In general how is T series performance for data warehousing databases ~1 TB

Hi,
I am planning to use a Sun T3-2 for a data warehouse app. Oracle 11g around a 1 TB worth of data and batch jobs and ~ 200 concurrent users.
We are using HP UX Superdome server now ( node partition of 8 physical CPU's 750 Mhz ).
I know that the T series servers are good for highly multi threaded application. Can I consider the database 11g as a highly multithreaded app ?
How about the batch jobs which run long SQL jobs, I don't think those can be considered multithreaded.
Anyone is using these T series srevers for databases around a TB size ?
Please suggest.
Thanks ..

The T3-2 can do much more work then the old Superdome, but the T3-2 won't run single threaded queires significantly faster then the old Superdome, it will just be able to run about 100x more of them.
If you care most about price/performance look at the X4800 or X4450 servers.
If you care most about availablity and performance look at the M4000/M5000 servers
My experience with coolthreads servers for Oracle DB is be 100% sure what you're doing isn't single thread dependent before deploying.

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Yes, we can.
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Hi,
See the below report extract:
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Rahul

There seems to be a new myth going around recently. I’ve had at least three people tell me, in the last month, that SQL’s transactional replication requires the database to be in full recovery.
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Hi all
can anybody explain scope for data warehousing ETL Tool
for oracle developer in future this is ok or..
regards
Message was edited by:
174313

What exactly is your question?
The scope of using an ETL tool would be setting up and maintaining datawarehouses and building ETL processes to populate these datawarehouses.
A tool is generally preferred over hand coding because tools allow better maintenance, shorter development cycles etc.
Oracle has a pretty good ETL tool, called Oracle Warehouse Builder. It's not the best tool available, but if you compare price/ functionality I would say in most cases it will do.
If your question is if it's a wise pick to master OWB or any ETL tool my answer would be a clear YES! Datawarehouses and BI are becoming more important every day, their use gets broader everyday.
If your question is if an investment in OWB is a wise investment for the future I would answer a clear YES again. It's increddilbe to see what progress Oracle made with the tool, coming from a 'laughing stock' postition, regarded completely immature good for nothing tool, to where they are now, with 10.2. Regarded as one of the leaders by Gartner.
Oracle has recognized (a long while ago) that ETL is the bread and butter of the future and invests in a good quality tool for accomplishing this.
I hope this answes your question, if not, please try to specify more clearly.
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Toin.

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Best Course for Data Warehousing

Hi,
I am planning to join data warehousing course .I heard there is lot courses in data warehousing .
Data warehousing with ETL tools or
Data warehousing with Crystal Reports or
Data warehousing with Business object or
Data warehousing with Informatica or
Data warehousing with Bo-Webel or
Data warehousing with Cognos or
Data warehousing with Data Stage or
Data warehousing with MSTR or
Data warehousing with Erwin or
Data warehousing with oracle.
Please suggest me which best to choose and which have more scope because I don't know the ABC of data warehousing but I have some experience in oracle.
Is it must that I need work experience in data warehousing then only can get a job ?Please tell me which is the best book for data warehousing which should start from scratch. Please give your suggestions about to my queries.
Thanks & Regards,
Raji

Hi,
Basically Datawarehouse is a concept.To develop DW , we need two tools mainly. One is ETL tool and other one is Reporting tool .
The few famous ETL tools are
Informatica
Data Stage
Few famous Reporting tools are
Crystal Reports
Cognos
Business object
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Fundamentals of Datawarehouse by PaulRaj Ponnai and
Datawarehouse toolkit.
http://www.inmoncif.com/about.html is one of the best site for Datawarehouse.
With rgds,
Anil Kumar Sharma .P
Assigning points is the way to say thanks in SDN site.

Webcast : Sun Oracle Database Machine for Data Warehousing -Sep 30 noon ET

Sun Oracle Database Machine for Data Warehousing
Jean Pierre Dijcks - Data Warehousing Product Mgmt, Oracle
https://conference.oracle.com/imtapp/app/cmn_jm_hub.uix?mID=158101510
On September 15 Oracle announced the second generation of its Database Machine, making an already strong data warehousing product significantly stronger. The new version runs on Sun hardware and offers important new features. Available in full rack, half rack, quarter rack, and basic unit configurations, the Sun Oracle Database Machine can add value at many data warehouse size levels.
The Sun Oracle Database Machine runs on Oracle Database 11g Release 2 and has new features such as:
Smart Flash Cache memory for ultra-fast IO - Reaches 50GB/second on a full rack system (not even counting gains from compression)
Exadata Hybrid Columnar Compression - Maximizes data capacity and reduces scan times: think 500GB/second IO
Offloaded Data Mining Scoring - Moves CPU-intensive operations from database servers to Exadata storage servers
In-Memory Parallel Execution - Caches full tables in memory across nodes: foundation of new TPC-H world record
There is plenty more we have not listed above, so come to this TechCast and learn about this major new product!
Audio Dial-In: 888 967 2253 Audio Meeting ID: 572994 Audio Meeting Passcode: 334451
Web Conference: https://conference.oracle.com/imtapp/app/cmn_jm_hub.uix?mID=158101510
Compatibility Check: If you have not used Oracle's web conference system before, please ensure your system
compatibility by going to https://conference.oracle.com/imtapp/app/nuf_sys.uix

Is there any way, one could get this webcast to watch it offline?
regards

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Thilo,
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How to mesure/benchmark performance of a new database on new server?

Hi there
I have two oracle servers with following (same) details:
RHEL 5.8 64-bit
Oracle 10gR2 - 10.2.0.5.8
ASM 10gR2 - 10.2.0.5.8
Server A: RAM 32GB, 8 CPUs @ 3.00GHz
Server B: RAM 128GB, vCPUs 16 cores
Server A (physical server) already has a database A. Server B (on VMWare - yes, my client is moving all Oracle servers to VMware for whatever reason) is a new installation and new database B with exact same init params as databas A. I expdp the data from database A and impdp into database B.
As per the hardware team, the hardware is better than the old server B. I did a very basic test to check if new DB performs better than that on physical server. Here is the results:
I ran a simple query to create a new table. The original table (say, table_a) contains 1.7+ million rows and size is 2.2GB.
create table test1
as
select * from table_a;
It took 3:28mins on database B while it took only 1:55mins on database A. So the new database B seems to be performing poor (apparently). Then I looked at the explain plan (not sure if it means much because it s a very simple query) and here it is from both databases:
Database A (physical server
Plan
SELECT STATEMENT ALL_ROWS
Cost: 14,052 Bytes: 2,161,302,003 Cardinality: 16,250,391
1 TABLE ACCESS FULL TABLE table_a
Cost: 14,052 Bytes: 2,161,302,003 Cardinality: 16,250,391
Database B (virtual server)
Plan
SELECT STATEMENT ALL_ROWS
Cost: 59,844 Bytes: 2,161,302,003 Cardinality: 16,250,391
1 TABLE ACCESS FULL TABLE table_a
Cost: 59,844 Bytes: 2,161,302,003 Cardinality: 16,250,391
Questions:
1. Why is the cost different? Should I "compute statistics" on database B (virtual server)?
2. How to investigate further and find out reason for the time difference?
3. What other benchmark test can I run to make sure that I have the right database configuration?
Not sure if this is enough info - if not, please let me know what else should I provide.
The team I have to hand-over this server is refusing to accept it by saying that it is slower than the existing one.
Please advise!
Best regards

Wow... I am really thankful for everyone's input - this is really really appreciated!
I will try what you all have suggested. In the meantime, I did some simple test on both databases and here are the results:
Create table t1
(1.7million rows)
Create index on
two columns on t1
Create table t2
500000 rows
Create Index on
two columns on t2
Delete from t1
(500000 rows)
Insert into t1
500000 rows
Drop table t2
Drop table t1
Database A
hh:mm:ss.00
hh:mm:ss.00
hh:mm:ss.00
hh:mm:ss.00
hh:mm:ss.00
hh:mm:ss.00
hh:mm:ss.00
hh:mm:ss.00
1st run
00:01:55.78
00:02:12.59
00:00:03.06
00:00:01.99
00:01:25.56
00:00:10.37
00:00:00.15
00:00:05.12
2nd run
00:01:56.27
00:02:11.54
00:00:02.89
00:00:01.09
00:01:18.39
00:00:10.20
00:00:00.17
00:00:04.87
3rd run
00:01:56.71
00:02:12.36
00:00:03.14
00:00:01.13
00:01:22.97
00:00:10.22
00:00:00.15
00:00:04.88
Database B (VM)
hh:mm:ss.00
hh:mm:ss.00
hh:mm:ss.00
hh:mm:ss.00
hh:mm:ss.00
hh:mm:ss.00
hh:mm:ss.00
hh:mm:ss.00
1st run
00:00:25:83
00:03:54.60
00:00:00.67
00:00:01.43
00:00:29.56
00:00:09.75
00:00:00.05
00:00:01.10
2nd run
00:00:24.67
00:03:05.81
00:00:00:62
00:00:01.10
00:00:31.76
00:00:08.59
00:00:00.04
00:00:00.59
3rd run
00:00:44.06
00:03:12.91
00:00:00.97
00:00:01.62
00:00:39.35
00:00:08.90
00:00:00.03
00:00:00.61
Now, the database on Server B (VMware) seems to be outperforming that on Server A except for the "Create index on two columns on t1" column.
Any clues why index creation is consistently taking longer on the database B (on VM) as compared to that on database A (physical server)?
@jgarry: I am not in a position to try SLOB (no doubt a good tool with lots of reputation) because it requires to create a new DB (which I cannot do on the existing server). I did try "HammerDB" but unfortunately it crashed on each attempt to test the load.

How to view custom performance counter data?

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<?xml version="1.0" encoding="utf-8"?>
<ApplicationInsights xmlns="http://schemas.microsoft.com/ApplicationInsights/2013/Settings" schemaVersion="2014-05-30">
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<Add Type="Microsoft.ApplicationInsights.Extensibility.Web.WebApplicationLifecycleModule, Microsoft.ApplicationInsights.Extensibility.Web" />
<Add Type="Microsoft.ApplicationInsights.Extensibility.Web.RequestTracking.TelemetryModules.WebRequestTrackingTelemetryModule, Microsoft.ApplicationInsights.Extensibility.Web" />
<Add Type="Microsoft.ApplicationInsights.Extensibility.Web.RequestTracking.TelemetryModules.WebExceptionTrackingTelemetryModule, Microsoft.ApplicationInsights.Extensibility.Web" />
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<Add Type="Microsoft.ApplicationInsights.Extensibility.ComponentContextInitializer, Microsoft.ApplicationInsights" />
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<Add Type="Microsoft.ApplicationInsights.Extensibility.Web.TelemetryInitializers.WebOperationIdTelemetryInitializer, Microsoft.ApplicationInsights.Extensibility.Web" />
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Can you please let us know which documentation you're referring to? It does seem to be outdated.
Application Insights collects certain performance counters on its own; unfortunately, the list of performance counters is not configurable as of now. The syntax you're using
<PerformanceCounters>
<PerformanceCounterConfiguration counterSpecifier="\Memory\Page Faults/sec"/>
</PerformanceCounters>
is not supported.
Performance data will be collected automatically (no further configuration needed) as long as the following element is in your ApplicationInsights.config (and it is indeed present in your sample):
<Add Type="Microsoft.ApplicationInsights.Extensibility.PerfCollector.PerformanceCollectorModule,
Microsoft.ApplicationInsights.Extensibility.PerfCollector" />
Performance counters currently collected by Application Insights are:
\Process(<application process>)\% Processor Time
\Memory\Available MBytes
\ASP.NET Applications(<IIS process>)\Requests/Sec
\.NET CLR Exceptions(<application process>)\# of Exceps Thrown / sec
\ASP.NET Applications(<IIS process>)\Request Execution Time
\Process(<application process>)\Private Bytes
\Process(<application process>)\IO Data Bytes/sec
\ASP.NET Applications(<IIS process>)\Requests In Application Queue
\Processor(_Total)\% Processor Time
There are additional factors that may affect performance collection; this blog article contains a section detailing performance collection in Application Insights SDK:
http://blogs.msdn.com/b/visualstudioalm/archive/2014/12/11/updated-application-insights-status-monitor-to-support-12-and-later-application-insights-sdk.aspx
Please check out the section starting with the words "One of the changes made in the .12 version
of the Application
Insights for Web Applications SDK is the collection of the following Windows performance counters."
As you can see from the blog post, you are indeed looking in the right place in the portal (Metric Explorer under Performance Counters), but only the default counters will be collected.
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Optimal read write performance for data with duplicate keys

Hi,
I am constructing a database that will store data with duplicate keys.
For each key (a String) there will be multiple data objects, there is no upper limit to the number of data objects, but let's say there could be a million.
Data objects have a time-stamp (Long) field and a message (String) field.
At the moment I write these data objects into the database in chronological order, as i receive them, for any given key.
When I retrieve data for a key, and iterate across the duplicates for any given primary key using a cursor they are fetched in ascending chronological order.
What I would like to do is start fetching these records in reverse order, say just the last 10 records that were written to the database for a given key, and was wondering if anyone had some suggestions on the optimal way to do this.
I have considered writing data out in the order that i want to retrieve it, by supplying the database with a custom duplicate comparator. If I were to do this then the query above would return the latest data first, and I would be able to iterate over the most recent inserts quickly. but Is there a performance penalty paid on writing to the database if I do this?
I have also considered using the time-stamp field as the unique primary key for the primary database instead of the String, and creating a secondary database for the String, this would allow me to index into the data using a cursor join, but I'm not certain it would be any more performant, at least not on writing to the database, since it would result in a very flat b-tree.
Is there a fundamental choice that I will have to make between write versus read performance? Any suggestions on tackling this much appreciated.
Many Thanks,
Joel

Hi Joel,
Using a duplicate comparator will slow down Btree access (writes and reads) to
some degree because the comparator is called a lot during searching. But
whether this is a problem depends on whether your app is CPU bound and how much
CPU time your comparator uses. If you can avoid de-serializing the object in
the comparator, that will help. For example, if you keep the timestamp at the
beginning of the data and only read the one long timestamp field in your
comparator, that should be pretty fast.
Another approach is to store the negation of the timestamp so that records
are sorted naturally in reverse timestamp order.
Another approach is to read backwards using a cursor. This takes a couple
steps:
1) Find the last duplicate for the primary key you're interested in:
cursor.getSearchKey(keyOfInterest, ...)
status = cursor.getNextNoDup(...)
if (status == SUCCESS) {
      // Found the next primary key, now back up one record.
      status = cursor.getPrev(...)
} else {
      // This is the last primary key, find the last record.
      status = cursor.getLast(...)
}2) Scan backwards over the duplicates:
while (status == SUCCESS) {
      // Process one record
      // Move backwards
      status = cursor.getPrev(...)
}Finally another approach is to use a two-part primary key: {string,timestamp}.
Duplicates are not configured because every key is unique. I mention this
because using duplicates in JE has more overhead than using a unique primary
key. You can combine this with either of the above approaches -- using a
comparator, negating the timestamp, or scanning backwards.
--mark

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If the switch is new or you have support on this, then you might try calling the support center. Here is a link:
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On the right hand side you can find links to the support center.
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How to use the API for DATE, MONTH AND YEAR

I would like to use the java api in .util.calender in the java api to get the date.
How to implement the API for the "DATE","MONTH","YEAR" which are available provide by java?
can someone give me in one complete code?

From the Java Developers Almanac 1.4:
    Calendar cal = new GregorianCalendar();
    // Get the components of the date
    int era = cal.get(Calendar.ERA);               // 0=BC, 1=AD
    int year = cal.get(Calendar.YEAR);             // 2002
    int month = cal.get(Calendar.MONTH);           // 0=Jan, 1=Feb, ...
    int day = cal.get(Calendar.DAY_OF_MONTH);      // 1...
    int dayOfWeek = cal.get(Calendar.DAY_OF_WEEK); // 1=Sunday, 2=Monday, ...

Performance for full export database.

Hi,
Is it possibe to estimate or measure how much time needs to export the whole database?
Should I use the parameter "direct=y" to speed up the export process?
Thanks very much.
Frank

Hi,
I tried the export in the database server, but the error is encountered.
Is it because the user(system) is different from owner(ds_ap_dwh)?
Anyone can advise me? thanks alot.
Frank.
C:\>exp system/manager owner=ds_ap_dwh direct=y file=g:\oracle\export\ds_ap_dwh.d
mp log=g:\oracle\export\ds_ap_dwh.log
Export: Release 9.2.0.1.0 - Production on Tue May 29 23:48:36 2007
Copyright (c) 1982, 2002, Oracle Corporation. All rights reserved.
Connected to: Oracle9i Release 9.2.0.1.0 - Production
JServer Release 9.2.0.1.0 - Production
Export done in WE8MSWIN1252 character set and AL16UTF16 NCHAR character set
About to export specified users ...
. exporting pre-schema procedural objects and actions
. exporting foreign function library names for user DS_AP_DWH
. exporting PUBLIC type synonyms
. exporting private type synonyms
. exporting object type definitions for user DS_AP_DWH
About to export DS_AP_DWH's objects ...
. exporting database links
. exporting sequence numbers
. exporting cluster definitions
EXP-00056: ORACLE error 24324 encountered
ORA-24324: service handle not initialized
EXP-00056: ORACLE error 24324 encountered
ORA-24324: service handle not initialized
EXP-00000: Export terminated unsuccessfully

In general how is T series performance for data warehousing databases ~1 TB

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