Facing database performance degradation, how can you optimize without adding downtime?
When your database performance declines, you need solutions that won't interrupt service. Here’s how you can enhance performance seamlessly:
Have any favorite techniques for optimizing databases? Share your insights.
Facing database performance degradation, how can you optimize without adding downtime?
When your database performance declines, you need solutions that won't interrupt service. Here’s how you can enhance performance seamlessly:
Have any favorite techniques for optimizing databases? Share your insights.
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One of the best reports for database analysis is ADDM. This report, which is prepared based on the statistics stored in the snapshot format, provides us with an accurate and complete view of all aspects. After identifying the reasons for the slowness and solving them, a comparative ADDM report can be prepared before and after the improvement. If you have any performance issues, such as I/O waits, bad SQLs, bad configuration or any other waits call to me for resolve it????
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In general a database that was in a good state and now facing a performance degradation,can be based on many different reasons, but one of generally reason is SQL changes and changes on query execution plan, So DBA should use monitoring tools such as OEM to discover issue in some layers such as checking statistics updates, preferred indexes, Cosy of query and analysis Execution Plan and compare New Plan hash values with older plans, this can be fixed by DBA to preferred Plan. Another situation can be searched on new changes in storage , Network, internal database layers.
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In case of dealing with large historical datasets, partitioning can make data retrieval and analysis more efficient. Like date range or key value partitioning, we can focus on specific time periods or specific column value, reducing the data volume to process.
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I always try to work on performance problems from the outside in. You have to know where the problems are coming from by reviewing what is running in the database. Figure out if there is something you can do at a "macro" level first before tackling any and every SQL statement you can find. Performance problems are often a result of saturation of one resource or another. It could be the IO Channel, Parallel Servers, memory utilization, etc. In many cases, scheduling is the issue - running backups or index re-builds during a critical business cycle. If you start by looking only at SQL, the job may never end. If performance degrades due to Parallel Downgrades, for example, changing the code might not help. I wish I had more room...
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Stop rebuilding indexes based upon a fragmentation level. That is not recommended by Microsoft and it will likely harm performance.
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