Apply SQL Server index key column best practices By creating the best indexes for these queries, it will put the least amount of strain on your system. It’s important to group workloads for the most heavily used queries in your system. Create indexes for the most heavily and frequently used queries You can capture the workload using SQL profiler, extended events and dynamic management views, and then create indexes to optimize resource-intensive queries. There might be an index that does not satisfy the query optimizer requirement therefore, you should properly analyze your workload and SQL queries (stored procedures, functions, views and ad-hoc queries). Sometimes, developers put one clustered index and a few non-clustered indexes on it without looking for the queries that use those indexes. When creating a new table in your database, don’t just add indexes blindly. Create indexes for your workload requirements You can also leverage columnstore indexes for faster data retrieval in data warehouse queries 2. In this case, you can add more indexes with multiple key columns per index. In OLAP databases on the other hand, you use mostly Select statements to retrieve data for further analytical purposes. Instead, it is recommended to create the minimum number of indexes that can fulfil your indexing requirements. Multiple indexes might have a negative performance impact and put stress on system resources. For OLTP databases, it’s best to create indexes on the Selected column of a table. They use data manipulation language queries (Insert, Update, Delete) along with Select statements for data retrieval and modifications. In an OLTP database, users perform frequent read-write operations, inserting new data and modifying existing data. Indexing requirements vary between online transaction processing (OLTP) and online analytical processing (OLAP) databases. Understand how database design impacts SQL Server indexes Below are some details on each and the critical roles they play. There are several important areas to consider when it comes to SQL Server indexes, as they can have a significant impact on both your performance tuning efforts and overall database performance.

It consists of many different areas such as SQL query optimization, index tuning and system resource tuning, all of which need to be performed correctly in order to successfully retrieve data quickly.

When it comes to database performance, performance tuning is without question, one of the most important and complex functions. In a previous article, we explored SQL Server index requirements and performance considerations.

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