For this reason, we need a way out that does not affect the performance of the Delete and Update operations, and it also improves the performance of the analytical queries. However, using columnstore indexes is not well-suited for the OLTP database usage scenarios that are getting high Update and Delete workload because columnstore index usage adds extra overhead to the Delete and Update operations. More efficient CPU usage through the batch mode execution query processing method Reducing the I/O activity of the query due to using columnstore index structure Also, this feature has been using by columnstored indexes for a long time.Ĭolumnstore indexes have been announced with SQL Server 2012, and it offers two main benefits to us. Behind the scene, this performance enhancement uses the batch mode query processing feature for the data, which is stored in row format. The main benefit of this feature is that it improves the performance of analytical queries, and it also reduces the CPU utilization of these types of queries. In this article, we will explain batch mode on rowstore feature, which was announced with SQL Server 2019.
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