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SQL Server 清理垃圾:精准删除索引(sqlserver删索引)

SQLServerserver索引SQL 删除 精准 清理 垃圾
2023-06-13 09:18:32 时间

SQL Server is a powerful relational database management system that can be used to store and manage vast amounts of data. It is essential to keep it running optimally so that the data can be accessed and managed quickly and efficiently.

One of the key tasks required to keep SQL Server running both fast and clean is to regularly clean up junk data, particularly in the form of unused, unused, or orphaned indexes. An index is a data structure that is used to quickly locate records in a database. When an index is no longer used, it can add overhead to queries and bloat the data.

It is therefore essential to identify and then remove any indexes that are no longer required. Fortunately, this can be done quite easily and with a minimum of fuss with the help of few SQL commands. Here are the steps:

1.Identify Unused Indexes

The first step is to use the sys.dm_db_unused_indexes and sys.dm_db_index_usage_stats dynamic management stored procedures to identify unused and unused indexes. These stored procedures provide useful information about the usage of all indexes, including which ones are no longer used recently. The results can be put into a temporary table to make it easier to work with the data and then filtered to find the best fit for the purpose of deleting.

2.Drop Unused Indexes

With the unused indexes identified, the next step is to drop them from the table. This can be done by executing a SQL statement that uses the DROP INDEX command. The command will take the name of the index and remove it from the table.

3.Reassess Index Use

The final step is to reassess index use. This can be done by monitoring the use of the tables in the database and by assessing if the deletion of the unused indexes has resulted in a decrease in the amount of time it takes to process queries.

By following the above steps, it is possible to accurately and quickly identify and then delete unused or orphaned indexes in SQL Server. This helps to reduce the amount of space taken up by the data and keep it running optimally.


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