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What is OLTP performance?
An OLTP system’s performance is determined by how quickly it can seek those few rows and return them back to the application. OLTP systems are also characterized by high concurrency because many users or applications can be querying the system at the same time.
Which queries are supported by OLTP?
OLTP system is an online database changing system. Therefore, it supports database query such as insert, update, and delete information from the database. Consider a point of sale system of a supermarket, following are the sample queries that this system can process: Retrieving the description of a particular product.
Why is my OLTP database not performing well?
A common problem in OLTP database performance relates to the physical database design. Often, database schemas are designed and shipped without testing at scale (either in load or in data volume). Unfortunately, the performance of a query plan might be acceptable on a small scale but degrade substantially under production-level data volumes.
How does performance tuning work in SQL Server?
Your application might be able to run at a lower cost than an un-tuned equivalent because it can run at a lower compute size. An example that is common in SQL Server and which also applies to Azure SQL Database and Azure SQL Managed Instance is how the query optimizer “sniffs” parameters.
Where can I see the effect of performance tuning?
You can see the effect in the sys.resource_stats table (there is a delay from the time that you execute the test and when the data populates the table). For this example, part 1 executed during the 22:25:00 time window, and part 2 executed at 22:35:00.
How to optimize JSON processing in memory OLTP?
With natively compiled JSON CHECK constraints, you can ensure that JSON text stored in your memory-optimized tables is properly formatted. The following example creates a Product table with a JSON column Tags.