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Showing posts with label Pushdown Optimization. Show all posts
Showing posts with label Pushdown Optimization. Show all posts

Tuesday, 25 January 2011

Informatica Pushdown Optimization


What is Pushdown Optimization and things to consider

The process of pushing transformation logic to the source or target database by Informatica Integration service is known as Pushdown Optimization. When a session is configured to run for Pushdown Optimization, the Integration Service translates the transformation logic into SQL queries and sends the SQL queries to the database. The Source or Target Database executes the SQL queries to process the transformations.

How does Pushdown Optimization (PO) Works?

The Integration Service generates SQL statements when native database driver is used. In case of ODBC drivers, the Integration Service cannot detect the database type and generates ANSI SQL.  The Integration Service can usually push more transformation logic to a database if a native driver is used, instead of an ODBC driver.
For any SQL Override, Integration service creates a view (PM_*) in the database while executing the session task and drops the view after the task gets complete. Similarly it also create sequences (PM_*) in the database.
Database schema (SQ Connection, LKP connection), should have the Create View / Create Sequence Privilege, else the session will fail.

Few Benefits in using PO

  • There is no memory or disk space required to manage the cache in the Informatica server for Aggregator, Lookup, Sorter and Joiner Transformation, as the transformation logic is pushed to database.
  • SQL Generated by Informatica Integration service can be viewed before running the session through Optimizer viewer, making easier to debug.
  • When inserting into Targets, Integration Service do row by row processing using bind variable (only soft parse – only processing time, no parsing time). But In case of Pushdown Optimization, the statement will be executed once.
Without Using Pushdown optimization:
INSERT INTO EMPLOYEES(ID_EMPLOYEE, EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL,
PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT,
MANAGER_ID,MANAGER_NAME,
DEPARTMENT_ID) VALUES (:1, :2, :3, :4, :5, :6, :7, :8, :9, :10, :11, :12, :13) –executes 7012352 times
With Using Pushdown optimization
INSERT INTO EMPLOYEES(ID_EMPLOYEE, EMPLOYEE_ID, FIRST_NAME, LAST_NAME, EMAIL, PHONE_NUMBER, HIRE_DATE, JOB_ID, SALARY, COMMISSION_PCT, MANAGER_ID, MANAGER_NAME, DEPARTMENT_ID) SELECT CAST(PM_SJEAIJTJRNWT45X3OO5ZZLJYJRY.NEXTVAL AS NUMBER(15, 2)), EMPLOYEES_SRC.EMPLOYEE_ID, EMPLOYEES_SRC.FIRST_NAME, EMPLOYEES_SRC.LAST_NAME, CAST((EMPLOYEES_SRC.EMAIL || ‘@gmail.com’) AS VARCHAR2(25)), EMPLOYEES_SRC.PHONE_NUMBER, CAST(EMPLOYEES_SRC.HIRE_DATE AS date), EMPLOYEES_SRC.JOB_ID, EMPLOYEES_SRC.SALARY, EMPLOYEES_SRC.COMMISSION_PCT, EMPLOYEES_SRC.MANAGER_ID, NULL, EMPLOYEES_SRC.DEPARTMENT_ID FROM (EMPLOYEES_SRC LEFT OUTER JOIN EMPLOYEES PM_Alkp_emp_mgr_1 ON (PM_Alkp_emp_mgr_1.EMPLOYEE_ID = EMPLOYEES_SRC.MANAGER_ID)) WHERE ((EMPLOYEES_SRC.MANAGER_ID = (SELECT PM_Alkp_emp_mgr_1.EMPLOYEE_ID FROM EMPLOYEES PM_Alkp_emp_mgr_1 WHERE (PM_Alkp_emp_mgr_1.EMPLOYEE_ID = EMPLOYEES_SRC.MANAGER_ID))) OR (0=0)) –executes 1 time

Things to note when using PO

There are cases where the Integration Service and Pushdown Optimization can produce different result sets for the same transformation logic. This can happen during data type conversion, handling null values, case sensitivity, sequence generation, and sorting of data.
The database and Integration Service produce different output when the following settings and conversions are different:
  • Nulls treated as the highest or lowest value: While sorting the data, the Integration Service can treat null values as lowest, but database treats null values as the highest value in the sort order.
  • SYSDATE built-in variable: Built-in Variable SYSDATE in the Integration Service returns the current date and time for the node running the service process. However, in the database, the SYSDATE returns the current date and time for the machine hosting the database. If the time zone of the machine hosting the database is not the same as the time zone of the machine running the Integration Service process, the results can vary.
  • Date Conversion: The Integration Service converts all dates before pushing transformations to the database and if the format is not supported by the database, the session fails.
  • Logging: When the Integration Service pushes transformation logic to the database, it cannot trace all the events that occur inside the database server. The statistics the Integration Service can trace depend on the type of pushdown optimization. When the Integration Service runs a session configured for full pushdown optimization and an error occurs, the database handles the errors. When the database handles errors, the Integration Service does not write reject rows to the reject file.