>>Each time it encounters a new query?
Let's define new query:
SELECT * FROM STUDENT WHERE STUDENT_ID = #id#
That's one query, regardless of what parameter you use for ?. In iBATIS, this is represented as:
But if you have any dynamic parts to the SQL or any $substitutions$, then you are potentially creating a new query.
Regardless, there is NOTHING iBATIS does that should take a minute or longer, especially after initial runs.
You'll need to provide us with a lot more detail and do some of your own profiling to test out your situation properly.
First of all, DO NOT compare iBATIS with queries run from Query Analyzer....that's ridiculous. You've eliminated more than iBATIS in that scenario, you've also eliminated the network, JDBC, the driver and all of your own Java code.
My first questions would be: where and when do you build your SqlMapClient instance? how often are you connecting? which datasource are you using? do you have any dynamic SQL? are you using maps or beans? are you using lazy loading, join fetching, complex colum mapping via select="" (N+1 selects problem)?
Performance problems are hard to diagnose properly. Can you give us any more information?
Clinton
On 5/23/05, Barnett, Brian W. <[EMAIL PROTECTED]> wrote:
When you say iBatis is doing way more than just running SQL, when does it do
*way more*? Each time it encounters a new query? Just the first query it
processes after startup? Is the *way more* documented somewhere?
The SQL I run in Query Analyzer is exactly the same. I pulled it from the
logging, which I turned off after your suggestion, but did not see a
noticeable difference.
-----Original Message-----
From: Nathan Maves [mailto: [EMAIL PROTECTED]]
Sent: Monday, May 23, 2005 11:19 AM
To: ibatis-user-java@incubator.apache.org
Subject: Re: Query performs differently in SQL Query Analyzer
This truly sound like a sql problem. Make sure that the sql that is
generated by ibatis is what you run in your analyzer.
On a side note make sure that all logging is turned off for your
application. This is a huge performance hit if it is turned on for
any part of your app.
Nathan
On May 23, 2005, at 10:53 AM, Barnett, Brian W. wrote:
> Yes, I did notice that subsequent times the exact same query performed
> better. The problem is that in our app, a teacher is presented with
> a list
> of students in her class. She wants to run a report on each one.
> Clicking on
> a student executes the query below but with a different student id.
>
> It takes over a minute each time she selects a new student. Is this
> because
> the query is not identical each time? It really does me no good that
> subsequent times the query runs better, because the teacher doesn't
> need to
> run the same student more than once.
>
> Suggestions?
>
> -----Original Message-----
> From: Nathan Maves [mailto:[EMAIL PROTECTED]]
> Sent: Monday, May 23, 2005 10:59 AM
> To: ibatis-user-java@incubator.apache.org
> Subject: Re: Query performs differently in SQL Query Analyzer
>
>
> I think this needs a FAQ :)
>
> This has been cover quite a few times.
>
> iBatis is doing way more then just running sql. Make sure that to
> truly test the performance of iBatis that you run the query multiple
> times. The initial run is creating many object and sets everything
> up. Check the speed of the second and third runs to see more accurate
> results.
>
> Nathan
>
> On May 23, 2005, at 10:13 AM, Barnett, Brian W. wrote:
>
>
>> I have a query that returns in 3 or 4 seconds when I run it in
>> Microsoft SQL Query Analyzer but takes over a minute to return when
>> run through iBATIS.
>> Can anyone give me some clues as to what I should check?
>>
>> Here is the SQL Map stuff:
>>
>> <resultMap id="student_profile_combined_result"
>> class="java.util.HashMap">
>> <result property="abbrev" column="abbrev"
>> nullValue="null_string"/>
>> <result property="session" column="session_name"
>> nullValue="null_string"/>
>> <result property="display" column="display"
>> nullValue="null_string"/>
>> <result property="dateTested" column="dateTested"
>> nullValue="null_string"/>
>> <result property="proficiencyLevel"
>> column="proficiency_level"
>> nullValue="null_string"/>
>> <result property="theTestScore" column="the_test_score"
>> nullValue="-999"/>
>> <result property="schoolScoreAvg" column="schoolScoreAvg"
>> nullValue="-999"/>
>> <result property="distScoreAvg" column="distScoreAvg"
>> nullValue="-999"/>
>> <result property="gradeLevelId" column="grade_level_id"
>> nullValue="-999"/>
>> <result property="schoolName" column="school_name"
>> nullValue="null_string"/>
>> <result property="assessmentId" column="assessment_id"
>> nullValue="-999"/>
>> <result property="schoolRawAvg" column="schoolRawAvg"
>> nullValue="-999"/>
>> <result property="distRawAvg" column="distRawAvg"
>> nullValue="-999"/>
>> <result property="lowcut" column="lowcut" nullValue="-999"/>
>> <result property="highcut" column="highcut"
>> nullValue="-999"/>
>> <result property="prof" column="prof" nullValue="-999"/>
>> <result property="ppId" column="pp_id" nullValue="-999"/>
>> <result property="theRawPoints" column="the_raw_points"
>> nullValue="-999"/>
>> <result property="scoreMethodId" column="score_method_id"
>> nullValue="-999"/>
>> <result property="aboveStandard" column="above_standard"
>> nullValue="-999"/>
>> <result property="schoolAboveStandard"
>> column="school_above_standard" nullValue="-999"/>
>> <result property="districtAboveStandard"
>> column="district_above_standard" nullValue="-999"/>
>> <result property="sessionId" column="session_id"
>> nullValue="-999"/>
>> <result property="maxScore" column="maxScore"
>> nullValue="-999"/>
>> <result property="minScore" column="minScore"
>> nullValue="-999"/>
>> </resultMap>
>>
>> <select id="getStudentProfileDataCombined"
>> resultMap="student_profile_combined_result"
>> parameterClass="java.util.HashMap">
>> $sql$
>> </select>
>>
>> Here is the query:
>>
>> SELECT a.abbrev, tsts.session_name , tsts.session_id, y.display,
>> ts.dateTested, ppl.proficiency_level, ts.test_score AS
>> the_test_score,
>> avs.schoolScoreAvg, avd.distScoreAvg, gr.grade_level_id,
>> sc.school_name,
>> a.assessment_id, avs.schoolRawAvg, avs.school_above_standard,
>> avd.distRawAvg, avd.district_above_standard, pp.lowcut, pp.highcut,
>> pp.prof, pp.pp_id, ts.test_raw_points AS the_raw_points,
>> a.score_method_id,
>> ppl.above_standard, avd.maxScore, avd.minScore
>> FROM assessment a, test_score ts, school sc, grade_level gr,
>> d_avg_test_score avd, s_avg_test_score avs,
>> proficiency_profile_levels ppl,
>> view_pp pp, test_session tsts, test t, school_year y
>> WHERE a.assessment_id = ts.assessment_id and ts.sch_student_id =
>> 13120 AND
>> t.session_id = tsts.session_id AND y.year_id = t.year_id AND
>> a.assessment_id = t.assessment_id AND ts.test_id = t.test_id AND
>> avs.assessment_id = ts.assessment_id AND avs.school_id =
>> ts.school_id AND
>> avs.test_id = ts.test_id AND avs.session_id = t.session_id AND
>> avs.year_id
>> = t.year_id AND avs.grade_level_id = ts.grade_level_id AND
>> avd.assessment_id = ts.assessment_id AND avd.district_id =
>> ts.district_id
>> AND avd.grade_level_id = ts.grade_level_id AND
>> avd.test_id = ts.test_id AND avd.session_id = t.session_id AND
>> avd.year_id
>> = t.year_id AND sc.school_id = ts.school_id AND
>> gr.grade_level_id = ts.grade_level_id AND
>> ppl.proficiency_profile_level_id
>> = pp.ppl_id AND pp.a_id = a.assessment_id AND
>> pp.pp_id = a.primary_prof_profile_id AND ts.grade_level_id =
>> pp.gl_id AND
>> pp.rce_id IS NULL AND t.session_id = pp.s_id AND
>> ts.test_score BETWEEN pp.lowcut AND pp.highcut
>> ORDER BY ts.dateTested DESC
>>
>> TIA,
>> Brian Barnett
>>
>> *********************************************************************
>> *
>> ******
>> This email may contain confidential material.
>> If you were not an intended recipient,
>> Please notify the sender and delete all copies.
>> We may monitor email to and from our network.
>> *********************************************************************
>> *
>> ******
>>
>>
>
> **********************************************************************
> ******
> This email may contain confidential material.
> If you were not an intended recipient,
> Please notify the sender and delete all copies.
> We may monitor email to and from our network.
> **********************************************************************
> ******
>
****************************************************************************
This email may contain confidential material.
If you were not an intended recipient,
Please notify the sender and delete all copies.
We may monitor email to and from our network.
****************************************************************************