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What is SQL Server batch mode?
Batch mode execution is a query processing method, and the advantage of this query processing method is to handle multiple rows at a time. This approach gains us performance enhancement when a query performs aggregation, sorts, and group-by operations on a large amount of data.
What is SQL Server optimizer?
The SQL Server Query Optimizer is a cost-based optimizer. Each possible execution plan has an associated cost in terms of the amount of computing resources used. The Query Optimizer must analyze the possible plans and choose the one with the lowest estimated cost.
What is batch query?
A Batch Query enables you to request queries with long-running CPU processing times. Typically, these kind of requests raise timeout errors when using the SQL API. In order to avoid timeouts, you can use Batch Queries to create, read and cancel queries.
How are batch processes run in SQL Server?
SQL Server batch processes are usually run from SQL Agent in background. They can take significant time and resources, especially if they are ETL tasks.
Who is responsible for batch work in SQL?
Quite often, the responsibility for creating these tasks belongs entirely to the developer. Dennes demonstrates that DBAs can advise and assist with this type of batch job by bringing their expertise to bear on the problem of reducing their impact on the working system to a minimum.
How to optimize batch process in SQL Server?
Here is the first proof that you would benefit from having the advice of a DBA when you plan the batch process: The DBA will help to predict the impact of the batch import of data on the size of your data and log files and, if necessary, correct the growth settings. The new CREATE DATABASE instruction for the test system will be like this:
What happens to data file after batch execution?
The first thing to notice is that the size of both the data file and log file has increased after the execution of the batch, the data file much more than the log file. The database has auto-growth on and the amount of growth was determined by the database auto-growth configuration.