index optimization on dba level

Question

index optimization on dba level

Shambhu Rai 1,411

Hi Expert, How we can do the index optimization on dba level and best practices Help me with an example also how to check high fragmentation level

Olaf Helper 47,616 Reputation points

2024-02-07T07:11:44.0433333+00:00

See https://www.sqlshack.com/how-to-identify-and-resolve-sql-server-index-fragmentation/ https://learn.microsoft.com/en-us/sql/relational-databases/indexes/reorganize-and-rebuild-indexes?view=sql-server-ver16 https://learn.microsoft.com/en-us/sql/relational-databases/system-dynamic-management-views/sys-dm-db-index-physical-stats-transact-sql?view=sql-server-ver16
Shambhu Rai 1,411 Reputation points

2024-02-07T09:13:42.0566667+00:00

example pls
walitalokar 80 Reputation points

2024-02-09T15:24:41.7066667+00:00
DBA-Level Optimization Strategies:

Identifying Underused Indexes: Analyze query plans and utilization statistics to identify indexes that are rarely used or have low selectivity (poorly distinguishing rows). Consider dropping or rebuilding such indexes. Regularly review usage data to adapt indexing as query patterns evolve.

Optimizing Index Size and Coverage: Analyze index size relative to table size. Large indexes might not always improve performance, especially for small tables. Adjust index columns to include only necessary fields for efficient filtering. Consider covering indexes for frequently used queries that involve joins or aggregates.

Choosing Appropriate Index Types: Use B-tree indexes for general-purpose indexing and range queries. Utilize clustered indexes for frequently accessed tables and sort order alignment. Consider columnstore indexes for large datasets and analytical workloads.

Maintaining and Defragmenting Indexes: Periodically rebuild or reorganize indexes based on usage patterns and fragmentation levels. Schedule automated maintenance tasks to avoid performance degradation. Monitor index fragmentation using database-specific tools or queries. Example: Identifying and Dropping Underused Indexes: In SQL Server, use the sys.dm_db_index_usage_stats function to analyze index usage: SELECT ind.name AS index_name, user_seeks, user_scan, total_seeks, total_scan, user_seeks / total_seeks * 100 AS seek_percentage FROM sys.dm_db_index_usage_stats AS ius INNER JOIN sys.indexes AS ind ON ius.object_id = ind.object_id WHERE index_name LIKE 'IX%'; Based on the seek_percentage, consider dropping indexes with low usage (e.g., less than 5%).
Shambhu Rai 1,411 Reputation points

2024-02-13T02:01:37.9666667+00:00
Choosing Appropriate Index Types: Use B-tree indexes for general-purpose indexing and range queries. Utilize clustered indexes for frequently accessed tables and sort order alignment. Consider columnstore indexes for large datasets and analytical workloads.

how to get this

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Olaf Helper 47,616 Reputation points

2024-02-07T07:11:44.0433333+00:00

See https://www.sqlshack.com/how-to-identify-and-resolve-sql-server-index-fragmentation/ https://learn.microsoft.com/en-us/sql/relational-databases/indexes/reorganize-and-rebuild-indexes?view=sql-server-ver16 https://learn.microsoft.com/en-us/sql/relational-databases/system-dynamic-management-views/sys-dm-db-index-physical-stats-transact-sql?view=sql-server-ver16
Shambhu Rai 1,411 Reputation points

2024-02-07T09:13:42.0566667+00:00

example pls
walitalokar 80 Reputation points

2024-02-09T15:24:41.7066667+00:00

DBA-Level Optimization Strategies:

Identifying Underused Indexes: Analyze query plans and utilization statistics to identify indexes that are rarely used or have low selectivity (poorly distinguishing rows). Consider dropping or rebuilding such indexes. Regularly review usage data to adapt indexing as query patterns evolve.

Optimizing Index Size and Coverage: Analyze index size relative to table size. Large indexes might not always improve performance, especially for small tables. Adjust index columns to include only necessary fields for efficient filtering. Consider covering indexes for frequently used queries that involve joins or aggregates.

Choosing Appropriate Index Types: Use B-tree indexes for general-purpose indexing and range queries. Utilize clustered indexes for frequently accessed tables and sort order alignment. Consider columnstore indexes for large datasets and analytical workloads.

Maintaining and Defragmenting Indexes: Periodically rebuild or reorganize indexes based on usage patterns and fragmentation levels. Schedule automated maintenance tasks to avoid performance degradation. Monitor index fragmentation using database-specific tools or queries. Example: Identifying and Dropping Underused Indexes: In SQL Server, use the sys.dm_db_index_usage_stats function to analyze index usage: SELECT ind.name AS index_name, user_seeks, user_scan, total_seeks, total_scan, user_seeks / total_seeks * 100 AS seek_percentage FROM sys.dm_db_index_usage_stats AS ius INNER JOIN sys.indexes AS ind ON ius.object_id = ind.object_id WHERE index_name LIKE 'IX%'; Based on the seek_percentage, consider dropping indexes with low usage (e.g., less than 5%).
Shambhu Rai 1,411 Reputation points

2024-02-13T02:01:37.9666667+00:00

Choosing Appropriate Index Types: Use B-tree indexes for general-purpose indexing and range queries. Utilize clustered indexes for frequently accessed tables and sort order alignment. Consider columnstore indexes for large datasets and analytical workloads.

how to get this

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Answer 3

SSingh-MSFT 16,461 Moderator

Hi Shambhu Rai,

Welcome to Microsoft Q&A forum.

Please refer to the posts shared by Olaf which has suitable examples.

Also, below are the videos illustrating the same which should help:

https://www.youtube.com/watch?v=BIlFTFrEFOI

https://www.youtube.com/watch?v=3h7rJDxvG2w

https://www.youtube.com/watch?v=7ygH7DYO7yw

Thanks

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index optimization on dba level

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