Number Of Reads In Profiler

Jul 27, 2007

Hi,

Can any of can explain, what the "Reads" column in Profiler exactly mean ? I'm not comfortable with the explanation given in BOL.

"The number of read operations on the logical disk that are performed by the server on behalf of the event. These read operations include all reads from tables and buffers during the statement's execution"

For the same procedure with same parameters, if the server is not loaded much, the Reads are in a few hundreds, but when there are more than 1000 concurrent users, why it is going to millions ? What other parameters affecting this reads ? And how can I reduce it ?

Environment: SQL Server 2005 64-bit Enterprise Edition on Windows Server 2003 R2 Server x64 Enterprise Edition SP2

Thanks in Advance.

Regards

Babu

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Number Of Reads In Profiler Is Not The Same When Running The Same SP On Different PCs

Apr 17, 2007

I'm running the same query on two different PCs and tracing results in Profiler on my PC. When executing the query on PC1 - the total number of reads is 200000. When executing the same query on PC2 - the toal number of reads is 13000. It is almost 15 times more reads when executing query on PC2. The executed query is same on PC1 and PC2. Any reason for this?

I'm trying to analyse that query and reduce the number of logical reads as it's is too high but then I get completly different result on different PC.

Thanks.

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Apr 17, 2007

I'm using an application that produce 48000000 reads for one stored procedure and 170 seconds to complete. The same procedure when executed in SQL Analyzer takes only one seconds and 10000 reads.

What is happening here? Where should I look to solve this problem?

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Jul 23, 2005

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also what CPU and Duration is considered high and indicating a poor performing query.

I am using SQL Server 2005. Thanks

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Is the SQL Server Profiler Reads Column Incorrect For Parallel Plans?

I often use profiler as one tool to identify bad plans. The reads column gives me a good indication of excessive IO to dig into and correct if necessary. I often use it with Showplan so I can see what a query does, replicate it and fix it.

However I have just lost some faith in it. I am looking at a poorly performing query joining five tables. A parallel plan has been generated and one table is being scanned (in parallel) due to a missing index. This table had in excess of 4 million rows in it. The rest hitd indexes well. However the entire query generates ONLY 12 READS.

Once corrected, a single processor plan is used. This looks really efficient and uses 120 reads. That looks the right figure to me.

Does the profiler only display one thread of a parallel plan perhaps? Or something else?

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Aug 19, 2015

I often use profiler as one tool to identify bad plans. The reads column gives me a good indication of excessive IO to dig into and correct if necessary. I often use it with Showplan so I can see what a query does, replicate it and fix it.

However I have just lost some faith in it. I am looking at a poorly performing query joining five tables. A parallel plan has been generated and one table is being scanned (in parallel) due to a missing index. This table had in excess of 4 million rows in it. The rest hitd indexes well. However the entire query generates ONLY 12 READS.

Once corrected, a single processor plan is used. This looks really efficient and uses 120 reads. That looks the right figure to me.

Clearly 12 reads is wrong. Does the profiler only display one thread of a parallel plan perhaps? Or something else?

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Nov 30, 2006

I've been looking around for some kind of known issue or something, but can't find anything. Here's what I'm experiencing:

I have a table with about 50,000 rows. I open several connections and use a command to ExecuteResultSet against each command, with CommandType.TableDirect, CommandText set to the name of the table, and IndexName set to various indexes. In the end, I have several SqlCeResultSet instances which are then maintained for the life of the AppDomain.

In a loop, I call SqlCeResultSet.Read() on one of the instances, and if it returns false, I call SqlCeResultSet.ReadFirst() - essentially creating a circular pass through the result set.

In a Visual Studio debug session, this approach goes swimmingly for a short time, and then after a successful Read(), I'm pegged with an InvalidOperationException (text: "No data exists for the row/column") for a column which was succesfully read on the previous Read(). If, in the immediate window, I call SqlCeResultSet.Read() again on the result set instance, the Get___ methods work as they had been in the previous reads.

It seems like the internal state of the ResultSet is getting corrupted somehow, but it is opaque to me. Any insights on why this suddenly throws this exception?

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I am writing a performance baseline test.

The first test writes 5000000 rows in one table. I realise this is not representative OLTP behaviour, but it worked me to start interpreting performance counters and to test several setups to be discussed with our server, storage and network administrators. This way we have been able to compare the results of different hard disks, Lun vs vmdk, 1GB vs 10GB network, AMD vs Intel, etc. This way I can also compare several SQL setups (recovery model, max memory config, ...)

The screenshot shows the results of 2 runs on the same server : Win2012R2, SQL2014, 16GB RAM.

In test 1 min/max server memory was set to 9215MB/10751MB
In test 2 min/max server memory was set to 13311MB/14847MB

The script assures the number of bytes inserted in the nvarchar columns is always the same.

This explains why the number of pages and the number of MB in the table are the same at the end of the 2 tests (column 5 and 6)

Since ca 13GB has to be written, the results of test 1 show the lead time is increasing once more than 10GB has been inserted (column 8 and 9) In addition you can see at that moment

- buffer cache hit ratio is decreasing
- page life expectance becomes "terrible"
- free list stall/sec increases
- lazy writes/sec increases
- readlatency increases (write latency does not)

In test 2 (id 3 in column 1 in the screenshot) those counters are not really influenced (since the 5000000 rows can all be stored in memory).

Now what I do not understand is :

Why the number of pages read (instance level) as well as the number of bytes read and the number of reads (databaselevel) is increasing extremely during run 1.

I expected to see serious impact on write behavior, since SQL server is forced to start flushing dirty pages once memory is filled. Well actually you can see here the number of writes (not the the number of bytes written) starts to increase faster in test 1 after 4000000 rows, but there's no real impact on write latency.

Finally I want to notice

- I'm the only user on this machine
- the table has a clustered index on a identity column
- there are no foreign key constraints
- inserts are executed using a loop, not one big transaction
- to monitor progress and behaviour/impact, each 10.000 loops the counters are stored using dmv queries

So I wonder why SQL Server starts to execute so many reads in test 1.

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Mar 25, 2008

Hi!
I was assigned to solve performance problems for an application. I fired up Sql Server profiler and started a trace. Downloaded Sql Server Trace Analyzer. It's a trial version so it's very limited. What I found is that one stored procedure generates almost 400 000 reads everytime it's used and it's used everytime the user wants to see his orders. I've tried to translate the t-sql to english from swedish, it looks something like this:

select top 100
o.orderid,
o.name,
o.latestdeldate,
os.name as OrderStatus,
os.orderstatusID,
p.placeID,
p.name as place,
p.address,
p.city,
a.name as worktype,
noOfActions=(select count(*) from actions a where a.order_orderid=o.orderid),
noOfServiceObjects = (select count(*) from Serviceobject s, Actions a where s.Place_PlaceID = o.Place_PlaceID and a.order_orderid = o.orderid and a.Serviceobject_serviceobjectid = s.serviceobjectid),
...
...
...

It has 8 select count(*) in the select statement then in the where statement it has 2 more select count(*).

I know it's very difficult for you to come up with a solution but do you know a better way than to use select count(*) everywhere? The count is used for to show different status flags on the website.

/Magnus

Jesus saves. But Gretzky slaps in the rebound.

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server: QAT on clustering server ----> 23 seconds
----------------------------------------------------
SS 2000 developer edition SP4
win NT 5.2 (3790) SP4
MeM 7935 MB
processors 4
root directory C:program files...
use a fixed memeroy size 640 MB

reserve physical memory for sql server
minimum query memory 1024 kb

use all available processors
minimum query plan threshold for considering 5

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server: MILLER ----> 3 seconds
----------------------------------------------------
SS 2000 developer edition no service pack
win NT 5.2 (3790) SP4
MeM 2047 MB
processors 4
root directory f:MSSQL$INAQAT

dynamically configure sql server memory

use all available processors
minimum query plan threshold for considering 5
PROFILER READS = 598

----------------------------------------------------
Making story short. I got an application that hits only 1 database called RECORDS. I'm getting different duration when running an application. 23 and 3 seconds.
Same database, same objects and same application.
SERVER QAT is our staging server, means lots of databases
SERVER MILLER is just a server i just assembled, means just one database (RECORDS).

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=============================
http://www.sqlserverstudy.com

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Hi,

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2.) Do a read before the transaction (for doing the write) is committed (e.g. sqlCommand2.ExecuteReader()).

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Thanks!

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Module Transaction

Sub Main()

Dim exception1 As Exception

Try

' Create/Open Database Connection

Dim sqlConnection1 As New System.Data.SqlClient.SqlConnection("Server=GRB-AB;Database=Transaction;Trusted_Connection=True;")

sqlConnection1.Open()

' Start transaction

Dim sqlTransaction1 As System.Data.SqlClient.SqlTransaction = sqlConnection1.BeginTransaction()

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sqlCommand1.Transaction = sqlTransaction1

sqlCommand1.ExecuteNonQuery()

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'

' Do reading test to test concurrently reading table being written to

'

' Create/Open Database Connection for reading test

Dim sqlConnection2 As New System.Data.SqlClient.SqlConnection("Server=GRB-AB;Database=Transaction;Trusted_Connection=True;")

sqlConnection2.Open()

Dim sqlCommand2 As New System.Data.SqlClient.SqlCommand("SELECT Id FROM Parent;", sqlConnection2)

sqlCommand2.ExecuteReader()

Dim i As Integer

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i = i + 1

End While

'

' End reading test

'

' Set child record

sqlCommand1 = New System.Data.SqlClient.SqlCommand( _

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sqlCommand1.ExecuteScalar()

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sqlTransaction1.Commit()

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sqlTransaction1.Rollback()

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sqlConnection1.Close()

sqlConnection2.Close()

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exception1 = ex

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