How to Resolve MSSQL Overloads

There are many things that may cause a MSSQL overload, such as a statistic which is out of date, deadlocks, hardware issues, blocking from some larger process, poorly written queries, poor design, or lack of indexing. If you are not aware of the principles for good database performance, there is a great probability that you have a poorly designed database or poorly designed queries.

How to resolve a MSSQL overload?

To resolve a database overload, the database and queries should be optimized. There are a lot of optimization tools available online. You can optimize it using one of these tools or you may optimize the database directly through SQL management clients.

Here is an example of an optimization tool: .

Here is some information about manually optimizing your database: .

How to avoid a MSSQL overload?

There are several possible reason for overloads and poor mssql database performance, here are some things to avoid:

  1. The first is a deadlock. Deadlock occurs when two or more tasks permanently block each other by each task having a lock on a resource which the other tasks are trying to lock.. In this deadlock situation, none of the sessions can continue to execute until one of those sessions releases its locks, so allowing the other session(s) access to the locked resource. Multiple processes persistently blocking each other, in an irresolvable state. This will eventually result in a halt in processing with inside the database engine. For tips on how to avoid deadlocks please visit:
  2. Another issue you want to avoid are poorly written queries. Because SQL is a declarative language, you can write the same query in many forms, each getting the same result but with vastly different execution plans and performance.  Rewriting SQL for easier readability (and maintenance) plus faster performance is an important tuning tool. SQL is very flexible and an equivalent query can be written in many ways with the same result, but with absolutely different readability and response time. For more information on writing queries please visit:
  3. There are also poor query design. You can have a  good database design,  but without frequent recompilation and without other SQL performance killers, poor query design can severely degrade performance of the database . Query performance also depends on data volume and transaction concurrency. Executing the same query on a table with millions of records requires more time that performs the same operation on the same table with only thousands of records. A lot of concurrent transactions can degrade SQL Server performance. The shorter the queue of transactions that wait to be processed, the better performance For more information please visit:

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