Yes. One of the most important requirements.     

sekr

 Profile Answers by sekr Questions by sekr

• Dec 10th, 2005

some times u need to write unix progrms in back round !like batch progms ! bcz data stage can invoke a batch processing in every 24 hrs .soo.......unix must... so that we can run the unix prog in back round even min/ hrs

Answer Question  Select Best Answer

IConv() - Converts a string to an internal storage formatOConv() - Converts an expression to an output format.

Read Best Answer

Editorial / Best Answer

sekr  

 Profile Answers by sekr Questions by sekr

• Member Since Dec-2005 | Jan 30th, 2006

---

iconv is used to convert the date into into internal format i.e only datastage can understand

example :- date comming in mm/dd/yyyy format

datasatge will conver this ur date into some number like :- 740

u can use this 740 in derive in ur own format by using oconv.

suppose u want to change mm/dd/yyyy  to dd/mm/yyyy

now u will use iconv and oconv.

ocnv(iconv(datecommingfromi/pstring,SOMEXYZ(seein help which is iconvformat),defineoconvformat))

sekr

 Profile Answers by sekr Questions by sekr

• Jan 30th, 2006

iconv is used to convert the date into into internal format i.e only datastage can understand example :- date comming in mm/dd/yyyy format datasatge will conver this ur date into some number like :- 7...

Improve Answer

Typically a Reject-link is defined and the rejected data is loaded back into data warehouse. So Reject link has to be defined every Output link you wish to collect rejected data. Rejected data is typically bad data like duplicates of Primary keys or null-rows where data is expected. 

sunilsavalasang

• Oct 18th, 2006

we can handle rejected data by collecting them seperately in sequential file......

Answer Question  Select Best Answer

Staged the data coming from ODBC/OCI/DB2UDB stages or any database on the server using Hash/Sequential files for optimum performance also for data recovery in case job aborts.Tuned the OCI stage for 'Array Size' and 'Rows per Transaction' numerical values for faster inserts, updates and selects.Tuned the 'Project Tunables' in Administrator for better performance.Used sorted data for Aggregator.Sorted...

Read Best Answer

Editorial / Best Answer

sistlasatish  

 Profile Answers by sistlasatish Questions by sistlasatish

• Member Since Nov-2005 | Nov 14th, 2005

---

1. Minimise the usage of Transformer (Instead of this use Copy, modify, Filter, Row Generator)
2. Use SQL Code while extracting the data
3. Handle the nulls
4. Minimise the warnings
5. Reduce the number of lookups in a job design
6. Use not more than 20stages in a job
7. Use IPC stage between two passive stages Reduces processing time
8. Drop indexes before data loading and recreate after loading data into tables
9. Gen\'ll we cannot avoid no of lookups if our requirements to do lookups compulsory.
10. There is no limit for no of stages like 20 or 30 but we can break the job into small jobs then we use dataset Stages to store the data.
11. IPC Stage that is provided in Server Jobs not in Parallel Jobs
12. Check the write cache of Hash file. If the same hash file is used for Look up and as well as target, disable this Option.
13. If the hash file is used only for lookup then \"enable Preload to memory\". This will improve the performance. Also, check the order of execution of the routines.
14. Don\'t use more than 7 lookups in the same transformer; introduce new transformers if it exceeds 7 lookups.
15. Use Preload to memory option in the hash file output.
16. Use Write to cache in the hash file input.
17. Write into the error tables only after all the transformer stages.
18. Reduce the width of the input record - remove the columns that you would not use.
19. Cache the hash files you are reading from and writting into. Make sure your cache is big enough to hold the hash files.
20. Use ANALYZE.FILE or HASH.HELP to determine the optimal settings for your hash files.

       This would also minimize overflow on the hash file.

21. If possible, break the input into multiple threads and run multiple instances of the job.
22. Staged the data coming from ODBC/OCI/DB2UDB stages or any database on the server using Hash/Sequential files for optimum performance also for data recovery in case job aborts.
23. Tuned the OCI stage for 'Array Size' and 'Rows per Transaction' numerical values for faster inserts, updates and selects.
24. Tuned the 'Project Tunables' in Administrator for better performance.
25. Used sorted data for Aggregator.
26. Sorted the data as much as possible in DB and reduced the use of DS-Sort for better performance of jobs
27. Removed the data not used from the source as early as possible in the job.
28. Worked with DB-admin to create appropriate Indexes on tables for better performance of DS queries
29. Converted some of the complex joins/business in DS to Stored Procedures on DS for faster execution of the jobs.
30. If an input file has an excessive number of rows and can be split-up then use standard logic to run jobs in parallel.
31. Before writing a routine or a transform, make sure that there is not the functionality required in one of the standard routines supplied in the sdk or ds utilities categories.
    Constraints are generally CPU intensive and take a significant amount of time to process. This may be the case if the constraint calls routines or external macros but if it is inline code then the overhead will be minimal.
32. Try to have the constraints in the 'Selection' criteria of the jobs itself. This will eliminate the unnecessary records even getting in before joins are made.
33. Tuning should occur on a job-by-job basis.
34. Use the power of DBMS.
35. Try not to use a sort stage when you can use an ORDER BY clause in the database.
36. Using a constraint to filter a record set is much slower than performing a SELECT ? WHERE?.
37. Make every attempt to use the bulk loader for your particular database. Bulk loaders are generally faster than using ODBC or OLE.

sistlasatish

 Profile Answers by sistlasatish Questions by sistlasatish

• Nov 14th, 2005

Minimise the usage of Transformer (Instead of this use Copy, modify, Filter, Row Generator)Use SQL Code while extracting the dataHandle the nullsMinimise the warningsReduce the number of lookups in a ...

Improve Answer

A. Under Windows: Use the 'WaitForFileActivity' under the Sequencers and then run the job. May be you can schedule the sequencer around the time the file is expected to arrive.B. Under UNIX: Poll for the file. Once the file has start the job or sequencer depending on the file.

jyothi

• Mar 21st, 2006

Under Unix :what does Poll for file mean?.can u plz explain in detail

Answer Question  Select Best Answer

malneedi

 Profile Answers by malneedi Questions by malneedi

• Sep 29th, 2005

. Join and look up used to join oracle and sequential file

Answer Question  Select Best Answer

sekhar

• Sep 15th, 2005

Datastage developer is one how will code the jobs.datastage designer is how will desgn the job, i mean he will deal with blue prints and he will design the jobs the stages that are required in developing the code

Answer Question  Select Best Answer

nelab28

 Profile Answers by nelab28 Questions by nelab28

• Oct 25th, 2005

Datastage jobs are executed in the server machines only. There is nothing that is stored in the client machine.

Answer Question  Select Best Answer

Venkat

• Oct 25th, 2005

Dear User. A datawarehouse is a repository(centralized as well as distributed) of Data, able to answer any adhoc,analytical,historical or complex queries.Metadata is data about data. Examples ...

Answer Question  Select Best Answer

sekr

 Profile Answers by sekr Questions by sekr

• Jan 30th, 2006

data will partitioned on both the keys ! hardly it will take more for  execution .

Answer Question  Select Best Answer

Sharanu Patil

• Feb 28th, 2006

Its a critical question to answer, but one thing i can tell u that Datastage Tx is not a ETL tool & this is not a new version of Datastage 7.5.Tx is used  for  ODS source ,this much i know

Answer Question  Select Best Answer

jagannimmagadda

 Profile Answers by jagannimmagadda Questions by jagannimmagadda

• Mar 28th, 2006

By using This User variable activity we can create some variables in the job sequnce,this variables r available for all the activities in that sequnce.Most probablly this activity is @ starting of the job sequnce

Answer Question  Select Best Answer

Ravi

• May 28th, 2006

Question should be more detailed. I am assuming that there are too many stages, which is causing problem and providing the solution.In general. if you too many stages (especially transformers , h...

Answer Question  Select Best Answer

satheesh_color

 Profile Answers by satheesh_color Questions by satheesh_color

• Mar 9th, 2006

There are lot of Changes in DS EE. CDC Stage, Procedure Stage, Etc..........

Answer Question  Select Best Answer

satheesh_color

 Profile Answers by satheesh_color Questions by satheesh_color

• Mar 15th, 2006

There are lot of Diffrences: There are lot of new stages are available in DS7.5 For Eg: CDC Stage Stored procedure Stage etc..

Answer Question  Select Best Answer

satheesh_color

 Profile Answers by satheesh_color Questions by satheesh_color

• Mar 15th, 2006

Hashed File is used for two purpose: 1. Remove Duplicate Records 2. Then Used for reference lookups.The hashed file contains 3 parts: Each record having Hashed Key, Key Header and Data portion.By using hashed algorith and the key valued the lookup is faster.

Answer Question  Select Best Answer

Benny Lim

• Jul 21st, 2006

You may convert the Ascii Code using IBM DB2 tools. Or Setup linkage via ODBC connectivity thus loading from table to table.Of course, DB2 can extract to plain Ascii Text.For your info, Datastage loading from textfile is faster than table loading.Good luck.

Answer Question  Select Best Answer

ramoojobs

 Profile Answers by ramoojobs Questions by ramoojobs

• Apr 21st, 2006

We can use DataStage Extract Pack for SAP R/3 and DataStage Load Pack for SAP BW to transfer the data from oracle to SAP Warehouse. These Plug In Packs are available with DataStage Version 7.5

Answer Question  Select Best Answer

ashok

• May 9th, 2006

file extender means the adding the columns or records to the already existing the file, in the data stage,we can run the data stage job from one job to another job in data stage.

Answer Question  Select Best Answer

chereddy

 Profile Answers by chereddy Questions by chereddy

• May 18th, 2006

We have to create users in the Administrators and give the necessary priviliges to users.

Answer Question  Select Best Answer