Key less Technique
SAME
To more previously staged partitioning to next corresponding stage with same key column values.
ENTIRE
Can only be used in lookup stage with reference link when it is “normal lookup”
In Entire what ever the records that are processing on N1, the same set of records are processed on the rest of the node.
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RANDOM - Default / Auto
Round Robin
Generates the next number with sequence
Note :-
All the Generating stages gives the best performance when they are associated with Round Robin.
Generating Stages
column generator , Row generator, Surrogate Key stage
RANGE
It is an Expensive partitioning Technique than Mod and Hash . This technique needs data pre processing.
Note :-
Stage :- Write Range Map (Development/ Debug stage) 
To create the range if we want to use Range partitioning
Web Console
log in to “IBM information Server” with Same designer ID and PasswordàAdministration users and groups users user open
- To create New user New
- Do main Management license up gradations
- Session Management login time
- Users and groups
- Log Management Access all logic from Director
- Scheduling Management Scheduling vices
Reports
We can view and generate reports
Web console Admin DS AdminProject level Administration (or) Repository level
Brief on Surrogate key in DataStage
Surrogate key
- A kind of Alternative primary key
- Generate sequence number
Output
| Sid | Cid | CN | Add |
| 1 | 11 | A | HYD |
| 2 | 22 | B | SEC |
| 3 | 33 | C | Del |
| 4 | 22 | B | GNT |
| 5 | 44 | E | PUN |
If we don’t take surrogate key
it maintains a new column active flag(indicate current address)
o/p:
| CID | CN | ADD | A.F |
| 11 | A | Hyd | Y |
| 22 | B | SEC | Y/N |
| 33 | C | Del | Y |
| 22 | B | GNT | Y |
| 44 | E | PUN | Y |
Ex:
After data;(source)
| CID | CN | ADD |
| 11 | A | HYD |
| 22 | B | Cal |
| 66 | G | ASm |
Before Data(Target)
| CID | CN | ADD | A.F |
| 11 | A | Hyd | Y |
| 22 | B | SEC | Y |
| 33 | C | Del | Y |
Output
Before data(Target)
| CID | CN | ADD | A.F |
| 11 | A | Hyd | Y |
| 22 | B | SEC | Y/N |
| 33 | C | Del | Y |
| 22 | B | GNT | Y |
| 66 | G | ASM | Y |
After Data: (Source)
| CID | CN | ADD |
| 11 | A | GNT |
| 22 | B | DEL |
| 55 | H | MP |
Output
| CID | CN | Add | A.F | Effective start date | Effective end date |
| 11 | A | Hyd | Y/N | 3-6-06 | (9999-12-31) 26-10-10 |
| 22 | B | SEC | Y/N | 3-6-06 | (99-12-31) 27-9-07 |
| 33 | C | Del | Y | 3-6-06 | 99-12-31 |
| 22 | B | Cal | Y/N | 28-9-07 | (99-12-31) 26-10-10 |
| 6 | G | ASm | Y | 28-9-07 | 99-12-31 |
| 11 | A | GNT | Y | 27-10-10 | 99-12-31 |
| 22 | B | DEL | Y | 27-10-10 | 99-12-31 |
| 55 | H | MP | Y | 27-10-10 | 99-12-31 |
Active Tag :- (A.F)
New records will maintain flag ‘Y’
Old records ‘N’
Tables will data maintain effective start data and effective end data
If data is not displayed, then we get a new column record version , unique id
Record version, unique id
SCD - Type
Table 1
Create table SRC (SNO number (3), S name Varchar 2 (25)); Create the table and reject values
Table 2
Create table CIM (SNO number (2), S name Varchar 3 Sname varchar2 (25)); Just create the table only
5 steps for SCD – Type 1
S1:- Select output link as Fact link
S2: Map the lookup key SNO
S3: Source type = flat file
= Source Name = (Empty file Name)
S4 : identifying the purpose of each field
S5: Map required fields to fact table
Load properties
S1: Set Data set properties
S2: Set oracle properties
Table name = dim 1
Write method = upset (update and insert)
Upset order = update then insert
lab :- SCD – 1
Oracle enterprise 0
load dim 1
Oracle enterprise 1
Load src
Sno Sname
111 shilpa
222 repeka
333 Archama
SCD
- Select output link as fact
- Map the look up key sno
- Source type = flat file
Source name = E :/shilpa/scd1.txt empty file
- Map required fields to fact table
Compile and RUN
(b) Data set ----------------------àoracle enterprise
à In table (a) , save the columns is Data set 1 and also copy the path of div 1 data set
Now, is this job
Data setpaste the path is the file columns load (SCD)
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