optmization tecniques.

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optmization tecniques.

Syntek S 0

Wants to check query optimization tecniques.please guide

SELECT FileName, FileDate

FROM BROK.BROK_Staging

ORDER BY FileDate DESC

Join: [https://teams.microsoft.com/meet/44686160893216?p=iDBacftSUDKBlVGWuf](https://teams.microsoft.com/meet/44686160893216?p=iDBacftSUDKBlVGWuf"Meeting join")

Erland Sommarskog 133.1K Reputation points MVP Volunteer Moderator

2026-02-18T21:46:24.23+00:00

Can you be more specific what you want help with?

(I don't know why you put that Teams link there, but expect anyone to join.)
Akhil Gajavelly 1,570 Reputation points Microsoft External Staff Moderator

2026-03-06T01:28:33.5166667+00:00
Hi @Syntek S ,

As the @Erland Sommarskog mentioned, more details are required to provide specific optimization guidance (such as table size, indexes, execution plan, or the exact performance issue). Since the query shared is straightforward, optimization depends on the environment and workload.
General recommendations include:
Ensure an index on FileDate to improve sorting performance.

Review the query execution plan to identify scans or expensive sort operations.

If only recent records are needed, consider adding a WHERE filter to reduce the number of rows processed.

Ensure statistics are up to date so the optimizer can generate an efficient plan.

As there is not provided additional details yet, these are general best-practice suggestions. More specific recommendations can be provided if further information is shared.

Thanks,
Akhil.
Akhil Gajavelly 1,570 Reputation points Microsoft External Staff Moderator

2026-03-11T06:47:45.65+00:00

Hi @Syntek S ,

As the Erland more details would be needed (such as table size, indexes, or execution plan) to provide more specific query optimization guidance.

In the previous response, some general optimization practices were shared, including ensuring an index on FileDate, reviewing the execution plan, and updating statistics.

If you are still facing the issue, please share additional details so the community can assist further.

Thanks,
Akhil.

1 answer

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Erland Sommarskog 133.1K Reputation points MVP Volunteer Moderator

2026-02-18T21:46:24.23+00:00

Can you be more specific what you want help with?

(I don't know why you put that Teams link there, but expect anyone to join.)
Akhil Gajavelly 1,570 Reputation points Microsoft External Staff Moderator

2026-03-06T01:28:33.5166667+00:00

Hi @Syntek S ,

As the @Erland Sommarskog mentioned, more details are required to provide specific optimization guidance (such as table size, indexes, execution plan, or the exact performance issue). Since the query shared is straightforward, optimization depends on the environment and workload.
General recommendations include:
Ensure an index on FileDate to improve sorting performance.

Review the query execution plan to identify scans or expensive sort operations.

If only recent records are needed, consider adding a WHERE filter to reduce the number of rows processed.

Ensure statistics are up to date so the optimizer can generate an efficient plan.

As there is not provided additional details yet, these are general best-practice suggestions. More specific recommendations can be provided if further information is shared.

Thanks,
Akhil.
Akhil Gajavelly 1,570 Reputation points Microsoft External Staff Moderator

2026-03-11T06:47:45.65+00:00

Hi @Syntek S ,

As the Erland more details would be needed (such as table size, indexes, or execution plan) to provide more specific query optimization guidance.

In the previous response, some general optimization practices were shared, including ensuring an index on FileDate, reviewing the execution plan, and updating statistics.

If you are still facing the issue, please share additional details so the community can assist further.

Thanks,
Akhil.

Answer 1

To optimize your SQL query, you can consider the following techniques:

Indexing: Ensure that the columns used in the ORDER BY clause, such as FileDate, are indexed. This can significantly improve the performance of your query by allowing the database to quickly locate and sort the data.
Query Execution Plan: Analyze the query execution plan to understand how SQL Server processes your query. This can help identify any bottlenecks or inefficient operations.
Statistics Maintenance: Keep your statistics up to date. The SQL Server Query Optimizer relies on distribution statistics to make informed decisions about the execution plan. If the statistics are outdated, it may choose a suboptimal plan.
**Avoid SELECT * **: Instead of selecting all columns, specify only the columns you need. In your case, you are already selecting FileName and FileDate, which is good practice.
Use of WHERE Clause: If applicable, filter the data using a WHERE clause to reduce the number of rows processed before sorting. This can enhance performance, especially with large datasets.
Optimize Table Structure: Consider using Liquid Clustering and Z-Order for better data organization if you are working with large tables. This can improve query performance by optimizing how data is stored and accessed.

By implementing these techniques, you can enhance the performance of your SQL queries significantly.

References:

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optmization tecniques.

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