Creating dblink to oracle database -Syntax

-- Rather than this.

CREATE DATABASE LINK hr_staff CONNECT TO hr_staff_link IDENTIFIED BY Password1 USING 'HRDEV1';

-- Use somethign link this.

CREATE DATABASE LINK hr_staff CONNECT TO hr_staff_link IDENTIFIED BY Password1 USING 'hr_staff_service';

The "tnsnames.ora" entry might look like this.

hr_staff_service=

  (DESCRIPTION=

    (ADDRESS=(PROTOCOL=TCP)(HOST=server1.example.com)(PORT=1521))

    (CONNECT_DATA=(SERVICE_NAME=HRDEV1))

  )

Grand Total in BI Publisher or RTF Templeate

By using below function you can get grand total
<?sum(//CF_AMT_CHILD[.!=''])?>

Query : Invoices on hold

select distinct
ai.invoice_num,ai.invoice_amount,ai.invoice_date
,ai.invoice_received_date,ah.hold_lookup_code,ah.hold_reason,pv.vendor_name,pv.segment1 vendor_number
,ph.segment1 po_number
,gcc.segment1||’.’||gcc.segment2||’.’||gcc.segment3||’.’||gcc.segment4||’.’||gcc.segment5||’.’||gcc.segment6
–,aid.AMOUNT
from ap_invoices_all ai
,ap_holds_all ah
,po_vendors pv
,po_headers_all ph
,ap_invoice_distributions_all aid
,po_distributions_all pda
,gl_code_combinations gcc
where 1=1
and ai.invoice_id = ah.invoice_id
and ai.vendor_id = pv.vendor_id
–and ai.po_header_id = ph.po_header_id(+)
and ph.PO_HEADER_ID = pda.PO_HEADER_ID
and ah.invoice_id = aid.invoice_id
and aid.po_distribution_id = pda.po_distribution_id
and aid.dist_code_combination_id = gcc.code_combination_id

GL source_id_int_1 Mappings

The source_id_int_1 on the xla_transaction_entities table can be used to join from SLA to related transactions in the sub-ledgers.
There is a very useful table called xla_entity_id_mappings which contains the mapping information.
This covers the mappings used for some common transaction types:

APPLICATION_ID		APPLICATION_NAME	ENTITY_CODE	SOURCE_ID_COL_NAME_1	TRANSACTION_ID_COL_NAME_1	SOURCE_ID_COL_NAME_2	TRANSACTION_ID_COL_NAME_2
200		Payables	AP_INVOICES	SOURCE_ID_INT_1	INVOICE_ID
200		Payables	AP_PAYMENTS	SOURCE_ID_INT_1	CHECK_ID
275		Projects	BUDGETS	SOURCE_ID_INT_1	BUDGET_VERSION_ID
275		Projects	EXPENDITURES	SOURCE_ID_INT_1	EXPENDITURE_ITEM_ID
275		Projects	REVENUE	SOURCE_ID_INT_1	PROJECT_ID	SOURCE_ID_INT_2	DRAFT_REVENUE_NUM
201		Purchasing	PURCHASE_ORDER	SOURCE_ID_INT_1	PO_HEADER_ID
201		Purchasing	REQUISITION	SOURCE_ID_INT_1	REQ_ID
222		Receivables	RECEIPTS	SOURCE_ID_INT_1	CASH_RECEIPT_ID
222		Receivables	TRANSACTIONS	SOURCE_ID_INT_1	CUSTOMER_TRX_ID

For example, for a Revenue in Projects, you could see that accounting info that flows from Projects through to GL would have and source_id_int_1 value related to the PROJECT_ID and a source_id_int_2 value related to the DRAFT_REVENUE_NUM.

Having access to the xla_entity_id_mappings helps take the guess work out of linking source transactions to the sub ledger tables.

-- ##############################################################################

--       SOURCE_ID_INT_1 MAPPINGS

-- ############################################################################*/

     

-- source_id_int_1 mappings

-- for a given application, find out what entity (e.g. AP_INVOICES) and column_name (e.g. INVOICE_ID)

-- found via Application Diagnostics > Subledger Accounting > Setup Diagnostics > Xla Setup Diagnostics Diagnostics Script

 

    SELECT fa.application_id

         , fa.application_short_name app

         , fat.application_name

         , DECODE(fpi.status,'I','Licensed','S','Shared','N','Not Licensed') status

         , fpi.product_version

         , fpi.patch_level

         , xeim.entity_code

         , xeim.source_id_col_name_1

         , xeim.transaction_id_col_name_1

         , xeim.source_id_col_name_2

         , xeim.transaction_id_col_name_2

         , xeim.source_id_col_name_3

         , xeim.transaction_id_col_name_3

         , xeim.source_id_col_name_4

         , xeim.transaction_id_col_name_4

      FROM xla.xla_entity_id_mappings xeim

      JOIN applsys.fnd_application fa ON xeim.application_id = fa.application_id

      JOIN applsys.fnd_application_tl fat ON fa.application_id = fat.application_id

 LEFT JOIN applsys.fnd_product_installations fpi ON fpi.application_id = fa.application_id

     WHERE 1 = 1

       AND xeim.source_id_col_name_1 IS NOT NULL

--       AND fpi.status <> 'N'

  ORDER BY fat.application_name

         , xeim.entity_code;

LOG Levels in Oracle Data Integrator

     List of LOG Levels in Oracle Data Integrator

    0=>  No Log  
   
    1=>  Displays the start and end of each session

    2=>Displays level 1 and the start and end of each step

    3=>Displays level 2 and each task executed

    4=>Displays the SQL queries executed, as well as level 3

    5=>A complete trace, inclueds level 4
   
    6=> Log level 6 has the same behavior as log level 5, but with the addition of variable tracking while
           execution or restarting  jobs.

ODI getSession object parameters usage.

We can find below listed parameters for odiRef.getSession  method parameters.

SESS_NO	Internal number of the session
SESS_NAME	Name of the session
SCEN_VERSION	Current scenario version
CONTEXT_NAME	Name of the execution context
CONTEXT_CODE	Code of the execution context
AGENT_NAME	Name of the physical agent in charge of the execution
SESS_BEG	Date and time of the beginning of the session
USER_NAME	odi User running the session.

Examples

The current session Number is: <%=odiRef.getSession("SESS_NO")%>
The current User is: <%=odiRef.getSession("USER_NAME")%>
The current Session Name is: <%=odiRef.getSession("SESS_NAME")%>
The current agent name is: <%=odiRef.getSession("AGENT_NAME")%>

What is Flow Control and Static Control and Recycle Errors in Oracle Data Integrator?

What is Flow Control and Static Control and Recycle Errors in Oracle Data Integrator?

Setting Priority Group Numbers for Logical Table Sources

You can set priority group numbers to determine which logical table source should be used for queries for which there is more than one logical table source that can satisfy the requested set of columns.

For Example , A column is mapped to multiple LTS(LTS1 & LTS2)  and you want to give first priority to LTS1 whenever this particular column is being fetched in the report so in this case you can assign a higher priority to LTS1.

To assign priority group numbers, rank your logical table sources in numeric order, with 0 being the highest-priority source and so on.
Assigning priority groups is optional. All logical table sources are set to priority 0 by default.

See below snapshot:

OBIEE 11g : Query Logging

OBIEE 11g allows controlling the information that is being logged.

We can fetch the logical as well as physical query by enabling log level.

You can enable logging level for individual users, system user, and individual request.

OBIEE provides different levels of logging as from 0(no logging) to 5(all the information).



Query Logging Levels Description:

Logging Level	Information That Is Logged
Level 0	No logging.
Level 1	Logs the SQL statement issued from the client application. Also logs the following: ·         Physical Query Response Time — The time for a query to be processed in the back-end database. ·         Number of physical queries — The number of queries that are processed by the back-end database. ·         Cumulative time — The sum of time for all physical queries for a request (that is, the sum of all back-end database processing times and DB-connect times). ·         DB-Connect time — The time taken to connect to the back-end database. ·         Query cache processing — The time taken to process the logical query from the cache. ·         Elapsed time — The time that has elapsed from when the logical query is presented to the BI Server until the result is returned to the user. Elapsed time can never be less than response time, because elapsed time takes into account the small extra time between the logical query being presented to the BI Server to the start of preparation of the query. In cases where this delta time is negligible, the elapsed time equals the response time. ·         Response time — The time taken for the logical query to prepare, execute, and fetch the last record. This matches the TOTAL_TIME_SEC that is logged in usage tracking. ·         Compilation time — The time taken to compile the logical query. ·         For each query, logs the query status (success, failure, termination, or timeout), and the user ID, session ID, and request ID.
Level 2	Logs everything logged in Level 1. Additionally, for each query, logs the repository name, business model name, subject area name, SQL statement issued against the physical database, queries issued against the cache, number of rows returned from each query against a physical database and from queries issued against the cache, and the number of rows returned to the client application.
Level 3	Logs everything logged in Level 2. Additionally, adds a log entry for the logical query plan, when a query that was supposed to seed the cache was not inserted into the cache, when existing cache entries are purged to make room for the current query, and when the attempt to update the exact match hit detector fails. Do not select this level without the assistance of Oracle Support Services.
Level 4	Logs everything logged in Level 3. Additionally, logs the query execution plan. Do not select this level without the assistance of Oracle Support Services.
Level 5	Logs everything logged in Level 4. Additionally, logs intermediate row counts at various points in the execution plan. Do not select this level without the assistance of Oracle Support Services.
Level 6 and 7	Not used.

Table Source : Oracle Docs-Managing Query Log 

Viewing logs:

Logs get stored in NQSQUERY.log file.

It is located at,

<instance_home>/diagnostics/logs/OracleBIServerComponent/coreapplication_obis1/

Also logs can be viewed from dashboard administration.

We can fetch logs from Administration>Manage Sessions

Here we can see all the logs generated for different users.

OBIEE 11g : Implicit Fact Column

An Implicit fact column is used when we have multiple fact tables and the report is getting generated using only dimension columns.

A User may request a report where it may have only Dimensions and no Fact columns. In this case, the server may sometimes get confused as to which fact table should it join to fetch the data. So it joins to the nearest fact table and pulls the data through it. So the report output obtained may be different from what the user is expecting.

So, in order to avoid this kind of error,we need to set Implicit Fact Column.

The goal of this is to guide the BI Server to make the best choice between two possible query paths.

We can set a fact attribute (measure) as an implicit fact column.

We can also create dummy implicit fact column on and assign any numeric value to it.

We can set implicit fact column in presentation catlog properties.


1.  Goto properties of presentation catlog in presentation layer.

2.  In implicit fact column section click on set and select any measure column from fact table.

3.  Click OK.

4.  Save your work.

Instead of selecting any fact measure column as implicit fact column, we can also define a dummy implicit fact.

1.  Create a Physical Column in Fact table in Physical Layer.

2.  Name it as Implicit_Column.

3.  Drag this column in Fact table from BMM layer.

4.  Double click on logical table source of fact table.

5.  In content tab, assign any numeric value to Implicit_Column.

Once this is done we can set this column as Implicit Fact Column in Presentation catlog as mentioned above.