Todo sobre SQL Server: Optimización de consultas en SQL Azure

Si desea optimizar consultas en SQL Azure, el siguiente artículo provee guías generales de cómo utilizar los Dynamic Management Views que están disponibles en SQL Azure, y cómo éstas pueden ser utilizadas para optimizar las consultas o para detectar las consultas con bajo rendimiento.

http://www.microsoft.com/downloads/details.aspx?FamilyID=0CEB6317-0E52-4A25-8AF2-2702C9C21358&displayLang=en

Las siguientes son una serie de consultas sobre rendimiento en SQL Azure:

-- IDentificar las recompilaciones excesivas

select top 25 
    sql_text.text, 
    sql_handle, 
    plan_generation_num, 
    execution_count, 
    dbid, 
    objectid  
from  
    sys.dm_exec_query_stats a 
    cross apply sys.dm_exec_sql_text(sql_handle) as sql_text 
where  
    plan_generation_num >1 
order by plan_generation_num desc

-- Planes de ejecución ineficientes:
select  
    highest_cpu_queries.plan_handle,  
    highest_cpu_queries.total_worker_time, 
    q.dbid, 
    q.objectid, 
    q.number, 
    q.encrypted, 
    q.[text] 
from  
    (select top 50  
        qs.plan_handle,  
        qs.total_worker_time 
    from  
        sys.dm_exec_query_stats qs 
    order by qs.total_worker_time desc) as highest_cpu_queries 
    cross apply sys.dm_exec_sql_text(plan_handle) as q 
order by highest_cpu_queries.total_worker_time desc

-- Identificar cuellos de botella de I/O

select top 25  
    (total_logical_reads/execution_count) as avg_logical_reads, 
    (total_logical_writes/execution_count) as avg_logical_writes, 
    (total_physical_reads/execution_count) as avg_phys_reads, 
     Execution_count,  
    statement_start_offset as stmt_start_offset,  
    sql_handle,  
    plan_handle 
from sys.dm_exec_query_stats   
order by  
 (total_logical_reads + total_logical_writes) Desc