7336983 Transformation 20

8/2/2019 7336983 Transformation 20

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INFORMATICA 7.1.1

S.

NoTransformation I O V R M L Important

PA

GE

1Source Qualifier SQA/C * * Distinct,

8

2

Filter FIL

A/C * * Expression4

3Expression EXPP/C * * * Group by port, Sorted input, Expression

4Sequence Generator SEQP/C * * NEXTVAL,CURVAL

10

5Router RTRA/C * * Expression

6Union UNA/C * *

7Transactional control TCA/C * *

8Sorter SRTA/C * * Distinct

7

9

Normalizer NRMA/C * * Sequence, restart

11

Stored Procedure SPP/C-UC * * * Bad file created

12

Joiner JNRA/C * * * Sorted Input

13

Aggregator AGGA/C * * * Group by port, Sorted input

14Rank RNKA/C * * * * Group by port, Expression

15

Look-up LKPA/C-UC * * * *

16

XML Source Qualifier XMLA/C

17

Custom CTA-P/C * *

18

External Procedure EPP/C-UC * * *

19Update Strategy UPDA/C * *

DD_INSERT, DD_UPDATE, DD_DELETE,DD_REJECT - UP as UP , UP as IN, UP else In ,TrancEXPRESSION - Reject file created

20 Midstream XML Parser

21 Midstream XML Generator

22 Application Source Qualifier

23 MQ Series Qualifier

24Application Multi groupQualifier

M.SHANMUGAM Transformation Details Page 1 / 24


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SHANMUGAM.M



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1. AGGREGATOR TRANSFORMATION

A/C - AGG

DEFINITION

The Aggregator transformation is Active and Connected.The Aggregator transformations allow you to perform to aggregate calculation.You can use the aggregator transformation to perform calculation on groups.The Row which meet the condition are passed to target.The doesnt meet the condition, rejected row store rejected file or Bad file directory.

AGGREGATOR FUNCTIONS

AVG MAX STDDEVCOUNT MEDIAN SUMFIRST MIN VARIANCELAST PERCENTILE

PORTS

INPORTS - (I) each input Receive dataOUTPORTS - (O) Pass the data to other transformationVRIABLE PORTS - (V) its stores the Intermediate result it can reference input ports

Not to out portsGROUP BY PORT -

PROPERTIES

Cache Directory - $PMCaheDir

Tracing Level - Normal ( Terse / Normal / Verbose initialization /verbose data )

Sorted Input -Aggregator Data Cache - 2000000 BytesAggregator Index Cache - 1000000 BytesTransformation Scope - All input (Transaction / All Input)

COMPONENT

Aggregate Expression - Non aggregate Expression / Conditional ClassAggregate Cache -

Group by Port - Which column you want group by Eg. DeptSorted Input - Reduce the amount of data cached

AGGREGATOR CACHE:

The PCS stores data in the aggregate cache until it complete the aggregator calculationIndex Cache : It stores the group value, As Configured in the group by portData Cache : Stores calculation ( Row data Stores, output value) Based on group-by-ports

OPTIMIZATION

Group by simple columns like numbers instead of string or date Use sorted input Use incremental aggregation Minimize the aggregate function Before filter transformation best ( Reduce the Data) Lookup unconnected & stored procedure we can call



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2. EXPRESSION TRANSFORMATIONP/C - EXP

DEFINITION

Expression Transformation Passive and connected transformationThis can be calculate values in a single row before writing to the target.Row by row calculation,Perform the any non aggregate function

EXPRESSION FUNCTIONS

The Expression Transformation is used for data cleansing and scrubbingThere are over 80 functions within PowerCenter, such as salary, concatenate, instring, rpad,ltrim and we use many of them in the Expression Transformation.We can also create derived columns and variables in the Expression Transformation.

COMPONENT

Expression - we can call Unconnected Stored Procedure and Unconnected Lookup

PORTS

INPORTS - (I) Each input port Receive dataOUTPORTS - (O) which provide the value to either target or next transformation

in the mapping is called output portsVARIABLE PORTS - (V) Its stores the Intermediate result it can reference input ports

( -Which stores the variable information )PROPERTIES

Tracing Level - Normal ( Terse / Normal / Verbose initialization /verbose data )

OPTIMIZATION

Factoring out common logic Minimizing aggregator function calls. For Eg.use SUM(A+B) instead of using SUM(A) +

SUM(B) Replacing common sub expression with local variables Choosing Numeric Vs String operation Choose DECODE function Vs LOOK UP operation Choose CONCAT operation for Eg use |||| instead of CONCAT (Fname, Lastname) you can enter multiple expression in a Single Expression Transformation.



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3. FILTER TRANSFORMATIONA/C - FIL

DEFINITION

This is a type of active and connected Transformation which is used to filter of the source rowsbased on a condition.

Only the row which meet the condition are pass through to target. Any kind of source we can use filter Transformation Filter condition drops data that does not match the condition We can put one or more condition (more condition means we can use AND , OR operator) Discards rows dont appear in the session log or reject files

PORTS

INPORTS - (I) Receive data from source

OUTPORTS - (O) Pass the data to other Transformation

PROPERTIES

Filter Condition : Tracing Level : Normal (Normal / Terse / Verbose init / Verbose data )

OPTIMIZATION (TIPS)

Use the filter transformation early in the mapping (or) nearly in SQ The filter condition is case sensitive, and queries in some database do not take this into

account.

TROUBLESHOOTING

Case sensitivity : the filter condition is case sensitiveAppended spaces : use the RTRIM function to remove additional space

FUNCTIONS

- You can use one or more condition in filter transformation

- AND , OR logical operator through



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4. JOINER TRANSFORMATIONA/C - JNR

DEFINITION

- This is active and connected Transformation.- Can be used to join two sources coming form two different locations or same location.- We can use homo genius and hetero genius sources- Join a flat file and a relational sources or to join two flat files or to join a relational source

and a XML source.CONDITION

1). Two sources there must be at least one matching ports or columns2). Two sources there should have Primary key and Foreign key relationship

PORTS

INPORTS - (I) Receive data from sourceOUTPORTS - (O) Pass the data to other TransformationMASTERPORTS - (M) If checked master(small) otherwise details (large)

(to switch the Master Details relationship for the source )PROPERTIES

1 Cache sensitive String Comparison - (Character data only enable)2 Cache Directory - $PMCacheDir3 Join Condition -

4 Join Type -NORMAL (Normal - M.outer -D.outer- Full Outer)5 Null ordering in Master -Null is highest value (Null is lowest value)6 Null ordering in Detail -Null is highest value (Null is lowest value)7 Tracing Level -Normal (Normal / Terse / Verbose init / Verbose data )8 Joiner Data cache size - 20000009 Joiner Index cache size - 1000000

10 Sorted Input -11 Transformation Scope - All input (Transaction / All Input )

COMPONENT

Case sensitive string comparison - (Character data only enable)Cache directory -

Join condition -

Joiner type - ( Normal, Master Outer, Detail Outer, Full outer)

CACHE

Joiner Data cache size : Out put value onlyJoiner Index cache size : The index cache holds rows from the master source that are in

the join condition.



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Index cache

Stores index values for the master source table asconfigured in the join condition.

Data Cache

Stores master source rows.

FUNCTIONS

Following types of source can be used in a joiner

Two relational tables existing in separate databases Two flat files in potentially different file systems Two different ODBC sources Two instances of the same XML sources A relational table and a Flat file source A relational table and a XML source

A joiner cannot contain the following types of source

Both pipelines begin with the same original data sources. Both input pipeline originate from the same source qualifier transformation Both input pipeline originate from the same normalizer transformation. Both input pipeline originate from the same joiner transformation. Either input pipeline contains an update strategy transformations Either input pipeline contains a connected or unconnected sequence Generator transformation.

PERFORMANCE

Use sorted input (flat file ,relational data,) Minimizing the disk input and output Use in front of sorted transformation For an unsorted joiner transformation, designate as the master source the source with fewer rows For an sorted joiner transformation, designate as the master source the source with fewer duplicate key

values Following Transformation we cant use before the joiner Transformation.

- Sequence Generator Transformation directly- Update strategy Transformation

TIPS

- sorted input improve the session performance.

- Dont use following transformation sort origin and joiner transformation- Custom , Unsorted aggregator, Normalizer, Rank.- Sort order from both table( master & Detail)- Normal or Master outer join perform than a full outer or detail outer join.

Normal - Matched Rows form master and detail sourceMaster - all rows data from the detail source and the matching rows from the master sourceDetail - all rows data from the master source and the matching rows from the detail sourceFull outer - all rows rows of data from both the master and detail sources



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5. RANK TRANSFORMATIONA/C - RNK

DEFINITION

This an Active and Connected TransformationWhich is used to identify the Top or Bottom rank of data based on condition.Rank transformation to return the largest or smallest numeric value in a port or groupWe can use a rank transformation to return the strings at the top or the bottom of a session

sort order.

FUNCTIONS

ASCII - Binary sort orderUNICODE - Session sort order in session properties (code Page)

Binary sort orderBinary value string and returns rows with the highest binary values for string

PORTS

INPUT ( I) - minimum of oneOUTPUT (O) - minimum of oneVARIABLE (V) - Stores values or calculations to use in an expressionsRANK (R) - Only one (default port-only out put return only)

EXPRESSION -GROUP BY PORT -

PROPERTIES

CACHE DIRECTORY - $PMCacheDirTOP / BOTTOM - TOPNUMBER OF RANKS -

CASE SENSITIVE STING COMPARISON -

TRACING LEVEL - normalRANK DATA CACHE SIZE - 2000000RANK INDEX CACHE SIZE - 1000000

TRANSFORMATION SCOPE - All input (All input/ Transformation)

CACHE

Index Cache Data Cache

Stores group values as configured in thegroup by ports.

Stores ranking information based on the groupby ports.Can must run the session on a 64bit PoweCen

PERFORMANCE- Configure ASCII mode



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6. SORTER TRANSFORMATIONA/C - SRT

DEFINITION

It allows to sort data either in ascending or descending according to a specify sort key (field) Also used to configure for case- sensitive sorting and specify whether the output rows should

be distinct.

FUNCTIONS

- Sort data from relational or flat file source.

- The sorter transformation treats the data passing through each successive sort key port as aSecondary sort of the previous port.

COMPONENT

DIRECTION (V) - Ascending or Descending

PORTS

INPORTS (I) - Receive data from sourceOUTPORTS (O) - Pass the data to other TransformationKEY (V) - Which one u want to sort the A/D)

PROPERTIESSorter cache size :10000000 #input rows + [ (column size) + 16]Case sensitive : (enable)Uppercase higher than lower caseWork directory : #PMTempDir (Temp file store-sorting timeDistinct : enable eliminate duplicate value in out putTracing level : normal ( Terse / Normal / Verb init / Verb data ) Null treated low : (enabletreat null values higher than any other value)

Transformation scope :All input 1) Transaction 2) All Input

SORT DATA

Each successive sort key port as a secondary sort of the previous port

FORMULA

# input rows [( column size ) + 16]

PERFORMANCE

- Sorter transformation to sort data passing through an Aggregator transformation configured to usesorted transformation

- You should configure sort criteria to PCS applies to all sort key ports



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8. ROUTER TRANSFORMATIONA/C - RTR

DEFINITION

- This is an active and connected Transformation- Similar to Filter Transformation- Single input multiple Target opp to union Transformation.- Processing the incoming data only once and passes the output to multiple groups and routes data to

the default O/P group that do not meet the conditionFUNCTIONS

- Router Transformation in a mapping the PCS process the incoming data only once.- Router Transformation efficient of Filter Transformation- Router Transformation one input group multiple output group

(user define output group (many) & default output group (one only)

PORTS

Input Port - (enable ) only input groupOutput Port - (not visible) - only output group ( because group only findout)

GROUP

Input group - user define group to test a condition based on incoming dataOutput group- 1. user defined group

2. Default groupwe cant modify on delete output ports- only connected target group- out put group of sequential only default created.- If you want the PCS to drop all rows in the default group, dont connect it to a

transformation or a Target in a mapping.- If rows meet more then one group filter condition, the PCS Passes this rows multiple time

PROPERTIES

Tracing Level -

COMPONENT

Input and Output groups

Input and Output ports

Group filter conditions

PERFORMANCE &TIPS

- One group can be connected to more then one transformation or target- One output ports in a group can be connected to multiple transformation or targets.- Multiple output ports in one group can be connected to multiple transformations or targets

- More than one group cannot be connected to one transformation or target- We cant connect more then one group to multiple input group Transformation, except for joinertransformations, when you connect each output group to different input group.



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9. SEQUENCE GENERATOR TRANSFORMATIONP/C - SEG

DEFINITION

Sequence Generator Transformation generates the numeric values.SGT to create unique primary key values, cycle through a sequential range of numbersCommon Use: - SG when you perform multiple loads to a single target

- Replacing the missing values.We cant connect to more then one transformation

FUNCTIONSCURRVAL - NEXTVAL + INCREMENTAL BY VALUE

One row in each blockCurrval port without connecting the nextval portPowerCenter server passes a constant value for each rowOne row in each block

NEXTVAL - primary key down stream transformationUnique PK values formation to generate the sequential based on the current value

PORTS ( Both are default port )

INPORTS - Receive data through unconnected TransformationOUTPORTS - Pass the data to other transformation

- 2 Default output ports 1. NEXTVAL , 2. CURVAL

PROPERTIES

Start value - 0 cycle option (enter the value complete the cycle value after restart thevalue

Increment by - 1 D b/w 2 consecutive values from the nextval port the default values is 1End value - (1-2147483647) the maximum values powerCenter generates.

- sequence is not configured to cycle it fails the session.Current value- enter you want first value PC server to use in sequence

-must be generate than or equal to the start value and less than the endvalue.

Cycle - If selected sequence range (up to limit)- If not selected session failure with overflow error.

Number of cached values 1 no of cached values determine the number of values the PCserver caches at one time

Reset - If selected, PC generates values based on the original current value for eachsession (other wise)Reflect the last generated value(Reusable is disabled for reusable sequence generator Transformati

Tracing level - level of information

PERFORMANCE

NON REUSABLE SEQUENCE GENERATOR

Cache enable limit grater than 0.- row skipped the value.- discards the unused values.

REUSABLE SEQUENCE GENERATOR-Cache enable some upto limit Eg.1000

OPTIMIZATION Use reusable sequence generator if the same sequence generator is to be used in more than one sessions. Optimize performance by connecting only the nextval port in a mapping Sequential reusable and use it in multiple mapping.



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FUNCTIONS

- Perform the following task with a sequence generator Transformation- Create keys- Replace missing the value- Cycle through a sequential range of numbers



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10. UPDATE STRATEGY TRANSFORMATION

A/C - UPDDEFINITION

This is an active and connected transformation.It is used to update in data in target table, either to maintain history of data or recent changesIt is used to flag the records for Insert, update, Delete and Reject rows in the Target database.It is used in slowly changing dimension to update the target table.This transformation used to SCD-1,SCD-2 and SCD-3 type.

FUNCTIONS

Set at a 2 levels

1. Within a session treat all records in the same way

for example, treat all records as

DD_INSERT-0,DD_UPDATE-1,DD_DELETE-2,DD_REJECT-3,

2. Within a Mapping Levels Flag records for insert, update, delete or reject

Insert. Select this option to insert a row into a target table.

Delete. Select this option to delete a row from a table.

Update. You have the following options in this situation:

Update as update. Update each row flagged for update if it exists in the target table.

Update as insert. Inset each row flagged for update.

Update else Insert. Update the row if it exists. Otherwise, insert it.

Truncate table. Select this option to truncate the target table before loading data.

PORTS

INPORTS (I) - Receive data from sourceOUTPORTS (O) - Pass the data to other Transformation

PROPERTIES

Update strategy expression -0 (DD_INSERT-0,DD_UPDATE-1,DD_DELETE-2,DD_REJECT-3,)

Forward rejected rows - enable - flags the rows for reject and writes them to the session reject file.Tracing level - normal ( Terse / Normal / Verb init / Verb data )

FUNCTION

SCD-1 : It keeps the most recent updated values in the targetSCD-2 : It keeps the full historical business information in the target

The full history is maintain by inserting the new record in the targetSCD-3 : It keeps previous value and current

PERFORMANCE

1. Whenever use Dynamic cache - at the time you must use UPD transformation

2. Dynamic lookup use you can must select1. Select insert 2. select update as update 3. Dont select delete

3. UPD - > AGG Use only Update , Insert , Delete4. AGG - > UPD Use only Update , Insert , Delete, Reject

UPDATE STRATEGY

Dynamic lookup u must use UPD transformationBusiness Logic :

IFF((current date>Previousdate) , DD_reject, DD_update) Update, Insert , Delete

Update, Insert , Delete , Reject


UPD AGG

AGG UPD


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- Dynamic lookup use you can must select- Select Insert- Select Update as update- Dont select delete



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11. LOOKUP TRANSFORMATION

P/C & UC - LKP

DEFINITION

Look up Transformation in lookup data in flat file or a relational table, view or synonymGet a related valueLook up transformation is used to perform the following task.

Get a related valuePerform a calculationUpdate slowly changing dimension

FUNCTIONSRelational look up - dynamic cache useFlat file lookup - must use in static cache

- we can configure sorted inputPORTS

INPUT ( I) -

OUTPUT (O) -

LOOKUP (L) -

RETURN (R) -

PROPERTIES

Look up SQL Override (R) -

Lookup table name (R) -

Lookup caching enabled (R/F) -

Lookup policy on multiple match -

Lookup condition -

Location information -

Source type -

Re cache if stale

Tracing level

Lookup cache directory name

Lookup cache initialize

COMPONENT

Look up table

Ports

Properties

Condition

Metadata Extensions

LOOK UP CACHE

Persistent cache

Re cache from databaseStatic cache

Dynamic cache

Shared cache

PERFORMANCE

Cached lookup:By indexing the columns in the lookup Order by



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LOOK UP TRANSFORMATION

Look up

To look up data in Flat File, Table, Synonym, View.

Use multiple lookup transformation in a mapping

Performs the following tasks

Get related value

Perform calculations

Updated slowly changing dimension tables.

Connected LookupStatic cache : return value from the lookup query.Dynamic cache : Case 1 : No rows found in cache inserts the record

Case 2 : Row found in cache - updates the recordsUnconnected Lookup

- Common use into update slowly changing dimension tables- Returns one value into the return port of look up transformation

Connected or Unconnected

- Receive input and send output in different ways

Relational or flat file lookup

Cached or uncached

Dynamic - RelationalStatic - Flat fileCached - Performance ( store the value whenever you want lookup table refer onlyUncached - each time lookup the value.

Connected Lookup Transformation

Unconnected Lookup Transformation

Relational & flat files lookups Relational Lookups - Dynamic cache Flat file lookup - Can use sorted input

- Can use indirect file- Can sort null date high- Can use case sensitive string comparison

LOOK UP COMPONENTS

Look source - cached lookup order by Ports - Uncached lookup select

Properties - Conddtion -

PORTS

INPUT PORT (I) -

OUT PORT (O) -

LOOKUP (L) -

RETURN (R) - only in connected lookup transformation

PROPERTIES

Lookup SQL override (R) - Lookup table name (R) - Table, Synonym, View

Lookup caching enabled (R/F) - Lookup policy on multiple match (F/R)- enable mean (first, last, return an error) Look Condition (F/R) - Connection information (R) - Source Type (R/F) -



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Tracing Level (R/F) - Lookup cache Directory name (F/R)- Lookup cache Persistent (F/R) - Look up Data cache size (F/R) - Look up index cache size (F/R) - Dynamic lookup cache (R) - insert (or) updates (only lookup cache enabled) Output old value on update (F/R) - use only with dynamic cache enabled Cache file name prefix (F/R) - use only with persistent lookup cache

- name prefix to use persistent lookup cache file

Re cache from lookup source(F/R) - Rebuild the persistent cache file Insert else update (R) - use only with dynamic cache enabled Update else Insert (R) - Date Time format (F) -

Thousand separator (F) - default no separator (, .) Decimal separator (F) - default period (, .) Case sensitive string comparison(F) - Null ordering (F) - Sorted Input (F) -

Configuring Lookup Properties in a Session

Flat file lookups - (file name and file type) Relational Lookup - (u can define $source & $Target variable in session)

Configuring Properties Flat file Lookup in a Session

Lookup source file directory - $LookupFileDir (default) Lookup source file name - Lookup source file name - Direct

Configuration Relational Lookups in a Session

Choose any relational connection Connection variable , $DBconnection Specify database connection for $Source and $Target

Lookup Query

Default lookup query

SELECT - SQL override

ORDER BY - we can use enabled the cache ( u cant view this )

Overriding the lookup Query

override the ORDER BY statement

A lookup table name(or) columns contain a reserved word - 'reserved word

Use mapping parameter & variables

A Lookup column name contains a slash (/) character

Add where statement

Other

Overriding the ORDER BY Statement

Order by - -Reserved words

- lookup or column names contain a database reserved wordsuch as Month,Year session fails

- resword.txt (PC initialization Directory)Guideline to Overriding the Lookup Query

- SQL override only lookup SQL query relational only- Cache not enable PCS doesnt recognize the override- Default query or configure override lookup / output port add or subtract port from the

SELECT statement, the session fails,- Filter before lookup using dynamic cache when you add where clause to lookup SQL override



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- Override the ORDER BY statement session fail (because doesnt contain condition port)Dont suppress order only

- Reserved word session fail if you want use quotes ( )Step overriding the Lookup Query

Properties Tab enter SQL overrideValidate to test

Lookup condition

1 . Data type in condition must match

2. Multiple condition use AND, OR3. Flat file for sorted input session fail (condition are not grouped so you select group column)

Uncached Static cache

1. =, >, =,


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1. Add an index to the column used in a lookup condition2. place condition with an equality operator(=)first



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LOOKUP CACHE

Index - PCS Condition value

Data Cache - Output Value

Default - $PMCacheDir

- Data doesnt fit in the memory cache- PCS stores the overflow value in the cache file when the session complete- Flat file lookup for sorted input

1. Persistent Cache :- Save and reuse them the next time2. Recache from source

- persistent cache is not synchronized with the lookup table- Rebuild

3. Static Cache

- Read only- Default cache- PCS doesnt update the cache

4. Dynamic Cache

- insert new rows or update existing row

- Dynamic insert & update pass data to target table- Cant use flat file

5. Shared Cache

- use can use multiple transformation

1. PERSISTENT CACHE :

- PCS save or delete lookup cache files after successful session based on the lookup cachepersistent property.

- Lookup table doesnt change between session you can configure the lookup transformation touse a persistent lookup cache.

- PCS saves & reuses cache files from session to session so eliminating time required to read thelookup table.

Non Persistent Cache

- Enable caching in lookup transformation the PCS delete the cache files at the end of a session- Next time you run the session the PCS build the memory cache from the database.

Persistent cache

- If you want save and reuse the cache files you can configure the transformation- Use persistent cache the lookup table doesnt change between session runs- Lookup table changes occasionally, can override session properties to re caches the lookup from

the database- Use Persistent cache means you can specify a name for the cache file

PCS server handling of persistent caches

2. REBUILDING THE LOOKUP CACHES

- Rebuild the Lookup caches, lookup sources changed size the last time the PCS build the cache- When you rebuild the cache the PCS create new cache file overriding existing persistent cache

file- The PCS server write a message to the session log file when if rebuild the caches- Dont choose the to recache the lookup source PCS automatically rebuild the persistent cache



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3. STATIC CACHE (or) UCACHED LOOKUP

- The PCS builds the cache when it process the first lookup request- PCS doesnt update the cache.- Condition true connected lookup transformation return values represent by lookup/output

ports.- Condition true - unconnected lookup transformation return values represent by return ports.- Condition is not true connected lookup transformation return values to output port.- Condition is not true unconnected lookup transformation return null values to returns port.- Multiple partition means PCS create one memory cache for each partition .

4. DYNAMIC LOOKUP CACHE

- Insert the row into the cache- Update the row in the cache- Makes no changes to the cache

- Some situation when you can use dynamic lookup cache1. Update a master customer table with new & updated customer information

- Static lookup cache - fact file- Dynamic lookup cache - Relational table

2. Loading data into a slowly changing dimension table & a fact table3. Router or filter - use

4. Multiple partition in a pipeline that use a dynamic lookup cache the PCS create one mememory cache and one disk cache for each transformation .

New lookup row port

- Target table synchronized- Ignore Null input for updates- Ignore in comparison

Ignore Null values

Using the Associated Input port :

- You must associated each lookup/out port with an input/output port or a sequence ID- The PCS uses the data in the associated port to insert or update rows in the lookup cache.

Sequence ID Generate following Process

- PCS create dynamic lookup cache tracks the range of value in the cache associated withany port using a sequence ID

- Maximum value for a sequence ID is 2147483647.Working with lookup Transformation values

- Associated an input/output ports or a sequence ID with a Lookup/output port followingValue match default.

Input Value - PCS passes into the Transformation

Lookup Values - PCS Passes insert into the cache.

Input /output port output value PCS Passes out of the Input/output port- Out put old value on update PCS output the value that existed in the cache before it

updated the row.- Out put new value on update PCS output the updated value that it write in the cache- When the update a dynamic lookup cache & Target table.- PCS can handle the null values in the following ways.

Insert Null values -

Ignore Null values - (Not null values)

- When you run a session that use a dynamic lookup cache PCS compares the value in alllookup ports with the value.

- If compare the value to determine whether or not to update the row in the lookup cache.Update strategy Transformation with a Dynamic chache.

1. Row entering the lookup Transformation : (By default) all row type all rows entering a

lookup transformation is insert.2. Row Leaving the Lookup Transformation : PCS changed the lookup cache but it does not

change the row type- Update Strategy transformation & a dynamic lookup cache you must define certain



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session properties- PCS result the lookup cache & Target table might become unsynchronized.

5. SHARING THE LOOKUP CACHE

- You can configure multiple lookup Transformation in a mapping to store a single lookupcache.

- You can share cache that are unnamed & named.1. Unnamed Cache: - Compatible caching structure

- The PCS share the cache by default you can share static unnamed

caches. 2. Named Cache : - Use a persistent named cache- when you want to share cache files across mapping or share and a static

cacheSharing an Unnamed Lookup cache :

- When 2 Lookup transformation share an unnamed cahce.- You can share static unnamed cache.

Sharing a Named Lookup Cache.

- We can share the cache between multiple lookup transformation by using a Persistent- We can share one cache between lookup Transformation is the same mapping (or) across

mapping

- Named cache cache directory for cache files with the same files name prefix.- Specify the cache file directory.- PCS rebuild the memory cache from the persisted file- PCS structure dont match the PCS fails the session.- PCS process multiple session simultaneously when the lookup transformation only need

to read the cache files.- A named cache created by a dynamic lookup transformation with a lookup policy

TIPs

- PCS then saves & reuses cache files from session to session, eliminating the timerequired to read the lookup table



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14. UNION TRANSFORMATIONA/C - UN

DEFINITION

- Union Transformation is a multiple input group transformation which is responsible for merging thedata coming from more then one source.

- Union Transformation also merge the data Hetero geneous sources also.- Union Transformation is newly introduced in Informatica 7.1 version onwards.- Union Transformation to the UNION ALL statement

- Union Transformation is developed using the custom Transformation.

FUNCTIONS

- Create Multiple input groups but only one output groups- All Input groups and the out put groups must have matching port. The precision, data type, and scale

must be identical across all groups- Union Transformation doesnt remove duplicate rows.- To remove duplicate rows you must add another transformation upstream from a union Transformation.- Cant use sequence generator or update strategy transformation upstream from a Union Transformation.- Union Transformation doesnt generate transaction.

COMPONENTTransformation Tab : you can rename the transformation and add a descriptionProperties Tab : you can specify the Tracing levelGroups : you can create & delete input groups (Design displays groups you create

on the ports tabGroups ports tab : you can create & delete ports for the input groups

We cant modify ports, Initialization properties, meta data Extension or port attributes definition Tab

PORTS

Groups & ports :

Multiple input groups & one output groups, Design create output groups by default we cant editor delete the outputs groups

MAPPING

- Union Transformation is a non blocking multiple input group Transformation- When you add a Union Transformation to a mapping you must verify that you connect the same ports in

all inputs groups. If you connect all ports in one input group but dont connect a port in another inputgroups. If you connect all ports in one input groups, but dont connect a port in another input group thePCS passes Nulls to the unconnected ports

PROPERTIES Mapping level - Session LevelModule identifies - PmuniontransFunction identifiers - pmunionfuncRuntime Location - enableTracing Level - Normal enableIs Partition able -Inputs Must Block -Is Active -Update Strategy Transfomat -Transformation Scope - Row

Generate Transformation -Output Repeatable - Never

PERFORMANCE

7336983 Transformation 20

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