount of time consumed by each bottleneck so that you can focus attention on making the largest improvements first. This edition is updated to cover analysis of wait statistics inside Query Store, the CXCONSUMER wait event, and to be current with SQL Server 2019. W

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The Query Storeuery Store is often marketed as the “flightrecorder” of SQL Server in that it gives insights into when queries are being executed, how well they performed, and what execution plan was used during execution of the query. While the Query Store did not initially expose wait statistics that were encount

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CPU-Related Wait Typesrly basis. And while the speed of processors is hitting a ceiling, the number of cores manufacturers manage to build inside their processors has only grown. At the time of writing this book, you can buy a single processor with 24 cores inside to power your system. Processors are also one of the more

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IO-Related Wait Types memory, or network components of your system. One could argue that the majority of wait types will fit this category, and that is probably right, but to prevent this chapter from covering 90% of all the wait types in this book, I had to choose carefully. I consider the wait types in this chapter to

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Lock-Related Wait Typestabase model, and as such uses locking when data is accessed. Even though we frequently relate locking to performance problems, it plays a vital role in making sure your data is reliable during concurrent workloads. The way SQL Server, or any other RDBMS for that matter, takes care of this data reli

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High-Availability and Disaster-Recovery Wait Types your database is replicated to another server so as to minimize the chances of losing data. Just like with performing regular database backups to ensure you can revert to a previous state of your database should a crash or data corruption occur, planning and maintaining highly available database en