Difference between JOIN and Subquery

HI all,
What is the difference between JOIN and Subquery?
Regards,
- Sri

JOIN is combining factor or two data sources.
Subquery is the resultant set of datasource(s) which can be joined/compared to other data source in your main query.

Similar Messages

Help me clarify: Difference between Joining and Extending Wireless Network

I've eventually figured out how to get my AirPort Express to allow my Mac Pro access to the internet Via Ethernet cable by joining an existing wireless network. What's the difference between that and extending it? By extending it I loose my ability to use the ethernet to connect to internet on my Mac Pro. Odd thing is though when I initially used AirPort Utility to set up my AirPort Express, I went through all the options to get it configured to access my existing network and I checked option to allow internet access through ethernet. All is well, but then I still don't have access to the internet through the ethernet and I noticed that the setting is on Extended. Just curious why it would give me the option to use the ethernet, set it on extended and not even work.

I've eventually figured out how to get my AirPort Express to allow my Mac Pro access to the internet Via Ethernet cable by joining an existing wireless network. What's the difference between that and extending it?
When "joining a network," the AirPort Express Base Station (AX) acts just like any other wireless client (laptop, desktop, printer, etc.) You would want to configure the AX to join a network when you only want to use it to share a USB printer and/or stream iTunes.
When "extending a network," the AX can perform as either a main, relay, or remote base station in a Wireless Distribution System (WDS). A WDS is primarily used to extend a network wirelessly.
By extending it I loose my ability to use the ethernet to connect to internet on my Mac Pro.
If the AX is configured as either a relay/remote base station in a WDS, you actually can use it's Ethernet port for Internet access. Of course, this relay/remote must be connected to a main base station, that itself, has Internet access.

Difference between "joining" and "extending"

Just added an airport express to my time capsule network. I realise that if I use the AEx to "extend" my network then the time capsule is relegated to 802.11b/g and not n.
Is the same true if I just "join" the AEx to the network and use it for iTunes and remote speakers?
Barry

Just added an airport express to my time capsule network. I realise that if I use the AEx to "extend" my network then the time capsule is relegated to 802.11b/g and not n.
Good news! That is not true. 802.11n offers the "extend" feature only between 802.11m base stations.
If you use WDS you get the same functionality but you are forced to 802.11g.
Is the same true if I just "join" the AEx to the network and use it for iTunes and remote speakers?
When the AirPort Express (AX) is configured to join a wireless network it simply acts as just another wireless client. Therefore if the network is using 802.11n the AX will communicate using 802.11n.

How to join three tables and practical difference between 10g and 11g

I want to know with example how to outer join three different tables in Oracle.
Also if you have any website or reference for understand syntax or performance difference between 10g and 11g then please paste a link in.thanks!!

Hi,
897293 wrote:
I want to know with example how to outer join three different tables in Oracle.The 3rd table comes into the result set the same way the 2nd one did:
FROM           table_1 t1
LEFT OUTER JOIN      table_2 t2 ON   ...
LEFT OUTER JOIN      table_3 t3 ON   ...The join condition(s) for t3 can reference t1, or t2, or both.
Also if you have any website or reference for understand syntax or performance difference between 10g and 11g then please paste a link in.thanks!!The main manuals all have "What's New" sections near the beginning. For example:
http://download.oracle.com/docs/cd/B28359_01/server.111/b28286/wnsql.htm#sthref5
Hoek,
We've missed you. Welcome back!

What is the difference between exists and in

hi all
if i have these queries
1- select ename from emp where ename in ( select ename from emp where empno=10)
and
2- select ename from emp where exists ( select ename from emp where empno=10)
what is the difference between exists and in is that only when i use in i have to bring the field name or what.... i mean in a complex SQL queries is it will give the same answer
Thanks

You get two entirely different result sets that may be the same. Haah! What do I mean by that.
SQL> select table_name from user_tables;
TABLE_NAME
BAR
FOO
2 rows selected.
SQL> select table_name from user_tables where table_name in (select table_name from user_tables where table_name = 'FOO');
TABLE_NAME
FOO
1 row selected.
SQL> select table_name from user_tables where exists(select table_name from user_tables where table_name = 'FOO');
TABLE_NAME
BAR
FOO
2 rows selected.So, why is this? the WHERE EXISTS means 'if the next is true', much like where 1=1 being always true and 1=2 being always false. In this case, where exists could be TRUE or FALSE, depending on the subquery.
WHERE EXISTS can be useful for something like testing if we have data, without actually having to return columns.
So, if you want to see if an employee exists you might say
SELECT 1 FROM DUAL WHERE EXISTS( select * from emp where empid = 10);
If there is a row in emp for empid=10, then you get back 1 from dual;
This is what I call an 'optimistic' lookup because the WHERE EXISTS ends as soon as there is a hit. It does not care how many - only that at least one exists. It is optimistic because it will continue processing the table lookup until either it hits or reaches the end of the table - for a non-indexed query.

Difference between CHAR and VARCHAR2 datatype

Difference between CHAR and VARCHAR2 datatype
CHAR datatype
If you have an employee name column with size 10; ename CHAR(10) and If a column value 'JOHN' is inserted, 6 empty spaces will be inserted to the right of the value. If this was a VARCHAR column; ename VARCHAR2(10). How would it handle the column value 'JOHN' ?

The CHAR datatype stores fixed-length character strings, and Oracle compares CHAR values using blank-padded comparison semantics.
Where as the VARCHAR2 datatype stores variable-length character strings, and Oracle compares VARCHAR2 values using nonpadded comparison semantics.
This is important when comparing or joining on the columns having these datatypes;
SQL*Plus: Release 10.2.0.1.0 - Production on Pzt Au 6 09:16:45 2007
Copyright (c) 1982, 2005, Oracle. All rights reserved.
SQL> conn hr/hr
Connected.
SQL> set serveroutput on
SQL> DECLARE
2 last_name1 VARCHAR2(10) := 'TONGUC';
3 last_name2 CHAR(10) := 'TONGUC';
4 BEGIN
5 IF last_name1 = last_name2 THEN
6 DBMS_OUTPUT.PUT_LINE ( '-' || last_name1 || '- is equal to -' || last_name2
|| '-');
7 ELSE
8 DBMS_OUTPUT.PUT_LINE ( '-' || last_name1 || '- is NOT equal to -' || last_n
ame2 || '-');
9 END IF;
10 END;
11 /
-TONGUC- is NOT equal to -TONGUC -
PL/SQL procedure successfully completed.
SQL> DECLARE
2 last_name1 CHAR(6) := 'TONGUC';
3 last_name2 CHAR(10) := 'TONGUC';
4 BEGIN
5 IF last_name1 = last_name2 THEN
6 DBMS_OUTPUT.PUT_LINE ( '-' || last_name1 || '- is equal to -' || last_name2
|| '-');
7 ELSE
8 DBMS_OUTPUT.PUT_LINE ( '-' || last_name1 || '- is NOT equal to -' || last_n
ame2 || '-');
9 END IF;
10 END;
11 /
-TONGUC- is equal to -TONGUC -
PL/SQL procedure successfully completed.
Also you may want to read related asktom thread - "Char Vs Varchar" http://asktom.oracle.com/pls/asktom/f?p=100:11:0::::P11_QUESTION_ID:1542606219593
and http://tahitiviews.blogspot.com/2007/05/less-is-more-more-or-less.html
Best regards.

T-Code for reporting stock quantity difference between IM and WM

Hi All
I'm probably going to kick myself for asking this quastion but is there a report to show the stock quantity differences between IM and WM?
I have searched the forum first but cannot find info.
We have various differences in IM and WM shown in MD04 and LS26. This is usually the result of an unplanned plant to plant transfer not being recipted in at the destination plant.
If no standard T-code is available, which tables can I join to create my own query?
Thanks in advance
Darren

compare MMBE with LS26
Make sure you dont enter a storage location and storage type in selection screen of LS26.
if you post a difference with LI20, then you have just posted a difference within WM, means you moved a quantity from a bin into the difference storate type 998. The balance of both is still equal to your stock shown in MMBE. You have to clear the difference with IM by executing LI21 transaction. Only then the quantity will disappear from difference storage type and will be adjusted in MM and FI.
LX23 will only report real inconstencies and will adjust them.
If you do a MM movement like 303, then this creates a transfer request in WM, this TR needs to be converted into a TO. to move the stock from the bin to the interim storage type for goods issue.
In your case you created just a negative quant in the interim storage type for goods issue and still have a positive quant in the bin, the balance is equal to the stock shown in MMBE.

What's the Difference Between OLAP and OLTP?

HI,
What's the difference between OLAP and OLTP ? and which one is Best?
-Arun.M.D

Hi,
The big difference when designing for OLAP versus OLTP is rooted in the basics of how the tables are going to be used. I'll discuss OLTP versus OLAP in context to the design of dimensional data warehouses. However, keep in mind there are more architectural components that make up a mature, best practices data warehouse than just the dimensional data warehouse.
Corporate Information Factory, 2nd Edition by W. H. Inmon, Claudia Imhoff, Ryan Sousa
Building the Data Warehouse, 2nd Edition by W. H. Inmon
With OLTP, the tables are designed to facilitate fast inserting, updating and deleting rows of information with each logical unit of work. The database design is highly normalized. Usually and at least to 3NF. Each logical unit of work in an online application will have a relatively small scope with regard to the number of tables that are referenced and/or updated. Also the online application itself handles the majority of the work for joining data to facilitate the screen functions. This means the user doesn't have to worry about traversing across large data relationship paths. A heavy dose of lookup/reference tables and much focus on referential integrity between foreign keys. The physical design of the database needs to take into considerations the need for inserting rows when deciding on physical space settings. A good book for getting a solid base understanding of modeling for OLTP is The Data Modeling Handbook: A Best-Practice Approach to Building Quality Data Models by Michael C. Reingruber, William W. Gregory.
Example: Let's say we have a purchase oder management system. We need to be able to take orders for our customers, and we need to be able to sell many items on each order. We need to capture the store that sold the item, the customer that bought the item (and where we need to ship things and where to bill) and we need to make sure that we pull from the valid store_items to get the correct item number, description and price. Our OLTP data model will contain a CUSTOMER_MASTER, A CUSTOMER_ADDRESS_MASTER, A STORE_MASTER, AN ITEM_MASTER, AN ITEM_PRICE_MASTER, A PURCHASE_ORDER_MASTER AND A PURCHASE_ORDER_LINE_ITEM table. Then we might have a series of M:M relationships for example. An ITEM might have a different price for specific time periods for specific stores.
With OLAP, the tables are designed to facilitate easy access to information. Today's OLAP tools make the job of developing a query very easy. However, you still want to minimize the extensiveness of the relational model in an OLAP application. Users don't have the wills and means to learn how to work through a complex maze of table relationships. So you'll design your tables with a high degree of denormalization. The most prevalent design scheme for OLAP is the Star-Schema, popularized by Ralph Kimball. The star schema has a FACT table that contains the elements of data that are used arithmatically (counting, summing, averaging, etc.) The FACT Table is surrounded by lookup tables called Dimensions. Each Dimension table provides a reference to those things that you want to analyze by. A good book to understand how to design OLAP solutions is The Data Warehouse Toolkit: Practical Techniques for Building Dimensional Data Warehouses by Ralph Kimball.
Example: let's say we want to see some key measures about purchases. We want to know how many items and the sales amount that are purchased by what kind of customer across which stores. The FACT table will contain a column for Qty-purchased and Purchase Amount. The DIMENSION tables will include the ITEM_DESC (contains the item_id & Description), the CUSTOMER_TYPE, the STORE (Store_id & store name), and TIME (contains calendar information such as the date, the month_end_date, quarter_end_date, day_of_week, etc).
Database Fundamentals > Data Warehousing and Business Intelligence with Mike Lampa
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Difference between RP_PROVIDE_FROM_LAST and RP-PROVIDE-FROM-LAST

Can anyone tell me the difference between RP_PROVIDE_FROM_LAST and RP-PROVIDE-FROM-LAST? Both the macros are same difference is with underscore(_) and hiphen(-). Both are working fine for the functionality without any difference. Then why there are two macros for a single functionality?

Just providing the links are considered as link farming ( which are against the rules of the forums ), the links would be removed for the following reasons:
1) If a link is provided( not many ) , then you must point out the explanation in it
2) If the links were easily searchable by the OP
3) If the links just direct you to sap documentation
4) If the reply consists only bunch of link references.
I think the 3rd & 4th point made your post to be deleted.
There are no links which states the differences between these two Macro's. Mod's are doing their right job, please join them and make this forum clean
Kesav

How to tune the query and difference between CBO AND RBO.. Which is good

Hello Friends,
Here are some questions I have pls reply back with complete description and url if any ..
1)How Did you tune Query,
2)What approach you take to tune query? Do you use Hints?
3)Where did you tune the query and what are the issue with query?
4)What is difference between RBO and CBO? where u use RBO and CBO.
5)Give some information about hash join?
6) Using explain plan how do u know where the bottle neck in query .. how u will identify where the bottle neck is from explain plan .
thanks/Kumar

Hi,
kumar73 wrote:
Hello Friends,
Here are some questions I have pls reply back with complete description and url if any ..
1)How Did you tune Query, Use EXPLAIN PLAN to see exactly where it is spending its time, and address those areas.
See the forum FAQ
SQL and PL/SQL FAQ
"3. How to improve the performance of my query?"
2)What approach you take to tune query? Do you use Hints?Hints can help.
Even more helpful is writing the SQL efficiently (avoiding multiple scans of the same table, filtering early, using built-in rather than user-defined functions, ...), creating and using indexes, and, for large tables, partitioning.
Table design can have a big impact on performace.
Look for ways to do part of what you need before the query. This includes denormalizing (when appropriate), the kind of pre-digesting that often takes place in data warehouses, function-based indexes, and, starting in Oracle 11, virtual columns.
3)Where did you tune the query and what are the issue with query?Either this question is a vague summary of the entire thread, or I don't understand it. Can you re-phrase this part?
4)What is difference between RBO and CBO? where u use RBO and CBO.Basically, use RBO if you have Oracle 7 or earlier.

Whats the difference between ALL and FIRST in Multi Inserting

SQL> Drop Table Sales;
Table dropped.
SQL> Drop Table Accounts;
Table dropped.
SQL> Drop Table Research;
Table dropped.
SQL> Create Table Sales As Select * From Emp;
Table created.
SQL> Create Table Accounts As Select * From Emp;
Table created.
SQL> Create Table Research As Select * From Emp;
Table created.
SQL> Truncate Table Sales;
Table truncated.
SQL> Truncate Table Accounts;
Table truncated.
SQL> Truncate Table Research;
Table truncated.
SQL> Select * From Sales;
no rows selected
SQL> Select * From Accounts;
no rows selected
SQL> Select * From Research;
no rows selected
SQL> Insert All
2 When Deptno=10 Then
3 Into Sales (Empno,Ename,Job,Mgr,Hiredate,Sal,Comm,DeptNo)
4 When Deptno=20 Then
5 Into Accounts (Empno,Ename,Job,Mgr,Hiredate,Sal,Comm,DeptNo)
6 When Deptno=30 Then
7 Into Research (Empno,Ename,Job,Mgr,Hiredate,Sal,Comm,DeptNo)
8 Select * From Emp
9 .
SQL> /
16 rows created.
SQL> Select * From Sales;
    EMPNO ENAME      JOB             MGR HIREDATE        SAL      COMM    DEPTNO
     7782 CLARK      MANAGER        7839 09-JUN-81       100                  10
     7839 KING       PRESIDENT           17-NOV-81       100                  10
     7934 MILLER     CLERK          7782 23-JAN-82       100                  10
     7999 ABCDEFGH   JOB            7839 09-FEB-06       100         0        10
4 rows selected.
SQL> Select * From Accounts;
    EMPNO ENAME      JOB             MGR HIREDATE        SAL      COMM    DEPTNO
     7901 SMITH      CLERK          7902 17-DEC-80       100                  20
     7566 JONES      MANAGER        7839 02-APR-81       100                  20
     7788 SCOTT      ANALYST        7566 19-APR-87       100                  20
     7876 ADAMS      CLERK          7788 23-MAY-87       100                  20
     7902 FORD       ANALYST        7566 03-DEC-81       100                  20
      123                                                                     20
6 rows selected.
SQL> Select * From Research;
    EMPNO ENAME      JOB             MGR HIREDATE        SAL      COMM    DEPTNO
     7499 ALLEN      SALESMAN       7698 20-FEB-81       100       300        30
     7521 WARD       SALESMAN       7698 22-FEB-81       100       500        30
     7654 MARTIN     SALESMAN       7698 28-SEP-81       100      1400        30
     7698 BLAKE      MANAGER        7839 01-MAY-81       100                  30
     7844 TURNER     SALESMAN       7698 08-SEP-81       100         0        30
     7900 JAMES      MANAGER        7698 03-DEC-81       100                  30
6 rows selected.
SQL> Truncate Table Sales;
Table truncated.
SQL> Truncate Table Accounts;
Table truncated.
SQL> Truncate Table Research;
Table truncated.
SQL> Insert First
2 When Deptno=10 Then
3 Into Sales (Empno,Ename,Job,Mgr,Hiredate,Sal,Comm,DeptNo)
4 When Deptno=20 Then
5 Into Accounts (Empno,Ename,Job,Mgr,Hiredate,Sal,Comm,DeptNo)
6 When Deptno=30 Then
7 Into Research (Empno,Ename,Job,Mgr,Hiredate,Sal,Comm,DeptNo)
8 Select * From Emp
9 /
16 rows created.
SQL> Select * From Sales;
    EMPNO ENAME      JOB             MGR HIREDATE        SAL      COMM    DEPTNO
     7782 CLARK      MANAGER        7839 09-JUN-81       100                  10
     7839 KING       PRESIDENT           17-NOV-81       100                  10
     7934 MILLER     CLERK          7782 23-JAN-82       100                  10
     7999 ABCDEFGH   JOB            7839 09-FEB-06       100         0        10
4 rows selected.
SQL> Select * From Accounts;
    EMPNO ENAME      JOB             MGR HIREDATE        SAL      COMM    DEPTNO
     7901 SMITH      CLERK          7902 17-DEC-80       100                  20
     7566 JONES      MANAGER        7839 02-APR-81       100                  20
     7788 SCOTT      ANALYST        7566 19-APR-87       100                  20
     7876 ADAMS      CLERK          7788 23-MAY-87       100                  20
     7902 FORD       ANALYST        7566 03-DEC-81       100                  20
      123                                                                     20
6 rows selected.
SQL> Select * From Research;
    EMPNO ENAME      JOB             MGR HIREDATE        SAL      COMM    DEPTNO
     7499 ALLEN      SALESMAN       7698 20-FEB-81       100       300        30
     7521 WARD       SALESMAN       7698 22-FEB-81       100       500        30
     7654 MARTIN     SALESMAN       7698 28-SEP-81       100      1400        30
     7698 BLAKE      MANAGER        7839 01-MAY-81       100                  30
     7844 TURNER     SALESMAN       7698 08-SEP-81       100         0        30
     7900 JAMES      MANAGER        7698 03-DEC-81       100                  30
6 rows selected.Both inserting insert the same records then whats the difference between ALL and FIRST clause in multi insert DML
Khurram Siddiqui
[email protected]

Hello
From the docs:
ALL
If you specify ALL, then Oracle evaluates each WHEN clause regardless of the results of the evaluation of any other WHEN clause. For each WHEN clause whose condition evaluates to true, Oracle executes the corresponding INTO clause list.
FIRST
If you specify FIRST, then Oracle evaluates each WHEN clause in the order in which it appears in the statement. For the first WHEN clause that evaluates to true, Oracle executes the corresponding INTO clause and skips subsequent WHEN clauses for the given row.
ELSE clause
For a given row, if no WHEN clause evaluates to true:
* If you have specified an ELSE clause, then Oracle executes the INTO clause list associated with the ELSE clause.
* If you did not specify an else clause, then Oracle takes no action for that row.
See Also:
"Multitable Inserts: Examples"
Restrictions on Multitable Inserts
* You can perform multitable inserts only on tables, not on views or materialized views.
* You cannot perform a multitable insert into a remote table.
* You cannot specify a table collection expression when performing a multitable insert.
* In a multitable insert, all of the insert_into_clauses cannot combine to specify more than 999 target columns.
* Multitable inserts are not parallelized in a Real Application Clusters environment, or if any target table is index organized, or if any target table has a bitmap index defined on it.
* Plan stability is not supported for multitable insert statements.
* The subquery of the multitable insert statement cannot use a sequence.
So given this the following example shows the difference:
SQL> CREATE TABLE dt_test_insert_base as select rownum id from dba_objects where rownum <=20
2 /
Table created.
SQL> CREATE TABLE dt_test_insert_1 (id number)
2 /
Table created.
SQL> CREATE TABLE dt_test_insert_2 (id number)
2 /
Table created.
SQL>
SQL> INSERT ALL
2     WHEN rownum <=15 THEN
3             INTO dt_test_insert_1 (id)
4     WHEN rownum >=10 THEN
5             INTO dt_test_insert_2 (id)
6 SELECT
7     ID
8 FROM
9     dt_test_insert_base
10 /
26 rows created.
SQL>
SQL> SELECT * from dt_test_insert_1
2 /
        ID
         1
         2
         3
         4
         5
         6
         7
         8
         9
        10
        11
        12
        13
        14
        15
15 rows selected.
SQL> SELECT * from dt_test_insert_2
2 /
        ID
        10
        11
        12
        13
        14
        15
        16
        17
        18
        19
        20
11 rows selected.
SQL>
SQL> TRUNCATE TABLE dt_test_insert_1
2 /
Table truncated.
SQL> TRUNCATE TABLE dt_test_insert_2
2 /
Table truncated.
SQL>
SQL> INSERT FIRST
2     WHEN rownum <=15 THEN
3             INTO dt_test_insert_1 (id)
4     WHEN rownum >=10 THEN --This condition is ignored until the value of id is > 15
5             INTO dt_test_insert_2 (id)
6 SELECT
7     ID
8 FROM
9     dt_test_insert_base
10 /
20 rows created.
SQL> SELECT * from dt_test_insert_1
2 /
        ID
         1
         2
         3
         4
         5
         6
         7
         8
         9
        10
        11
        12
        13
        14
        15
15 rows selected.
SQL> SELECT * from dt_test_insert_2
2 /
        ID
        16
        17
        18
        19
        20HTH
David

Difference between Infoset and Infocube?

Hi All,
Difference between Infoset and Infocube?
Please suggest on this .
Thanks & Regards
Sameer Khan

Hi,
In infoset we can join Infocubes,DSOs,Mater data table.It works on join codition.
For ex: I want to generate a report with cobination of MM and SD field.which are available in my MM amd SD cubes.So that i'll creat a infoset and join these two cubes.Then i can ablle gerenat a required report.But here codition is that 'One common field is must in both cubes' then only it works.
Infocube is a MDM model.
see these links
http://help.sap.com/saphelp_nw04s/helpdata/en/ed/084e3ce0f9fe3fe10000000a114084/frameset.htm
https://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/2f5aa43f-0c01-0010-a990-9641d3d4eef7
http://help.sap.com/saphelp_nw04/helpdata/en/9c/6b7538c9a8ee45e10000009b38f8cf/frameset.htm
assigning points is saying thanks in SDN
thanks...........

What is the difference between OEE and OSE

What is the difference b/w
Oracle8i Enterprise Edition and Oracle8i Standard Edition?
Which version I choose to install the Oracle Server?

The real difference between one and the another one are the options installed in the database. I have a document where you can see in detail what options have one and what options have the another one.
Which version I choose to install the Oracle Server?
r.- That is quite related to what options you need for your applications. Options like : partitioning, etc.
With this view you can see what options are available in your database.
SQL> select * from v$option;
PARAMETER VALUE
Partitioning TRUE
Objects TRUE
Real Application Clusters FALSE
Advanced replication TRUE
Bit-mapped indexes TRUE
Connection multiplexing TRUE
Connection pooling TRUE
Database queuing TRUE
Incremental backup and recover TRUE
y
PARAMETER VALUE
Instead-of triggers TRUE
Parallel backup and recovery TRUE
Parallel execution TRUE
Parallel load TRUE
Point-in-time tablespace recov TRUE
ery
Fine-grained access control TRUE
Proxy authentication/authoriza TRUE
tion
PARAMETER VALUE
Change Data Capture TRUE
Plan Stability TRUE
Online Index Build TRUE
Coalesce Index TRUE
Managed Standby TRUE
Materialized view rewrite TRUE
Materialized view warehouse re TRUE
fresh
Database resource manager TRUE
Spatial TRUE
PARAMETER VALUE
Visual Information Retrieval TRUE
Export transportable tablespac TRUE
es
Transparent Application Failov TRUE
er
Fast-Start Fault Recovery TRUE
Sample Scan TRUE
Duplexed backups TRUE
Java TRUE
PARAMETER VALUE
OLAP Window Functions TRUE
Block Media Recovery TRUE
Fine-grained Auditing TRUE
Application Role TRUE
Enterprise User Security TRUE
Oracle Data Guard TRUE
Oracle Label Security FALSE
OLAP TRUE
Heap segment compression TRUE
Join index TRUE
Trial Recovery TRUE
PARAMETER VALUE
Oracle Data Mining TRUE
Online Redefinition TRUE
Streams TRUE
Very Large Memory TRUE
File Mapping TRUE
48 rows selected.
SQL>
Joel P�rez

Difference between "extend" and participate"?

I have two Airport Extremes and a Time Capsule. One Extreme is in my home office, which is in the basement at the far corner of an "L" shaped house. The TC sits upstairs, midway through the house, and the other Extreme is at the distant end of the house (with an Apple TV plugged into it). Set up this way, I get good signals for laptops etc. throughout the house.
I just noticed in checking in Airport Utility that the Time Capsule is set up to join a wireless network and the distant Extreme is set up to extend a wireless network. (The Extreme in my office is set up to allow the network to be extended.) I guess I'm not sure what the difference is between joining and extending, and whether this setup is optimal or not. Any thoughts? Thanks.

+In my old setup, there was an option to simply "join" the network, which I guess is really all I want to do. Not sure it makes a difference in reality, but I'm wondering why that option is no longer there. Any idea?+
If you hold down the "option" key on your computer, you may see the "join" option. But, "join" on an AirPort Extreme really does nothing useful. I'm not sure it even works, but even if it did, the ethernet ports are not active in this setting and the device will not "extend a wireless network" in the "join" setting. I can't think of a reason why anyone would want to use this setting. My guess is that is why Apple "hid" the "join" setting.
+(As an aside, I am assuming that these new dual-band Airport Extremes have solved the issue of "g" devices slowing down the network when they join... I assume that is the point of the dual-band gear.... am I correct?)+
Yes, this is correct. Faster devices work on one band and slower on another and the slower devices do not slow down the faster devices.

What is the difference between lap and oltp

HI experts, I want to know the difference between OLAP and OLTP and why OLTP cannot be used in bw instead of OLAP? Need realtime anwsers please!!!!!!!!!!

hi navin...
Online transactional processing (OLTP) is designed to efficiently process high volumes of transactions, instantly recording business events (such as a sales invoice payment) and reflecting changes as they occur.
Online analytical processing (OLAP) is designed for analysis and decision support, allowing exploration of often hidden relationships in large amounts of data by providing unlimited views of multiple relationships at any cross-section of defined business dimensions.
OLTP databases are typically input sources for data warehouses or data marts. The data warehouse in turn is the typical source of data for an OLAP database. The value in an OLAP database is that many complex calculations and predefined queries are preprocessed and results are stored and are available via an OLAP exploitation application allowing quick access to cross-sections of business data. Rapid access to the aggregate information across defined business dimensions allows quick navigation and understanding of relationships.
The challenge is to find a solution that will both supply the necessary functionality while addressing the technical considerations of your organization. Some other important considerations include choosing technologies that can leverage existing investments in both hardware and software, and are open and integrated so that your applications are adaptable. This ensures flexibility and agility to meet future business demands.
There are several different modeling techniques. Snowflake and star schemas are just two of many choices. Deciding the best approach for your situation will depend on several factors, most importantly understanding the business issue, the users and their information needs. There is a wealth of information available, including courses, texts and guidelines on this subject alone
OLAP systems organize data in a multidimensional model that is suitable for decision support. OLAP is the analytical counterpart of OLTP, or Online Transactional Processing. SAP's BW is an OLAP system
The Impact of the OLAP/OLTP Cultural Conflict on Data Warehousing....check this link....
http://www.georgetown.edu/users/allanr/Impact.pdf
also check...
http://expertanswercenter.techtarget.com/eac/knowledgebaseAnswer/0,295199,sid63_gci977813,00.html
The big difference when designing for OLAP versus OLTP is rooted in the basics of how the tables are going to be used. I'll discuss OLTP versus OLAP in context to the design of dimensional data warehouses. However, keep in mind there are more architectural components that make up a mature, best practices data warehouse than just the dimensional data warehouse.
Corporate Information Factory, 2nd Edition by W. H. Inmon, Claudia Imhoff, Ryan Sousa
Building the Data Warehouse, 2nd Edition by W. H. Inmon
With OLTP, the tables are designed to facilitate fast inserting, updating and deleting rows of information with each logical unit of work. The database design is highly normalized. Usually and at least to 3NF. Each logical unit of work in an online application will have a relatively small scope with regard to the number of tables that are referenced and/or updated. Also the online application itself handles the majority of the work for joining data to facilitate the screen functions. This means the user doesn't have to worry about traversing across large data relationship paths. A heavy dose of lookup/reference tables and much focus on referential integrity between foreign keys. The physical design of the database needs to take into considerations the need for inserting rows when deciding on physical space settings. A good book for getting a solid base understanding of modeling for OLTP is The Data Modeling Handbook: A Best-Practice Approach to Building Quality Data Models by Michael C. Reingruber, William W. Gregory.
Example: Let's say we have a purchase oder management system. We need to be able to take orders for our customers, and we need to be able to sell many items on each order. We need to capture the store that sold the item, the customer that bought the item (and where we need to ship things and where to bill) and we need to make sure that we pull from the valid store_items to get the correct item number, description and price. Our OLTP data model will contain a CUSTOMER_MASTER, A CUSTOMER_ADDRESS_MASTER, A STORE_MASTER, AN ITEM_MASTER, AN ITEM_PRICE_MASTER, A PURCHASE_ORDER_MASTER AND A PURCHASE_ORDER_LINE_ITEM table. Then we might have a series of M:M relationships for example. An ITEM might have a different price for specific time periods for specific stores.
With OLAP, the tables are designed to facilitate easy access to information. Today's OLAP tools make the job of developing a query very easy. However, you still want to minimize the extensiveness of the relational model in an OLAP application. Users don't have the wills and means to learn how to work through a complex maze of table relationships. So you'll design your tables with a high degree of denormalization. The most prevalent design scheme for OLAP is the Star-Schema, popularized by Ralph Kimball. The star schema has a FACT table that contains the elements of data that are used arithmatically (counting, summing, averaging, etc.) The FACT Table is surrounded by lookup tables called Dimensions. Each Dimension table provides a reference to those things that you want to analyze by. A good book to understand how to design OLAP solutions is The Data Warehouse Toolkit: Practical Techniques for Building Dimensional Data Warehouses by Ralph Kimball.
Example: let's say we want to see some key measures about purchases. We want to know how many items and the sales amount that are purchased by what kind of customer across which stores. The FACT table will contain a column for Qty-purchased and Purchase Amount. The DIMENSION tables will include the ITEM_DESC (contains the item_id & Description), the CUSTOMER_TYPE, the STORE (Store_id & store name), and TIME (contains calendar information such as the date, the month_end_date, quarter_end_date, day_of_week, etc).
Database Fundamentals > Data Warehousing and Business Intelligence with Mike Lampa
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hope it helps...

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