Why is running a query on SQL Azure so much slower?

Question

I created a trial account on Azure, and I deployed my database from SmarterAsp.

When I run a pivot query on SmarterAsp\MyDatabase, the results appeared in 2 seconds.

However, running the same query on Azure\MyDatabase took 94 seconds.

I use the SQL Server 2014 Management Studio (trial) to connect to the servers and run query.

Is this difference of speed because my account is a trial account?

Some related info to my question

the query is:

ALTER procedure [dbo].[Pivot_Per_Day]
@iyear int,
@imonth int,
@iddepartment int

as

declare @columnName Nvarchar(max) = ''
declare @sql Nvarchar(max) =''

select @columnName += quotename(iDay) + ','
from (
        Select day(idate) as iDay
        from kpivalues where year(idate)=@iyear and month(idate)=@imonth
        group by idate
        )x

set @columnName=left(@columnName,len(@columnName)-1)

set @sql ='


Select * from (
select kpiname, target, ivalues, convert(decimal(18,2),day(idate)) as iDay   

from kpi

inner join kpivalues on kpivalues.idkpi=kpi.idkpi

inner join kpitarget on kpitarget.idkpi=kpi.idkpi

inner join departmentbscs on departmentbscs.idkpi=kpi.idkpi

where iddepartment='+convert(nvarchar(max),@iddepartment)+'

group by kpiname,target, ivalues,idate)x

pivot
(
     avg(ivalues)
    for iDay in (' + @columnName + ')
) p'

execute sp_executesql @sql

Running this query on 3 different servers gave me different results in terms of Elapsed time till my pivot table appear on the screen:

Azure - Elapsed time = 100.165 sec

Smarterasp.net - Elapsed time = 2.449 sec

LocalServer - Elapsed time = 1.716 sec

Regarding my trial account on Azure, I made it with the main goal to check if I will have a better speed than Smarter when running stored procedure like the above one. I choose for my database Service Tier - Basic, Performance level -Basic(5DTUs) and Max. Size 2GB.

My database has 16 tables, 1 table has 145284 rows, and the database size is 11mb. Its a test database for my app.

My questions are:

1. What can I do, to optimize this query (sp)?
2. Is Azure recommended for small databases (100mb-1Gb)? I mean performance vs. cost!

Conclusions based on your inputs:

• I made suggested changes to the query and the performance was improved with more than 50% - Thank you Remus
• I tested my query on Azure S2 and the Elapsed time for updated query was 11 seconds.

• I tested again my query on P1 and the Elapsed time was 0.5 seconds :)

• the same updated query on SmarterASP had Elapsed time 0.8 seconds.

Now its clear for me what are the tiers in Azure and how important is to have a very good query (I even understood what is an Index and his advantage/disadvantage)

Thank you all, Lucian

Answer 1

This is first and foremost a question of performance. You are dealing with a poorly performing code on your part and you must identify the bottleneck and address it. I'm talking about the bad 2 seconds performance now. Follow the guidelines at How to analyse SQL Server performance. Once you get this query to execute locally acceptable for a web app (less than 5 ms) then you can ask the question of porting it to Azure SQL DB. Right now your trial account is only highlighting the existing inefficiencies.

After update

...
@iddepartment int
...
iddepartment='+convert(nvarchar(max),@iddepartment)+'
...

so what is it? is the iddepartment column an int or an nvarchar? And why use (max)?

Here is what you should do:

• parameterize @iddepartment in the inner dynamic SQL
• stop doing nvarchar(max) conversion. Make the iddepartment and @iddertment types match
• ensure indexes on iddepartment and all idkpis

Here is how to parameterize the inner SQL:

set @sql =N'
Select * from (
select kpiname, target, ivalues, convert(decimal(18,2),day(idate)) as iDay   
from kpi
inner join kpivalues on kpivalues.idkpi=kpi.idkpi
inner join kpitarget on kpitarget.idkpi=kpi.idkpi
inner join departmentbscs on departmentbscs.idkpi=kpi.idkpi
where iddepartment=@iddepartment
group by kpiname,target, ivalues,idate)x
pivot
(
     avg(ivalues)
    for iDay in (' +@columnName + N')
) p'

execute sp_executesql @sql, N'@iddepartment INT', @iddepartment;

The covering indexes is, by far, the most important fix. That obviously requires more info than is here present. Read Designing Indexes including all sub-chapters.

As a more general comment: this sort of queries befit columnstores more than rowstore, although I reckon the data size is, basically, tiny. Azure SQL DB supports updateable clustered columnstore indexes, you can experiment with it in anticipation of serious data size. They do require Enterprise/Development on the local box, true.