GroupingCollection2 with better performance

I created a GroupingCollection2 with better performance (in
comparision with GroupingCollection) by tweaking the
implementation. You can find a sample/swc here
http://flexpearls.blogspot.com/2008/06/groupingcollection-with-some-better.html
If you have some free time please test it and let me know if
you find any bugs !
Of-course if you like the performance and would like to use
it in your app, feel free :)

Thanks for your input Grant; it's very helpful
Just to summarize my next steps.
- since a MAC Pro can't handle the new 6G SSDs with SATAIII, I'd have to go with the SSD 3G.
I'll proably get the 115 GB or 240GB model – any thoughts which one I should get
- I'll get an additional hard drive; perhaps: 2.0TB Western Digital 'Caviar BLACK' 7200RPM 6Gb/s HDD 64MB Cache – is this a model you'd recommend
Which one of these should be my boot drive? On the other drive I'll have all my big Photoshop and InDesign job files; applications should be on the boot drive; correct?
- I'll get more RAM. I could return all of my 8 1GB pieces and get 6 x 4GB = 24 GB RAM. Or I can keep 4 of my old and get 4 x 4 GB RAM = 20 GB RAM
I never seen posts were 20 GB RAM was tested. I wonder if it makes a huge difference if I get 20 or 24, since in tests the performance difference between 16 and 24 doesn't seem to be very much. Any thoughts?

Similar Messages

Alternative way to create temporary table with better performace?

Hi guys,
Do you happen to a better alternative way for creating a global temporary table with better performance?
I am creating a table and then using it in a big query but is taking a lot of time.
Thanks for any help you can provide.

I am not very familiar with explains plans, but I believe it is ok.
The first query I had was repeating part of it in every subquery that is why I decided to create the temporary table. I have also tried using the WITH but it seems to take the same amount of time. I also thought of creating indexed but was told that it would work in this case.
I have another discussion named "SQL Query Having performance issues" in this discussion I have included the query just in case you want to look at it.
Thanks

Better Performance WITH RECOMPILE option

Is performace gain when executes a stored procedure using the WITH RECOMPILE option ?
Why ?
dmpcal

Is performace gain when executes a stored procedure using the WITH RECOMPILE option ?
Why ?
As with many performance question, the answer is: It depends.
If the procedure includes statements the best plan depends heavily on the input parameters, WITH RECOMPILE can help. Although, these days it is better to use the query hint OPTION (RECOMPILE) for that particular query.
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Erland Sommarskog, SQL Server MVP, [email protected]

Get a better performance with audio interface?

Hi all.
I got a silly question. I run Logic 7 on a Powerbook G4 12" with 1.33 Ghz and (only) 768 Mb RAM and a (hard to built in) 160 Gb Harddrive.
After having often the "Disk is too slow..." message I was thinking about buying a external audio interface (presonus firebox).
My simple question is: does an external audio interface give Logic (or CoreAudio) more free DSP-Power? So that maybe I got a better performance? Or do I need to get something like a TC Powercore Firewire?
An answer would be great ... otherwise I have to sell my nice and small 12incher and buy an Intelbook ...
Thanks. Frank.
Powerbook G4 12" 1.33 Ghz Mac OS X (10.4.8)

A new audio interface won't help.
You should start by getting an external 7200 RPM Firewire drive to put your audio on. That right there will help, especially with higher track counts.
Secondly, get more RAM. 768 of RAM is borderline for Logic. I always recommend at least 1 gig. Go ahead and max out that Powerbook to 2 gig of RAM, if you can.
All that to say, an Intel mac would be a huge improvement over the Powerbook. And if you do go that route, still get an external FW drive for audio, and as much RAM as you can afford.

Difference between Temp table and Variable table and which one is better performance wise?

Hello,
Anyone could you explain What is difference between Temp Table (#, ##) and Variable table (DECLARE @V TABLE (EMP_ID INT)) ?
Which one is recommended to use for better performance?
also Is it possible to create CLUSTER and NONCLUSTER Index on Variable table?
In my case: 1-2 days transactional data are more than 3-4 Millions. I tried using both # and table variable and found table variable is faster.
Is that Table variable using Memory or Disk space?
Thanks Shiven:) If Answer is Helpful, Please Vote

Check following link to see differences b/w TempTable & TableVariable: http://sqlwithmanoj.com/2010/05/15/temporary-tables-vs-table-variables/
TempTables & TableVariables both use memory & tempDB in similar manner, check this blog post: http://sqlwithmanoj.com/2010/07/20/table-variables-are-not-stored-in-memory-but-in-tempdb/
Performance wise if you are dealing with millions of records then TempTable is ideal, as you can create explicit indexes on top of them. But if there are less records then TableVariables are good suited.
On Tables Variable explicit index are not allowed, if you define a PK column, then a Clustered Index will be created automatically.
But it also depends upon specific scenarios you are dealing with , can you share it?
~manoj | email: http://scr.im/m22g
http://sqlwithmanoj.wordpress.com
MCCA 2011 | My FB Page

Windows 7 icons disappear/reappear Green Progress folder bar issues with slow performance. HELP!!!

Hi there, I hope someone can help me. This all started about a week ago. So I tried a fresh reinstall from my recovery disk. to no avail. Ok I have Home Premium 64bit and it seems my icons in my user folders and subfolders and the actual file icons are
blank stand ard or missing. after a while they reappear to normal. the green progress bar in the explorer folders always lags and never fully completes. It hangs. Now I see that it takes 30 secs to get a program to open. Currently my control panel screen is
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that first! and used CCleaner to clean my registry

Hi,
So a total reinstall didn’t fix the issue?
We may take a try with the following article to make Windows a better performance.
Optimize Windows for better performance
http://windows.microsoft.com/en-hk/windows/optimize-windows-better-performance#optimize-windows-better-performance=windows-7
Then, please check to see if any new updates available, also the related drivers, make sure they are up-to-date.
After that, if issue insists, please refer to the following article to run chkdsk command in CMD to check if there are disk issue.
http://technet.microsoft.com/en-us/library/bb491051.aspx
Best regards

How to setup airport time capsule to get better performance?

I need to set up my wireless system with my new Airport time capsule 3T as primary base station to get better performance, and If I have a cable modem as primary device to get the signal (5MB) from the ISP then my network has one, Macbook pro, Macbook air, mac mini, 2 ipad's, 2 iphones, but neither of them is connected all time.
What is the best way to do that?
What wifi channel need choose to?

What is the best way to do that?
Use ethernet.. performance of wireless is never as good as ethernet.
What wifi channel need choose to?
There is no such thing as the best channel..
Leave everything auto.. and see if it gives you full download speed.
Use 5ghz.. and keep everything up close to the TC for the best wireless speed.
If you are far away it will drop back to 2.4ghz which is slower.
Once you reach the internet speed nothing is going to help it go faster so you are worrying about nothing.

I need a clarification : Can I use EJBs instead of helper classes for better performance and less network traffic?

My application was designed based on MVC Architecture. But I made some changes to HMV base on my requirements. Servlet invoke helper classes, helper class uses EJBs to communicate with the database. Jsps also uses EJBs to backtrack the results.
I have two EJBs(Stateless), one Servlet, nearly 70 helperclasses, and nearly 800 jsps. Servlet acts as Controler and all database transactions done through EJBs only. Helper classes are having business logic. Based on the request relevant helper classed is invoked by the Servlet, and all database transactions are done through EJBs. Session scope is 'Page' only.
Now I am planning to use EJBs(for business logic) instead on Helper Classes. But before going to do that I need some clarification regarding Network traffic and for better usage of Container resources.
Please suggest me which method (is Helper classes or Using EJBs) is perferable
1) to get better performance and.
2) for less network traffic
3) for better container resource utilization
I thought if I use EJBs, then the network traffic will increase. Because every time it make a remote call to EJBs.
Please give detailed explanation.
thank you,
sudheer

Please suggest me which method (is Helper classes or Using EJBs) is perferable :
1) to get better performance
EJB's have quite a lot of overhead associated with them to support transactions and remoteability. A non-EJB helper class will almost always outperform an EJB. Often considerably. If you plan on making your 70 helper classes EJB's you should expect to see a dramatic decrease in maximum throughput.
2) for less network traffic
There should be no difference. Both architectures will probably make the exact same JDBC calls from the RDBMS's perspective. And since the EJB's and JSP's are co-located there won't be any other additional overhead there either. (You are co-locating your JSP's and EJB's, aren't you?)
3) for better container resource utilization
Again, the EJB version will consume a lot more container resources.

Any general tips on getting better performance out of multi table insert?

I have been struggling with coding a multi table insert which is the first time I ever use one and my Oracle skills are pretty poor in general so now that the query is built and works fine I am sad to see its quite slow.
I have checked numerous articles on optimizing but the things I try dont seem to get me much better performance.
First let me describe my scenario to see if you agree that my performance is slow...
its an insert all command, which ends up inserting into 5 separate tables, conditionally (at least 4 inserts, sometimes 5 but the fifth is the smallest table). Some stats on these tables as follows:
Source table: 5.3M rows, ~150 columns wide. Parallel degree 4. everything else default.
Target table 1: 0 rows, 27 columns wide. Parallel 4. everything else default.
Target table 2: 0 rows, 63 columns wide. Parallel 4. default.
Target table 3: 0 rows, 33 columns wide. Parallel 4. default.
Target table 4: 0 rows, 9 columns wide. Parallel 4. default.
Target table 5: 0 rows, 13 columns wide. Parallel 4. default.
The parallelism is just about the only customization I myself have done. Why 4? I dont know it's pretty arbitrary to be honest.
Indexes?
Table 1 has 3 index + PK.
Table 2 has 0 index + FK + PK.
Table 3 has 4 index + FK + PK
Table 4 has 3 index + FK + PK
Table 5 has 4 index + FK + PK
None of the indexes are anything crazy, maybe 3 or 4 of all of them are on multiple columns, 2-3 max. The rest are on single columns.
The query itself looks something like this:
insert /*+ append */ all
when 1=1 then
into table1 (...) values (...)
into table2 (...) values (...)
when a=b then
into table3 (...) values (...)
when a=c then
into table3 (...) values (...)
when p=q then
into table4(...) values (...)
when x=y then
into table5(...) values (...)
select .... from source_table
Hints I tried are with append, without append, and parallel (though adding parallel seemed to make the query behave in serial, according to my session browser).
Now for the performance:
It does about 8,000 rows per minute on table1. So that means it should also have that much in table2, table3 and table4, and then a subset of that in table5.
Does that seem normal or am I expecting too much?
I find articles talking about millions of rows per minute... Obviously i dont think I can achieve that much... but maybe 30k or so on each table is a reasonable goal?
If it seems my performance is slow, what else do you think I should try? Is there any information I may try to get to see if maybe its a poorly configured database for this?
P.S. Is it possible I can run this so that it commits every x rows or something? I had the heartbreaking event of a network issue giving me this sudden "ora-25402: transaction must roll back" after it was running for 3.5 hours. So I lost all the progress it made... have to start over. plus i wonder if the sheer amount of data being queued for commit/rollback is causing some of the problem?
Edited by: trant on Jun 27, 2011 9:29 PM

Looks like there are about 54 sessions on my database, 7 of the sessions belong to me (2 taken by TOAD and 4 by my parallel slave sessions and 1 by the master of those 4)
In v$session_event there are 546 rows, if i filter it to the SIDs of my current session and order my micro_wait_time desc:
510     events in waitclass Other     30670     9161     329759     10.75     196     3297590639     1736664284     1893977003     0     Other
512     events in waitclass Other     32428     10920     329728     10.17     196     3297276553     1736664284     1893977003     0     Other
243     events in waitclass Other     21513     5     329594     15.32     196     3295935977     1736664284     1893977003     0     Other
223     events in waitclass Other     21570     52     329590     15.28     196     3295898897     1736664284     1893977003     0     Other
241     row cache lock     1273669     0     42137     0.03     267     421374408     1714089451     3875070507     4     Concurrency
241     events in waitclass Other     614793     0     34266     0.06     12     342660764     1736664284     1893977003     0     Other
241     db file sequential read     13323     0     3948     0.3     13     39475015     2652584166     1740759767     8     User I/O
241     SQL*Net message from client     7     0     1608     229.65     1566     16075283     1421975091     2723168908     6     Idle
241     log file switch completion     83     0     459     5.54     73     4594763     3834950329     3290255840     2     Configuration
241     gc current grant 2-way     5023     0     159     0.03     0     1591377     2685450749     3871361733     11     Cluster
241     os thread startup     4     0     55     13.82     26     552895     86156091     3875070507     4     Concurrency
241     enq: HW - contention     574     0     38     0.07     0     378395     1645217925     3290255840     2     Configuration
512     PX Deq: Execution Msg     3     0     28     9.45     28     283374     98582416     2723168908     6     Idle
243     PX Deq: Execution Msg     3     0     27     9.1     27     272983     98582416     2723168908     6     Idle
223     PX Deq: Execution Msg     3     0     25     8.26     24     247673     98582416     2723168908     6     Idle
510     PX Deq: Execution Msg     3     0     24     7.86     23     235777     98582416     2723168908     6     Idle
243     PX Deq Credit: need buffer     1     0     17     17.2     17     171964     2267953574     2723168908     6     Idle
223     PX Deq Credit: need buffer     1     0     16     15.92     16     159230     2267953574     2723168908     6     Idle
512     PX Deq Credit: need buffer     1     0     16     15.84     16     158420     2267953574     2723168908     6     Idle
510     direct path read     360     0     15     0.04     4     153411     3926164927     1740759767     8     User I/O
243     direct path read     352     0     13     0.04     6     134188     3926164927     1740759767     8     User I/O
223     direct path read     359     0     13     0.04     5     129859     3926164927     1740759767     8     User I/O
241     PX Deq: Execute Reply     6     0     13     2.12     10     127246     2599037852     2723168908     6     Idle
510     PX Deq Credit: need buffer     1     0     12     12.28     12     122777     2267953574     2723168908     6     Idle
512     direct path read     351     0     12     0.03     5     121579     3926164927     1740759767     8     User I/O
241     PX Deq: Parse Reply     7     0     9     1.28     6     89348     4255662421     2723168908     6     Idle
241     SQL*Net break/reset to client     2     0     6     2.91     6     58253     1963888671     4217450380     1     Application
241     log file sync     1     0     5     5.14     5     51417     1328744198     3386400367     5     Commit
510     cursor: pin S wait on X     3     2     2     0.83     1     24922     1729366244     3875070507     4     Concurrency
512     cursor: pin S wait on X     2     2     2     1.07     1     21407     1729366244     3875070507     4     Concurrency
243     cursor: pin S wait on X     2     2     2     1.06     1     21251     1729366244     3875070507     4     Concurrency
241     library cache lock     29     0     1     0.05     0     13228     916468430     3875070507     4     Concurrency
241     PX Deq: Join ACK     4     0     0     0.07     0     2789     4205438796     2723168908     6     Idle
241     SQL*Net more data from client     6     0     0     0.04     0     2474     3530226808     2000153315     7     Network
241     gc current block 2-way     5     0     0     0.04     0     2090     111015833     3871361733     11     Cluster
241     enq: KO - fast object checkpoint     4     0     0     0.04     0     1735     4205197519     4217450380     1     Application
241     gc current grant busy     4     0     0     0.03     0     1337     2277737081     3871361733     11     Cluster
241     gc cr block 2-way     1     0     0     0.06     0     586     737661873     3871361733     11     Cluster
223     db file sequential read     1     0     0     0.05     0     461     2652584166     1740759767     8     User I/O
223     gc current block 2-way     1     0     0     0.05     0     452     111015833     3871361733     11     Cluster
241     latch: row cache objects     2     0     0     0.02     0     434     1117386924     3875070507     4     Concurrency
241     enq: TM - contention     1     0     0     0.04     0     379     668627480     4217450380     1     Application
512     PX Deq: Msg Fragment     4     0     0     0.01     0     269     77145095     2723168908     6     Idle
241     latch: library cache     3     0     0     0.01     0     243     589947255     3875070507     4     Concurrency
510     PX Deq: Msg Fragment     3     0     0     0.01     0     215     77145095     2723168908     6     Idle
223     PX Deq: Msg Fragment     4     0     0     0     0     145     77145095     2723168908     6     Idle
241     buffer busy waits     1     0     0     0.01     0     142     2161531084     3875070507     4     Concurrency
243     PX Deq: Msg Fragment     2     0     0     0     0     84     77145095     2723168908     6     Idle
241     latch: cache buffers chains     4     0     0     0     0     73     2779959231     3875070507     4     Concurrency
241     SQL*Net message to client     7     0     0     0     0     51     2067390145     2000153315     7     Network
(yikes, is there a way to wrap that in equivalent of other forums' tag?)
v$session_wait;
223     835     PX Deq Credit: send blkd     sleeptime/senderid     268697599     000000001003FFFF     passes     1     0000000000000001     qref     0     00     1893977003     0     Other     0     10     WAITING
241     22819     row cache lock     cache id     13     000000000000000D     mode     0     00     request     5     0000000000000005     3875070507     4     Concurrency     -1     0     WAITED SHORT TIME
243     747     PX Deq Credit: send blkd     sleeptime/senderid     268697599     000000001003FFFF     passes     1     0000000000000001     qref     0     00     1893977003     0     Other     0     7     WAITING
510     10729     PX Deq Credit: send blkd     sleeptime/senderid     268697599     000000001003FFFF     passes     1     0000000000000001     qref     0     00     1893977003     0     Other     0     2     WAITING
512     12718     PX Deq Credit: send blkd     sleeptime/senderid     268697599     000000001003FFFF     passes     1     0000000000000001     qref     0     00     1893977003     0     Other     0     4     WAITING
v$sess_io:
223     0     5779     5741     0     0
241     38773810     2544298     15107     27274891     0
243     0     5702     5688     0     0
510     0     5729     5724     0     0
512     0     5682     5678     0     0

I need better performance from my computer. Could someone point me in the right direction?

I do a lot of video editing for work. I am currently using the Creative Cloud, and the programs I use most frequently are Premiere Pro CS6, Photoshop CS6, and Encore. My issue is that when I am rendering video in Premiere Pro, and most importantly, transcoding in Encore for BluRay discs, I am getting severe lag from my computer. It basically uses the majority of my computer's resources and doesn't allow me to do much else. This means, that I can't do other work while stuff is rendering or transcoding. I had this computer built specifically for video editing and need to know which direction to go in for an upgrade to get some better performance, and allow me to do other work.
For the record, I do have MPE: GPU Acceleration turned ON, and I have 12GBs of RAM alloted for Adobe in Premiere Pro's settings, and 4GBs left for "other".
Here is my computer:
- Dell Precision T7600
- Windows 7 Professional, 64-bit
- DUAL Intel Xeon CPU E-2620 - 2.0GHz 6-core Processors
- 16GBs of RAM
- 256GB SSD as my primary drive. This is where the majority of my work is performed.
- Three 2TB secondary drives in a RAID5 configuration. This is solely for backing up data after I have worked on it. I don't really use this to work off of.
- nVidia Quadro 4000 2GB video card
When I am rendering or transcoding, my processor(s) performance fluctuates between 50%-70%, with all 12 cores active and being used. My physical memory is basically ALL used up while this is happening.
Here is where I am at on the issue. I put in a request for more RAM (32GBs), this way I can allot around 25GBs of RAM to the Adobe suite, leaving more than enough to do other things. I was told that this was not the right direction to go in. I was told that since my CPUs are working around 50-70%, it means that my video card isn't pulling enough weight. I was told that the first step in upgrading this machine that we should take, is to replace my 2GB video card with a 4GB video card, and that will fix these performance issues that I am having, not RAM.
This is the first machine that has been built over here for this purpose, so it is a learning process for us. I was hoping someone here could give a little insight to my situation.
Thanks for any help.

You have a couple of issues with this system:
Slow E5-2620's. You would be much better off with E5-2687W's
Limited memory. 32 GB is around bare minimum for a dual processor system.
Outdated Quadro 4000 card, which is very slow in comparison to newer cards and is generally not used when transcoding.
Far insufficient disk setup. You need way more disks.
A software raid5 carries a lot of overhead.
The crippled BIOS of Dell does not allow overclocking.
The SSD may suffer from severe 'stable state' performance degradation, reducing performance even more.
You would not be the first to leave a Dell in the configuration it came in. If that is the case, you need a lot of tuning to get it to run decently.
Second thing to consider is what source material are you transcoding to what destination format? If you start with AVCHD material and your destination is MPEG2-DVD, the internal workings of PR may look like this:
Convert AVCHD material to an internal intermediate, which is solely CPU bound. No GPU involvement.
Rescale the internal intermediate to DVD dimensions, which is MPE accelerated, so heavy GPU involvement.
Adjust the frame rate from 29.97 to 23.976, which again is MPE accelerated, so GPU bound.
Recode the rescaled and frame-blended internal intermediate to MPEG2-DVD codec, which is again solely CPU bound.
Apply effects to the MPEG2-DVD encoded material, which can be CPU bound for non-accelerated effects and GPU bound for accelerated effects.
Write the end result to disk, which is disk performance related.
If you export AVCHD to H.264-BR the GPU is out of the game altogether, since all transcoding is purely CPU based, assuming there is no frame blending going on. Then all the limitations of the Dell show up, as you noticed.

In PI 7.1 better performance is reached using RFC or Proxy?

Hello Experts,
As with PI 7.1 which one would be better option to have better performance?
1)Proxy which goes through the Integration Engine by omiting Advance adaptor Engine
2)RFC which goes through the AAE by omiting Integration Engine
As we know there are alot of advantages of Proxies over RFC:
1. Proxy communication always by passes the Adapter Engine and will directly interact with the application system and Integration engine. So it will give us better performance.
2. Proxies communicate with the XI server by means of native SOAP calls over HTTP.
3. Easy to handle messages with ABAP programming if it is ABAP Proxy .
4. Proxy is good for large volumes of data. we can catch and persist the errors ( both system & application fault ) which was generated by Proxy setting.
Thanks in Advance
Rajeev

Hey
More than the performance,its a question of requirement.
There are several restrictions which you need to consider before using AAE.To name a few
IDOC,HHTP adapter wont be available
No support for ABAP mapping
No support for BPM
No support for proxy
No support for Multimapping,content based routing ( in first release)
So if you want to use any of the above you cant use AAE in first place.but performance is significantly improved,upto 4 times better that simple AE-IE
/people/william.li/blog/2008/01/10/advanced-adapter-engine-configuration-in-pi-71
check the above blog and the article mentioned in it.
Now coming to proxy,it supports all the above and performance is not that bad either.
so it all boils down to what your requirements are:)
Thanks
Aamir

How to get better perform here

hi there,
bellow code is using with in the loop. how can i modify to get better performance.
SELECT knumv kposn kwert FROM konv
                                INTO CORRESPONDING FIELDS OF lt_konv
                                 WHERE knumv EQ lt_output-knumv
                                 AND kposn EQ lt_output-posnr
                                 AND kschl EQ 'VPRS'.
        COLLECT lt_konv.
      ENDSELECT.
thx in adv.

the better solution for the select statement whould be to use the aggreagte function sum for the field kwert:
SELECT knumv kposn sum(kwert)
             FROM konv
             INTO CORRESPONDING FIELDS OF table lt_konv
             WHERE knumv EQ lt_output-knumv
                   AND kposn EQ lt_output-posnr
                   AND kschl EQ 'VPRS'.
The select is inside the loop an lt_output.
Aggregate functions and FOR ALL ENTRIES can not be combined, the
FOR ALL ENTRIES is a select distinct !!!
So you must leave the loop around the select and you can't use the FOR ALL ENTRIES, but this is o.k.,
Siegfried

Will insert (ignore duplicates) have a better performance than merge?

Will insert (ignore duplicates) have a better performance than merge (insert if not duplicate)?

Ok. Here is exactly what is happenning -
We had a table with no unique index on it. We used 'insert all' statement to insert record.
But later when we found duplicates in there we started removing them manually.
Now, to resolve the issue we added unique index and added exception handling to ignore DUP_VAL_ON_INDEX exception.
But with this all records being inserted by 'INSERT ALL' statement gets ignored even if only one record is duplicate.
Hence we have finally replaced 'insert all' with merge statement. Which inserts only if a corresponding record is not found (match based on column in unique index) in the table.
But I am wondering how much performance will get impacted.

Distributed File System Replication between servers with different performance

If Distributed File System Replication is set between servers with different performance. What will happen with the performance of the fastest server? Will the performance decrease to match the performance of the
slowest server in the chain? I mean, will the source slow down (processor speed) if the recipients can't keep up?

Hi,
If you mix different performance server for DFS replication, most of improvements on the fastest server are disabled for backwards compatibility and the performance decrease to match the performance of the slowest server.
For more detailed information, please refer to the article below:
Tuning replication performance in DFSR (especially on Win2008 R2)
http://blogs.technet.com/b/askds/archive/2010/03/31/tuning-replication-performance-in-dfsr-especially-on-win2008-r2.aspx
Best Regards,
Mandy
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Which method has a better performance ?

Hello !
I'm using entity framework , and I have several cases where I should run a query than return some parent items , and after I display these parents and the related children in one report.
I want to know which of these methods have the better performance : ( or is there any other better method ??? )
Method1: (the childs collection are loaded later , using lazy loading)
Dim lista as IQueryable(Of MyObj) = (From t In context.MyObjs Where(..condition..) select t).Tolist
Method2:
Dim lista as IQueryable(Of MyObj) = (From t In context.MyObjs Where(..condition..) _
.Include(Function(t2) t2.Childs1) _
.Include(Function(t2) t2.Childs2) _
.Include(Function(t2) t2.Childs2.Child22) _
.Include(Function(t2) t2.Childs1.Childs11) _
.Include(Function(t2) t2.Childs1.Childs12) _
Select t).ToList
Method3:
Dim lista as IQueryable(Of MyObj)
Dim lst= (From t2 In context.MyObjs Where(..condition..) Select New with _
{ .Parent=t2
.ch1=t2.Childs1 _
.ch2=t2.Childs2 _
.ch21=t2.Childs2.Child21) _
.ch11=t2.Childs1.Childs11) _
.ch12= t2.Childs1.Childs12 _
).ToList
lista=lst.Select(Function(t2) t2.parent)
I noticed that the first method cause the report to open very slow. Also I read somewhere that Include() cause repeat of parent items?
But anyway I want a professional opinion in general for the three methods.
Thank you !

Hello,
As far as I know, the Entity Framework offers two ways to load related data after the fact. The first is called lazy loading and, with the appropriate settings, it happens automatically. In your case, your first method uses the last loading, while the second
and third are the same actually, both of them are Eager Loading. (In VB, if you could check use code as “DbContext.Database.Log = Sub(val) Diagnostics.Trace.WriteLine(val)” to see the actually generated sql statement, you could see the third and second query
would generate a join syntax). Since you mentions, the lazy loading way is low performance, you could use either the second or third one.
>>Also I read somewhere that Include() cause repeat of parent items?
For this, nor sure if you worry it would firstly use lazy loading and then use eager loading, however, in my test, I do not see this behavior, the Entity Framework seems to be smart enough to use one mode to load data at the same time. Or you could disable
its lazy loading when using eager loading:
context.ContextOptions.LazyLoadingEnabled = false
Regards.
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