Where is the association between applications and Spaces screen configured in Mountain Lion?

Where is the assocation between Applications and Spaces screen configured in Mountain Lion?
In 10.6, I had FileMaker come up in Space 2, and it still does in 10.8 but I don't know how to change it.
Anyone know?

Right-click the icon in Dock and select Options

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I hope this document helps you to clarify your doubts about the RSE and differential connection.
Field Wiring and Noise Considerations for Analog Signals.
http://www.ni.com/white-paper/3344/en/

What is the newest GTS/GRC Release? Where is the difference between GRC/GTS

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Hi there, I pay for extra iCloud space online. However I cannot seem to find any of my photos or account? As my iPod/iPhone only hold 1000 pictures, where are the previous pictures? And how can I access them?

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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
Search Advice from more than 250 TechTarget Experts
Your question may have already been answered! Browse or search more than 25,000 question and answer pairs from more than 250 TechTarget industry experts.

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

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
Search Advice from more than 250 TechTarget Experts
Your question may have already been answered! Browse or search more than 25,000 question and answer pairs from more than 250 TechTarget industry experts.
hope it helps...

What is the diffrence between BAPI and RFC and business object

Hi Experts,
Can anybody tel me what is the diffrence between RFC and BAPI , and also what is ther relation with business object?
Thanx in advance.
Nilesh Hiwale

Hi,
BAPI's are associated with Business Objects and also they are RFC enabled.
But RFC's are the FM's which can be called from external systems, those FM's can be used in many places based on the applications..
Check these Links
whats the difference between BAPI and RFC??
Diff. Between BAPI and RFC
Regards
Kiran

What's the difference between jsp and jsf?

who can tell me what's the difference between jsp and jsf?
I'm puzzled when I found some of the technology in jsp is so similar to the ones in jsp( javaserver page)

Hi,
Find the difference between JSP and JSF
1. A developer has more control with JSP, but (should) get easier development with JSF
2. Event handling is done differently in JSP (HTTP) and JSF (Java)
3. The UI is designed differently (or should be at least) with JSP (markup) and JSF (components).
4. The end product should also be defined differently - JSP page versus a JSF application.
Is this the only thing that is need to make a decision for either or? Probably not. There are other pieces that need to be taken in account when deciding which technology to use - tools support, enough components, type of application etc.... At this point there are not enough JSF components (although there are some interesting projects underway - Ajaxfaces, Myfaces, ADF Faces, and WebChart 3d) and enterprise tools support is still limited to a few tools vendor. Looking at our ADF Faces components they are currently available as early access (not production) and demands for these components are stacking up, literally, outside my office doorstep. Although I would love to make them production - now! - it is not a viable solution since we are still checking features and fixing critical bugs.
All this combined - not enough enterprise level components in production, lacking tools support etc... - leave customers in a vacuum where the decision is either to continue with JSP, since it is mature and has a wide developer base, or move forward with JSF not sure if the support, or the developers will be there. This is particularly sensitive to customers that need to get started now and be production by summer.
If you are in this vacuum here are some key points promoting JSF:
1. Fundamental unit is the Component
2. Built in event and state management
3. Component sets can be provided by any vendor
4. Closer to ASP.Net or Swing development
5. Choice of UI technology
6. Scale up (rich clients)
7. Scale down (mobile devices)
8. Built into J2EE containers in J2EE 5.0 (tentative)

The Relation between tables and views in oracle financial

Dears
I am work in oracle e business r12
and i need to build report as xml
when run my select its need big time to view data i have a huge of data so i need to clear the relation of this tables if there is miss and if there another technique in select statement
this is my select statement
select
j_hdr.je_header_id je_header_id,
hdr.VENDOR_NAME supplier,
SEGMENT1||'-'||SEGMENT2||'-'||SEGMENT3||'-'||SEGMENT4||'-'||SEGMENT5||'-'||SEGMENT6||'-'||SEGMENT7||'-'||SEGMENT8||'-'||SEGMENT9 Account_number,
hdr.gl_date gl_date,
j_hdr.CURRENCY_CODE CURRENCY_CODE,
inv_lin.DESCRIPTION DESCRIPTION,
j_lin.ENTERED_DR ENTERED_DR,
j_lin.ENTERED_CR ENTERED_CR,
j_lin.ACCOUNTED_DR ACCOUNTED_DR,
j_lin.ACCOUNTED_CR ACCOUNTED_CR,
j_hdr.JE_SOURCE JE_SOURCE,
j_hdr.DEFAULT_EFFECTIVE_DATE Transaction_DATE,
hdr.INVOICE_NUM INVOICE_NUM,
QUICK_PO_NUMBER PO_NUMBER,
null ASSET_CATEGORY_ID,
hdr.VENDOR_ID VENDOR_ID
from gl_je_headers j_hdr,gl_je_lines_v j_lin,ap_invoice_distributions dist,ap_invoices_v hdr,ap_invoice_lines_v inv_lin
where code_combination_id = DIST_CODE_COMBINATION_ID
and hdr.invoice_id = inv_lin.INVOICE_ID
and dist.invoice_id = inv_lin.INVOICE_ID
and j_hdr.JE_HEADER_ID = j_lin.JE_HEADER_ID
and j_hdr.status = 'P'
and nvl(:P_SOURCE,'Payables') = 'Payables'
and je_source = 'Payables'
and j_lin.CODE_COMBINATION_ID between ( select CODE_COMBINATION_ID
from gl_code_combinations_kfv
where CONCATENATED_SEGMENTS = :P_FROM_COMBINATION_CODE)
and ( select CODE_COMBINATION_ID
from gl_code_combinations_kfv
where CONCATENATED_SEGMENTS = :P_TO_COMBINATION_CODE)
AND TRUNC(dEFAULT_EFFECTIVE_DATE) BETWEEN NVL(:P_FROM_DATE, DEFAULT_EFFECTIVE_DATE) AND NVL(:P_to_DATE, DEFAULT_EFFECTIVE_DATE)
Thanks in advance

Welcome to the world of complicated Oracle Application queries. Didn't fully understand your question, so a few guesses -
I think that you are asking how to make your query faster? I would reference the FAQ section on how to post a question regarding performance.
Your title indicates you want to understand the relationship between tables and views. In general, Oracle Applications uses views for 2 reasons - to join data from multiple tables for display, and to differentiate data from different organizations. (I am still on 11i and have heard organizations are handled differently in 12 so I can't speak to that for sure).
To understand the relationship between tables in a view, you can access the view's source code, either through a development tool such as PL/SQL Developer or TOAD (I'm guessing Oracle's tool does this also, but have never used it), or by querying the source from the dba_source table.
select * from dba_source where name = (name of view) and type = 'VIEW' order by line;without the ( ) just the view name, in all capital letters i.e. , 'GL_JE_LINES_V'
Good luck!

What is the difference between ABAP and HR-ABAP?

Hi people,
Could u just tel me abt what is the difference between ABAP and HR-ABAP?
Thanks in advance,
Sanjeev K.V

Hi Sir ,
Please have a look below .Hope it is suitable and simpler solution for your question.
Please do reward if useful.
Thankx.
HR deals with the INFOTYPES which are similar to Tables in General ABAP.
There are different ways of fetching data from these infotypes.
There are different areas in HR LIKE Personal Admn, Orgn Management, Benefits, Time amangement, Event Management, Payroll etc
Infotypes for these areas are different from one another area.
storing of records data in each type of area is different
LDBS like PNP are used in HR programing.
Instead of Select.. we use some ROUTINES and PROVIDE..ENDPROVIDE.. etc
and in the case of Pay roll we use Clusters and we Import and Export them for data fetching.
On the whole Normal ABAP is different from HR abap.
Also,
HR:
HR deals with the INFOTYPES which are similar to Tables in General ABAP.
There are different ways of fetching data from these infotypes.
There are different areas in HR LIKE Personal Admn, Orgn Management, Benefits, Time amangement, Event Management, Payroll etc
Infotypes for these areas are different from one another area.
storing of records data in each type of area is different
LDBS like PNP are used in HR programing.
Instead of Select.. we use some ROUTINES and PROVIDE..ENDPROVIDE.. etc
and in the case of Pay roll we use Clusters and we Import and Export them for data fetching.
On the whole Normal ABAP is different from HR abap.
For Personal Admn the Infotypes start with PA0000 to PA1999
Time Related Infotypes start with PA2000 to PA2999.
Orgn related Infotypes start with HRP1000 to HRP1999.
All custom developed infotypes stsrat with PA9000 onwards.
In payroll processing we use Clusters like PCL1,2,3 and 4.
Instead of Select query we use PROVIDE and ENDPROVIDE..
You have to assign a Logical Database in the attributes PNP.
Go through the SAp doc for HR programming and start doing.
http://www.sapdevelopment.co.uk/hr/hrhome.htm
See:
http://help.sap.com/saphelp_46c/helpdata/en/4f/d5268a575e11d189270000e8322f96/content.htm
sites regarding hr-abap:
http://www.sapdevelopment.co.uk/hr/hrhome.htm
http://help.sap.com/printdocu/core/Print46c/en/data/pdf/PAPA/PAPA.pdf
http://help.sap.com/printdocu/core/Print46c/en/data/pdf/PAPD/PAPD.pdf
http://help.sap.com/printdocu/core/Print46c/en/data/pdf/PYINT/PYINT_BASICS.pdf
http://www.atomhr.com/training/Technical_Topics_in_HR.htm
http://www.planetsap.com/hr_abap_main_page.htm
You can see some Standard Program examples in this one ...
http://www.sapdevelopment.co.uk/programs/programshr.htm
http://searchsap.techtarget.com/originalContent/0,289142,sid21_gci1030179,00.html?Offer=SAlgwn12604#Certification
http://www.erpgenie.com/faq/hr.htm.
http://www.planetsap.com/hr_abap_main_page.htm
http://www.sapbrain.com/TUTORIALS/FUNCTIONAL/HR_tutorial.html
These are the FAQ's that might helps you as well.
http://www.sap-img.com/human/hr-faq.htm
http://www.sapgenie.com/faq/hr.htm
http://www.planetsap.com/hr_abap_main_page.htm
http://www.atomhr.com/library_full.htm
HR Long texts Upload
Look at the below link
And finally,
Few notes are below:
InfoSets in the HR Application
You can use SAP Query in HR to report on HR data. Queries are maintained as described in Creating Queries. The special features of queries created for HR are described in Maintaining Queries in the Human Resources Application. The maintenance procedure for HR InfoSets differs from the described procedure inasmuch as HR data fields are grouped together in infotypes.
InfoSet management in SAP Query is also used for InfoSet Query. For further information, see Functions for Managing InfoSets.
If you want to create InfoSets for HR, you can use logical databases PNP, PNPCE, PAP, and PCH (see HR Logical Databases). The database you must use to create your InfoSet depends on the component in which the data you want to report on is stored.
The reports you can execute using InfoSets based on logical databases PNP (or PNPCE) or PCH are similar, but differ in that they can select different objects. The following table describes the connection between the logical database, and the infotypes you can include in an InfoSet. It also provides you with one or two examples of reports that you can execute using the appropriate InfoSets.
Logical database PNP/PNPCE* PCH PAP
Selection of Persons Objects from Personnel Planning Applicants
Infotypes that can be included in the InfoSet Infotypes for· Personnel Administration (0000-0999) · Time Management (2000-2999) · Payroll infotypes · Infotypes for Personnel Planning objects that can be related to persons If the object type is specified:· Infotypes for the object type · Infotypes for objects that can be related to the specified object typeIf the object type is not specified:· All infotypes · Infotypes for Recruitment (4000-4999)· Some infotypes for Personnel Administration (such as 0001 and 0002)
· Customer infotypes
Reporting examples · Selection of all persons who participated in a specific business event, output of prices for reserved business events · Selection of all persons assigned to a specific personnel area, output of qualifications held by these persons · Selection of all business events held in London in March, output of all persons who participated in these business events · Selection of all positions assigned to a specific organizational unit, output of all persons assigned to the positions · Selection of all applicants hired last year to work on special projects, output of addresses for the applicants selected
Logical database PNPCE (PNP Concurrent Employment) functions just like logical database PNP. The procedure for creating InfoSets is also the same. It only becomes significant if you work with Concurrent Employment.
Creating InfoSets
The maintenance procedure for HR InfoSets differs from the procedure described so far in this section inasmuch as HR data fields are grouped together in infotypes. To set up an InfoSet for the HR application, proceed as follows:
1. On the initial screen for maintaining InfoSets, enter a name for the InfoSet and choose Create.
2. On the next screen, enter a name for the InfoSet and select one of the HR logical databases in accordance with your reporting requirements.
Customer infotypes can be created on all HR logical databases. In each individual case, therefore, you must decide which database to select so that you can report on customer infotypes.
This screen enables you to enter an authorization group. All of the queries that are subsequently created using this InfoSet can only be executed by persons who have this authorization group.
3. Choose .
This takes you to the Infotype Selection for InfoSet screen. You now have the option of creating field groups and assigning fields as required for non-HR InfoSets. Field groups that correspond to infotypes and already contain fields, however, are always created for HR InfoSets. The field groups are displayed in an overview tree in the top right section of the screen.
The infotypes that you included in the InfoSet are displayed in an overview tree on the left of the screen. The infotype fields that are already included in field groups are displayed in a different color, and the corresponding field group ID is displayed.
In the standard system, a field group is created automatically for each infotype that you included in the InfoSet (a field group corresponds to an infotype).
In the standard system, each field group contains the infotype-specific fields. To ensure that working with the InfoSet is as easy as possible, you are advised to restrict your use of fields in each field group to those you really require. This means you should remove fields that are not required.
An infotype's fields must only be assigned to the pertinent field group. Make sure this assignment is correct. If the assignment is incorrect, the InfoSet could be rendered unusable.
When an InfoSet is created, the following fields are transferred automatically to the first field group:
§ Logical database PNPCE or PNP Personnel number
§ Logical database PAP Applicant number
§ Logical database PCH Object ID, plan version, and object type
6. Determine the fields that must be included in the field groups of your InfoSet. If you require further information, see Assigning Fields to a Field Group.
If you want, you can change the default sequence of field groups and fields as required using Drag&Drop.
7. To save the InfoSet, choose .
8. To generate the InfoSet, choose .
On the Change InfoSet (InfoSet name) screen, you can choose Edit ® Change infotype selection to add more infotypes to the InfoSet, or to remove infotypes from the InfoSet. Remember to regenerate the InfoSet afterwards.
This screen also enables you to update InfoSets if, for example, the system contains new additional fields for specific key values. To do so, choose InfoSet ® Additional functions ® Update additional HR fields.
9. Go back to the initial screen for InfoSet maintenance.
10. Choose User group assignment.
11. Select a user group, and save your entry.
sample code
START-OF-SELECTION.
GET pernr.
rp_provide_from_frst p0000 space pn-begda pn-endda.
if pnp-sw-found EQ '1'.
READ TABLE p0001 WITH KEY pernr = p0000-pernr.
if sy-subrc = 0.
write : p0001-plans. " earliest.
endif.
endif.
rp_provide_from_last p0014 space pn-begda pn-endda.
if pnp-sw-found EQ '1'.
READ TABLE p0014 WITH KEY pernr = p0000-pernr.
if sy-subrc = 0.
write : p0014-LGART. .
endif.
endif.

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