Q. List of Active and Passive Transformations
in Informatica?
Active Transformation - An
active transformation changes the number of rows that pass through
the mapping.
- Source Qualifier Transformation
- Sorter Transformations
- Aggregator Transformations
- Filter Transformation
- Union Transformation
- Joiner Transformation
- Normalizer Transformation
- Rank Transformation
- Router Transformation
- Update Strategy Transformation
- Advanced External Procedure Transformation
Passive Transformation - Passive
transformations do not change the number of rows that pass through the
mapping.
- Expression Transformation
- Sequence Generator Transformation
- Lookup Transformation
- Stored Procedure Transformation
- XML Source Qualifier Transformation
- External Procedure Transformation
Q. Eliminating of
duplicate records without using dynamic lookups?
Hi U can eliminate duplicate records by an
simple one line SQL Query.
Select id, count (*) from seq1 group by id
having count (*)>1;
Below are the ways to eliminate the
duplicate records:
1. By enabling the option in
Source Qualifier transformation as select distinct.
2. By enabling the option in sorter
transformation as select distinct.
3. By enabling
all the values as group by in Aggregator transformation.
Q. Can anyone give
idea on how do we perform test load in informatica? What do we test as part of
test load in informatica?
With
a test load, the Informatica Server reads and transforms data without writing
to targets. The Informatica Server does everything, as if running the full
session. The Informatica Server writes data to relational targets, but rolls
back the data when the session completes. So, you can enable collect
performance details property and analyze the how efficient your mapping is. If
the session is running for a long time, you may like to find out the
bottlenecks that are existing. It may be bottleneck of type target, source,
mapping etc.
The
basic idea behind test load is to see the behavior of Informatica Server with
your session.
Q.
What is ODS
(Operational Data Store)?
A collection of
operation or bases data that is extracted from operation databases and
standardized, cleansed, consolidated, transformed, and loaded into enterprise
data architecture.
An ODS is used
to support data mining of operational data, or as the store for base data that
is summarized for a data warehouse.
The ODS may also be used to audit the data warehouse to
assure summarized and derived data is calculated properly. The ODS may further
become the enterprise shared operational database, allowing operational systems
that are being reengineered to use the ODS as there operation databases.
Q. How many tasks are
there in informatica?
·
Session
Task
·
Email
Task
·
Command
Task
·
Assignment
Task
·
Control
Task
·
Decision
Task
·
Event-Raise
·
Event-
Wait
·
Timer
Task
·
Link
Task
Q. What
are business components in Informatica?
·
Domains
·
Nodes
·
Services
It’s used to keep history of changes done on the mappings
and workflows
1. Check
in:
You check in when you are done with your changes so that everyone can see
those changes.
2. Check
out:
You check out from the main stream when you want to make any change to the
mapping/workflow.
3. Version
history: It will show you all the changes made and who made it.
$$$SessStartTime
- Returns session start time as a string value (String datatype)
SESSSTARTTIME - Returns the date along with date timestamp (Date datatype)
SESSSTARTTIME - Returns the date along with date timestamp (Date datatype)
1.
$ Refers
These are the system variables/Session Parameters like $Bad file,$input
file, $output file, $DB connection,$source,$target etc..
2. $$ Refers
User defined variables/Mapping Parameters like $$State,$$Time, $$Entity, $$Business_Date, $$SRC,etc.
These are the system variables/Session Parameters like $Bad file,$input
file, $output file, $DB connection,$source,$target etc..
2. $$ Refers
User defined variables/Mapping Parameters like $$State,$$Time, $$Entity, $$Business_Date, $$SRC,etc.
3.
$$$ Refers
System Parameters like $$$SessStartTime
System Parameters like $$$SessStartTime
$$$SessStartTime
returns the session start time as a string value. The format of the
string depends on the database you are using.
$$$SessStartTime
returns the session start time as a string value --> The format of the
string depends on the database you are using.
Q.
Finding Duplicate Rows based on Multiple Columns?
SELECT
firstname, COUNT(firstname), surname, COUNT(surname), email,
COUNT(email) FROM
employee
GROUP
BY firstname, surname, email
HAVING
(COUNT(firstname) > 1) AND (COUNT(surname) > 1) AND (COUNT(email) >
1);
Q. Finding Nth Highest Salary in Oracle?
Pick
out the Nth highest salary, say the 4th highest salary.
Select
* from
(select
ename,sal,dense_rank() over (order by sal desc) emp_rank from emp)
where
emp_rank=4;
Q.
Find out the third highest salary?
SELECT MIN(sal) FROM emp WHERE
sal IN (SELECT distinct TOP 3
sal FROM emp ORDER BY sal DESC);
Q. How do you handle error logic in
Informatica? What are the transformations that you used while handling errors?
How did you reload those error records in target?
Row indicator: It generally happens when working with
update strategy transformation. The writer/target rejects the rows going to the
target
Column indicator:
D -Valid
o - Overflow
n - Null
t - Truncate
When the data is with nulls, or overflow it
will be rejected to write the data to the target
The reject data is stored on reject files.
You can check the data and reload the data in to the target using reject reload
utility.
Stop
- If the Integration Service is executing a Session task when you issue
the stop command, the Integration Service stops reading data. It continues
processing and writing data and committing data to targets. If the Integration
Service cannot finish processing and committing data, you can issue the
abort command.
Abort
- The Integration Service handles the abort command for the Session task
like the stop command, except it has a timeout period of 60 seconds. If
the Integration Service cannot finish processing and committing data
within the timeout period, it kills the DTM process and terminates
the session.
An inline view is
term given to sub query in FROM clause of query which can be used as table.
Inline view effectively is a named sub query
Ex : Select
Tab1.col1,Tab1.col.2,Inview.col1,Inview.Col2
From Tab1, (Select statement) Inview
Where Tab1.col1=Inview.col1
From Tab1, (Select statement) Inview
Where Tab1.col1=Inview.col1
SELECT DNAME, ENAME,
SAL FROM EMP ,
(SELECT DNAME, DEPTNO FROM DEPT) D
WHERE A.DEPTNO = B.DEPTNO
(SELECT DNAME, DEPTNO FROM DEPT) D
WHERE A.DEPTNO = B.DEPTNO
In the above query
(SELECT DNAME, DEPTNO FROM DEPT) D is the inline view.
Inline views are
determined at runtime, and in contrast to normal view they are not stored in
the data dictionary,
Disadvantage
of using this is
1. Separate view need
to be created which is an overhead
2. Extra time taken in parsing of view
2. Extra time taken in parsing of view
This problem is
solved by inline view by using select statement in sub query and using that as
table.
Advantage
of using inline views:
1. Better query performance
2. Better visibility of code
2. Better visibility of code
Practical use of
Inline views:
1. Joining Grouped
data with non grouped data
2. Getting data to use in another query
2. Getting data to use in another query
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