Poor Performance : Structure Display - IH01 / Structure List - IE02/IE03

Hi All,
We are using version ECC 6.0
When we run transaction IH01 (Structural Display), the system almost gets hanged (i.e: NO output at all for hours together). We are not able to view the structural display even if we maintain the "Display levels below" as 5. The hourglass runs for ever without displaying any output which prompts us to abort the transaction in between.
Moreover we are facing similar problem in Transaction IE02 & IE03 (Change & Display Equipment) when we click the structe list for an equipment. Here also the system takes a long time to display the structure list of that equipment. However after some times the system displays the output.
Kindly post your valuable suggestions on resolving the problem.
Thanks and with Best Regards.
Kannan J

I think displaying 5 levels below definitely affects your performance. Try to run it with 1 level below and see if it makes any difference.
There is also a config setting that affects the performance of IH01 which is, Master Data>Technical Objects>General Data-->Define Selection Procedure for Structural Display and BOMs.
Try to set this setting see if it helps.
Hope it helps,
PJ

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Hi,
I have a custom built List component that is using a TileLayout. I am using a custom itemRenderer to load images into this list from our server (in this test, 44 images rae loaded). I have enabled dragEnabled and dragMove so that I can move items around within the list. The problem comes when I start dragging an item. The dragging operation is very slow and clunky.
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Ahh, good call about the Performance profiler. I'm pretty new to the profiling thing with Flex (haven't used Builder Pro before
the Flex 4 beta) so please forgive me
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Hi Phil,
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Poor performance of the BDB cache

I'm experiencing incredibly poor performance of the BDB cache and wanted to share my experience, in case anybody has any suggestions.
Overview
Stone Steps maintains a fork of a web log analysis tool - the Webalizer (http://www.stonesteps.ca/projects/webalizer/). One of the problems with the Webalizer is that it maintains all data (i.e. URLs, search strings, IP addresses, etc) in memory, which puts a cap on the maximum size of the data set that can be analyzed. Naturally, BDB was picked as the fastest database to maintain analyzed data on disk set and produce reports by querying the database. Unfortunately, once the database grows beyond the cache size, overall performance goes down the drain.
Note that the version of SSW available for download does not support BDB in the way described below. I can make the source available for you, however, if you find your own large log files to analyze.
The Database
Stone Steps Webalizer (SSW) is a command-line utility and needs to preserve all intermediate data for the month on disk. The original approach was to use a plain-text file (webalizer.current, for those who know anything about SSW). The BDB database that replaced this plain text file consists of the following databases:
sequences (maintains record IDs for all other tables)
urls -primary database containing URL data - record ID (key), URL itself, grouped data, such as number of hits, transfer size, etc)
urls.values - secondary database that contains a hash of the URL (key) and the record ID linking it to the primary database; this database is used for value lookups)
urls.hits - secondary database that contains the number of hits for each URL (key) and the record ID to link it to the primary database; this database is used to order URLs in the report by the number of hits.
The remaining databases are here just to indicate the database structure. They are the same in nature as the two described above. The legend is as follows: (s) will indicate a secondary database, (p) - primary database, (sf) - filtered secondary database (using DB_DONOTINDEX).
urls.xfer (s), urls.entry (s), urls.exit (s), urls.groups.hits (sf), urls.groups.xfer (sf)
hosts (p), hosts.values (s), hosts.hits (s), hosts.xfer (s), hosts.groups.hits (sf), hosts.groups.xfer (sf)
downloads (p), downloads.values (s), downloads.xfer (s)
agents (p), agents.values (s), agents.values (s), agents.hits (s), agents.visits (s), agents.groups.visits (sf)
referrers (p), referrers.values (s), referrers.values (s), referrers.hits (s), referrers.groups.hits (sf)
search (p), search.values (s), search.hits (s)
users (p), users.values (s), users.hits (s), users.groups.hits (sf)
errors (p), errors.values (s), errors.hits (s)
dhosts (p), dhosts.values (s)
statuscodes (HTTP status codes)
totals.daily (31 days)
totals.hourly (24 hours)
totals (one record)
countries (a couple of hundred countries)
system (one record)
visits.active (active visits - variable length)
downloads.active (active downloads - variable length)
All these databases (49 of them) are maintained in a single file. Maintaining a single database file is a requirement, so that the entire database for the month can be renamed, backed up and used to produce reports on demand.
Database Size
One of the sample Squid logs I received from a user contains 4.4M records and is about 800MB in size. The resulting database is 625MB in size. Note that there is no duplication of text data - only nodes and such values as hits and transfer sizes are duplicated. Each record also contains some small overhead (record version for upgrades, etc).
Here are the sizes of the URL databases (other URL secondary databases are similar to urls.hits described below):
urls (p):
8192 Underlying database page size
2031 Overflow key/data size
1471636 Number of unique keys in the tree
1471636 Number of data items in the tree
193 Number of tree internal pages
577738 Number of bytes free in tree internal pages (63% ff)
55312 Number of tree leaf pages
145M Number of bytes free in tree leaf pages (67% ff)
2620 Number of tree overflow pages
16M Number of bytes free in tree overflow pages (25% ff)
urls.hits (s)
8192 Underlying database page size
2031 Overflow key/data size
2 Number of levels in the tree
823 Number of unique keys in the tree
1471636 Number of data items in the tree
31 Number of tree internal pages
201970 Number of bytes free in tree internal pages (20% ff)
45 Number of tree leaf pages
243550 Number of bytes free in tree leaf pages (33% ff)
2814 Number of tree duplicate pages
8360024 Number of bytes free in tree duplicate pages (63% ff)
0 Number of tree overflow pages
The Testbed
I'm running all these tests using the latest BDB (v4.6) built from the source on Win2K3 server (release version). The test machine is 1.7GHz P4 with 1GB of RAM and an IDE hard drive. Not the fastest machine, but it was able to handle a log file like described before at a speed of 20K records/sec.
BDB is configured in a single file in a BDB environment, using private memory, since only one process ever has access to the database).
I ran a performance monitor while running SSW, capturing private bytes, disk read/write I/O, system cache size, etc.
I also used a code profiler to analyze SSW and BDB performance.
The Problem
Small log files, such as 100MB, can be processed in no time - BDB handles them really well. However, once the entire BDB cache is filled up, the machine goes into some weird state and can sit in this state for hours and hours before completing the analysis.
Another problem is that traversing large primary or secondary databases is a really slow and painful process. It is really not that much data!
Overall, the 20K rec/sec quoted above drop down to 2K rec/sec. And that's all after most of the analysis has been done, just trying to save the database.
The Tests
SSW runs in two modes, memory mode and database mode. In memory mode, all data is kept in memory in SSW's own hash tables and then saved to BDB at the end of each run.
In memory mode, the entire BDB is dumped to disk at the end of the run. First, it runs fairly fast, until the BDB cache is filled up. Then writing (disk I/O) goes at a snail pace, at about 3.5MB/sec, even though this disk can write at about 12-15MB/sec.
Another problem is that the OS cache gets filled up, chewing through all available memory long before completion. In order to deal with this problem, I disabled the system cache using the DB_DIRECT_DB/LOG options. I could see OS cache left alone, but once BDB cache was filed up, processing speed was as good as stopped.
Then I flipped options and used DB_DSYNC_DB/LOG options to disable OS disk buffering. This improved overall performance and even though OS cache was filling up, it was being flushed as well and, eventually, SSW finished processing this log, sporting 2K rec/sec. At least it finished, though - other combinations of these options lead to never-ending tests.
In the database mode, stale data is put into BDB after processing every N records (e.g. 300K rec). In this mode, BDB behaves similarly - until the cache is filled up, the performance is somewhat decent, but then the story repeats.
Some of the other things I tried/observed:
* I tried to experiment with the trickle option. In all honesty, I hoped that this would be the solution to my problems - trickle some, make sure it's on disk and then continue. Well, trickling was pretty much useless and didn't make any positive impact.
* I disabled threading support, which gave me some performance boost during regular value lookups throughout the test run, but it didn't help either.
* I experimented with page size, ranging them from the default 8K to 64K. Using large pages helped a bit, but as soon as the BDB cached filled up, the story repeated.
* The Db.put method, which was called 73557 times while profiling saving the database at the end, took 281 seconds. Interestingly enough, this method called ReadFile function (Win32) 20000 times, which took 258 seconds. The majority of the Db.put time was wasted on looking up records that were being updated! These lookups seem to be the true problem here.
* I tried libHoard - it usually provides better performance, even in a single-threaded process, but libHoard didn't help much in this case.

I have been able to improve processing speed up to
6-8 times with these two techniques:
1. A separate trickle thread was created that would
periodically call DbEnv::memp_trickle. This works
especially good on multicore machines, but also
speeds things up a bit on single CPU boxes. This
alone improved speed from 2K rec/sec to about 4K
rec/sec.Hello Stone,
I am facing a similar problem, and I too hope to resolve the same with memp_trickle. I had these queries.
1. what was the % of clean pages that you specified?
2. What duration were you clling this thread to call memp_trickle?
This would give me a rough idea about which to tune my app. Would really appreciate if you can answer these queries.
Regards,
Nishith.
>
2. Maintaining multiple secondary databases in real
time proved to be the bottleneck. The code was
changed to create secondary databases at the end of
the run (calling Db::associate with the DB_CREATE
flag), right before the reports are generated, which
use these secondary databases. This improved speed
from 4K rec/sec to 14K rec/sec.

Poor performance with WebI and BW hierarchy drill-down...

Hi
We are currently implementing a large HR solution with BW as backend
and WebI and Xcelcius as frontend. As part of this we are experiencing
very poor performance when doing drill-down in WebI on a BW hierarchy.
In general we are experiencing ok performance during selection of data
and traditional WebI filtering - however when using the BW hierarchy
for navigation within WebI, response times are significantly increasing.
The general solution setup are as follows:
1) Business Content version of the personnel administration
infoprovider - 0PA_C01. The Infoprovider contains 30.000 records
2) Multiprovider to act as semantic Data Mart layer in BW.
3) Bex Query to act as Data Mart Query and metadata exchange for BOE.
All key figure restrictions and calculations are done in this Data Mart
Query.
4) Traditionel BO OLAP universe 1:1 mapped to Bex Data Mart query. No
calculations etc. are done in the universe.
5) WebI report with limited objects included in the WebI query.
As we are aware that performance is an very subjective issues we have
created several case scenarios with different dataset sizes, various
filter criteria's and modeling techniques in BW.
Furthermore we have tried to apply various traditional BW performance
tuning techniques including aggregates, physical partitioning and pre-
calculation - all without any luck (pre-calculation doesn't seem to
work at all as WebI apparently isn't using the BW OLAP cache).
In general the best result we can get is with a completely stripped WebI report without any variables etc.
and a total dataset of 1000 records transferred to WebI. Even in this scenario we can't get
each navigational step (when using drill-down on Organizational Unit
hierarchy - 0ORGUNIT) to perform faster than minimum 15-20 seconds per.
navigational step.
That is each navigational step takes 15-20 seconds
with only 1000 records in the WebI cache when using drill-down on org.
unit hierachy !!.
Running the same Bex query from Bex Analyzer with a full dataset of
30.000 records on lowest level of detail returns a threshold of 1-2
seconds pr. navigational step thus eliminating that this should be a BW
modeling issue.
As our productive scenario obviously involves a far larger dataset as
well as separate data from CATS and PT infoproviders we are very
worried if we will ever be able to utilize hierarchy drill-down from
WebI ?.
The question is as such if there are any known performance issues
related to the use of BW hierarchy drill-down from WebI and if so are
there any ways to get around them ?.
As an alternative we are currently considering changing our reporting
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Hope that you are able to help.
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Edited by: Mads Frank on Feb 1, 2010 9:41 PM

Hi Henry, thank you for your suggestions although i´m not agree with you that 20 seconds is pretty good for that navigation step. The same query executed with BEx Analyzer takes only 1-2 seconds to do the drill down.
Actions
suppress unassigned nodes in RSH1: Magic!! This was the main problem!!
tick use structure elements in RSRT: Done it.
enable query stripping in WebI: Done it.
upgrade your BW to SP09: Has the SP09 some inprovements in relation to this point ?
use more runtime query filters. : Not possible. Very simple query.
Others:
RSRT combination H-1-3-3-1 (Expand nodes/Permanent Cache BLOB)
Uncheck prelimirary Hierarchy presentation in Query. only selected.
Check "Use query drill" in webi properties.
Sorry for this mixed message but when i was answering i tryied what you suggest in relation with supress unassigned nodes and it works perfectly. This is what is cusing the bottleneck!! incredible...
Thanks a lot
J.Casas

Display a Linked List ADT in JTree ?

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im very new to java, and new here
i searched many websites, but i cant find it
it looks like this,
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what i know is,
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sen,
my lecture[r] said no statement in classEither you misundetstood your lecturer [probable]; or your lecturer is full of shit [possible].
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she said we can only declare like "String[] children;" in classEither you misundetstood your lecturer ...
There's nothing actually wrong withclass Employee{
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Company Hierarchy Displayed as Flat List

Dear Experts,
I have a problem as described below.
My query has 0COMPANY in its column. The hierarchy for 0COMPANY has been defined but not activated by default. Whenever users from Group A execute this query, they need to view 0COMPANY as hierarchy by activating it via Property.
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Hi Diogo,
Thanks a lot for your reply. It keeps me moving.
I have copied the query into a different name and tried to change 0COMPANY hierarchy setting as active by default. However, I got the following error message in Query Designer:
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Is my Hierarchy Attribute Settings caused the problem?
Appreciate further help. Thanks!

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Hi,
I have a problem updating several reports which either time out or take ages to respond when making simple changes. It doesn't seem to matter which mode you are in while making a change (whether in data or structure mode) nor the tool used (Webi or Rich Client).
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We are currently using Business Objects BI4.0 SP6 Edge. These reports consist of some 600+ variables however they never caused this issue in the older version of BO.
Please can someone suggest a solution to this issue as it is taking me much longer to make simple updates to these reports when it ought to be straight forward.
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Ian

Hi Farzana,
Thanks for your response. Yes, I had read this on a variety of forums and due to the poor performance wrote the report from scratch again.
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Hi all togehter,
we have big problem with the speed of the ZCC, when I click view details by a managed workstation device.
It takes up to 60 seconds until the ZCC show me the details for the selected device.
Even if I click on the inventory, relationships and so on, it takes soooo long. But the poor performance is only at the Workstation devices not at the Server devices.
Or environment is:
ZCM 11.2.4
Oracle RAC 11.2.0.4 Database
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Originally Posted by dbriese
How many devices do you let ZCC display per page? We have seen increased loading times of the device details page if we set the workstation folder list view to display hundreds of or even all devices. Although this is actually a step before displaying a device's details the list view seems to have an impact on it.
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Poor Performance : Structure Display - IH01 / Structure List - IE02/IE03

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